SYLLABUS. Prerequisite background: Working knowledge of calculus and matrix algebra.

Transcription

1 Sciences Po Fall 2012 Professor R. L. Oaxaca SYLLABUS This series of lectures is on applied microeconometric methods for labor demand analysis. Speci c topics cover the relationship of labor demand to production technologies and output market conditions, policy simulation methodology, and labor market discrimination. The objective of the lectures is to provide the student with a thorough understanding of the issues and methodological approaches associated with applied labor demand research. It is anticipated that students will develop an appreciation for what types of data are required to answer empirical questions related to selected aspects of the labor market. Students will gain insights into adapting appropriate estimation strategies to the empirical question being addressed and the data available. An important goal of the lectures is to enable the student to appreciate how empirical approaches to an important research question are disciplined by economic theory. It is hoped that the lectures will foster a sensitivity to the limitations that inevitably arise with empirical analysis and that potentially a ect causal inferences. Prerequisite background: Working knowledge of calculus and matrix algebra.

2 COURSE OUTLINE AND BACKGROUND REFERENCES I. Background Source Material A. Econometrics Russel Davidson and James G. MacKinnon, Econometric Theory and Methods, Oxford University Press (New York: 2004) William H. Greene, Econometric Analysis, 7th International) ed. (2012). Cameron, A. Colin and Pravin K. Trivedi, Microeconometrics: Methods and Applications (2005) B. Labor Demand Daniel S. Hamermesh, Labor Demand (Princeton: Princeton University Press, 1993). Chapters 2, 3, 6, & 7. Pierre Cahuc and André Zylberberg, Labor Economics,MIT Press, 2004, Chapter 4. II. Empirical Labor Demand Studies Daniel S. Hamermesh, Econometric Studies of Labor Demand and Their Application to Policy Analysis, Journal of Human Resources, 11, Fall Daniel S. Hamermesh, The Demand for Labor in the Long Run in Handbook of Labor Economics, Vol. 1, Ashenfelter & Layard, eds. (Amsterdam: North Holland, 1986). Chapter 8. Daniel S. Hamermesh, "Labour Demand and the Source of Adjustment Costs," Economic Journal, 105, May Simona Lup and Ronald L. Oaxaca, Technological Change and Gender Wage Gaps in the U.S. Service Industry, Annales D Économie et de Statistique, (Annals of Economics and Statistics), Vol. 99/100, July/December 2010: B. Simulation methodology Class notes IV. Labor market discrimination A. Theories Baldwin et al. A Hierarchical Theory of Occupational Segregation and Wage Discrimination, Economic Inquiry, 39(1), 2001: pp Gary S. Becker, The Economics of Discrimination 2nd ed. (Chicago: University of Chicago Press, 1971). Cahuc and Zylberberg, Labor Economics, Chapter 5. 2

3 Manning, Alan Monopsony in Motion. Princeton: Princeton University Press. Robinson, Joan The Economics of Imperfect Competition. 2nd ed. London: Macmillan. B. Decomposition Methodology Alan S. Blinder, Wage Discrimination: Reduced Form and Structural Estimates, Journal of Human Resources, Fall Javier Gardeazabal and Arantza Ugidos, More on Identi cation in Detailed Wage Decompositions, The Review of Economics and Statistics, Vol. 86, No. 4, November 2004, Ronald L. Oaxaca and Iris Geisler, Fixed E ects Models with Time Invariant Variables: A Theoretical Note, Economic Letters, vol. 80, No. 3, September 2003, Machado, J. A. F. and Mata, J. Counterfactual Decomposition of Changes in Wage Distributions Using Quantile Regression, Journal of Applied Econometrics, 20, No. 4, 2005, David Neumark, Employers Discriminatory Behavior and the Estimation of Wage Discrimination, Journal of Human Resources, Summer Nguyen, et.al, A Quantile Regression Decomposition of Urban-Rural Inequality in Vietnam Journal of Development Economics, vol. 83(2), 2007, pp Hugo Ñopo, Matching as a Tool to Decompose Wage Gaps, The Review of Economics and Statistics, MIT Press, vol. 90(2), 2008, pp Ronald L. Oaxaca, Male-Female Wage Di erentials in Urban Labor Markets, International Economic Review, October Ronald L. Oaxaca and Michael R. Ransom, On Discrimination and the Decomposition of Wage Di erentials, Journal of Econometrics, March Ronald L. Oaxaca and Michael R. Ransom, Calculation of Approximate Variances for Wage Decomposition Di erentials, Journal of Economic and Social Measurement, vol. 24, no. 1, Ronald L. Oaxaca and Michael R. Ransom, Identi cation in Detailed Wage Decompositions, Review of Economics and Statistics, vol. 81, no. 1, February Ronald L. Oaxaca and Shoshana Neuman, Wage Decompositions with Selectivity- Corrected Wage Equations: A Methodological Note, Journal of Economic Inequality vol. 2, No. 1, April 2004, Regan, Tracy and Ronald L. Oaxaca, Work Experience as a Source of Speci cation Error in Earnings Models: Implications for Gender Wage Decompositions, Journal of Population Economics, Vol. 22, No.2 (2009), pp

4 Shatnawi, Dina, Ronald L. Oaxaca, and Michael R Ransom, Movin on Up: Hierarchical Occupational Segmentation and Gender Wage Gaps, September 2012 (unpublished) Sørensen,Todd, Supriya Sarnikar, and Ronald L. Oaxaca. Race and Gender Di erences Under Federal Sentencing Guidelines, American Economic Review Papers & Proceedings, Vol. 102, No.3 (2012), pp Sørensen, Todd, Supriya Sarnikar, and Ronald L. Oaxaca. Do You Receive a Lighter Prison Sentence Because You are a Woman or a White? An Economic Analysis of Federal Criminal Sentencing Guidelines, July 2012 (unpublished) Myeong-Su Yun, A Simple Solution to the Identi cation Problem in Detailed Wage Decompositions, Economic Inquiry, vol. 43, Oct 2005, C. Empirical Labor Market Discrimination Studies David Dickinson and Ronald L. Oaxaca, Statistical Discrimination in Labor Markets: An Experimental Analysis, Southern Economic Journal, Vol. 76, No. (1), pp David Dickinson and Ronald L. Oaxaca, Wages, Employment, and Statistical Discrimination: Evidence from the Laboratory, September 2012 (unpublished) Ronald L. Oaxaca and Michael R Ransom, Using Econometric Models for Intra rm Equity Salary Adjustments, Journal of Economic Inequality, vol. 1, No. 1, December 2003, Michael R Ransom and Ronald L. Oaxaca Intra rm Mobility and Sex Di erences in Pay, Industrial and Labor Relations Review, Vol. 58, No. 2, January 2005,

5 Ransom, M. and R.L. Oaxaca. New Market Power Models and Sex Di erences in Pay, Journal of Labor Economics, Vol. 28, No.2 (2010), pp