Labor Market Efficiency in Indonesia: An Empirical Evidence from Household Survey

Authors

  • Tripitono Adi Prabowo
  • Dyah Wulansari
  • Lilik Sugiharti

Keywords:

Labor Markets, Efficiency,SFA

Abstract

This paper aims to measure labor markets efficiency using production frontier framework. Using Household Social and Economic Survey run by Bureau Statistical Agency, we estimate the production frontier of human capital function in determining earnings. We estimate the model since 1998 until 2014 but with missing some years of observation those are 2004, 2005, and 2011. Wes estimate the on the basis cross section data and we compare them to other periods applying Corrected Ordinary Least Square (COLS), Corrected Median Absolute Deviation (CMAD), and Maximum Likelihood function for Stochastic Frontier Analysis (SFA). The results shows that all input variables are strongly significant with positive sign. All three methods of estimation results consistent parameters both in terms of values and signs. The efficiency scores of labor markets in Indonesia are relatively very low but have increasing pattern every year.

Downloads

Download data is not yet available.

References

Adamchik, Vera A, and King, Arthur E. 2007. Labor Market Efficiency in Poland: A Stochastic Wage Frontier Analysis, The International Journal of Business and Finance Research ♦ Volume 1, Number 2, 2007

Aigner, D. J., C. A. K. Lovell, and P. Schmidt. 1977. Formulation and Estimation of Stochastic Frontier Production Function Models. Journal of Econometrics 6: 21–37

Angeles Diaz, Ángeles M., & Sánchez, R. (2011). Gender and potential wage in Europe: a stochastic frontier approach. International Journal of Manpower, 32(4), 410 425. doi:10.1108/01437721111148531

Balassa, B. (1964). The Capital Needs of The Developing Countries . Kyklos, 17(2), 197– 206. doi:10.1111/j.1467-6435.1964.tb01831.x

Bazen, Stephen and Khalid Maman Waziri.2017. The Assimilation of Young Workers into the Labour Market in France: A Stochastic Earnings Frontier Approach, IZA Discussion Paper No 10841

Belotti, Federico, Silvio, Daidone, and GiuseppeI lardi. 2013. Stochastic Frontier Using Stata, The Stata Journal (2013) 13, Number 4, pp. 719–758

Bishop, John A, Andrew Grodner, Haiyong Liu, dan Jong Rong Chiou.2007. Gender Earning Differentials in Taiwan: A Stochastic Frontier Approach, Journal of Asian Economics, Vol 18, pp 934-945

Cotti, Chad, D and Scott Drewianka. 2007. Labor Market Inefficiency and Economic Restructuring: Evidence from Cross-Sectoral Data, Southern Economic Journal, Vol. 74, No. 1 (Jul., 2007), pp. 214-238

Deelen, Anja and Euwals, Rob. 2014. Do Wages Continue Increasing at Older Ages? Evidence on the Wage Cushion in the Netherlands. IZA Discussion Paper No. 8467, Available at SSRN: https://ssrn.com/abstract=2502327

Greene, W. H. 1980a. Maximum likelihood estimation of econometric frontier functions. Journal of Econometrics 13: 27–56.

b. On the estimation of a flexible frontier production model. Journal of Econometrics 13: 101–115.

Simulated likelihood estimation of the normal-gamma stochastic frontier function. Journal of Productivity Analysis 19: 179–190

Ilmakunnas, Pekka, and Pesola Hanna.2003. Regional Labour Market Matching Functions and Efficiency Analysis, Labour 17 (3) 413–437 (2003)

Khatkhate, Deena R. 1980.Capital Scarcity and Factor Proportions in Less Developed Countries, Journal of Post Keynesian Economics, Vol. 2, No. 3 (Spring, 1980), pp. 420-429

Kumbhakar, Subal C, Hung Jen Wang, and Alan P Horncastle.2015. Practitioner’s Guide to Stochastic Frontier Analysis Using Stata, Cambridge University Press

Landeau, Sergio Salas dan Contreras Dante.2003. Chilean Labor Markets Efficiency: An Earnings Frontier Approach, Estudion de Economia Vol 32 No 1, pp 87-102

Luong, May and Benoit-Paul Herbert. 2009. Age and Earnings, Perspectives, Statistics Canada, catalogue no 75-001-X

Meeusen, W., and J. van den Broeck. 1977. Efficiency estimation from Cobb–Douglas production functions with composed error. International Economic Review 18: 435–444

Dj, Y. R., Rosyad, S., & Muhtarom, A. (2019). Determination of Development of Small Micro Business that Enforces Deket Village, Lamongan Indonesia District. International Journal of Research in Management, Economics and Commerce, 09(6), 27–29.

Ghofur, A., Dj, Y. R., Afin, R., & Muhtarom, A. (2021). COVID 19 Pandemic and Its Economic Spatial Effect : An Empirical Evidence on East Java. Journal of Contemporary Issues in Business and Government, 27(3), 41–46. https://doi.org/10.47750/cibg.2021.27.03.006

Muhtarom, A. (2018). Subsisdi Of Fertilizers, Government Expenditure, Level Of Education, Ratio Of Range And Land For Agricultural Production (District Agricultural Studies - East Java 2010-2016 With Robust Test Method Analysis LAD Least Absolout Deviation).

MediaTrend, 13(1), 82–89. https://doi.org/10.21107/mediatrend.v13i2.3923

Nopo, Hugo, Nancy Daza, and Johanna Ramos.2011. Gender Earnings Gap In The World, IZA Discussion Paper No 5736.

Rama, Martin. 1998. How Bad Is Unemployment in Tunisia? Assessing Labor Market Efficiency in a Developing Country, The World Bank Research Observer, Vol. 13, No. 1 (Feb., 1998), pp. 59-77

Solo, Robert. (1969). Capital and Labor Intensive Technology in Developing Countries, Journal of Economic Issues, 3:4, 96-103, DOI: 10.1080/00213624.1969.11502933

Stevenson, R. E. 1980. Likelihood functions for generalized stochastic frontier estimation.

Journal of Econometrics 13: 57–66

Winsten, C. (1957). Discussion on Mr. Farrell’s Paper,” Journal of the Royal Statistical Society.

Series A (General), 120, 282–4

Downloads

Published

2021-04-30

How to Cite

Prabowo, T. A. ., Wulansari, D. ., & Sugiharti, L. . (2021). Labor Market Efficiency in Indonesia: An Empirical Evidence from Household Survey. The Journal of Contemporary Issues in Business and Government, 27(2), 5634–5654. Retrieved from https://cibgp.com/au/index.php/1323-6903/article/view/1463