Health and Wages - Panel data estimates considering selection and endogeneity

Arbeitspapier

This paper investigates the effects of health on wages by controlling for a number of problems: first, the unobservable genetic endowment may cause an omitted variable bias; second, using a self-reported health variable could induce measurement error; third, the issue of reverse causality arises; and fourth, panel attrition driven by the endogenous decision to participate in the labour market may result in inconsistent estimation. By using recently developed methods, I control for all of the above issues in one framework. The results show that good health raises wages for both women and men. I find the health variable to suffer from measurement error. In the male sample, applying OLS or 2SLS, instead of methods accounting for selection and individual heterogeneity, causes an upward bias in the health coefficient.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: ifo Working Paper ; No. 43

Classification and Topics

• Classification: Wirtschaft ; Multiple or Simultaneous Equation Models: Panel Data Models; Spatio-temporal Models ; Multiple or Simultaneous Equation Models: Truncated and Censored Models; Switching Regression Models ; Health: General ; Particular Labor Markets: General
• Subject: Health ; wages ; fixed effects ; sample selection ; instrumental variables

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Jäckle, Robert
• Event: Veröffentlichung
• (who): ifo Institute - Leibniz Institute for Economic Research at the University of Munich
• (where): Munich
• (when): 2007

Further information

• Handle: http://hdl.handle.net/10419/73754
• Last update: 10.03.2025, 11:42 AM CET