The paper investigates the validity of Gibrat's Law in Hungarian agriculture. Employing various specifications including OLS, two-step Heckman model and quantile regressions our results strongly reject Gibrats Law for full sample. Estimations suggest that small farms tend to grow faster than...

The objective of this paper is to explore the determinants to leave agriculture and change occupational sector. We adopt a 3-step multivariate probit where we control for selection bias at two stages in the decisions to work and, at a later stage, exit agriculture. The analysis is based on the...

This article is concerned with the methodological question of frontier production functions estimation for agriculture, and the appropriateness of regression quantiles, as a useful semi-parametric approach. Better insights are reached using the proposed methodology that provides robust farm...

This article is concerned with the methodological question of frontier production functions estimation for agriculture, and the appropriateness of regression quantiles, as a useful semi-parametric approach. Better insights are reached using the proposed methodology that provides robust farm...

A stochastic computer simulation model is used to estimate disaster payments under the Agriculture and Consumer Protection Act of 1973. The model uses a random yield generator and actuarial techniques. Simulated payments under 1976 program parameters and stochastic yields are estimated at $300...

This paper examines the effects of farm characteristics and government policies in enhancing productivity growth for a sample of Greek farms, using a two-stage procedure. In the 1st-stage, non-parametric estimates of Malmquist index and its decompositions are computed, while a bootstrapping...

This paper investigates the dynamics of sequential decision-making in agricultural futures andoptions markets using a quantile regression framework. Analysis of trading records of 12 traderssuggests that there is great heterogeneity in individual trading behavior. Traders responddifferently to...

We study the determinants of somatic cell count (SCC) for fluid milk among U.S. dairies. We synthesize much of the work that has been done to model SCC economically in order to identify the potential impacts of buyer-imposed penalties and incentives within the supply chain. Additionally we...

This paper investigates the dynamics of sequential decision-making in agricultural futures and options markets using a quantile regression framework. Analysis of trading records of 12 traders suggests that there is great heterogeneity in individual trading behavior. Traders respond differently...