This paper reports the results of a series of Monte Carlo exercises to contrast the forecasting performance of several panel data esti- mators, divided into three main groups (homogeneous, heterogeneous and shrinkage/Bayesian). The comparison is done using di¤erent lev- els of heterogeneity,...

This paper processes copula-based tests for testing cross-sectional independence of panel models.

We consider vertical price restrictions like Recommended Retail Prices (RRP) and Resale Price Maintenance (RPM), together with a retailer’s unit discount when purchasing the good from the manufacturer. We study how retailer’s buyer power affects the nature of the vertical price restriction...

The asymptotic t-test for the long-run average in a heterogeneous nonstationary panel model is derived. The asymptotics of the Least Squares Dummy Variable (LSDV) and of the Pooled-OLS (POLS) estimators for the slope parameter are studied under various circumstances (serial correlation, strong...

Building upon the work of Chen et al. (2010), this paper proposes a test for sphericity of the variance–covariance matrix in a fixed effects panel data regression model without the normality assumption on the disturbances.

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...

This paper studies the asymptotic properties of standard panel data estimators in a simple panel regression model with error component disturbances. Both the regressor and the remainder disturbance term are assumed to be autoregressive and possibly non-stationary. Asymptotic distributions are...

This note analyzes the asymptotic distribution for instrumental variables regression for panel data when the available instruments are weak. We show that consistency can be established in panel data.