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Intergenerational Mobility in Britain: Revisiting the Prediction Approach of Dearden, Machin and Reed

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Author Info
Ramses Abul Naga
Frank Cowell

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Abstract

The prediction approach proposed by Dearden, Machin and Reed (DMR) consists in (1) regressing the observed incomes of the child and parent families on separate sets of predetermined variables, and (2) regressing the child's predicted income on that of the parents. Conceptually, this estimator must relate to the 2SLS/IV estimator. We re-derive the prediction estimator in matrix form, and reconsider its consistency requirements. The measurement model of DMR is then embedded within a simultaneous equations framework, for which an alternative 2SLS/IV estimator is proposed. The latter produces larger estimates for the intergenerational correlation. The policy relevance of the two sets of findings are then discussed.

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Publisher Info
Paper provided by Université de Lausanne, Faculté des HEC, DEEP in its series Cahiers de Recherches Economiques du Département d'Econométrie et d'Economie politique (DEEP) with number 02.15.

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Length: 13 pp.
Date of creation: Aug 2002
Date of revision:
Handle: RePEc:lau:crdeep:02.15

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Postal: Université de Lausanne, Faculté des HEC, DEEP, Internef, CH-1015 Lausanne
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Fax: ++41 21 692.33.65
Web page: http://www.hec.unil.ch/deep/publications-english/e-cahiers.htm

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Related research
Keywords: intergenerational mobility; measurement error; prediction approach; simultaneous equations;

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Find related papers by JEL classification:
I3 - Health, Education, and Welfare - - Welfare and Poverty
J62 - Labor and Demographic Economics - - Mobility, Unemployment, and Vacancies - - - Job, Occupational and Intergenerational Mobility; Promotion

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Bound, John, et al, 1994. "Evidence on the Validity of Cross-Sectional and Longitudinal Labor Market Data," Journal of Labor Economics, University of Chicago Press, vol. 12(3), pages 345-68, July. [Downloadable!] (restricted)
  2. Zimmerman, David J, 1992. "Regression toward Mediocrity in Economic Stature," American Economic Review, American Economic Association, vol. 82(3), pages 409-29, June.
  3. Solon, Gary, 1992. "Intergenerational Income Mobility in the United States," American Economic Review, American Economic Association, vol. 82(3), pages 393-408, June. [Downloadable!] (restricted)
  4. Ramses H. ABUL NAGA, 2001. "Biases of the Ordinary Least Squares and Instrumental Variables Estimators of the Intergenerational Earnings Correlation : Revisited in the Light of Panel Data," Cahiers de Recherches Economiques du Département d'Econométrie et d'Economie politique (DEEP) 01.05, Université de Lausanne, Faculté des HEC, DEEP. [Downloadable!]
  5. Solon, Gary, 1999. "Intergenerational mobility in the labor market," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 29, pages 1761-1800 Elsevier. [Downloadable!] (restricted)
  6. Stewart, Mark B, 1983. "On Least Squares Estimation When the Dependent Variable Is Grouped," Review of Economic Studies, Blackwell Publishing, vol. 50(4), pages 737-53, October. [Downloadable!] (restricted)
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  7. Dearden, Lorraine & Machin, Stephen & Reed, Howard, 1997. "Intergenerational Mobility in Britain," Economic Journal, Royal Economic Society, vol. 107(440), pages 47-66, January. [Downloadable!] (restricted)
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