The previous literature on the determinants of individual well-being has failed to fully account for the interdependencies in well-being at the family level. This paper develops an ordered probit model with multiple random effects that allows to identify the intrafamily correlation in...

The estimation of regressions models with two-way error component disurbances, is considered for the case where both the random effects are non-spherically distributed. The usual approach that first transforms the effects into uncorrelated ones and then applies within and between...

This study utilizes a panel data set from 14 European countries over the period 1990-2004 to estimate a dynamic model specification for gasoline and diesel demand. Previous studies estimating gasoline consumption per total passenger cars ignore the recent increase in the number of diesel cars in...

This paper proposes simple tests to detect dynamic and random effects in linear panel data models, in the form of lagged dependent variables and random effects. We use the analytical framework of Bera and Yoon (1993) to derive tests for the presence of random effects, lagged dependent variables,...

Mundlak (1978) showed that when individual effects are correlated with the explanatory variables in an error component (EC) model, the GLS estimator is given by the within. In this paper we bring out some additional interesting properties of the within estimator in Mundlak’s model and go on to...

This article develops a measure of efficiency to use with aggregated data. Unlike the most commonly used efficiency measures, our estimator adjusts for the heteroskedasticity created by aggregation. Our estimator is compared to estimators currently used to measure school efficiency. Theoretical...

This paper considers a general heteroskedastic error component model using panel data, and derives a joint LM test for homoskedasticity against the alternative of heteroskedasticity in both error components. It contrasts this joint LM test with marginal LM tests that ignore the...

This note considers a panel data regression model with spatial autoregressive disturbances and random effects where the weight matrix is normalized and has equal elements. This is motivated by Kelejian et al. (2005), who argue that such a weighting matrix, having blocks of equal elements, might...

In a simultaneous equations with error components framework, we analyze the institutions-growth relationship. We address individual heterogeneity in cross-country production functions, and endogeneize factor inputs in order to disentangle the direct and indirect effects of institutions on...