This paper considers the problem of testing cross-sectional correlation in large panel data models with serially-correlated errors. It finds that existing tests for cross-sectional correlation encounter size distortions with serial correlation in the errors. To control the size, this paper...

Nonlinear filtering techniques and the quasi maximum likelihood estimator (QMLE) are applied to the problem of estimating the parameters of quadratic models for the term structure of interest rates. It is assumed that zero coupon bond yields data have been contaminated by noise, which allows the...

This paper considers methods of estimating a static correlated random coefficient model with panel data. We mainly focus on comparing two approaches of estimating unconditional mean of the coefficients for the correlated random coefficients models, the group mean estimator and the generalized...

We consider mean-reverting stochastic processes and build a self- consistent model for forward price dynamics and their applications in power industries. This model with stochastic volatility of the forward price is built using the ideas and equations of stochastic differential geometry in order...

This paper provides a new statistical model for repeated voluntary contribution mechanism games. In a repeated public goods experiment, contributions in the first round are cross-sectionally independent simply because subjects are randomly selected. Meanwhile, contributions to a public account...

The vast majority of spatial econometric research relies on the assumption that the spatial network structure is known a priori. This study considers a two-step estimation strategy for estimating the n(n..1) interaction effects in a spatial autoregressive panel model where the spatial dimension...

In this paper a Cobb-Douglas utility function is introduced and solved for a dynamic equation of property crime supply and its determinants, namely deterrents and income. Thereafter, all variables are empirically tested, by means of a simultaneous equations model, for the sign and magnitude of...

Many production processes yield both good outputs and undesirable ones (e.g. pollutants). In this paper, we develop a generalization of a stochastic frontier model which is appropriate for such technologies. We discuss efficiency analysis and, in particular, define technical and environmental...