The Wage Curve, Once More with Feeling: Bayesian Model Averaging of Heckit Models

  • Rolando Gonzales Martínez School of Business and Law, University of Agder, Norway
Keywords: Model Uncertainty, Bayesian Model Averaging, Wage Curve

Abstract

The sensitivity of the wage curve to sample-selection and model uncertainty was evaluated with Bayesian methods. More than 8000 Heckit wage curves were estimated using data from the 2017 household survey of Bolivia. After averaging the estimates with the posterior probability of each model being true, the wage curve elasticity in Bolivia is close to -0.01. This result suggests that in this country the wage curve is inelastic and does not follow the international statistical regularity of wage curves. 

References

Anaya, M. C. B. and Rodrıguez-Villamil, C. G. (2012). An estimation of the wage curve for Uruguay. Revista Cuadernos de Economıa, 31(36).

Arango, L. E., Obando, N., and Posada, C. E. (2010). Sensibilidad de los salarios al desempleo regional en Colombia: nuevas estimaciones de la curva de salarios. Borradores de Economıa 590, Banco de la Republica de Colombia.

Arin, K. P. and Braunfels, E. (2018). The resource curse revisited: A Bayesian model averaging approach. Energy Economics, 70:170–178.

Baltagi, B. H., Rokicki, B., and Souza, K. B. (2017). The Brazilian wage curve: new evidence from the National Household Survey. Empirical Economics, 53(1):267–286.

Blanchflower, D. G. and Oswald, A. J. (1990). The Wage Curve. Scandinavian Journal of Economics, 92(2):215–235.

Blanchflower, D. G. and Oswald, A. J. (1995). An Introduction to the Wage Curve. Journal of Economic Perspectives, 9(3):153–167.

Blanchflower, D. G. and Oswald, A. J. (2005). The Wage Curve Reloaded. NBER Working Papers 11338, National Bureau of Economic Research, Inc.

Cameron, A. C. and Trivedi, P. K. (2005). Microeconometrics: Methods and Applications. Cambridge University Press.

Campbell, C. and Orszag, J. (1998). A model of the wage curve. Economics Letters, 59(1):119–125.

Carvalho Filho, I. E. and Estevao, M. M. (2012). Institutions, Informality, and Wage Flexibility: Evidence from Brazil. IMF Working Papers 12/84, International Monetary Fund.

Cruces, G. A. and Ham, A. (2010). La flexibilidad laboral en America Latina: las reformas pasadas y las perspectivas futuras. Documentos de Proyectos 291, Naciones Unidas Comision Economica para America Latina y el Caribe (CEPAL).

Daouli, J., Demoussis, M., Giannakopoulos, N., and Laliotis, I. (2017). The wage curve before and during the Greek economic crisis. Empirical Economics, 52(1):59–77.

Fragoso, T. M., Bertoli, W., and Louzada, F. (2018). Bayesian Model Averaging: A Systematic Review and Conceptual Classification. International Statistical Review, 86(1):1–28.

Galiani, S. (2000). Wage determination in Argentina: An econometric analysis with methodology discussion. Technical report, Departamento de Economıa - Universidad Nacional de La Plata.

Garcia, P. and Granados, P. (2005). La curva de salarios en Chile. Documentos de trabajo 320, Banco Central de Chile.

Gregg, P., Machin, S., and FernA¡ndez-Salgado, M. (2014). Real Wages and Unemployment in the Big Squeeze. The Economic Journal, 124(576):408–432.

Heckman, J. J. (1979). Sample Selection Bias as a Specification Error. Econometrica, 47(1):153–161.

Hepple, L. W. (2004). Advances in Econometrics, volume Volume 18, chapter Bayesian Model Choice in Spatial Econometrics, pages 101–126. JAI.

Hoddinott, J. (1996). Wages and Unemployment in an Urban African Labour Market. The Economic Journal, 106(439):1610–1626.

Hoeting, J. A., Madigan, D., Raftery, A. E., and Volinsky, C. T. (1999). Bayesian model averaging: a tutorial (with comments by M. Clyde, David Draper and E. I. George, and a rejoinder by the authors. Statistical Science, 14(4):382–417.

Ines Terra, M., Bucheli, M., Silvia, L., and Carmen, E. (2010). Poverty assessment from integration and employment policies in Uruguay: A CGE modelling analysis. In De Miguel, C., Duran Lima, Jose amd Giordano, P., Guzman, J., Schuschny, A., and Masakazu, W., editors, Modeling Public Policies in Latin America and the Caribbean, pages 175–273. United Nations Publications - United Nations Economic Commission for Latin America and the Caribbean and Inter-American Development Bank.

Kass, R. E. and Raftery, A. E. (1995). Bayes Factors. Journal of the American Statistical Association, 90(430):773–795.

Koop, G. (2003). Bayesian Econometrics. Jhon Wiley & Sons Inc.

Lofgren, H. and Diaz-Bonilla, C. (2010). MAMS: An Economywide Model for Analysis of MDG Country Strategies: Technical Documentation. Mimeo, World Bank.

Lugo, D. C. (2006). Curva salarial: una aplicacion para el caso de Mexico, 1993-2002. Estudios Economicos, 21(2):233–273.

Martinez, I. (2012). El Rol del Desempleo en la Determinacion del Salario: Evidencia Empırica para Lima Metropolitana. Informe final de proyecto breve - concurso de investigacion CIES, CIES.

Nijkamp, P. and Poot, J. (2005). The Last Word on the Wage Curve? Journal of Economic Surveys, 19(3):421–450.

Puhani, P. (2000). The Heckman Correction for Sample Selection and Its Critique. Journal of Economic Surveys, 14(1):53–68.

Raftery, A. E. (1995). Bayesian Model Selection in Social Research. Sociological Methodology, 25:111–163.

Ramos, R., Duque, J. C., and Surinach, J. (2010). Is the wage curve formal or informal? Evidence for Colombia. Economics Letters, 109(2):63–65.

Schwarz, G. (1978). Estimating the Dimension of a Model. The Annals of Statistics, 6(2):461–464.

Traczynski, J. (2017). Firm Default Prediction: A Bayesian Model-Averaging Approach. Journal of Financial and Quantitative Analysis, 52(03):1211–1245.

Published
2018-10-15
How to Cite
Gonzales Martínez, R. (2018). The Wage Curve, Once More with Feeling: Bayesian Model Averaging of Heckit Models. Econometric Research in Finance, 3(2), 79 - 92. https://doi.org/10.33119/ERFIN.2018.3.2.1
Section
Articles
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