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Bank of Finland
Persistent Slowdowns,
Expectations and
Macroeconomic Policy
Lecture at the City University of Hong Kong
121.4.2016
Seppo Honkapohja
Persistent Slowdowns, Expectations
and Macroeconomic Policy
by
Seppo Honkapohja, Bank of Finland*
Lecture at the City University of Hong Kong, April 21, 2016
*Views expressed do not necessarily reflect the views of the Bank of Finland.
I. Introduction
• The great recession of 2008-9 in western market economies and Japan’s
crisis in the 2nd half of 1990’s resulted in protracted slowdowns and very
low interest rates, often called as the “zero lower bound” (ZLB).
• These recessions and the ZLB can be approached in different ways. I start
with several empirical figures.
- Consider the real economy developments in terms of GDP per capita.
44,000
45,000
46,000
47,000
48,000
49,000
50,000
51,000
52,000
01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
GDP per capita US
Figure 1a: US real GDP per capita in dollars
3,700,000
3,800,000
3,900,000
4,000,000
4,100,000
4,200,000
4,300,000
01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
GDP per capita Japan
Figure 1b: Japan real GDP per capita in yen
26,500
27,000
27,500
28,000
28,500
29,000
29,500
30,000
01 02 03 04 05 06 07 08 09 10 11 12 13 14 15
GDP per capita euro area
Figure 1c: Euro area real GDP per capita in euros
• The Great Recession seems have caused a persistent slowdown.
- First, a major decline in GDP per capita and subsequently a slowdown in
economic growth.
- Japan also had a decline of 3.5% from 1997Q1 to 1999Q1 (not shown in
the figure) around which ZLB was reached.
• These recessions were associated with financial system problems and con-
sequent responses in monetary policy.
- Financial crises are major shocks.
• Analytically, the economy may have multiple equilibria.
- This is a major observation: market economies may get persistently stuck
in low-actitivity/low-inflation situation.
• Suppose monetary policy is conducted using an interest rate rule
 = 1 + ()
where  is the gross interest rate and  is the gross inflation rate. Let
∗  1 denote a positive inflation target and  be the subjective discount
factor.
- In many standard models the Fisher equation
 = 
is in the steady state ( ), see Figure 1.
- If monetary policy is “active”, i.e. (∗)  1, then ZLB implies that
there are multiple steady states (Reifschneider & Williams 2000, Benhabib
et al 2001).
R

π/β
1
π*L
1 + f(π)
Policy rule for R
Fisher equation
Figure 2: Multiple steady states with ZLB and Taylor rule
• Next: inflation and interest rate data for Japan, the US and the Euro area.
‐0.5
0.5
1.5
2.5
3.5
4.5
-2 -1.5 -1 -0.5 0 0.5 1 1.5 2 2.5 3
Key policy rate,
monthly averages, %
Core inflation, %
USA, 1/2002 - 7/2015
Japan, 1/2002 - 10/2013
Euro area, 1/2002 - 8/2015
Monetary policy rule
Fisher equation
Figure 3: Inflation and interest rate, Japan , USA, Euro area
II. Modeling Approaches
II.1. Expectations-driven liquidity trap
• Above we have multiple steady states and other dynamic rational
expectations (RE) equilibria.
- A significant initial shock may set in motion dynamics away from the
target equilibrium.
Different approaches:
- Backward-looking models: e.g. Reifschneider & Williams 2000;
- RE models: Benhabib, Schmitt-Grohe & Uribe 2001, 2002; Mertens &
Ravn 2014 etc.
- Learning approach: Evans, Guse & Honkapohja 2008; Benhabib, Evans
& Honkapohja 2014 etc.
- Details are available in key references given at the end of the slides.
• Multiple equilibria pose methodological challenges.
• This lecture:
- Overview of modeling macro dynamics, the ZLB, and policies in the
context of multiple equilibria.
- Standard New Keynesian model is employed.
- Emphasis on imperfect knowledge and learning for expectations formation
rather than the RE approach.
• Not covered: Econometric analysis of multiple equilibria.
II. 2. Other Approaches
• A fundamental shock shifts the target RE equilibrium to face ZLB:
- E.g. shock to intertemporal preferences brings down the interest rate
associated with inflation target ∗ or
- adverse shock to financial intermediation can make real equilibrium policy
rate negative. (Fisher equation shifts down in Figure 2).
- Literature: Eggertsson & Woodford 2003, Svensson 2003, Christiano et
al 2011; Woodford 2011; Coenen et al 2012, etc.
- Recent research on financial intermediation problems and unconventional
monetary policies.
• Empirical literature with estimated DSGE and pure econometric models.
- With focus on the target REE, this methodologically straight-forward,
except for inclusion of ZLB.
III. Basic New Keynesian Model
• A model with monopolistic competition and adjustment costs.
- Consumers consume goods, supply labor and own firms that produce
goods.
- Consumers hold money and government bonds.
- Price setting is subject to adjustment costs.
- Government spends on goods and services, financing this by lump-sum
taxes and issuing bonds.
• Monetary policy is assumed to follow a global interest rate rule
 − 1 = 
³

+1
´

as above.
III.1. The infinite-horizon Phillips curve
• Assume identical expectations, log utility, point expectations and absence
of random shocks. Agents observe that  =  and  =  −  in the
past.
• Let 
+1 = 
+1. Then
 =



(1+)
 +


∞X
=1
−1
³

+
´(1+)
−
 − 1


 − ¯
−
 − 1

∞X
=1

⎛
⎝

+

+ − ¯
⎞
⎠ 
where  = ( − 1)  and  ≥ 12
III.2. The consumption function
• Consumers are assumed to be Ricardian:
- They combine the intertemporal budget constraints of the consumer and
the government, evaluated at expectations of the consumer.
- Use also the iterated Euler equation.
• This yields the “Ricardian” consumption function
 = (1 − )
⎛
⎝ −  +
∞X
=1
(
+)−1(+)
⎞
⎠ , where
+ = + − +
IV. Temporary Equilibrium and Learning
IV.1. Equilibrium conditions
• Agents form expectations of future inflation and output, denote these by

 and 
 .
• The following equations define a temporary equilibrium:
1) Aggregate demand (agents are assumed to know the interest rate rule),
2) The Phillips curve,
3) Bond dynamics,
4) Money demand,
5) Interest rate rule.
• State variables are −1, −1 and −1.
• Expectations formed using "steady-state learning" (details later).
• Focus on the case where  = ¯. This leads to the aggregate output
equation
 = 1(
  
) ≡ ¯ + (−1 − 1)(
 − ¯)
Ã


1 + (
) − 

!
• From the nonlinear Phillips curve we get
 = 2(
  
) = −1[(1(
  
) 
 )]
where ( 
 ) is from the Phillips curve above.
IV.2 Steady states
• Steady states 
 =  and 
 =  for all  :
LEMMA: There are two steady states, (∗ ∗) and ( ) with   ∗.
(i) ∗ is locally stable under learning,
(ii)  steady state is locally unstable under learning, with the local learning
dynamics taking the form of a saddle point.
V. Learning and Expectations Dynamics
• Starting point: Private agents do not have RE.
- They know their own utility and production functions.
- They know the per capita government budget constraint.
- They do not know that other agents are identical to them.
• Expectations formation: Agents estimate an econometric model and
make forecasts with the estimated model.
- Model is re-estimated and expectations are updated in later periods as
new data becomes available.
• Steady-state learning

 = 
−1 + (−1 − 
−1)

 = 
−1 + (−1 − 
−1)
where  is the “gain sequence,” and either  = −1 (“decreasing gain”
learning) or  =  for 0   ≤ 1 and  small (“constant gain” learning).
• This corresponds to computing the (possibly weighted) mean from past
data.
• In non-stochastic models agents cannot learn both the intercept and lag
structures.
• The (small gain) dynamics, i.e.  → 0 or  sufficiently small, can be
approximated by the (E-stability) differential equations


= 1( ) − 


= 2( ) − 
where  is virtual time (see e.g. Evans and Honkapohja 2001).
• Money and bonds dynamics do not directly affect 
  
 if consumers are
Ricardian.
• Global learning dynamics: Set the values  = 25, ∗ = 102,  = 099,
 = 07,  = 350,  = 21,  = 1, and  = 02.
Comments:
- We choose a high value  = 25 to clearly separate ∗ and .
-  = 21 gives 5 percent as the implied markup of prices over marginal
cost, see Basu & Fernald (1997).
- Kehoe & Midgiran (2010) find price changing frequency to be about 4.8
quarters. Then  ≈ 350.
- 
+ is assumed to revert to −1 for  ≥ . We use  = 28.
• The dynamical system is two-dimensional. = Use the phase diagram
technique.
Figure 4: Global learning dynamics — the Ricardian case.
• Main features of global learning dynamics:
- ∗ is locally stable and there is a “corridor of stability” defined by the
set of initial expectations that converge to ∗.
- Convergence to ∗ is locally cyclical.
- From initial points outside the corridor of stability the trajectory of expec-
tations is eventually led into a deflation trap in which ( ) fall steadily
over time.
• Even though the financial wealth of consumers is getting very large along a
deflationary path, Ricardian agents do not respond by sufficiently increasing
consumption. They expect offsetting higher future taxes.
VI. Policies to Avoid and/or Escape the Liq-
uidity Trap
VI.1. Monetary policy actions
• Recall Figure 3. Policy interest rates are effectively at their lower bound.
The standard monetary policy instrument cannot be used.
• Monetary policy has relied on unconventional measures:
- large scale asset purchase programs (APP) in Japan, Great Britain
and United States of America.
- ECB introduced special loan facilities to banks, specific asset purchase
programs during the sovereign debt crisis and APP since March 2015.
• Large scale asset purchase programs (APP):
- Japan had a program in the beginning of 2000’s. A new program in
2010 with extensions, latest started in 2014. Ongoing. BOJ balance sheet
about 70% of GDP (2015 summer).
- United States of America: three programs 2008-2010, 2010-2011 and
2012-2014. Federal Reserve balance sheet about 25% of GDP.
- Great Britain: a program 2009-2012. BOE balance sheet about 22% of
GDP.
- Euro area: ECB program in 2009 (covered bonds) and in 2010 (SMP).
A new program in 2014 (some private assets) and 2015 with government
and "institution" bonds. Extended in March 2016. ECB balance sheet
about 25% of GDP.
VI.2. Some theory for unconventional monetary policy
• Preceding theoretical analysis: Significant shocks can result in unstable
expectation dynamics that goes to the deflation regime. How to avoid it?
• Pigou 1943 and Patinkin 1965 argued for real-balance and wealth effects
as a stabilizing mechanism.
- With non-Ricardian consumers there is convergence back to target steady
state (Benhabib et al JEDC 2014).
- This requires an appropriate tax policy.
- Path involves wide cyclical fluctuations in inflation and output.
• Ricardian case: Under a pure Taylor rule policy above, the money stock
is determined endogenously by money demand. Bond dynamics are deter-
mined as residual and do not have a feedback effect on the real economy.
• In a flexible price economy switching to a money supply rule when infla-
tion falls below a lower threshold level is known to be effective.
- Evans & Honkapohja 2005 take a learning viewpoint.
- Benhabib et al 2002: similar results hold under RE with some careful
design.
• What happens if prices are sticky? (based on Honkapohja 2016).
• Bond purchases by the CB financed by new money change the amount of
bonds held by the households in our NK model.
- These purchases imply corresponding increases in the nominal money
stock.
- With Ricardian consumers, the effects of asset purchases can be stud-
ied as injections of new nominal money to the economy.
• Given a low threshold for inflation, the policy-maker introduces an asset
purchase program.
- assume: nominal money supply starts to grow at some constant rate
(Friedman’s rule).
+1 = (1 + )
• Question: Will the introduction of asset purchases / money growth avoid
the liquidity trap?
0.98 1.00 1.02 1.04
pe0.930
0.935
0.940
0.945
0.950
0.955
0.960
ye
Figure 5: Effectiveness of asset purchases.
• Figure 5 shows that an asset purchase program is effective, provided that
inflation has not gotten to very low level.
- The area to the right of the dashed curves would yield convergence to
the targeted steady state.
- The area to the right of the curve covers most of the domain of attraction
for a Taylor rule (except in some unlikely parts of the state space).
- Asset purchase program is not a "fool-proof" solution.
• Remark: Price-level targeting (Honkapohja and Mitra 2015a, b): under
certain conditions price level targeting with a Wicksellian interest rate rule
is a fool-proof monetary policy regime to avoid and cure the liquidity trap.
- Essential to have forward guidance which the private agents regards
fully credible.
- Similar result holds for nominal GDP targeting.
VII Fiscal Policy
VII.1. Overview
• Fiscal policy during Great Recession:
- IMF recommended stimulus measures of 2% of GDP.
- USA, China, Japan, South Korea each introduced fiscal measures.
- Australia had two stimulus programs in 2008 and 2009.
• EU introduced some stimulus and recommended 1.2% of GDP measures
to its members. National responses varied.
- Some countries (e.g. UK, Ireland, Spain) had to use major public spend-
ing because of banking crises. This limited other fiscal programs.
VII.2. Theoretical analysis
• Fiscal policy under RE
(1) Comparative dynamics:
- Effectiveness of different policies depends on whether the liquidity trap
is caused by fundamental shock or by expectations and pessimism.
- A number of studies consider the fundamental liquidity trap and locally
unique RE equilibrium.
- For example, spending multipliers are "large" while cuts in marginal taxes
are ineffective.
- A few studies consider the expectations-driven liquidity trap under RE.
Now the effects of fiscal policies can be different.
(2) Avoiding a liquidity trap by eliminating the low steady state  with
FP:
- Under RE promises or threats about “irresponsible” future policies (Krug-
man 1998, Benhabib et al 2002, Woodford 2013 etc.) to rule out .
• Fiscal policy from learning viewpoint (based on Benhabib et al JEDC 2014).
- Assume that the government uses spending  as policy instrument.
- Fiscal expansion: a temporary increase in ¯ taking the form
 =
(
¯0 for  = 0  0
¯1 for  = 0 + 1 
, so 
 =
(

 − ¯0 for  = 0  0

 − ¯1 for  = 0 + 1 
where ¯0  ¯1. The policy is announced at  = 0 and is credible.
- Assume also that
+1 = (
 
 ), with ( ) = (∗−1)
µ

∗
¶∗(∗−1)
Ã

∗
!

to reduce fluctuations.
- Efficacy of stimulus depends on the length and magnitude of the fiscal
expansion as well as the degree of pessimism in expectations.
- Assume
(0) = 0993   = 099309
(0) = 094289   = 0942892
0 = 8 and ¯0 = 0202  ¯1 = ¯ = 02. Then we have convergence to
the target steady state.
1.00 1.02 1.04 1.06 1.08 1.10
0.92
0.93
0.94
0.95
0.96
y
Figure 6: Effective fiscal stimulus
- Assume instead that (0) = 0991. Then there is divergence (shown
for inflation):
0 10 20 30 40 50
t
0.970
0.975
0.980
0.985
0.990
Figure 7: inflation divergence
= Success of a fiscal expansion depends on the state of the economy and
the amount and length of stimulus.
- See Evans, Honkapohja and Mitra (2016, forthcoming) for a systematic analy-
sis of fiscal policies as a remedy to stagnation.
- If random shocks are present one can compute probability of success for
given policy and initial conditions (Evans, Honkapohja & Mitra 2016).
• Other fiscal policies can in principle be considered. Fiscal switching rules:
ensure that 
 eventually 
  ˜  
-This kind of rule can ensure convergence to the target steady state.
VIII. Concluding Remarks
• The analysis has focused on the possibility of a persistent slowdown due
to pessimistic expectations.
- Pessimism leads to demand deficiency. This can occur without a
financial crisis.
• We looked at efficacy of monetary and fiscal policies as remedies using a
standard NK macro model.
- Unconventional monetary policy (asset purchses) is effective unless ex-
pectations have gotten very pessimistic.
- There are also effective fiscal policy remedies. Temporary increases in
government spending work, but requite “tuning” in length and magnitude.
- Sometimes possible to devise a fool-proof fiscal policy.
• In reality other phenomena have been present and there are other possible
explanations for stagnation.
- Financial crisis as an end phase to a credit cycle.
- Supply-side factors affecting potential growth: slower technological
progress (Gordon), population aging in many countries.
Key References
Benhabib J., G.W. Evans & S. Honkapohja (2014): Liquidity traps and ex-
pectations dynamics: fiscal stimulus or fiscal austerity?, Journal of Economic
Dynamics and Control, vol. 45, 220-238.
Evans, G.W., S. Honkapohja & K. Mitra (2016): Expectations, stagnation and
fiscal policy, manuscript (forthcoming soon).
Honkapohja S. (2016), Monetary policies to counter the zero interest rate: an
overview of research, Empirica (forthcoming). Also Bank of Finland Discussion
Paper nr. 18/2015.

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Persistent Slowdowns, Expectations and Macroeconomic Policy

  • 1. Bank of Finland Persistent Slowdowns, Expectations and Macroeconomic Policy Lecture at the City University of Hong Kong 121.4.2016 Seppo Honkapohja
  • 2. Persistent Slowdowns, Expectations and Macroeconomic Policy by Seppo Honkapohja, Bank of Finland* Lecture at the City University of Hong Kong, April 21, 2016 *Views expressed do not necessarily reflect the views of the Bank of Finland.
  • 3. I. Introduction • The great recession of 2008-9 in western market economies and Japan’s crisis in the 2nd half of 1990’s resulted in protracted slowdowns and very low interest rates, often called as the “zero lower bound” (ZLB). • These recessions and the ZLB can be approached in different ways. I start with several empirical figures. - Consider the real economy developments in terms of GDP per capita.
  • 4. 44,000 45,000 46,000 47,000 48,000 49,000 50,000 51,000 52,000 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 GDP per capita US Figure 1a: US real GDP per capita in dollars
  • 5. 3,700,000 3,800,000 3,900,000 4,000,000 4,100,000 4,200,000 4,300,000 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 GDP per capita Japan Figure 1b: Japan real GDP per capita in yen
  • 6. 26,500 27,000 27,500 28,000 28,500 29,000 29,500 30,000 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 GDP per capita euro area Figure 1c: Euro area real GDP per capita in euros
  • 7. • The Great Recession seems have caused a persistent slowdown. - First, a major decline in GDP per capita and subsequently a slowdown in economic growth. - Japan also had a decline of 3.5% from 1997Q1 to 1999Q1 (not shown in the figure) around which ZLB was reached. • These recessions were associated with financial system problems and con- sequent responses in monetary policy. - Financial crises are major shocks. • Analytically, the economy may have multiple equilibria. - This is a major observation: market economies may get persistently stuck in low-actitivity/low-inflation situation.
  • 8. • Suppose monetary policy is conducted using an interest rate rule  = 1 + () where  is the gross interest rate and  is the gross inflation rate. Let ∗  1 denote a positive inflation target and  be the subjective discount factor. - In many standard models the Fisher equation  =  is in the steady state ( ), see Figure 1. - If monetary policy is “active”, i.e. (∗)  1, then ZLB implies that there are multiple steady states (Reifschneider & Williams 2000, Benhabib et al 2001).
  • 9. R  π/β 1 π*L 1 + f(π) Policy rule for R Fisher equation Figure 2: Multiple steady states with ZLB and Taylor rule • Next: inflation and interest rate data for Japan, the US and the Euro area.
  • 10. ‐0.5 0.5 1.5 2.5 3.5 4.5 -2 -1.5 -1 -0.5 0 0.5 1 1.5 2 2.5 3 Key policy rate, monthly averages, % Core inflation, % USA, 1/2002 - 7/2015 Japan, 1/2002 - 10/2013 Euro area, 1/2002 - 8/2015 Monetary policy rule Fisher equation Figure 3: Inflation and interest rate, Japan , USA, Euro area
  • 11. II. Modeling Approaches II.1. Expectations-driven liquidity trap • Above we have multiple steady states and other dynamic rational expectations (RE) equilibria. - A significant initial shock may set in motion dynamics away from the target equilibrium. Different approaches: - Backward-looking models: e.g. Reifschneider & Williams 2000; - RE models: Benhabib, Schmitt-Grohe & Uribe 2001, 2002; Mertens & Ravn 2014 etc. - Learning approach: Evans, Guse & Honkapohja 2008; Benhabib, Evans & Honkapohja 2014 etc. - Details are available in key references given at the end of the slides.
  • 12. • Multiple equilibria pose methodological challenges. • This lecture: - Overview of modeling macro dynamics, the ZLB, and policies in the context of multiple equilibria. - Standard New Keynesian model is employed. - Emphasis on imperfect knowledge and learning for expectations formation rather than the RE approach. • Not covered: Econometric analysis of multiple equilibria.
  • 13. II. 2. Other Approaches • A fundamental shock shifts the target RE equilibrium to face ZLB: - E.g. shock to intertemporal preferences brings down the interest rate associated with inflation target ∗ or - adverse shock to financial intermediation can make real equilibrium policy rate negative. (Fisher equation shifts down in Figure 2). - Literature: Eggertsson & Woodford 2003, Svensson 2003, Christiano et al 2011; Woodford 2011; Coenen et al 2012, etc. - Recent research on financial intermediation problems and unconventional monetary policies. • Empirical literature with estimated DSGE and pure econometric models. - With focus on the target REE, this methodologically straight-forward, except for inclusion of ZLB.
  • 14. III. Basic New Keynesian Model • A model with monopolistic competition and adjustment costs. - Consumers consume goods, supply labor and own firms that produce goods. - Consumers hold money and government bonds. - Price setting is subject to adjustment costs. - Government spends on goods and services, financing this by lump-sum taxes and issuing bonds. • Monetary policy is assumed to follow a global interest rate rule  − 1 =  ³  +1 ´  as above.
  • 15. III.1. The infinite-horizon Phillips curve • Assume identical expectations, log utility, point expectations and absence of random shocks. Agents observe that  =  and  =  −  in the past. • Let  +1 =  +1. Then  =    (1+)  +   ∞X =1 −1 ³  + ´(1+) −  − 1    − ¯ −  − 1  ∞X =1  ⎛ ⎝  +  + − ¯ ⎞ ⎠  where  = ( − 1)  and  ≥ 12
  • 16. III.2. The consumption function • Consumers are assumed to be Ricardian: - They combine the intertemporal budget constraints of the consumer and the government, evaluated at expectations of the consumer. - Use also the iterated Euler equation. • This yields the “Ricardian” consumption function  = (1 − ) ⎛ ⎝ −  + ∞X =1 ( +)−1(+) ⎞ ⎠ , where + = + − +
  • 17. IV. Temporary Equilibrium and Learning IV.1. Equilibrium conditions • Agents form expectations of future inflation and output, denote these by   and   . • The following equations define a temporary equilibrium: 1) Aggregate demand (agents are assumed to know the interest rate rule), 2) The Phillips curve, 3) Bond dynamics, 4) Money demand, 5) Interest rate rule. • State variables are −1, −1 and −1.
  • 18. • Expectations formed using "steady-state learning" (details later). • Focus on the case where  = ¯. This leads to the aggregate output equation  = 1(    ) ≡ ¯ + (−1 − 1)(  − ¯) Ã   1 + ( ) −   ! • From the nonlinear Phillips curve we get  = 2(    ) = −1[(1(    )   )] where (   ) is from the Phillips curve above.
  • 19. IV.2 Steady states • Steady states   =  and   =  for all  : LEMMA: There are two steady states, (∗ ∗) and ( ) with   ∗. (i) ∗ is locally stable under learning, (ii)  steady state is locally unstable under learning, with the local learning dynamics taking the form of a saddle point.
  • 20. V. Learning and Expectations Dynamics • Starting point: Private agents do not have RE. - They know their own utility and production functions. - They know the per capita government budget constraint. - They do not know that other agents are identical to them. • Expectations formation: Agents estimate an econometric model and make forecasts with the estimated model. - Model is re-estimated and expectations are updated in later periods as new data becomes available.
  • 21. • Steady-state learning   =  −1 + (−1 −  −1)   =  −1 + (−1 −  −1) where  is the “gain sequence,” and either  = −1 (“decreasing gain” learning) or  =  for 0   ≤ 1 and  small (“constant gain” learning). • This corresponds to computing the (possibly weighted) mean from past data. • In non-stochastic models agents cannot learn both the intercept and lag structures.
  • 22. • The (small gain) dynamics, i.e.  → 0 or  sufficiently small, can be approximated by the (E-stability) differential equations   = 1( ) −    = 2( ) −  where  is virtual time (see e.g. Evans and Honkapohja 2001). • Money and bonds dynamics do not directly affect      if consumers are Ricardian.
  • 23. • Global learning dynamics: Set the values  = 25, ∗ = 102,  = 099,  = 07,  = 350,  = 21,  = 1, and  = 02. Comments: - We choose a high value  = 25 to clearly separate ∗ and . -  = 21 gives 5 percent as the implied markup of prices over marginal cost, see Basu & Fernald (1997). - Kehoe & Midgiran (2010) find price changing frequency to be about 4.8 quarters. Then  ≈ 350. -  + is assumed to revert to −1 for  ≥ . We use  = 28. • The dynamical system is two-dimensional. = Use the phase diagram technique.
  • 24. Figure 4: Global learning dynamics — the Ricardian case.
  • 25. • Main features of global learning dynamics: - ∗ is locally stable and there is a “corridor of stability” defined by the set of initial expectations that converge to ∗. - Convergence to ∗ is locally cyclical. - From initial points outside the corridor of stability the trajectory of expec- tations is eventually led into a deflation trap in which ( ) fall steadily over time. • Even though the financial wealth of consumers is getting very large along a deflationary path, Ricardian agents do not respond by sufficiently increasing consumption. They expect offsetting higher future taxes.
  • 26. VI. Policies to Avoid and/or Escape the Liq- uidity Trap VI.1. Monetary policy actions • Recall Figure 3. Policy interest rates are effectively at their lower bound. The standard monetary policy instrument cannot be used. • Monetary policy has relied on unconventional measures: - large scale asset purchase programs (APP) in Japan, Great Britain and United States of America. - ECB introduced special loan facilities to banks, specific asset purchase programs during the sovereign debt crisis and APP since March 2015.
  • 27. • Large scale asset purchase programs (APP): - Japan had a program in the beginning of 2000’s. A new program in 2010 with extensions, latest started in 2014. Ongoing. BOJ balance sheet about 70% of GDP (2015 summer). - United States of America: three programs 2008-2010, 2010-2011 and 2012-2014. Federal Reserve balance sheet about 25% of GDP. - Great Britain: a program 2009-2012. BOE balance sheet about 22% of GDP. - Euro area: ECB program in 2009 (covered bonds) and in 2010 (SMP). A new program in 2014 (some private assets) and 2015 with government and "institution" bonds. Extended in March 2016. ECB balance sheet about 25% of GDP.
  • 28. VI.2. Some theory for unconventional monetary policy • Preceding theoretical analysis: Significant shocks can result in unstable expectation dynamics that goes to the deflation regime. How to avoid it? • Pigou 1943 and Patinkin 1965 argued for real-balance and wealth effects as a stabilizing mechanism. - With non-Ricardian consumers there is convergence back to target steady state (Benhabib et al JEDC 2014). - This requires an appropriate tax policy. - Path involves wide cyclical fluctuations in inflation and output.
  • 29. • Ricardian case: Under a pure Taylor rule policy above, the money stock is determined endogenously by money demand. Bond dynamics are deter- mined as residual and do not have a feedback effect on the real economy. • In a flexible price economy switching to a money supply rule when infla- tion falls below a lower threshold level is known to be effective. - Evans & Honkapohja 2005 take a learning viewpoint. - Benhabib et al 2002: similar results hold under RE with some careful design. • What happens if prices are sticky? (based on Honkapohja 2016).
  • 30. • Bond purchases by the CB financed by new money change the amount of bonds held by the households in our NK model. - These purchases imply corresponding increases in the nominal money stock. - With Ricardian consumers, the effects of asset purchases can be stud- ied as injections of new nominal money to the economy. • Given a low threshold for inflation, the policy-maker introduces an asset purchase program. - assume: nominal money supply starts to grow at some constant rate (Friedman’s rule). +1 = (1 + ) • Question: Will the introduction of asset purchases / money growth avoid the liquidity trap?
  • 31. 0.98 1.00 1.02 1.04 pe0.930 0.935 0.940 0.945 0.950 0.955 0.960 ye Figure 5: Effectiveness of asset purchases.
  • 32. • Figure 5 shows that an asset purchase program is effective, provided that inflation has not gotten to very low level. - The area to the right of the dashed curves would yield convergence to the targeted steady state. - The area to the right of the curve covers most of the domain of attraction for a Taylor rule (except in some unlikely parts of the state space). - Asset purchase program is not a "fool-proof" solution. • Remark: Price-level targeting (Honkapohja and Mitra 2015a, b): under certain conditions price level targeting with a Wicksellian interest rate rule is a fool-proof monetary policy regime to avoid and cure the liquidity trap. - Essential to have forward guidance which the private agents regards fully credible. - Similar result holds for nominal GDP targeting.
  • 33. VII Fiscal Policy VII.1. Overview • Fiscal policy during Great Recession: - IMF recommended stimulus measures of 2% of GDP. - USA, China, Japan, South Korea each introduced fiscal measures. - Australia had two stimulus programs in 2008 and 2009. • EU introduced some stimulus and recommended 1.2% of GDP measures to its members. National responses varied. - Some countries (e.g. UK, Ireland, Spain) had to use major public spend- ing because of banking crises. This limited other fiscal programs.
  • 34. VII.2. Theoretical analysis • Fiscal policy under RE (1) Comparative dynamics: - Effectiveness of different policies depends on whether the liquidity trap is caused by fundamental shock or by expectations and pessimism. - A number of studies consider the fundamental liquidity trap and locally unique RE equilibrium. - For example, spending multipliers are "large" while cuts in marginal taxes are ineffective. - A few studies consider the expectations-driven liquidity trap under RE. Now the effects of fiscal policies can be different.
  • 35. (2) Avoiding a liquidity trap by eliminating the low steady state  with FP: - Under RE promises or threats about “irresponsible” future policies (Krug- man 1998, Benhabib et al 2002, Woodford 2013 etc.) to rule out . • Fiscal policy from learning viewpoint (based on Benhabib et al JEDC 2014). - Assume that the government uses spending  as policy instrument. - Fiscal expansion: a temporary increase in ¯ taking the form  = ( ¯0 for  = 0  0 ¯1 for  = 0 + 1  , so   = (   − ¯0 for  = 0  0   − ¯1 for  = 0 + 1  where ¯0  ¯1. The policy is announced at  = 0 and is credible.
  • 36. - Assume also that +1 = (    ), with ( ) = (∗−1) µ  ∗ ¶∗(∗−1) Ã  ∗ !  to reduce fluctuations. - Efficacy of stimulus depends on the length and magnitude of the fiscal expansion as well as the degree of pessimism in expectations. - Assume (0) = 0993   = 099309 (0) = 094289   = 0942892 0 = 8 and ¯0 = 0202  ¯1 = ¯ = 02. Then we have convergence to the target steady state.
  • 37. 1.00 1.02 1.04 1.06 1.08 1.10 0.92 0.93 0.94 0.95 0.96 y Figure 6: Effective fiscal stimulus - Assume instead that (0) = 0991. Then there is divergence (shown for inflation):
  • 38. 0 10 20 30 40 50 t 0.970 0.975 0.980 0.985 0.990 Figure 7: inflation divergence = Success of a fiscal expansion depends on the state of the economy and the amount and length of stimulus. - See Evans, Honkapohja and Mitra (2016, forthcoming) for a systematic analy- sis of fiscal policies as a remedy to stagnation. - If random shocks are present one can compute probability of success for given policy and initial conditions (Evans, Honkapohja & Mitra 2016).
  • 39. • Other fiscal policies can in principle be considered. Fiscal switching rules: ensure that   eventually    ˜   -This kind of rule can ensure convergence to the target steady state. VIII. Concluding Remarks • The analysis has focused on the possibility of a persistent slowdown due to pessimistic expectations. - Pessimism leads to demand deficiency. This can occur without a financial crisis.
  • 40. • We looked at efficacy of monetary and fiscal policies as remedies using a standard NK macro model. - Unconventional monetary policy (asset purchses) is effective unless ex- pectations have gotten very pessimistic. - There are also effective fiscal policy remedies. Temporary increases in government spending work, but requite “tuning” in length and magnitude. - Sometimes possible to devise a fool-proof fiscal policy. • In reality other phenomena have been present and there are other possible explanations for stagnation. - Financial crisis as an end phase to a credit cycle. - Supply-side factors affecting potential growth: slower technological progress (Gordon), population aging in many countries.
  • 41. Key References Benhabib J., G.W. Evans & S. Honkapohja (2014): Liquidity traps and ex- pectations dynamics: fiscal stimulus or fiscal austerity?, Journal of Economic Dynamics and Control, vol. 45, 220-238. Evans, G.W., S. Honkapohja & K. Mitra (2016): Expectations, stagnation and fiscal policy, manuscript (forthcoming soon). Honkapohja S. (2016), Monetary policies to counter the zero interest rate: an overview of research, Empirica (forthcoming). Also Bank of Finland Discussion Paper nr. 18/2015.