It is well known that the standard Breusch and Pagan (1980) LM test for cross-equation correlation in a SUR model is not appropriate for testing cross-sectional dependence in panel data models when the number of cross-sectional units (n) is large and the number of time periods (T) is small. In...

Leonard E. Burman, Daniel Patrick Moynihan Professor of Public Affairs, at the Maxwell School of Syracuse University,presented testimony on “Tax Reform and the Tax Treatment of Capital Gains” before the House Committee on Ways and Means and the Senate Committee on Finance, September 20,...

We propose a test for the stability over time of the covariance matrix of multivariate time series. The analysis is extended to the eigensystem to ascertain changes due to instability in the eigenvalues and/or eigenvectors. Using strong Invariance Principle and Law of Large Numbers, we normalize...

An extensive literature that examines the relationship between family structure and children’s outcomes consistently shows that living with a single parent is associated with negative outcomes. Few studies, however, directly test the relationship between family structure and outcomes for the...

This paper presents wage curves for formal and informal workers using a rich individual level data for Turkey over the period 2005-2009. The wage curve is an empirical regularity describing a negative relationship between regional unemployment rates and individuals' real wages. While this...

This paper suggests a robust Hausman and Taylor (1981) estimator, here-after HT, that deals with the possible presence of outliers. This entails two modifications of the classical HT estimator. The first modification uses the Bramati and Croux (2007) robust Within MS estimator instead of the...

This paper derives a 3SLS estimator for a simultaneous system of spatial autoregressive equations with random effects, which can therefore handle endoegeneity, spatial lag dependence, heterogeneity as well as cross equation correlation. This is done by utilizing the Kelejian and Prucha (1998)...

This paper considers a Hausman and Taylor (1981) panel data model that exhibits a Cliff and Ord (1973) spatial error structure. We analyze the small sample properties of a generalized moments estimation approach for that model. This spatial Hausman-Taylor estimator allows for endogeneity of the...

The robustness of the LM tests for spatial error dependence of Burridge (1980) and Born and Breitung (2011) for the linear regression model, and Anselin (1988) and Debarsy and Ertur (2010) for the panel regression model with random or fixed effects are examined. While all tests are...