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Financial market regulation and job creation
      Insights from the recent ILO Global Employment Trends Report



                            Ekkehard Ernst1

                           1
                             Employment Trends Unit
                      International Labour Organization
                                    Geneva
                                ernste@ilo.org

                         http://ekkehard.ernst.free.fr


                                  ECB
                             Feb 10th, 2012




 E. Ernst (ILO)                GET presentation             Frankfurt, 2012   1 / 26
Overview of the GET report   What is the GET?



The ILO Global Employment Trends Report


                                           ILO’s annual flagship study.
                                           Discusses global and regional employment
                                           trends.
                                           Medium-term projections on the basis of
                                           consensus GDP forecasts (up to 2016).
                                           Analyses of particular key macro and
                                           policy developments.
                                           This year: Financial market crisis and its
                                           consequences.
                                           Available at: http://www.ilo.org/get




   E. Ernst (ILO)                      GET presentation                  Frankfurt, 2012   2 / 26
Overview of the GET report   Key messages



Key messages from the GET report

   Global unemployment
        has increased by 27 million since the start of the crisis
        could reach up to 210 million next year
        will only gradually decline by 2016


   Working poverty
        1 in 3 workers is either poor or unemployed
        Declining trend in working poverty has been stopped by the crisis


   Global investment
        An increase by 2 pp could absorb global unemployment
        Corresponds to $1200 billion.

    E. Ernst (ILO)                      GET presentation            Frankfurt, 2012   3 / 26
Overview of the GET report                Motivation of today’s talk



Investment is key for employment recovery

                                   220                                                                                                             7.0
       Unemployment (in million)


                                   210




                                                                                                                                                         Unemployment rate (in %)
                                                                                                                                                   6.5
                                   200

                                                                                                                                                   6.0
                                   190


                                   180
                                                                                                                                                   5.5

                                   170
                                                                                                                                                   5.0
                                   160


                                   150                                                                                                             4.5
                                         2002   2003   2004   2005   2006   2007   2008   2009   2010   2011    2012   2013   2014   2015   2016


                                                              Total unemployment                               Total unemployment −
                                                                                                               downside scenario
                                                              Unemployment rate                                Unemployment rate −
                                                                                                               downside scenario
                                                              Unemployment rate −                              Unemployment rate −
                                                              upside scenario                                  boosting investment




    E. Ernst (ILO)                                                             GET presentation                                                Frankfurt, 2012                      4 / 26
Overview of the GET report   Motivation of today’s talk



Financial market returns and investment


                              4.0
                                                                                                                            2010
                                                                                                                 2006
                                                                                                          2007
       Annual average productivity growth


                                                                                                       2000
                                                                                                                   2004
                                    3.0


                                                                                                         2005

                                                                                                                 2011
                            2.0




                                                                                                  2003
                  (in percent)




                                                                                               2008


                                                                                 2002
                   1.0




                                                                         2001
          0.0                 −1.0




                                            2009


                                             −2.0                    −1.0                  0.0                            1.0
                                                                  Changes in investment shares
                                                                      (in percentage points)



    E. Ernst (ILO)                                                    GET presentation                                  Frankfurt, 2012   5 / 26
Financial markets and unemployment flows   Research strategy



How do financial markets affect jobs?




    E. Ernst (ILO)                         GET presentation              Frankfurt, 2012   6 / 26
Financial markets and unemployment flows   What drives unemployment dynamics?



An overview of the model flows I



  Decomposing unemployment dynamics

                                Ut =       Lt −      ETt = INt − OUTt

  Labour force growth

                         Lt = α3 + β31 Lt −1 + β32 ut −1 + β33 Taxt

  Employment growth

                             ETt = JobCreationt − JobDestructiont




    E. Ernst (ILO)                         GET presentation                          Frankfurt, 2012   7 / 26
Financial markets and unemployment flows   What drives unemployment dynamics?



An overview of the model flows II



  Job creation

   JobCreationt = β11 ETt −1 + β12 wt + β13 ADt + β14 Ut + β15 Vt + β16 Financet −1

  Job destruction

  JobDestructiont = β21 TFPt +β22 Financet +β23 εt +β24 IMPt +β25 wt +β26 ADt

  Wage determination:

                      wt = α4 + β41 Kt + β42 CBt + β43 ut −1 + β44 Taxt




     E. Ernst (ILO)                         GET presentation                          Frankfurt, 2012   8 / 26
Financial markets and unemployment flows   What drives unemployment dynamics?



Putting the pieces together

Substituting the flow equations:


                             OUTt        = JobCreationt
                                 INt     = JobDestructiont + ∆Lt −1

Hence:


 OUTt       =     β11 OUTt −1 + β12 INt + β13 XtJobCreation + β14 ut −1 + β15 Financet −1
   INt      =     β21 INt −1 + β22 OUTt + β23 XtJobDestruction + β24 Lt −1 + β25 Financet

where:
                                        Share prices                  Interest rates
                Finance =
                                   Financial development             Market volatility



         E. Ernst (ILO)                         GET presentation                          Frankfurt, 2012   9 / 26
Financial markets and unemployment flows   Financial market development and unemployment flows



Finance and unemployment flows: Hypotheses

       Mount-Pelerin-Hypothesis
              Financial development positive for labour dynamics
              Reduces unemployment inflows
              Increases unemployment outflows


       Schumpeter-Hypothesis
              Financial development leads to more turnover
              Increases both U inflows and outflows


       Attac-Hypothesis
              Financial development comes at the expense of the real
              economy
              Destroys jobs without creating new somewhere else
   E. Ernst (ILO)                         GET presentation                          Frankfurt, 2012      10 / 26
Financial markets and unemployment flows   Financial market regulation and unemployment flows



Financial market regulation

    Regulation of international capital flows
          e.g.: FTTs, capital controls
          reduce availability of foreign capital
          lower financial market competition but also reduce volatility


    Banking sector regulation
          e.g. macro-prudential regulation
          reduces credit growth
          ambiguous effect on interest rates, expected to reduce volatility


    Regulation of (securitized) financial products
          e.g. CCPs
          reduce diversity and availability of (securitized) products
          ambiguous effects on volatility
    E. Ernst (ILO)                         GET presentation                           Frankfurt, 2012    11 / 26
Finance and jobs   Data and methodology



A word on the data
  Unemployment flows come from Elsby et al. (2008)
       Constructed on the basis of information regarding unemployment duration at
       different duration lengths
  Information on financial market development is based on updated data by
  Torsten Beck
       Size of financial sector assets and liabilities (banking, bond markets, stock
       markes)
  Financial sector reforms has been provided by Abiad et al. (2008)
       Information on interest rate ceilings, credit growth restrictions, entry barriers
       for banks, (financial sector) privatisations and security market reforms
  Information on international capital flows has been used from Lane and
  Milesi-Ferretti (2006)
       Importance of internationally traded assets and liabilities, such as foreign direct
       investment, portfolio equity and debt flows, and financial derivatives
  Macro indicators come from the OECD Economic Outlook database and the
  OECD Main Economic Indicators (vacancies, share prices)
    E. Ernst (ILO)                    GET presentation                 Frankfurt, 2012   12 / 26
Finance and jobs   Data and methodology



Estimation methodology I

Step-by-step estimation

      Step 1: Identify base-line equations
            Macro variables to affect unemployment flows
            Reduced-form panel estimates
            GMM used to control for endogeneity
            Results published in Ernst (2011)



      Step 2: Identify relevant financial variables
            Use baseline specifications and add financial market variables
            Separately for financial development and regulation
            Identify preferred specification


      E. Ernst (ILO)                  GET presentation                 Frankfurt, 2012   13 / 26
Finance and jobs   Data and methodology



Estimation methodology II


    Step 3: Estimate macro model
          Introduce macro-economic closure: Okun’s law
          Introduce endogenous policy rules
          Estimate using GMM


    Step 4: Design reform scenarios
          Develop reform scenarios
          Take into account feedback loops from financial community
          Analyse impact on employment growth




    E. Ernst (ILO)                 GET presentation                 Frankfurt, 2012   14 / 26
Finance and jobs      Financial development and unemployment flows: Evidence



Financial determinants of outflows
                                                    Dependent variable: Unemployment outflows
                                                    (1)         (2)         (3)        (4)         (5)
               Unemployment outflows           0.750***    0.847***    0.646***   0.638***    0.810***
               (lagged)                        (3.6e-2)    (3.0e-2)    (4.3e-2)   (4.0e-2)    (3.3e-2)
               Employment rate                    0.517       0.065       0.700   0.969**
               (lagged)                        (1.2e-1)    (1.1e-1)    (9.1e-2)   (1.1e-1)
               Output gap                    1.8e-2***   1.9e-2***   2.6e-2***   2.2e-2**    1.6e-2**
                                               (7.0e-3)    (7.0e-3)    (7.0e-3)   (6.0e-3)    (7.0e-3)
               User cost of capital          -1.4e-2** -1.6e-2*** -1.7e-2***    -1.5e-2**   -1.6e-2**
                                               (7.0e-3)    (7.0e-3)    (6.0e-3)   (6.0e-3)    (7.0e-3)
               Wage-interest rate           -9.1e-2*** -8.6e-2*** -8.7e-2*** -8.3e-2*** -1.1e-1***
               ratio                           (3.1e-2)    (3.2e-2)    (3.3e-2)   (2.8e-2)    (3.7e-2)
               Real share price growth       1.3e-1***    1.2e-1**   1.3e-1***  1.4e-1***   1.4e-1***
                                               (4.8e-2)    (5.2e-2)    (4.7e-2)   (4.5e-2)    (5.5e-2)
               Gross fixed capital             2.473***      1.516*     1.992**   2.872***        1.540
               investment                      (8.8e-1)    (9.1e-1)    (8.8e-1)   (8.2e-1)    (9.8e-1)
               Real household disposable      2.206***    2.435***    2.132***   2.012***    2.510***
               income growth                   (6.2e-1)    (6.6e-1)    (6.1e-1)   (5.8e-1)    (6.9e-1)
               Financial market               0.131***                                       0.127***
               development                     (3.9e-2)                                       (3.4e-2)
               Banking sector                            -0.127***                           -0.094**
               leverage                                    (3.6e-2)                           (3.7e-2)
               International financial                                -0.001***             -2.9e-4***
               openness (lagged)                                        (0.000)               (1.1e-4)
               Real growth in liquid                                             0.459***     0.398**
               liabilities                                                        (1.4e-1)    (1.6e-1)
               Observations                         191         192         179       190          176
               Number of countries                    8           8           8          8           8

               Note: All estimates performed using Arellano-Bond System GMM estimator. Standard
               errors in parentheses. The number of asterisks indicate the statistical significance level
               *** p<0.01, ** p<0.05, * p<0.1

    E. Ernst (ILO)                                 GET presentation                                        Frankfurt, 2012   15 / 26
Finance and jobs   Financial development and unemployment flows: Evidence



Financial determinants of inflows
                                         Dependent variable: Unemployment inflows
                                     (1)        (2)          (3)        (4)        (5)
       Unemployment inflows       0.965***    0.966***    0.958***   0.962***   0.956***
       (lagged)                   (1.0e-2)    (1.0e-2)    (1.1e-2)   (1.0e-2)   (1.1e-2)
       Output gap               -2.9e-2*** -2.8e-2*** -2.7e-2*** -2.1e-2*** -2.4e-2***
                                  (5.0e-3)    (5.0e-3)    (5.0e-3)   (5.0e-3)   (5.0e-3)
       TFP growth                2.8e-1***   2.8e-1***   3.1e-1***  3.2e-1***  2.7e-1***
                                  (5.2e-2)    (5.3e-2)    (5.5e-2)   (5.3e-2)   (5.6e-2)
       Labour force growth        1.179**     1.146**     1.238**   1.626***   2.170***
       (lagged)                   (5.0e-1)    (5.0e-1)    (5.6e-1)   (5.2e-1)   (5.8e-1)
       User cost of capital      6.0e-3**    6.0e-3**     5.0e-3*    5.0e-3*    7.0e-3**
       (lagged)                   (3.0e-3)    (3.0e-3)    (3.0e-3)   (3.0e-3)   (3.0e-3)
       Financial market           3.3e-2**                                     4.8e-2**
       development                (1.5e-3)                                      (2.0e-3)
       Banking sector                         3.2e-2*                          8.4e-2***
       leverage                               (1.8e-2)                          (2.2e-2)
       International                                     -1.4e-4**            -2.6e-4***
       financial openness                                  (6.9e-5)              (8.0e-5)
       Real credit                                                 -2.3e-1*** -2.6e-1***
       growth                                                        (5.5e-2)   (6.0e-3)
       Observations                 304         305         273        303         270
       Number of countries           12          12          12         12          12

       Note: All estimates performed using Arellano-Bond System GMM estimator. Standard
       errors in parentheses. The number of asterisks indicate the statistical significance level
       *** p<0.01, ** p<0.05, * p<0.1
    E. Ernst (ILO)                         GET presentation                           Frankfurt, 2012   16 / 26
Finance and jobs       Financial reguation and unemployment flows: Evidence



Financial regulation and unemployment flows I
                                                            Dependent    variable: Unemployment outflows
                                                                (1)           (2)         (3)         (4)
               Unemployment outflows                         0.857***      0.860***    0.823***     0.886***
               (lagged)                                      (0.0273)      (0.0248)    (0.0291)    (0.0288)
               Financial derivatives liabilities            -2.851***     -2.532***   -3.238*** -2.736***
               (in % of GDP, lagged)                          (0.711)       (0.634)     (0.659)     (0.751)
               Removing directed credit                                   0.0536**
               provisions (lagged)                                         (0.0219)
               Loosening of interest rate controls                         -0.0431*
               (lagged)                                                    (0.0251)
               Lifting of entry barriers                                 -0.0417***
               (lagged)                                                    (0.0159)
               Bank privatization                                           0.0228
               (lagged)                                                    (0.0165)
               Deregulation of international capital flows                   0.0685    0.174***
               (lagged)                                                    (0.0455)    (0.0530)
               Capital account openness                      0.0350**                               0.0220
               (lagged)                                       (0.0156)                             (0.0170)
               Securities markets deregulation               0.123***     0.116***    0.135***     0.135***
               (lagged)                                       (0.0345)     (0.0398)    (0.0358)    (0.0383)
               Prudential regulation of banks                0.0376*** 0.0348*** 0.0298*** 0.0265**
               (lagged)                                      (0.00911)     (0.0119)    (0.0108)    (0.0127)
               Banking sector distance to default                                     0.00626*
                                                                                      (0.00323)
               Financial stress index                                                             -0.0131**
               (lagged)                                                                           (0.00654)
               Observations                                      145          152         149         139
               Number of countries                                8            8           8           7
                  Note: All estimates performed using Arellano-Bond System GMM estimator contain a
                  (significant) constant. Standard errors in parentheses. The number of asterisks indicate
                  the statistical significance level *** p<0.01, ** p<0.05, * p<0.1


    E. Ernst (ILO)                                  GET presentation                                   Frankfurt, 2012   17 / 26
Finance and jobs       Financial reguation and unemployment flows: Evidence



Financial regulation and unemployment flows II
                                                        Dependent variable: Unemployment inflows
                                                         (1)            (2)          (3)            (4)
                Unemployment inflows                  0.939***      0.936***      0.933***       0.943***
                (lagged)                              (0.0184)      (0.0196)      (0.0199)       (0.0203)
                Removing directed credit                           0.0308**
                provisions (lagged)                                 (0.0121)
                Financial derivatives liabilities       0.194        -0.0601        0.197          0.236
                (in % of GDP, lagged)                  (0.406)       (0.439)       (0.394)        (0.423)
                Loosening of interest rate controls                  -0.0199
                (lagged)                                            (0.0138)
                Lifting of entry barriers                           -0.00659
                (lagged)                                            (0.0108)
                Bank privatization                                0.0244***
                (lagged)                                           (0.00850)
                Deregulation of international                         0.0169
                capital flows (lagged)                               (0.0283)
                Capital account openness            -0.0530*** -0.0629*** -0.0579*** -0.0567***
                (lagged)                             (0.00939)      (0.0115)     (0.00926)       (0.0107)
                Securities markets deregulation      0.0546***     0.0467**     0.0659***       0.0768***
                (lagged)                              (0.0152)      (0.0222)      (0.0155)       (0.0258)
                Prudential regulation of banks       -0.0123** -0.0218*** -0.0116**              -0.0119*
                (lagged)                             (0.00547)     (0.00730)     (0.00589)      (0.00646)
                Change in financial stress index                                 0.00656**
                (lagged)                                                         (0.00258)
                Change in banks’ distance                                                       -0.00378*
                to default (lagged)                                                             (0.00228)
                Observations                             211            211          192            192
                Number of countries                       12            12           10             12
                 Note: All estimates performed using Arellano-Bond System GMM estimator. Standard
                 errors in parentheses. The number of asterisks indicate the statistical significance level
                 *** p<0.01, ** p<0.05, * p<0.1


    E. Ernst (ILO)                                GET presentation                                      Frankfurt, 2012   18 / 26
Finance and jobs   Financial reguation and unemployment flows: Evidence



A first summary


Financial market developments and unemployment flows
    Financial market development raises labour market turbulence by increasing
    both unemployment out- and inflows.
    Credit growth promotes employment growth unambiguously by decreasing
    inflows and raising outflows.
    Banking sector leverage depresses labour market dynamics.
    International openness lowers labour market turnover.

Financial market regulation
    Prudential regulation of banks strengthen labour market dynamics.
    Deregulation of securities market increase labour market turnover.
    Ambiguous effects of credit controls.



      E. Ernst (ILO)                   GET presentation                           Frankfurt, 2012      19 / 26
Reform scenarios and employment dynamics   A macro-model to assess employment effects of financial reforms



Setting up the macro-model
  Labour market flows and matching:

  OUTt     = αOUT + β11 OUTt −1 + β12 INt + β13 XtJobCreation
     INt   = αIN + β21 INt −1 + β22 OUTt + β23 XtJobDestruction + β24 XtLabourForce
    ETt    = αET + β31 OUTt − β32 INt

  Okun’s law:

  Gapt = −δ1 INt −1 +δ2 OUTt −1 +δ3 INVt −1 +δ4 GovConst −1 −δ5 Taxt −1 +δ6 ∆NetExportst −1

  Philipps curve:

                       πt = γ b πt −1 + γ f E πt+1 + Gapt −1 + TOTt −1

  Taylor rule:

     itm = (1 − ϕ) itm 1 + ϕ [b1 E πt+1 + b2 Gapt + b3 (GovConst −1 − Taxest −1 )]
                     −

  Investment dynamics:

  INVt = ∆RSharet −1 + Rtl −1 + ∆ETt −1 + GovInvt −1 − GovConst −1 + ∆Prodt −1


      E. Ernst (ILO)                          GET presentation                          Frankfurt, 2012     20 / 26
Reform scenarios and employment dynamics   Financial reform scenarios



Reforms are not being implemented in isolation

   Reform debates in different countries and at different levels
        Banking sector reforms (e.g. Basel III)
        Reforms of derivative markets (e.g. central clearing houses)
        International reforms (e.g. tax on international transactions, capital controls)
   Financial market problems are multi-faceted
        Credit growth and leverage has been too high
        Systemic interconnections have been too frequent
        Lack of transparency has prevented better appreciation of risks by investors
   Different actors pursue different political agendas
        Policy makers care about access to funds and economic stability
        Workers care about job stability and wage increases
        Financial investors care about diversification and investment opportunities
        Managers care about empire-building and earnings growth
        Political compromises involve multi-dimensional agendas to satisfy all four
        actors


     E. Ernst (ILO)                         GET presentation                       Frankfurt, 2012   21 / 26
Reform scenarios and employment dynamics   Financial reform scenarios



What shapes financial market regulation?




    E. Ernst (ILO)                         GET presentation                       Frankfurt, 2012   22 / 26
Reform scenarios and employment dynamics   Financial reform scenarios



Four broad reform scenarios emerge...
 1   Business-As-Usual (BAU): No or ineffective reforms
         No (major) changes in financial market regulation and continuous high market
         volatility
         Profit sharing between CEOs and financial investors; pressure on wages and
         further increase in inequality
 2   Brakes on (financial) globalization
         Managed international flows but no domestic reforms
         Less international volatility but few(er) possibilities for diversification
         Moderate improvements in wage developments and inequalities
 3   A new compromise: Domestic reforms with open international capital
     markets
         Substitution of domestic by international financial liquidity
         Stonger pressure by international financiers for favourable regulation
 4   Full-scale regulation: Both international and domestic (re-)regulation
         Reduced international and domestic volatility at the expense of higher user
         cost of capital
         Profit sharing at the firm level between workers and managers and improved
         wage-productivity linkage
         Less reliance on public debt but larger role of the state (at least in the form of
         higher taxes)
        E. Ernst (ILO)                         GET presentation                       Frankfurt, 2012   23 / 26
Reform scenarios and employment dynamics   Financial reform scenarios



...and their expected macro consequences

 XXX                International
        XXX
                XXX capital flows            Unreformed                       Tightened Regulation
  Domestic         XXX
  financial markets          XX  X
                                              Scenario I :                        Scenario III :
                                        Permanent increase in            Moderate reduction in financial
                                            financial stress                           stress
                                     Return to highly value shares      Moderate reduction or stable share
           Unreformed
                                     Continued export and import                      prices
                                                growth                  Further export and import growth
                                       High international capital       Moderate increase in international
                                                 flows                             capital flows
                                             Scenario II :                         Scenario IV :
                                        Moderate increase in             Permanent reduction in financial
                                            financial stress                            stress
         Tightened
                                          Stable share prices                 Lower real share prices
         regulation
                                         Slower trade growth               Slower growth of world trade
                                     Reduced international capital       Reduction in international capital
                                                 flows                                  flows




      E. Ernst (ILO)                         GET presentation                           Frankfurt, 2012       24 / 26
Reform scenarios and employment dynamics                 Financial reform scenarios



What happens to jobs?


                            2.5
            Annual employment growth

                                 2.0
                    (in percent)
                 1.0        1.5
                            0.5
                            0.0




                                       Baseline       International          Domestic     Fully coordinated
                                       scenario       reforms only         reforms only        reforms

                                           After 1 year               After 3 years             After 5 years

    Note: The chart compares employment growh rates of different reform scenarios
    with the baseline. The bars represent differences in annual employment growth
    rates in percentage points.

    E. Ernst (ILO)                                        GET presentation                             Frankfurt, 2012   25 / 26
Concluding remarks



Lessons learned and outlook



What have we learned so far?
    Financial markets have significant effects on labour dynamics.
    This holds for both financial market development and regulation.
    Reform scenarios yield substantially differences in employment growth.

Avenues for future research
    Derive financial market interactions from first principles
    Introduce different forms of financial frictions
    Specify the political economy interactions




      E. Ernst (ILO)                     GET presentation      Frankfurt, 2012   26 / 26

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Financial regulation and employment growth

  • 1. Financial market regulation and job creation Insights from the recent ILO Global Employment Trends Report Ekkehard Ernst1 1 Employment Trends Unit International Labour Organization Geneva ernste@ilo.org http://ekkehard.ernst.free.fr ECB Feb 10th, 2012 E. Ernst (ILO) GET presentation Frankfurt, 2012 1 / 26
  • 2. Overview of the GET report What is the GET? The ILO Global Employment Trends Report ILO’s annual flagship study. Discusses global and regional employment trends. Medium-term projections on the basis of consensus GDP forecasts (up to 2016). Analyses of particular key macro and policy developments. This year: Financial market crisis and its consequences. Available at: http://www.ilo.org/get E. Ernst (ILO) GET presentation Frankfurt, 2012 2 / 26
  • 3. Overview of the GET report Key messages Key messages from the GET report Global unemployment has increased by 27 million since the start of the crisis could reach up to 210 million next year will only gradually decline by 2016 Working poverty 1 in 3 workers is either poor or unemployed Declining trend in working poverty has been stopped by the crisis Global investment An increase by 2 pp could absorb global unemployment Corresponds to $1200 billion. E. Ernst (ILO) GET presentation Frankfurt, 2012 3 / 26
  • 4. Overview of the GET report Motivation of today’s talk Investment is key for employment recovery 220 7.0 Unemployment (in million) 210 Unemployment rate (in %) 6.5 200 6.0 190 180 5.5 170 5.0 160 150 4.5 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 Total unemployment Total unemployment − downside scenario Unemployment rate Unemployment rate − downside scenario Unemployment rate − Unemployment rate − upside scenario boosting investment E. Ernst (ILO) GET presentation Frankfurt, 2012 4 / 26
  • 5. Overview of the GET report Motivation of today’s talk Financial market returns and investment 4.0 2010 2006 2007 Annual average productivity growth 2000 2004 3.0 2005 2011 2.0 2003 (in percent) 2008 2002 1.0 2001 0.0 −1.0 2009 −2.0 −1.0 0.0 1.0 Changes in investment shares (in percentage points) E. Ernst (ILO) GET presentation Frankfurt, 2012 5 / 26
  • 6. Financial markets and unemployment flows Research strategy How do financial markets affect jobs? E. Ernst (ILO) GET presentation Frankfurt, 2012 6 / 26
  • 7. Financial markets and unemployment flows What drives unemployment dynamics? An overview of the model flows I Decomposing unemployment dynamics Ut = Lt − ETt = INt − OUTt Labour force growth Lt = α3 + β31 Lt −1 + β32 ut −1 + β33 Taxt Employment growth ETt = JobCreationt − JobDestructiont E. Ernst (ILO) GET presentation Frankfurt, 2012 7 / 26
  • 8. Financial markets and unemployment flows What drives unemployment dynamics? An overview of the model flows II Job creation JobCreationt = β11 ETt −1 + β12 wt + β13 ADt + β14 Ut + β15 Vt + β16 Financet −1 Job destruction JobDestructiont = β21 TFPt +β22 Financet +β23 εt +β24 IMPt +β25 wt +β26 ADt Wage determination: wt = α4 + β41 Kt + β42 CBt + β43 ut −1 + β44 Taxt E. Ernst (ILO) GET presentation Frankfurt, 2012 8 / 26
  • 9. Financial markets and unemployment flows What drives unemployment dynamics? Putting the pieces together Substituting the flow equations: OUTt = JobCreationt INt = JobDestructiont + ∆Lt −1 Hence: OUTt = β11 OUTt −1 + β12 INt + β13 XtJobCreation + β14 ut −1 + β15 Financet −1 INt = β21 INt −1 + β22 OUTt + β23 XtJobDestruction + β24 Lt −1 + β25 Financet where: Share prices Interest rates Finance = Financial development Market volatility E. Ernst (ILO) GET presentation Frankfurt, 2012 9 / 26
  • 10. Financial markets and unemployment flows Financial market development and unemployment flows Finance and unemployment flows: Hypotheses Mount-Pelerin-Hypothesis Financial development positive for labour dynamics Reduces unemployment inflows Increases unemployment outflows Schumpeter-Hypothesis Financial development leads to more turnover Increases both U inflows and outflows Attac-Hypothesis Financial development comes at the expense of the real economy Destroys jobs without creating new somewhere else E. Ernst (ILO) GET presentation Frankfurt, 2012 10 / 26
  • 11. Financial markets and unemployment flows Financial market regulation and unemployment flows Financial market regulation Regulation of international capital flows e.g.: FTTs, capital controls reduce availability of foreign capital lower financial market competition but also reduce volatility Banking sector regulation e.g. macro-prudential regulation reduces credit growth ambiguous effect on interest rates, expected to reduce volatility Regulation of (securitized) financial products e.g. CCPs reduce diversity and availability of (securitized) products ambiguous effects on volatility E. Ernst (ILO) GET presentation Frankfurt, 2012 11 / 26
  • 12. Finance and jobs Data and methodology A word on the data Unemployment flows come from Elsby et al. (2008) Constructed on the basis of information regarding unemployment duration at different duration lengths Information on financial market development is based on updated data by Torsten Beck Size of financial sector assets and liabilities (banking, bond markets, stock markes) Financial sector reforms has been provided by Abiad et al. (2008) Information on interest rate ceilings, credit growth restrictions, entry barriers for banks, (financial sector) privatisations and security market reforms Information on international capital flows has been used from Lane and Milesi-Ferretti (2006) Importance of internationally traded assets and liabilities, such as foreign direct investment, portfolio equity and debt flows, and financial derivatives Macro indicators come from the OECD Economic Outlook database and the OECD Main Economic Indicators (vacancies, share prices) E. Ernst (ILO) GET presentation Frankfurt, 2012 12 / 26
  • 13. Finance and jobs Data and methodology Estimation methodology I Step-by-step estimation Step 1: Identify base-line equations Macro variables to affect unemployment flows Reduced-form panel estimates GMM used to control for endogeneity Results published in Ernst (2011) Step 2: Identify relevant financial variables Use baseline specifications and add financial market variables Separately for financial development and regulation Identify preferred specification E. Ernst (ILO) GET presentation Frankfurt, 2012 13 / 26
  • 14. Finance and jobs Data and methodology Estimation methodology II Step 3: Estimate macro model Introduce macro-economic closure: Okun’s law Introduce endogenous policy rules Estimate using GMM Step 4: Design reform scenarios Develop reform scenarios Take into account feedback loops from financial community Analyse impact on employment growth E. Ernst (ILO) GET presentation Frankfurt, 2012 14 / 26
  • 15. Finance and jobs Financial development and unemployment flows: Evidence Financial determinants of outflows Dependent variable: Unemployment outflows (1) (2) (3) (4) (5) Unemployment outflows 0.750*** 0.847*** 0.646*** 0.638*** 0.810*** (lagged) (3.6e-2) (3.0e-2) (4.3e-2) (4.0e-2) (3.3e-2) Employment rate 0.517 0.065 0.700 0.969** (lagged) (1.2e-1) (1.1e-1) (9.1e-2) (1.1e-1) Output gap 1.8e-2*** 1.9e-2*** 2.6e-2*** 2.2e-2** 1.6e-2** (7.0e-3) (7.0e-3) (7.0e-3) (6.0e-3) (7.0e-3) User cost of capital -1.4e-2** -1.6e-2*** -1.7e-2*** -1.5e-2** -1.6e-2** (7.0e-3) (7.0e-3) (6.0e-3) (6.0e-3) (7.0e-3) Wage-interest rate -9.1e-2*** -8.6e-2*** -8.7e-2*** -8.3e-2*** -1.1e-1*** ratio (3.1e-2) (3.2e-2) (3.3e-2) (2.8e-2) (3.7e-2) Real share price growth 1.3e-1*** 1.2e-1** 1.3e-1*** 1.4e-1*** 1.4e-1*** (4.8e-2) (5.2e-2) (4.7e-2) (4.5e-2) (5.5e-2) Gross fixed capital 2.473*** 1.516* 1.992** 2.872*** 1.540 investment (8.8e-1) (9.1e-1) (8.8e-1) (8.2e-1) (9.8e-1) Real household disposable 2.206*** 2.435*** 2.132*** 2.012*** 2.510*** income growth (6.2e-1) (6.6e-1) (6.1e-1) (5.8e-1) (6.9e-1) Financial market 0.131*** 0.127*** development (3.9e-2) (3.4e-2) Banking sector -0.127*** -0.094** leverage (3.6e-2) (3.7e-2) International financial -0.001*** -2.9e-4*** openness (lagged) (0.000) (1.1e-4) Real growth in liquid 0.459*** 0.398** liabilities (1.4e-1) (1.6e-1) Observations 191 192 179 190 176 Number of countries 8 8 8 8 8 Note: All estimates performed using Arellano-Bond System GMM estimator. Standard errors in parentheses. The number of asterisks indicate the statistical significance level *** p<0.01, ** p<0.05, * p<0.1 E. Ernst (ILO) GET presentation Frankfurt, 2012 15 / 26
  • 16. Finance and jobs Financial development and unemployment flows: Evidence Financial determinants of inflows Dependent variable: Unemployment inflows (1) (2) (3) (4) (5) Unemployment inflows 0.965*** 0.966*** 0.958*** 0.962*** 0.956*** (lagged) (1.0e-2) (1.0e-2) (1.1e-2) (1.0e-2) (1.1e-2) Output gap -2.9e-2*** -2.8e-2*** -2.7e-2*** -2.1e-2*** -2.4e-2*** (5.0e-3) (5.0e-3) (5.0e-3) (5.0e-3) (5.0e-3) TFP growth 2.8e-1*** 2.8e-1*** 3.1e-1*** 3.2e-1*** 2.7e-1*** (5.2e-2) (5.3e-2) (5.5e-2) (5.3e-2) (5.6e-2) Labour force growth 1.179** 1.146** 1.238** 1.626*** 2.170*** (lagged) (5.0e-1) (5.0e-1) (5.6e-1) (5.2e-1) (5.8e-1) User cost of capital 6.0e-3** 6.0e-3** 5.0e-3* 5.0e-3* 7.0e-3** (lagged) (3.0e-3) (3.0e-3) (3.0e-3) (3.0e-3) (3.0e-3) Financial market 3.3e-2** 4.8e-2** development (1.5e-3) (2.0e-3) Banking sector 3.2e-2* 8.4e-2*** leverage (1.8e-2) (2.2e-2) International -1.4e-4** -2.6e-4*** financial openness (6.9e-5) (8.0e-5) Real credit -2.3e-1*** -2.6e-1*** growth (5.5e-2) (6.0e-3) Observations 304 305 273 303 270 Number of countries 12 12 12 12 12 Note: All estimates performed using Arellano-Bond System GMM estimator. Standard errors in parentheses. The number of asterisks indicate the statistical significance level *** p<0.01, ** p<0.05, * p<0.1 E. Ernst (ILO) GET presentation Frankfurt, 2012 16 / 26
  • 17. Finance and jobs Financial reguation and unemployment flows: Evidence Financial regulation and unemployment flows I Dependent variable: Unemployment outflows (1) (2) (3) (4) Unemployment outflows 0.857*** 0.860*** 0.823*** 0.886*** (lagged) (0.0273) (0.0248) (0.0291) (0.0288) Financial derivatives liabilities -2.851*** -2.532*** -3.238*** -2.736*** (in % of GDP, lagged) (0.711) (0.634) (0.659) (0.751) Removing directed credit 0.0536** provisions (lagged) (0.0219) Loosening of interest rate controls -0.0431* (lagged) (0.0251) Lifting of entry barriers -0.0417*** (lagged) (0.0159) Bank privatization 0.0228 (lagged) (0.0165) Deregulation of international capital flows 0.0685 0.174*** (lagged) (0.0455) (0.0530) Capital account openness 0.0350** 0.0220 (lagged) (0.0156) (0.0170) Securities markets deregulation 0.123*** 0.116*** 0.135*** 0.135*** (lagged) (0.0345) (0.0398) (0.0358) (0.0383) Prudential regulation of banks 0.0376*** 0.0348*** 0.0298*** 0.0265** (lagged) (0.00911) (0.0119) (0.0108) (0.0127) Banking sector distance to default 0.00626* (0.00323) Financial stress index -0.0131** (lagged) (0.00654) Observations 145 152 149 139 Number of countries 8 8 8 7 Note: All estimates performed using Arellano-Bond System GMM estimator contain a (significant) constant. Standard errors in parentheses. The number of asterisks indicate the statistical significance level *** p<0.01, ** p<0.05, * p<0.1 E. Ernst (ILO) GET presentation Frankfurt, 2012 17 / 26
  • 18. Finance and jobs Financial reguation and unemployment flows: Evidence Financial regulation and unemployment flows II Dependent variable: Unemployment inflows (1) (2) (3) (4) Unemployment inflows 0.939*** 0.936*** 0.933*** 0.943*** (lagged) (0.0184) (0.0196) (0.0199) (0.0203) Removing directed credit 0.0308** provisions (lagged) (0.0121) Financial derivatives liabilities 0.194 -0.0601 0.197 0.236 (in % of GDP, lagged) (0.406) (0.439) (0.394) (0.423) Loosening of interest rate controls -0.0199 (lagged) (0.0138) Lifting of entry barriers -0.00659 (lagged) (0.0108) Bank privatization 0.0244*** (lagged) (0.00850) Deregulation of international 0.0169 capital flows (lagged) (0.0283) Capital account openness -0.0530*** -0.0629*** -0.0579*** -0.0567*** (lagged) (0.00939) (0.0115) (0.00926) (0.0107) Securities markets deregulation 0.0546*** 0.0467** 0.0659*** 0.0768*** (lagged) (0.0152) (0.0222) (0.0155) (0.0258) Prudential regulation of banks -0.0123** -0.0218*** -0.0116** -0.0119* (lagged) (0.00547) (0.00730) (0.00589) (0.00646) Change in financial stress index 0.00656** (lagged) (0.00258) Change in banks’ distance -0.00378* to default (lagged) (0.00228) Observations 211 211 192 192 Number of countries 12 12 10 12 Note: All estimates performed using Arellano-Bond System GMM estimator. Standard errors in parentheses. The number of asterisks indicate the statistical significance level *** p<0.01, ** p<0.05, * p<0.1 E. Ernst (ILO) GET presentation Frankfurt, 2012 18 / 26
  • 19. Finance and jobs Financial reguation and unemployment flows: Evidence A first summary Financial market developments and unemployment flows Financial market development raises labour market turbulence by increasing both unemployment out- and inflows. Credit growth promotes employment growth unambiguously by decreasing inflows and raising outflows. Banking sector leverage depresses labour market dynamics. International openness lowers labour market turnover. Financial market regulation Prudential regulation of banks strengthen labour market dynamics. Deregulation of securities market increase labour market turnover. Ambiguous effects of credit controls. E. Ernst (ILO) GET presentation Frankfurt, 2012 19 / 26
  • 20. Reform scenarios and employment dynamics A macro-model to assess employment effects of financial reforms Setting up the macro-model Labour market flows and matching: OUTt = αOUT + β11 OUTt −1 + β12 INt + β13 XtJobCreation INt = αIN + β21 INt −1 + β22 OUTt + β23 XtJobDestruction + β24 XtLabourForce ETt = αET + β31 OUTt − β32 INt Okun’s law: Gapt = −δ1 INt −1 +δ2 OUTt −1 +δ3 INVt −1 +δ4 GovConst −1 −δ5 Taxt −1 +δ6 ∆NetExportst −1 Philipps curve: πt = γ b πt −1 + γ f E πt+1 + Gapt −1 + TOTt −1 Taylor rule: itm = (1 − ϕ) itm 1 + ϕ [b1 E πt+1 + b2 Gapt + b3 (GovConst −1 − Taxest −1 )] − Investment dynamics: INVt = ∆RSharet −1 + Rtl −1 + ∆ETt −1 + GovInvt −1 − GovConst −1 + ∆Prodt −1 E. Ernst (ILO) GET presentation Frankfurt, 2012 20 / 26
  • 21. Reform scenarios and employment dynamics Financial reform scenarios Reforms are not being implemented in isolation Reform debates in different countries and at different levels Banking sector reforms (e.g. Basel III) Reforms of derivative markets (e.g. central clearing houses) International reforms (e.g. tax on international transactions, capital controls) Financial market problems are multi-faceted Credit growth and leverage has been too high Systemic interconnections have been too frequent Lack of transparency has prevented better appreciation of risks by investors Different actors pursue different political agendas Policy makers care about access to funds and economic stability Workers care about job stability and wage increases Financial investors care about diversification and investment opportunities Managers care about empire-building and earnings growth Political compromises involve multi-dimensional agendas to satisfy all four actors E. Ernst (ILO) GET presentation Frankfurt, 2012 21 / 26
  • 22. Reform scenarios and employment dynamics Financial reform scenarios What shapes financial market regulation? E. Ernst (ILO) GET presentation Frankfurt, 2012 22 / 26
  • 23. Reform scenarios and employment dynamics Financial reform scenarios Four broad reform scenarios emerge... 1 Business-As-Usual (BAU): No or ineffective reforms No (major) changes in financial market regulation and continuous high market volatility Profit sharing between CEOs and financial investors; pressure on wages and further increase in inequality 2 Brakes on (financial) globalization Managed international flows but no domestic reforms Less international volatility but few(er) possibilities for diversification Moderate improvements in wage developments and inequalities 3 A new compromise: Domestic reforms with open international capital markets Substitution of domestic by international financial liquidity Stonger pressure by international financiers for favourable regulation 4 Full-scale regulation: Both international and domestic (re-)regulation Reduced international and domestic volatility at the expense of higher user cost of capital Profit sharing at the firm level between workers and managers and improved wage-productivity linkage Less reliance on public debt but larger role of the state (at least in the form of higher taxes) E. Ernst (ILO) GET presentation Frankfurt, 2012 23 / 26
  • 24. Reform scenarios and employment dynamics Financial reform scenarios ...and their expected macro consequences XXX International XXX XXX capital flows Unreformed Tightened Regulation Domestic XXX financial markets XX X Scenario I : Scenario III : Permanent increase in Moderate reduction in financial financial stress stress Return to highly value shares Moderate reduction or stable share Unreformed Continued export and import prices growth Further export and import growth High international capital Moderate increase in international flows capital flows Scenario II : Scenario IV : Moderate increase in Permanent reduction in financial financial stress stress Tightened Stable share prices Lower real share prices regulation Slower trade growth Slower growth of world trade Reduced international capital Reduction in international capital flows flows E. Ernst (ILO) GET presentation Frankfurt, 2012 24 / 26
  • 25. Reform scenarios and employment dynamics Financial reform scenarios What happens to jobs? 2.5 Annual employment growth 2.0 (in percent) 1.0 1.5 0.5 0.0 Baseline International Domestic Fully coordinated scenario reforms only reforms only reforms After 1 year After 3 years After 5 years Note: The chart compares employment growh rates of different reform scenarios with the baseline. The bars represent differences in annual employment growth rates in percentage points. E. Ernst (ILO) GET presentation Frankfurt, 2012 25 / 26
  • 26. Concluding remarks Lessons learned and outlook What have we learned so far? Financial markets have significant effects on labour dynamics. This holds for both financial market development and regulation. Reform scenarios yield substantially differences in employment growth. Avenues for future research Derive financial market interactions from first principles Introduce different forms of financial frictions Specify the political economy interactions E. Ernst (ILO) GET presentation Frankfurt, 2012 26 / 26