How comparable are labor demand elasticities across countries?
The authors present the first comparable dynamic panel estimates of labor demand elasticity, using data from Chile, Colombia, and Mexico. They examine the benefits, and limits of the Arellano, and Bond GMM in differences estimator, and the Blundell, and Bond GMM system estimator. They also explore the limitations of such measures for diagnosing flexibility in the labor market. Even accounting for the large variance induced by different estimation techniques, one probably cannot say much about the flexibility of different labor markets based on comparisons of the estimated elasticity of demand. Colombia, for example, which has severe restrictions on firing workers, has much higher long-run wage elasticity than Chile, which has no such restrictions. Three factors make such comparisons difficult: 1) Elasticity differ greatly across industries, so the composition of industry in each country probably affects the aggregate elasticity. Estimates are extremely dependent on the estimation approach, and specification. 2) Even for specific industries, the elasticity of labor demand differs greatly across countries. And the authors find no common pattern of country rankings across industries, which suggests that those differences cannot be attributed solely to systematic characteristics of the countries'labor markets. 3) Estimates for Chile over fifteen years, suggest substantial, and significant variations in elasticity over time. So comparisons across countries depend not only on the industries involved, but also on the sample periods of time used. Estimates change greatly, if not secularly, with sample period.
|Date of creation:||31 Aug 2001|
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- Maloney, William F. & Pontual Ribeiro, Eduardo, 1999. "Efficiency wage and union effects in labor demand and wage structure in Mexico - An application of quantile analysis," Policy Research Working Paper Series 2131, The World Bank.
- Manuel Arellano & Stephen Bond, 1991.
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Review of Economic Studies,
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- Tom Doan, . "RATS program to replicate Arellano-Bond 1991 dynamic panel," Statistical Software Components RTZ00169, Boston College Department of Economics.
- Blundell, R. & Bond, S., 1995.
"Initial Conditions and Moment Restrictions in Dynamic Panel Data Models,"
104, Economics Group, Nuffield College, University of Oxford.
- Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
- Richard Blundell & Steve Bond, 1995. "Initial conditions and moment restrictions in dynamic panel data models," IFS Working Papers W95/17, Institute for Fiscal Studies.
- R Blundell & Steven Bond, . "Initial conditions and moment restrictions in dynamic panel data model," Economics Papers W14&104., Economics Group, Nuffield College, University of Oxford.
- Dunne, T. & Roberts, M., 1993.
"The Long-Run Demand for Labor: Estimates from Census Establishment Data,"
10-93-8, Pennsylvania State - Department of Economics.
- Timothy Dunne & Mark J Roberts, 1993. "The Long-Run Demand for Labor: Estimates From Census Establishment Data," Working Papers 93-13, Center for Economic Studies, U.S. Census Bureau.
- Sosin, Kim H & Fairchild, Loretta G, 1984. "Nonhomotheticity and Technological Bias in Production," The Review of Economics and Statistics, MIT Press, vol. 66(1), pages 44-50, February.
- Bhalotra, Sonia R, 1998. "The Puzzle of Jobless Growth in Indian Manufacturing," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 60(1), pages 5-32, February.
- Hahn, Jinyong, 1999. "How informative is the initial condition in the dynamic panel model with fixed effects?," Journal of Econometrics, Elsevier, vol. 93(2), pages 309-326, December.
- Zvi Griliches & Jerry A. Hausman, 1984.
"Errors in Variables in Panel Data,"
NBER Technical Working Papers
0037, National Bureau of Economic Research, Inc.
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