This paper employs the rank-order instrumental variable (IV) procedure of Vella and Verbeek (1997) to estimate the returns to education for Australian youth. The attraction of this approach is that it can account for the endogeneity of schooling in the wage equation via the use of instrumental...

The relationship between two alternative approaches, instrumental variables and control function procedures, for estimating the impact of endogenous treatment effects are examined. Although it is well known that the two approaches generate comparable estimates, the relationship between the...

This paper presents some two-step estimators for a wide range of parametric panel data models with censored endogenous variables and sample selection bias. Our approach is to derive estimates of the unobserved heterogeneity responsible for the endogeneity/selection bias to include as additional...

We address the estimation of sample selection and endogenous treatment models with social interactions. To model the interaction between individuals in an internally consistent matter we employ a game theoretic approach based on the use of a discrete Bayesian game. We overcome the substantial...

This paper estimates the difference in academic performance of the oldest and youngest students in a given grade. We employ Queensland Department of Education school administration panel data for the population of state school students for the years 2008-2016. Academic performance is measured by...

Using a sample of mother-child pairs from the National Longitudinal Survey of Youth 1979 (NLSY79) and the Young Adults of the NLSY79 we explore the relationship between a woman's attitudes towards the role of females in the labor market and the attitudes of her children. We also examine whether...

This article documents the expansion of college education in the United States and examines to what extent the increase in the number of college graduates may have lead to a decline in the average quality of college graduates. Using the 1940-90 Census, we compare across birth year cohorts with...

An important feature of panel data is that it allows the estimation of parameters characterizing dynamics from individual level data. Several authors argue that such parameters can also be identified from repeated cross-section data and present estimators to do so. This paper reviews the...

An important feature of panel data is that it allows the estimation of parameters characterizing dynamics from individual level data. Several authors argue that such parameters can also be identified from repeated cross-section data and present estimators to do so. This paper reviews the...