sensitive to misspecification and data errors. This sensitivity is addressed by the theory of robust statistics which builds …

A balanced panel of data is used to estimate technical efficiency, employing a fixed-effects stochastic frontier …

We consider estimation of a panel data model where disturbances are spatially correlated in the cross … parameters may be consistently estimated. When the time dimension is small (the usual panel data case), we develop an estimator … to a panel of Indonesian rice farms where spatial correlations represent productivity shock spillovers, based on …

Linear models with error components are widely used to analyze panel data. Some applications of these models require …

Empirical research based on panel data has to pay special attention to measurement errors. Utility maximization often …

We investigate the causes of civil war, using a new data set of wars during 1960-99. We test a `greed’ theory focusing … on the ability to finance rebellion, against a`grievance’ theory focusing on ethnic and religious divisions, political … repression and inequality. We find that greed considerably outperforms grievance. Consistent with the greed theory, both …

In the first half of the paper we study spurious regressions in panel data when the cross-section and time …-based cointegration tests in panel data, because the null distribution of residual-based cointegration tests depends on the asymptotics of … LSDV. In the second half of the paper we study residual-based tests for cointegration regression in panel data. We study …

equation on panel data during the past twenty years, in order to assess which of these changes result from new estimation … methods and changes in the practice of panel data econometrics, and which are "real" and due to the evolution of the economy …