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Estimating State-Level Matching Efficiencies in the Indian Labor Market

  • Received : 2020.08.30
  • Accepted : 2020.09.26
  • Published : 2020.09.30

Abstract

We analyze state-level matching efficiencies in the Indian labor market using stochastic frontier analysis. The key contribution of this research is the estimation of matching efficiencies at the state level because these can be used for a state-level measure of labor market conditions. Next, we explore the relationship between the estimated matching efficiencies and population density, labor market flexibility, and the Ease of Doing Business index, respectively. The results show that matching efficiency is heterogeneous across states with considerable variation in accordance with the regional diversity in India. However, we find that there is little relationship between the estimated matching efficiencies and the labor market conditions of interest, suggesting that other regional diversity affects matching efficiencies across states in India.

Keywords

References

  1. Aigner, D., C. A. Knox Lovell, K. C. A. and P. Schmidt. 1977. "Formulation and Estimation of Stochastic Frontier Production Function Models," Journal of Econometrics, vol. 6, no. 1, pp. 21-37. https://doi.org/10.1016/0304-4076(77)90052-5
  2. Battese, G. E. and T. J. Coelli. 1992. "Frontier Production Functions, Technical Efficiency and Panel Data: with Application to Paddy Farmers in India," Journal of Productivity Analysis, vol. 3, pp. 153-169. https://doi.org/10.1007/BF00158774
  3. Belotti, F., Daidone, S., Ilardi, G. and V. Atella. 2013. "Stochastic Frontier Analysis Using Stata," Stata Journal, vol. 13, no. 4, pp. 719-758. https://doi.org/10.1177/1536867X1301300404
  4. Besley, T. and R. Burgess. 2004. "Can Labor Regulation Hinder Economic Performance? Evidence from India," Quarterly Journal of Economics, vol. 119, no. 1, pp. 91-134. https://doi.org/10.1162/003355304772839533
  5. Bhattacharya, A., Bruce, A. and S. Agrawal. 2015. Future of Indian Manufacturing: Bridging the Gap. Mumbai: Boston Consulting Group.
  6. Coelli, T. J., Rao, D. S. P., O'Donnell, C. J. and G. E. Battese. 2005. An Introduction to Efficiency and Productivity Analysis. New York: Springer Science & Business Media.
  7. Coles, M. G. and E. Smith. 1996. "Cross-Section Estimation of the Matching Function: Evidence from England and Wales," Economica, vol. 63, no. 252. pp. 589-597. https://doi.org/10.2307/2554997
  8. Cornwell, C., Schmidt, P. and R. C. Sickles. 1990. "Production Frontiers with Cross-Sectional and Time-Series Variation in Efficiency Levels," Journal of Econometrics, vol. 46, nos. 1-2, pp. 185-200. https://doi.org/10.1016/0304-4076(90)90054-W
  9. Destefanis, S. and R. Fonseca. 2007. "Matching Efficiency and Labour Market Reform in Italy: A Macroeconometric Assessment," Labour, vol. 21, no. 1, pp. 57-84. https://doi.org/10.1111/j.1467-9914.2006.00368.x
  10. Directorate General of Employment & Training (DGE&T). 2018, Employment Exchange Statistics 2018. and previous publications. New Delhi: Ministry of Labour and Employment, Government of India.
  11. Dougherty, S., Robles, V. F. and K. Krishna. 2011. Employment Protection Legislation and Plant-Level Productivity in India. OECD Economic Department Working Papers, no. 917.
  12. Fahr, R. and U. Sunde. 2006. "Regional Dependencies in Job Creation: An Efficiency Analysis for Western Germany," Applied Economics, vol. 38, no. 10, pp. 1193-1206. https://doi.org/10.1080/00036840600685140
  13. Greene, W. H. 2003. Econometric Analysis. 5th ed. Upper Saddle River, NJ: Prentice Hall.
  14. Greene, W. H. 2005. "Reconsidering Heterogeneity in Panel Data Estimators of the Stochastic Frontier Model," Journal of Econometrics, vol. 126, no. 2, pp. 269-303. https://doi.org/10.1016/j.jeconom.2004.05.003
  15. Greene, W. H. 2008. "The Econometric Approach to Efficiency Analysis." In Fried, H. O., Lovell, C. A. K. and S. S. Schmidt. (eds.) The Measurement of Productive Efficiency and Productivity Growth. New York: Oxford University Press. pp, 92-250.
  16. Gupta, P., Hasan, R. and U. Kumar. 2008/2009. "Big Reforms But Small Payoffs: Explaining the Weak Record of Growth in Indian Manufacturing," India Policy Forum, vol. 5, no. 1, pp. 59-123.
  17. Hasan, R., Mitra, D., Ranjan. P. and R. N. Ahsan. 2012. "Trade Liberalization and Unemployment: Theory and Evidence from India," Journal of Development Economics, vol. 97, no. 2, pp. 269-280. https://doi.org/10.1016/j.jdeveco.2011.04.002
  18. Hynninen, S.-M. and J. Lahtonen. 2007. "Does Population Density Matter in the Process of Matching Heterogeneous Job Seekers and Vacancies?" Empirica, vol. 34, no. 5, pp. 397-410. https://doi.org/10.1007/s10663-007-9037-0
  19. Ibourk, A., Maillard, B., Perelman, S. and H. R. Sneessens. 2004. "Aggregate Matching Efficiency: A Stochastic Production Frontier Approach, France 1990-1994," Empirica, vol. 31, no. 1, pp. 1-25. https://doi.org/10.1023/B:EMPI.0000024046.48027.bc
  20. Jondrow, J., Lovell, C. K., Materov, I. S. and P. Schmidt. 1982. "On the Estimation of Technical Inefficiency in the Stochastic Frontier Production Function Model," Journal of econometrics, vol. 19, nos. 2-3, pp. 233-238. https://doi.org/10.1016/0304-4076(82)90004-5
  21. Kano, S. and M. Ohta. 2005. "Estimating A Matching Function and Regional Matching Efficiencies: Japanese Panel Data for 1973-1999," Japan and the World Economy, vol. 17, no. 1, pp. 25-41. https://doi.org/10.1016/S0922-1425(03)00039-2
  22. Kumbhakar, S. C. and C. A. K. Lovell. 2003. Stochastic Frontier Analysis. Cambridge University Press.
  23. Kumbhakar, S. C., Wang, H.-J. and A. Horncastle. 2015. A Practitioner's Guide to Stochastic Frontier Analysis Using Stata. New York: Cambridge University Press.
  24. Lee, W. 2017. "Trade Liberalization and the Aggregate Matching Function in India," Asian Economic Papers, vol. 16, no. 1, pp. 120-137. https://doi.org/10.1162/ASEP_a_00493
  25. Lee, W. 2019. "The Role of Labor Market Flexibility in the Job Matching Process in India: An Analysis of the Matching Function Using State-Level Panel Data," Emerging Markets Finance and Trade, vol. 55, no. 4, pp. 934-949. https://doi.org/10.1080/1540496X.2017.1294982
  26. Mastromarco, C. 2008. Stochastic Frontier Models. Research Paper, Department of Economics and Mathematics-Statistics, University of Salento.
  27. Meeusen, W. and J. van Den Broeck. 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International economic review, vol. 18, no. 2, pp. 435-444. https://doi.org/10.2307/2525757
  28. Organisation for Economic Co-operation and Development (OECD). 2007. OECD Economic Survey of India. Paris: OECE Publishing.
  29. Petrongolo, B. and C. A. Pissarides. 2001. "Looking into the Black Box: A Survey of the Matching Function," Journal of Economic literature, vol. 39, no. 2, pp. 390-431. https://doi.org/10.1257/jel.39.2.390
  30. Pissarides, C. A. 2000. Equilibrium Unemployment Theory. 2nd edition, Cambridge, Mass. : MIT press.
  31. Population Census 2011. (accessed May 21, 2020)
  32. Sachs, J. D., Bajpai, N. and A. Ramiah. 2002. "Understanding Regional Economic Growth in India," Asian Economic Papers, vol. 1, no. 3, pp. 32-62. https://doi.org/10.1162/153535102320893983
  33. Topalova, P. 2007. "Trade Liberalization, Poverty and Inequality: Evidence from Indian Districts." In Harrison, A. (ed.) Globalization and Poverty. Chicago: University of Chicago Press. pp. 291-336.
  34. World Bank. 2020. Doing Business 2020. Washington: World Bank Publishing.
  35. World Bank Open Data. (accessed May 21, 2020)