Stochastic production frontier models are used extensively in the agricultural and resource economics literature to estimate production functions and technical efficiency, as well as to guide policy. Traditionally these models assume that each agent's production can be specified as a...

This paper examines the transition effects of population aging in more developed regions that is also expected to occur in developing regions in the near future. We address these effects by exploring the influences of internationally mobile capital and a politically responsive fiscal policy in a...

There is a growing resource economics literature, concerning the estimation of the technical efficiency of fishing vessels utilizing the stochastic frontier model. In these models, vessel output is regressed on a linear function of vessel inputs and a random composed error. Using parametric...

Revised from November 2006 and July 2007. We consider fixed-effect estimation of a production function where inputs and outputs vary over time, space, and cross-sectional unit. Variability in the spatial dimension allows for time-varying individual effects, without parametric assumptions on the...

Studies of industrial safety regulations, Occupational Safety and Health Administration (OSHA) in particular, often find little effect on worker safety. Critics of the regulatory approach argue that safety standards have little to do with industrial injuries and defenders of the regulatory...

This paper makes two contributions to the empirical literature on agglomeration economies. First, the paper uses a unique and rich database in conjunction with mapping software to measure the geographic extent and nature of agglomerative externalities. Previous papers have been forced to assume...

We document the existence of a gubernatorial election cycle in state executions, suggesting that election year political considerations play a role in determining the timing of executions. Our analysis indicates that states are approximately 25 percent more likely to conduct executions in...

This paper prooses a generalized panel data model with random effects and first-order spatially autocorrelated residuals that encompasses two previously suggested specifications. The first one is described in Anselin's (1988) book and the second one by Kapoor, Kelejian, and Prucha (2007). Our...

We use a stochastic production frontier model to investigate the presence of heterogeneous production and its impact on fleet capacity and capacity utilization in a multi-species fishery. Furthermore, we propose a new fleet capacity estimate that incorporates complete information on the...

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...