The effects of training on Romanian migrants’ income: a propensity score matching approach

Roman, Monica and Popescu, Madalina Ecaterina (2014): The effects of training on Romanian migrants’ income: a propensity score matching approach. Published in: Journal of Economic Computation and Economic Cybernetics Studies and Research , Vol. 49, No. 1 (March 2015): pp. 113-129.

Abstract

Training programs are an important tool of human resource management, especially in case of technological and organizational changes inside a company. According to the human capital theory, trainings generally lead to increased post-training wages. Having this into consideration, this paper aims to evaluate the effects of trainings on the Romanian migrants’ income by conducting propensity score matching, as a novelty in the field. Both the treatment group and the control group were selected from an online survey conducted in 2010 upon the Romanian migrants worldwide. The results confirmed the human capital theory, indicating that after attending trainings Romanian migrants should expect higher incomes.

• Item Type: MPRA Paper
• Language: English
• Keywords: Training, Migration, Income, Propensity Score Matching, Survey
• Subjects: J - Labor and Demographic Economics > J6 - Mobility, Unemployment, Vacancies, and Immigrant Workers > J61 - Geographic Labor Mobility ; Immigrant Workers; J - Labor and Demographic Economics > J6 - Mobility, Unemployment, Vacancies, and Immigrant Workers > J68 - Public Policy; R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R2 - Household Analysis > R23 - Regional Migration ; Regional Labor Markets ; Population ; Neighborhood Characteristics

References

Aldashev, A., Thomsen, S.L., Walter, T. (2010). Short-Term Training Programs for Immigrants: Do Effects Differ from Natives and Why?, ZEW Discussion Paper No. 10-021

Becker, S.O., Ichino, A. (2002). Estimation of average treatment effects based on propensity scores, The Stata Journal 2, 4, pp. 358–377

Caliendo, M., Kopeinig, S. (2008). Some practical guidance for the implementation of propensity score matching, Journal of Economic Surveys, 22 (1), pp. 3172.

Card, D., Kluve, J., Weber, A. (2009). Active labor market policy evaluations: A meta-analysis, IZA Discussion Paper # 4002.

Dehejia, R.H., Wahba, S. (2002). Propensity score matching methods for non-experimental causal studies, Columbia University, Department of Economics Discussion Paper Series, Discussion Paper #:0102-14

Ghita, S., Voineagu, V., Titan, E., Boboc, C., Todose, D., (2007). “Brain Drain phenomena in Romania- Possibilities of Econometrical Modelling”, Economic Computation and Economic Cybernetics and Research, 41:3, pp. 33-41

Heinrich, C.J., Mueser, P.R., Troske, K.R., Jeon, K.S., Kahvecioglu, D.C. (2013). Do Public Employment and Training Programs Work? IZA Journal of Labour Economics, 2-6

Herryman, M. (2010). National Supported Work Demonstration Training Programme Evaluation - An Application of Difference-in-Difference and Propensity Score Matching Methods, The University of Sheffield, Research Paper in Applied Microeconomtrics

Hollenbeck, K., King, C.T., Schroeder, D. (2003). Preliminary WIA Net Impact Estimates: Administrative Records Opportunities and Limitations, New Tools for a New Era! Symposium, Bureau of Labor Statistics & the Workforce Information Council

Kahanec, M., Zimmermann, K.F. (eds.) (2010). EU Labor Market after post enlargement migration, Springer.

Kluve, J. (2006). “The Effectiveness of European Active Labor Market Policy”. IZA Discussion Paper No. 2018.

Krausee, A., Rinne, U., Zimmermann, K.F. (2014). How far is a single European labor market? IZA Discussion Paper No. 8383, August 2014.

LaLonde, R. J. (1986). Evaluating the Econometric Evaluations of Training Programs, American Economic Review, 76 (4), pp.604-620.

Lauringson, A., Villsaar, K., Tammik, L.,Luhavee, T (2011). Impact evaluation of labour market training, Estonian Unemployment Insurance Fund

Lechner, M., Miquel, R.,Wunsch, C. (2005). Long-Run Effects of Public Sector Sponsored Training in West Germany, IZA Discussion Paper No. 1443.

Muehler, G., Beckmann, M.,Schauenberg, B. (2007). The Returns to Continuous Training in Germany: New Evidence from Propensity Score Matching Estimators, ZEW Discussion Papers, No. 07-048

Roman, M., Voicu, C. (2010). „Some socio-economic effects of labour migration on sending country. Evidence from Romania,” Theoretical and Applied Economics 7: 61-76,

Roman, M. (2011). „Factorii demografici şi migraţia: interacţiuni şi tendinţe în România şi în Europa”, Reconect, no. 2

Roman, M., Goschin, Z., Ileanu, B., Popa, A., Roman M. (2012). Emigratia romaneasca. Implicatii economice si demografice. Editura ASE, Bucuresti.

Rosenbaum, P., Rubin, D. (1983). The Central Role of the Propensity Score in Observational Studies for Causal Effects. Biometrika 70(1), pp. 41–55.

Silasi, G., Simina O. (2008) „Migration, Mobility and Human Rights at the Eastern Border of the European Union– Space of Freedom and Security”, Editura Universitatii de Vest, Timisoara

Wordofa, M.G., Sassi, M. (2014). Improving Smallholder Farmers’ Income through Farmer Training Centers: an Impact Evaluation in Haramaya District, Ethiopia, NAF International Working Paper Series, Paper 14/7.

Zimmermann, K.F.: European Labour Mobility. Challenges and Potentials. (2005). De Econ. 153, 425– 450.