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Source: Annales de l\'INSEE
Resulting in 5 citations.
1. Chamberlain, Gary
Omitted Variable Bias in Panel Data: Estimating the Returns to Schooling
Annales de l'INSEE 30-31 (April-September 1978): 49-82.
Also: http://www.jstor.org/stable/20075285
Cohort(s): Young Men
Publisher: INSEE (Institut National de la Statistique et des Etudes Economiques)
Keyword(s): Earnings; Educational Returns; Heterogeneity; Job Training; Schooling; Work Experience

Permission to reprint the abstract has not been received from the publisher.

This paper uses panel data to control for heterogeneity in estimating the effect of variables that are not changing over time. Identification is achieved by structuring the cross-equation residual covariances via a set of common omitted variables, which are in turn related to a set of measured exogenous variables. The principal finding is a substantial downward bias in regression estimates of the effect of schooling upon wages for a sample of young men. This finding is interpreted by relating schooling to the variance in experience-earnings profiles associated with investment in on-the-job training.
Bibliography Citation
Chamberlain, Gary. "Omitted Variable Bias in Panel Data: Estimating the Returns to Schooling." Annales de l'INSEE 30-31 (April-September 1978): 49-82.
2. Griliches, Zvi
Hall, Bronwyn H.
Hausman, Jerry A.
Missing Data and Self-Selection in Large Panels
Annales de l'INSEE 30-31 (April-September 1978): 137-176.
Also: http://www.jstor.org/stable/20075289
Cohort(s): Young Men
Publisher: INSEE (Institut National de la Statistique et des Etudes Economiques)
Keyword(s): Educational Returns; Research Methodology

Permission to reprint the abstract has not been received from the publisher.

Two problems which occur in analyzing large panels of cross section data are considered: missing data and self- selection. In the case of randomly missing data, using only the complete data subsample results in unbiased but inefficient estimates. We demonstrate that in large panels the efficiency gains from using efficient methods are likely to be quite small. For non-random missing data, we present a methodology which corrects for the bias which occurs if only the complete data subsample is used. Lastly, we formulate and estimate a model where the missing data arises from self-selection in the decision to remain in school. Using the NLS of Young Men, we find that accounting for self-selection increases the estimated returns to schooling by 50%.
Bibliography Citation
Griliches, Zvi, Bronwyn H. Hall and Jerry A. Hausman. "Missing Data and Self-Selection in Large Panels." Annales de l'INSEE 30-31 (April-September 1978): 137-176.
3. Griliches, Zvi
Yatchew, Adonis
Sample Selection Bias and Endogeneity in the Estimation of a Wage Equation: An Alternative Specification
Annales de l'INSEE 43 (July-September 1981): 35-46.
Also: http://www.jstor.org/stable/20076419
Cohort(s): Young Men
Publisher: INSEE (Institut National de la Statistique et des Etudes Economiques)
Keyword(s): Educational Attainment; Endogeneity; Schooling; Wage Equations

Permission to reprint the abstract has not been received from the publisher.

This paper re-estimates a model previously estimated by Griliches, Hall, and Hausman in order to determine the effects of introducing additional information. The model contains a wage equation, together with two equations that determine the observed level of schooling. Schooling appears endogenously in the wage equation. Furthermore, account is taken of the sample selection problem that arises because some members of the sample are still in school, so that their wage and desired schooling levels are not observed. The results correspond closely to those previously obtained by Griliches, Hall, and Hausman.
Bibliography Citation
Griliches, Zvi and Adonis Yatchew. "Sample Selection Bias and Endogeneity in the Estimation of a Wage Equation: An Alternative Specification." Annales de l'INSEE 43 (July-September 1981): 35-46.
4. Maddala, G. S.
Selectivity Problems in Longitudinal Data
Annales de l'INSEE 30-31 (April-September 1978): 423-450.
Also: http://www.jstor.org/stable/20075299
Cohort(s): Mature Women, NLSY79, Older Men, Young Men, Young Women
Publisher: INSEE (Institut National de la Statistique et des Etudes Economiques)
Keyword(s): Research Methodology

Permission to reprint the abstract has not been received from the publisher.

In many models using longitudinal data and involving dichotomous or limited dependent variables, ignoring the fact that such data are generated by individuals making choices leads to biased estimators. The present paper deals with this selectivity bias problem. Its purpose is to discuss within a unified framework the various classes of models applicable to these situations, and to discuss the identification and estimation of these models.
Bibliography Citation
Maddala, G. S. "Selectivity Problems in Longitudinal Data." Annales de l'INSEE 30-31 (April-September 1978): 423-450.
5. Shapiro, David
Mott, Frank L.
Labor Force Attachment during the Early Childbearing Years: Evidence from the National Longitudinal Surveys of Young Women
Annales de l'INSEE 30-31 (April-September 1978): 565-598.
Also: http://www.jstor.org/stable/20075304
Cohort(s): Young Women
Publisher: INSEE (Institut National de la Statistique et des Etudes Economiques)
Keyword(s): Career Patterns; Childbearing, Adolescent; Children; Fertility

Permission to reprint the abstract has not been received from the publisher.

This paper presents unique data on labor force attachment of young American women during the periods immediately surrounding the first and second births. In the context of neoclassical labor-supply theory and utilizing both cross-sectional and longitudinal data sets, factors contributing to variations in labor force attachment among these women are examined. The researchers find that the empirical results from the cross-sectional and longitudinal data sets are generally consistent with each other and for the most part supportive of neoclassical labor supply theory.
Bibliography Citation
Shapiro, David and Frank L. Mott. "Labor Force Attachment during the Early Childbearing Years: Evidence from the National Longitudinal Surveys of Young Women." Annales de l'INSEE 30-31 (April-September 1978): 565-598.