This paper considers maximum likelihood estimation and inference in the two-way random effects model with serial correlation. We derive a straightforward maximum likelihood estimator when the time-specific component follow an AR(1) or MA(1) process. The estimator is easily generalized to...

We propose four different GMM estimators that allow almost consistent estimation of the structural parameters of panel probit models with fixed effects for the case of small T and large N. The moments used are derived for each period from a first order approximation of the mean of the dependent...

The Generalized Method of Moments (GMM) is discussed for handling the joint occurrence of fixed effects and random measurement errors in an autoregressive panel data model. Finite memory of disturbances, latent regressors and measurement errors is assumed. Two specializations of GMM are...

We propose four different GMM estimators that allow almost consistent estimation of the structural parameters of panel probit models with fixed effects for the case of small T and large N. The moments used are derived for each period from a first order approximation of the mean of the dependent...

Unit specific effects are often used to estimate non-spatial efficiency. We extend such estimators to the case where there is spatial autoregressive dependence and introduce the concept of spillover efficiency. Intuitively, we present an approach to benchmark how successful units are at...

Existing studies of risk pooling among groups of countries are predicated upon the highly restrictive assumption that all countries have symmetric responses to aggregate shocks. We show that the conventional risk sharing test fails to isolate idiosyncratic fluctuations within countries and...

We propose four different GMM estimators that allow almost consistent estimation of the structural parameters of panel probit models with fixed effects for the case of small T and large N. The moments used are derived for each period from a first order approximation of the mean of the dependent...

We propose four different GMM estimators that allow almost consistent estimation of the structural parameters of panel probit models with fixed effects for the case of small T and large N. The moments used are derived for each period from a first order approximation of the mean of the dependent...

A panel data method is used to evaluate the impact of the Closer Economic Partnership Agreement (CEPA) signed between Mainland China and Hong Kong. Using the time series data of Hong Kong, Austria, Denmark, Finland, France, Germany, Italy, Japan, Korea, Netherlands, Norway, Singapore, Taiwan,...

International risk sharing has been among the most actively researched areas of macroeconomics for the last two decades. Empirical contributions in this field make extensive use of so called "consumption insurance" tests evaluating the extent to which idiosyncratic shocks in income get...