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NATIONAL WAGE EQUALIZATION AND
REGIONAL MISALLOCATION:
EVIDENCE FROM ITALIAN AND GERMAN PROVINCES
TITO BOERI – BOCCONI UNIVERSITY
ANDREA ICHINO – EUROPEAN UNIVERSITY INSTITUTE
ENRICO MORETTI – UNIVERSITY OF CALIFORNIA, BERKELEY
JOHANNA POSCH – ANALYSIS GROUP
2019 GFP Annual conference – June 20-21, Sydney
THIS PAPER IN A NUTSHELL:
NORTH AND SOUTH OF ITALY
Labor productivity in the North is higher than in the South.
But nominal wages cannot adjust because of national union contracts.
We show that in this situation:
¡ Nominal wages are uniform across country
¡ Less productive south has high non-employment
¡ North has high housing prices
¡ South has higher real wages than the north (because of lower housing prices) for those who find employment
This paper points out the importance of inflation “across space” instead of “across time” and documents its
distributional and efficiency consequences
THIS PAPER IN A NUTSHELL:
WEST AND EAST OF GERMANY
Labor productivity in the West is higher than in the East.
But since the mid 90s, nominal wages become more dispersed because
¡ A practice of regional collective bargaining
¡ Coverage of sectoral union contracts has decreased
¡ So-called ”opening clauses” allow firms to deviate from union contracts
We show that in this situation:
¡ Nominal wages are higher in the West
¡ Non-employment differences across the two regions are relatively smaller
¡ Little – certainly no negative - relationship of real wages and value added
A PAPER ABOUT ITALY AND GERMANY?
¡ In majority of western European countries more than 75% of workers covered by collective bargaining
agreements
¡ In western Europe bargaining takes place mostly on national or sectoral level
→ results in equalized nominal wages across regions.
¡ In this paper we want to document the effects of this equalization of wages on the example of Italy and Germany.
¡ We argue that nominal wage equality across regions generates important distortions related to housing prices,
unemployment, and real wages.
¡ This is particularly true in countries with high regional differences in productivity.
GROSSVALUE
ADDED PER
WORKER
(15.99,44]
(10.33,15.99]
(7.26,10.33]
(2.16,7.26]
(-.8,2.16]
(-3.4,-.8]
(-7.22,-3.4]
(-12.09,-7.22]
(-16.59,-12.09]
[-28,-16.59]
NOMINAL
WAGES
(10.49,23]
(6.67,10.49]
(3.82,6.67]
(2.05,3.82]
(.93,2.05]
(-.32,.93]
(-2.29,-.32]
(-4.52,-2.29]
(-16.78,-4.52]
[-26,-16.78]
RELATION BETWEENVALUE ADDED AND NOMINAL WAGE
1.51.71.92.12.32.5
Lognominalwage
10.6 10.8 11 11.2
Log value added
44.24.44.64.85
Lognominalwage
10.6 10.8 11 11.2
Log value added
ITALY GERMANY
Estimated coefficient: 0.152 (0.041) Estimated coefficient: 0.738 (0.048)
RELATION BETWEENVALUE ADDED AND NON-EMPLOYMENT
3.23.43.63.844.2
Lognon-employmentrate
10.6 10.8 11 11.2
Log value added
2.833.23.43.63.8
Lognon-employmentrate
10.6 10.8 11 11.2
Log value added
ITALY GERMANY
Estimated coefficient: -1.505 (0.110) Estimated coefficient: -0.054 (0.089)
NON
EMPLOYMENT
RATE
(28.83,49]
(17.02,28.83]
(7.72,17.02]
(1.45,7.72]
(-4.45,1.45]
(-8.92,-4.45]
(-13.98,-8.92]
(-16.41,-13.98]
(-20.07,-16.41]
[-32,-20.07]
WHY DON’T THE JOBLESS IN THE SOUTH MIGRATE TO THE NORTH?
High labour demand causes housing prices in the North to go up but nominal wages are still at a similar level as in
the South.
Real wages are actually higher in the South
Taking wages, housing costs and employment probabilities into consideration:
The incentive to move is small.
HOUSING
PRICES
(29.18,88]
(17.49,29.18]
(5.48,17.49]
(1.53,5.48]
(-3.53,1.53]
(-9.02,-3.53]
(-12.79,-9.02]
(-16.78,-12.79]
(-20.66,-16.78]
[-59,-20.66]
RELATION BETWEENVALUE ADDED AND REAL WAGES
1.71.92.12.32.52.7
Logrealwage
10.6 10.8 11 11.2
Log value added
44.24.44.64.85
Logrealwage
10.6 10.8 11 11.2
Log value added
ITALY GERMANY
Estimated coefficient: -0.575 (0.127) Estimated coefficient: 0.16 (0.08)
REAL WAGES
(16.16,68]
(11.15,16.16]
(7.44,11.15]
(4.02,7.44]
(-1.18,4.02]
(-4.35,-1.18]
(-8.03,-4.35]
(-11.75,-8.03]
(-17.65,-11.75]
[-32,-17.65]
AGGREGATE COSTS OF MISALLOCATION
Spatial equilibrium in this case:
¡ Southern jobs have high real wages but are rationed à residents queue to get one
¡ While they wait, they are idle à inefficient spatial allocation of resources
¡ Implies possibly large economic costs in terms of earnings and employment
Counterfactual scenario:
¡ What if wages were aligned with productivity in the same way as in Germany?
¡ Apply the elasticity of wages and employment with respect to productivity estimated in Germany to Italy
¡ In Germany a 10% productivity difference is associated with a 7.4% difference in wages à apply the same in Italy
COUNTERFACTUAL ITALY - SOUTHERN PROVINCES ONLY
8.36
-0.54
7.84
Status quo Change Counterfactual
0
1
2
3
4
5
6
7
8
9
HourlyWages
in Euros
57.32
12.85 70.17
Status quo Change Counterfactual
0
10
20
30
40
50
60
70
80
Employment rate
% corrected for informal work
766.63
114.37 881
Status quo Change Counterfactual
0
100
200
300
400
500
600
700
800
900
1000
Aggregate labour income
Euros per month per capita
COUNTERFACTUAL ITALY - ALL PROVINCES
8.54
-0.24
8.3
Status quo Change Counterfactual
0
1
2
3
4
5
6
7
8
9
HourlyWages
in Euros
64.86
5.77 70.63
Status quo Change Counterfactual
0
10
20
30
40
50
60
70
80
Employment rate
% corrected for informal work
887.89
51.34 939.24
Status quo Change Counterfactual
0
100
200
300
400
500
600
700
800
900
1000
Aggregate labour income
Euros per month per capita
7.45%
CONCLUSION
In Italy, nominal wage compression and higher productivity in the North generates:
¡ high housing prices in the North
¡ high unemployment in the South
¡ a real wage inversion
Distributional consequences both across and within regions:
¡ Inequality of real wages across regions: southern workers gain
¡ Inequality of income within the south of Italy due to unemployment: southern unemployed lose
¡ High housing rents in the north: gain for house owners in the North vs. people with only labor income
CONCLUSION
Applying the same nominal wage agreements to everybody, generates
¡ inefficient allocation of human resources, that are kept away from more productive working opportunities
¡ larger total unemployment and lower total GDP
¡ inequality of income both within and across regions
We estimate that aligning wages with productivity could increase:
¡ Employment rate in the South by 13 percentage points – by 6 percentage points in Italy overall
¡ Aggregate labor income per capita by 7.45%

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NATIONAL WAGE EQUALIZATION AND REGIONAL MISALLOCATION: EVIDENCE FROM ITALIAN AND GERMAN PROVINCES

  • 1. NATIONAL WAGE EQUALIZATION AND REGIONAL MISALLOCATION: EVIDENCE FROM ITALIAN AND GERMAN PROVINCES TITO BOERI – BOCCONI UNIVERSITY ANDREA ICHINO – EUROPEAN UNIVERSITY INSTITUTE ENRICO MORETTI – UNIVERSITY OF CALIFORNIA, BERKELEY JOHANNA POSCH – ANALYSIS GROUP 2019 GFP Annual conference – June 20-21, Sydney
  • 2. THIS PAPER IN A NUTSHELL: NORTH AND SOUTH OF ITALY Labor productivity in the North is higher than in the South. But nominal wages cannot adjust because of national union contracts. We show that in this situation: ¡ Nominal wages are uniform across country ¡ Less productive south has high non-employment ¡ North has high housing prices ¡ South has higher real wages than the north (because of lower housing prices) for those who find employment This paper points out the importance of inflation “across space” instead of “across time” and documents its distributional and efficiency consequences
  • 3. THIS PAPER IN A NUTSHELL: WEST AND EAST OF GERMANY Labor productivity in the West is higher than in the East. But since the mid 90s, nominal wages become more dispersed because ¡ A practice of regional collective bargaining ¡ Coverage of sectoral union contracts has decreased ¡ So-called ”opening clauses” allow firms to deviate from union contracts We show that in this situation: ¡ Nominal wages are higher in the West ¡ Non-employment differences across the two regions are relatively smaller ¡ Little – certainly no negative - relationship of real wages and value added
  • 4. A PAPER ABOUT ITALY AND GERMANY? ¡ In majority of western European countries more than 75% of workers covered by collective bargaining agreements ¡ In western Europe bargaining takes place mostly on national or sectoral level → results in equalized nominal wages across regions. ¡ In this paper we want to document the effects of this equalization of wages on the example of Italy and Germany. ¡ We argue that nominal wage equality across regions generates important distortions related to housing prices, unemployment, and real wages. ¡ This is particularly true in countries with high regional differences in productivity.
  • 7. RELATION BETWEENVALUE ADDED AND NOMINAL WAGE 1.51.71.92.12.32.5 Lognominalwage 10.6 10.8 11 11.2 Log value added 44.24.44.64.85 Lognominalwage 10.6 10.8 11 11.2 Log value added ITALY GERMANY Estimated coefficient: 0.152 (0.041) Estimated coefficient: 0.738 (0.048)
  • 8. RELATION BETWEENVALUE ADDED AND NON-EMPLOYMENT 3.23.43.63.844.2 Lognon-employmentrate 10.6 10.8 11 11.2 Log value added 2.833.23.43.63.8 Lognon-employmentrate 10.6 10.8 11 11.2 Log value added ITALY GERMANY Estimated coefficient: -1.505 (0.110) Estimated coefficient: -0.054 (0.089)
  • 10. WHY DON’T THE JOBLESS IN THE SOUTH MIGRATE TO THE NORTH? High labour demand causes housing prices in the North to go up but nominal wages are still at a similar level as in the South. Real wages are actually higher in the South Taking wages, housing costs and employment probabilities into consideration: The incentive to move is small.
  • 12. RELATION BETWEENVALUE ADDED AND REAL WAGES 1.71.92.12.32.52.7 Logrealwage 10.6 10.8 11 11.2 Log value added 44.24.44.64.85 Logrealwage 10.6 10.8 11 11.2 Log value added ITALY GERMANY Estimated coefficient: -0.575 (0.127) Estimated coefficient: 0.16 (0.08)
  • 14. AGGREGATE COSTS OF MISALLOCATION Spatial equilibrium in this case: ¡ Southern jobs have high real wages but are rationed à residents queue to get one ¡ While they wait, they are idle à inefficient spatial allocation of resources ¡ Implies possibly large economic costs in terms of earnings and employment Counterfactual scenario: ¡ What if wages were aligned with productivity in the same way as in Germany? ¡ Apply the elasticity of wages and employment with respect to productivity estimated in Germany to Italy ¡ In Germany a 10% productivity difference is associated with a 7.4% difference in wages à apply the same in Italy
  • 15. COUNTERFACTUAL ITALY - SOUTHERN PROVINCES ONLY 8.36 -0.54 7.84 Status quo Change Counterfactual 0 1 2 3 4 5 6 7 8 9 HourlyWages in Euros 57.32 12.85 70.17 Status quo Change Counterfactual 0 10 20 30 40 50 60 70 80 Employment rate % corrected for informal work 766.63 114.37 881 Status quo Change Counterfactual 0 100 200 300 400 500 600 700 800 900 1000 Aggregate labour income Euros per month per capita
  • 16. COUNTERFACTUAL ITALY - ALL PROVINCES 8.54 -0.24 8.3 Status quo Change Counterfactual 0 1 2 3 4 5 6 7 8 9 HourlyWages in Euros 64.86 5.77 70.63 Status quo Change Counterfactual 0 10 20 30 40 50 60 70 80 Employment rate % corrected for informal work 887.89 51.34 939.24 Status quo Change Counterfactual 0 100 200 300 400 500 600 700 800 900 1000 Aggregate labour income Euros per month per capita 7.45%
  • 17. CONCLUSION In Italy, nominal wage compression and higher productivity in the North generates: ¡ high housing prices in the North ¡ high unemployment in the South ¡ a real wage inversion Distributional consequences both across and within regions: ¡ Inequality of real wages across regions: southern workers gain ¡ Inequality of income within the south of Italy due to unemployment: southern unemployed lose ¡ High housing rents in the north: gain for house owners in the North vs. people with only labor income
  • 18. CONCLUSION Applying the same nominal wage agreements to everybody, generates ¡ inefficient allocation of human resources, that are kept away from more productive working opportunities ¡ larger total unemployment and lower total GDP ¡ inequality of income both within and across regions We estimate that aligning wages with productivity could increase: ¡ Employment rate in the South by 13 percentage points – by 6 percentage points in Italy overall ¡ Aggregate labor income per capita by 7.45%