A hierarchical Bayesian factor model for multivariate spatially and temporally correlated data is proposed. This method searches scores incorporating a dependence within observations due to both geographical temporal structure it an extension of proposed by Mezzetti (2012) using the results separable covariance matrix spatial panel as in Leorato (2016). Gibbs sampling algorithm implemented samp...

This article considers a semiparametric spatial autoregressive (SAR) panel data model with fixed effects and time-varying coefficients. The coefficients are allowed to follow unknown functions of time, while the other parameters assumed be constants. We propose local linear quasi-maximum likelihood estimation method obtain consistent estimators for SAR coefficient, variance error term, nonparam...

We present a new approach for the empirical investigation of agglomeration patterns. We examine the clustering of manufacturing firms by identifying patterns of spatial network formation that deviate from randomly generated networks. Using firm-level panel data from Vietnam we calculate transitivity, a measure to determine the strength of clustering of manufacturing firms. We then test whether ...

This paper investigates the determinants of tourism inflows to Greece. The significance of the specific sector for the Greek economy varies from 15% to 20% of GDP (measured directly or indirectly respectively). Building on the existing literature, panel data estimation techniques are used, with explanatory variables including selected macroeconomic indicators and (relative) price indices. The m...

This article examines the compensation of top managers of nonprofits in the United States using panel data from tax returns of the organizations from 1992 to 1996. Studying managers in nonprofits is particularly interesting given the difficulty in measuring performance. The article examines many areas commonly studied in the executive pay (within for-profit firms) literature. It explores pay di...

Many econometric analyses have attempted to model medal winnings as dependent on per capita GDP and population size. This approach ignores the size and composition of the team of athletes, especially the role of female participation and the role of sports culture, and also provides an inadequate explanation of the variability between the outcomes of countries with similar features. This paper p...