By examining the impact of capital regulation on bank risk-taking using a local estimation technique, we are able to quantify the heterogeneous response of banks towards this type of regulation in banking sectors of western-type economies. Subsequently, using this information on the bank-level...

In this article, we consider the estimation of semiparametric panel data smooth coefficient models. We propose a class of local generalized method of moments (LGMM) estimators that are simple and easy to implement in practice. We show that the proposed LGMM estimators are consistent and...

This paper develops an empirical framework for estimating a number of inter-firm and downstream research spillovers in the canola crop research industry. The spillovers include basic research, human capital/ knowledge (as measured through other-firm expenditures), and genetics (as measured...

We propose a fairly general individual effects stochastic frontier model, which allows both heterogeneity and inefficiency to change over time. Moreover, our model handles the endogeneity problems if either at least one of the regressors or one-sided error term is correlated with the two-sided...

This paper proposes an alternative estimation procedure for estimating the unobserved effects panel stochastic frontier models with endogenous regressors. Specifically, two-stage estimation method is used, where in the first stage, the frontier parameters are estimated based on GMM procedure,...

This paper examines the effectiveness of advertising in the fast-growing Greek processed meats sector using an unbalanced panel data set of 34 firms during the period 1983-1997. In analysing the relationship between firms' sales and advertising this study differentiates between the type/content...

This paper captures the relative contributions of input growth, technological change and technical efficiency to olive oil production growth for a panel data set of 125 Greek olive-growing farms for the period 1987 to 1993. A flexible generalized quadratic Box-Cox functional form is proposed to...

This paper provides a theoretical explanation for the sensitivity of technical efficiency measures to the choice of functional specification in stochastic production frontier models. It is shown that inappropriate functional specifications translate into a misspecification in the conditional...

This paper examines and compares the technical efficiency measures of Ontario and New York dairy producers for the period 1992 to 1998. A nonparametric stochastic frontier model is introduced to estimate technical efficiency. The backfitting algorithm of Breiman and Friedman is used to estimate...