2012年-IMF国际货币组织全球_Labor_Market_Flexibility_and_Unemployment_New_Empirical_Evidence_of_Static_and_Dynamic_Effects_28页_1mb

Summary of "Labor Market Flexibility and Unemployment: New Empirical Evidence of Static and Dynamic Effects"

Core Content

This paper investigates the relationship between labor market flexibility and unemployment outcomes, including total unemployment, youth unemployment, and long-term unemployment, using a panel dataset of 97 countries from 1985 to 2008. The study aims to provide new empirical evidence on both static and dynamic effects of labor market institutions on unemployment.

Main Findings

• Labor Market Flexibility Reduces Unemployment: Improvements in labor market flexibility have a statistically significant and negative impact on unemployment outcomes.
• Strongest Effects from Hiring and Firing Regulations and Hiring Costs: Among the indicators analyzed, hiring and firing regulations and hiring costs show the strongest negative effects on unemployment.
• Robustness Across Country Groups: The results are robust across both OECD and non-OECD countries, with non-OECD countries showing larger effects.
• Unemployment Persistence: There is a high persistence in unemployment rates, indicating that previous unemployment levels have a significant influence on current unemployment.
• Dynamic Effects: The dynamic analysis shows that labor market flexibility also affects the change in unemployment over time, with significant negative impacts observed on both the level and the change in unemployment outcomes.
• Policy Implications: Policies aimed at increasing labor market flexibility can reduce unemployment, but they must be carefully designed to improve employment quality and minimize negative short-term effects on inequality and job destruction.

Key Indicators and Variables

• Labor Market Flexibility Indicators:

  • Composite index of labor market flexibility
  • Minimum wage (M)
  • Hiring and firing regulations (H)
  • Centralized collective bargaining (C)
  • Mandated cost of hiring (MCH)
  • Mandated cost of worker dismissal (MCW)
  • Conscription (CO)

• Unemployment Outcomes:

  • Total unemployment
  • Youth unemployment (ages 15–24)
  • Long-term unemployment

• Control Variables:

  • Output gap (gap)
  • Government size (lncg)
  • Trade openness (lnopen)
  • Urbanization rate (lnurbpop)
  • Population density (lnpopdens)
  • Financial crisis dummy (crisis)

Static Relationship

• Equation:
  $$
  U_{it} = \alpha_i + \beta L_{it} + \gamma' X_{it} + \varepsilon_{it}
  $$
• Results:
  • A one standard deviation increase in the composite labor market flexibility index decreases the total unemployment rate by about 0.9 percentage points.
  • For non-OECD countries, the effect is larger (1.3 percentage points) when data is averaged over 5-year periods.
  • Minimum wage and hiring and firing regulations have the strongest negative correlations with unemployment outcomes.
  • The strongest negative correlation is between mandated hiring costs and youth unemployment (1.41 percentage points decrease).
  • Military conscription has a significant negative impact on youth unemployment (1.58 percentage points decrease).
  • Decentralization of wage bargaining does not show a significant effect on youth or long-term unemployment.

Dynamic Relationship

• Equation:
  $$
  \Delta U_{it} = \alpha_i + \rho U_{it-1} + \beta L_{it} + \gamma' X_{it} + \varepsilon_{it}
  $$
• Results:
  • A one standard deviation increase in the composite index decreases the annual change in total unemployment by about 0.35–0.49 percentage points.
  • Financial crises have a positive and statistically significant effect on changes in unemployment.
  • The dynamic effect of labor market flexibility is stronger on youth and long-term unemployment.
  • Hiring and firing regulations and mandated hiring costs have the strongest effects on changes in unemployment.
  • Military conscription negatively affects changes in both youth and long-term unemployment.

Methodology and Data

• Data Source: A panel of 97 countries from 1985 to 2008.
• Flexibility Indicators: Derived from the Fraser Institute's Economic Freedom of the World (EFW) database, covering six policy areas.
• Empirical Methodology: The study uses both static and dynamic models. The dynamic model employs a two-step GMM-system estimator to address endogeneity and reverse causality.
• Robustness Checks: The results are consistent across different specifications and country groups, with no statistically significant differences between OECD and non-OECD countries.

Policy Recommendations

• Design of Reforms: Labor market reforms should be designed to improve employment quality and minimize negative short-term effects on inequality and job destruction.
• Protection of Workers: While job creation is important, policies should also protect workers, not just jobs, by combining unemployment benefits with measures that encourage employment.
• Avoid Artificial Restrictions: Employment protection should avoid artificial restrictions on individual employment contracts to facilitate labor reallocation and job creation.

Figures and Tables

• Figure 1: Shows the cumulative effect of labor market flexibility on unemployment over time, indicating a significant increase in the effect after 2002.
• Tables:
  • Table 1: Summary statistics of unemployment outcomes and labor market flexibility indicators.
  • Table 2: Correlation matrix of unemployment outcomes and labor market flexibility indicators.
  • Tables 3–8: Static effects of labor market flexibility indicators on different unemployment outcomes.
  • Tables 9–11: Dynamic effects of labor market flexibility indicators on unemployment changes.

Conclusion

The paper concludes that labor market flexibility has a significant negative impact on unemployment outcomes, both in the short and long term. It emphasizes the importance of comprehensive labor market reforms and highlights the need for careful policy design to ensure positive outcomes for employment quality and social equity.