Richey, Jeremiah and Rosburg, Alicia (2016): Understanding intergenerational economic mobility by decomposing joint distributions.
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Abstract
We propose a simple and generalizable decomposition method to evaluate intergenerational economic mobility. The method decomposes the difference between the empirical parent-offspring joint distribution of incomes and a hypothetical independent parent-offspring joint distribution of incomes. The difference is attributed to (1) a portion due to a link between parental income and offspring characteristics (a composition effect) and (2) a portion due to a link between parental income and the returns to characteristics (a structure effect). The method is based on the estimation of counterfactual joint distributions consistent with (actual and counterfactual) conditional distributions estimated via distributional regression and (actual and counterfactual) distributions of covariates. The counterfactual joint distributions are then caste into common measures of mobility found in the literature: intergenerational elasticities of incomes and their quantile regression counterparts, transition matrices, summary indices of transition matrices, and upward mobility probabilities. These counterfactual measures are used to assign portions of measured (im)mobility to composition and structure effects. We apply the method to U.S. intergenerational economic mobility of white males born between 1957 and 1964. Across multiple mobility measures and using two different counterfactuals, we find that the composition effect (i.e., differences in the distribution of characteristics) generally accounts for about 60-70% of the measured mobility gap. Further, we find evidence of a safety-net effect of parental income which appears to be primarily compositional in nature.
Item Type: | MPRA Paper |
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Original Title: | Understanding intergenerational economic mobility by decomposing joint distributions |
Language: | English |
Keywords: | intergenerational mobility, decomposition methods |
Subjects: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C14 - Semiparametric and Nonparametric Methods: General C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C20 - General J - Labor and Demographic Economics > J3 - Wages, Compensation, and Labor Costs > J31 - Wage Level and Structure ; Wage Differentials J - Labor and Demographic Economics > J6 - Mobility, Unemployment, Vacancies, and Immigrant Workers > J62 - Job, Occupational, and Intergenerational Mobility |
Item ID: | 72665 |
Depositing User: | Jeremiah Richey |
Date Deposited: | 24 Jul 2016 06:13 |
Last Modified: | 27 Sep 2019 11:48 |
References: | Altonji J, Bharadwaj P, Lange F. 2012. Changes in the characteristics of american youth: implications for adult outcomes. Journal of Labor Economics, 4: 783-828. Ashenfelter O, Rouse C. 2000. Schooling, intelligence, and income in America. Chapter 5 in D. Arrow D, S. Bowles, and S. Durlauf (eds.), Meritocracy and Economic Inequality. Princeton: Princeton University Press. Becker G, Tomes N. 1979. An equilibrium theory of the distribution of income and intergenerational mobility. Journal of Political Economy, 87: 1153-1189. Becker G, Tomes N. 1986. Human capital and the rise and fall of families. Journal of Labor Economics, 4(3):S1-S39. Bhattacharya D, Mazumder B. 2011. A nonparametric analysis of black-white differences in intergenerational income mobility in the United States. Quantitative Economics, 43(1): 139-172. Bjorklund A, Lindahl M, Plug E. 2006. The origins of intergenerational associations: lessons from Swedish adoption data. Quarterly Journal of Economics, 121(3): 999-1028. Black S, Devereux P. 2011. Recent developments in integenerational mobility. Chapter 16 in D. Card and O. Ashenfelter (eds.), Handbook of Labor Economics. Volume 4(B):1487-1541. Elsevier: Amsterdam. Blanden J, Gregg P, Macmillan L. 2007. Accounting for intergenerational income persistance: noncognitive skills, ability and education. The Economic Journal, 117:C43-C60. Blinder A. 1973. Wage discrimination: reduced form and structural estimates. Journal of Human Resources, 8:436-455. Bohlmark A, Lindquist M. 2007. Life-cycle variations in the association between current and lifetime income: replication and extension for Sweden. Journal of Labor Economics, 24(4): 879-896. Bowles S, Gintis H. 2002. The inheritance of inequality. Journal of Economic Perspectives, 16(3): 3-30. Bureau of Labor Statistics (BLS). 2015. NLSY79 appendix 21: attitudinal scales. Bureau of Labor Statistics - National Longitudinal Survey of Youth 1979. Accessed June 29, 2015. Cardak B, Johnston D, Martin V. 2013. Intergenerational income mobility: a new decomposition of investment and endowment effects. Labour Economics, 24: 39-47. Checchi D, Ichino A, Rustichini A. 1999. More equal but less mobile? Education financing and intergenerational mobility in Italy and in the US. Journal of Public Economics, 74: 351-393. Chernozhukov V, Fernandez-Val I, Melly B. 2013. Inference on counterfactual distributions. Econometrica 81: 2205-2268. DiNardo J, Fortin N, Lemieux T. 1996. Labor market institutions and the distribution of wages, 1973-1992: a semiparametric approach. Econometrica, 64: 1001-1044. Du Z, Li R, He Q, Zhang L. 2014. Decomposing the Rich Data Effect on Income Inequality using Instrumental Variable Quantile Regression. China Economic Review, 31: 379-391. Eide, E, Showalter, M. 1999. Factors affecting the transmission of earnings across generations: a quantile regression approach. The Journal of Human Resources, 34(2) Elder, T, Goddeeris, J, Haider, S. 2010. Unexplained gaps and Oaxaca-Blinder decompositions. Labour Economics, 17: 284-290. Firpo, S, Fortin, N, Lemieux, T. 2007. Decomposing wage distributions using recentered influence function regressions. Mimeo, University of British Columbia. Flynn J. 2004. IQ trends over time: intelligence, race, and meritocracy. Chapter 3 in D. Arrow, S. Bowles, and S. Durlauf (eds.), Meritocracy and Economic Inequality. Princeton: Princeton University Press. Foresi S, Peracchi F. 1995. The conditional distribution of excess returns: an empirical analysis. Journal of the American Statistical Association, 90: 451-466. Formby J, Smith J, Zheng B. 2004. Mobility measurement, transition matrices and statistical inference. Journal of Econometrics, 120: 181-205. Fortin N, Lemieux T, Firpo S. 2011. Decomposition methods in economics. Chapter 1 in O. Ashenfelter, R. Layard, and D. Card (eds.), Handbook of Labor Economics. Volume 4(A): 1 - 102. New Holland. Haider S, Solon G. 2006. Life-cycle variation in the association between current and lifetime earnings. American Economic Review, 96(4): 1308-1320. Koenker R, Bassett G. 1978. Regression quantiles. Econometrica, 46: 33-50. Koenker R, Leorato S, Peracchi F. 2013. Distributional vs. quantile regression. Center for Economic and International Studies Working Paper Series, 11(15), No. 300. Lefgren L, Lindquist M, Sims D. 2012. Rich dad, smart dad: decomposing the intergenerational transmission of income. Journal of Political Economy, 120: 268-303. Liu H, Zeng J. 2009. Genetic ability and intergenerational income mobility. Journal of Population Economics, 22: 75-95. Maasoumi E. 1998. On mobility. Chapter 5 in A. Ullah and D. Giles (eds.), Handbook of Applied Economic Statistics. Marcel Dekker: New York. Machado J, Mata J. 2005. Counterfactual decomposition of changes in wage distributions using quantile regression. Journal of Applied Econometrics, 20: 445-465. Mayer S, Lopoo L. 2008. Government spending and intergenerational mobility. Journal of Public Economics, 92: 139-158. Mazumder B. 2005. Fortunate sons: new estimates of intergenerational mobility in the United States using social security income data. The Review of Economics and Statistics, 87(2): 235-255. Mincer J. 1974. Schooling, Experience and Earnings. New York: National Bureau of Economic Research. Neumark, D. 1988. Employers' discriminatory behavior and the estimation of wage discrimination. Journal of Human Resources, 23(3): 279-295. Nopo, H. 2008. An extension of the Blinder-Oaxaca decomposition to a continuum of comparison groups. Economics Letters, 100: 292-296. Nybom M, Stuhler J. 2015. Biases in standard measures of intergenerational income dependence. Working Paper. Oaxaca R. 1973. Male-female wage differentials in urban labor markets. International Economic Review, 14: 693-709. Richey J, Rosburg, A. 2016. ``Decomposing economic mobility transition matrices." MPRA Working paper Rothe C. 2015. Decomposing the composition effect. Journal of Business and Economic Statistics, 33(3): 323-337. Shea J. 2000. Does parents' money matter? Journal of Public Economics, 111(3): 358-368. Solon G. 1999. Intergenerational mobility in the labor market. Chapter 29 in O. Ashenfelter and D. Card (eds), Handbook of Labor Economics. Volume 3A. Elsevier: Amsterdam. Ulrick, Shawn W. 2012. The Oaxaca decomposition generalized to a continuous group variable. Economics Letters, 115(1): 35-37. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/72665 |