The study is devoted to the comparative static analysis and econometric estimation of farm household decisions under both standard and agricultural taxes. Accounting for labor market constraints a non-separable model is constructed implying increasing per-unit costs of accessing labor markets....

The Constant Elasticity of Substitution (CES) function is popular in several areas of economics, but it is rarely used in econometric analysis because it cannot be estimated by standard linear regression techniques. We discuss several existing approaches and propose a new grid-search approach...

The aim of this study was to develop and evaluate models for predicting the carcass composition of lambs. Forty male lambs of two different breeds were included in our analysis. The lambs were slaughtered and their hot carcass weight was obtained. After cooling for 24 hours, the subcutaneous fat...

In this paper, we present a theoretical model for adjustment costs and investment utilisation that illustrates their causes and types and shows in which phases of an investment they occur. Furthermore, we develop an empirical framework for analysing the size and the timing of adjustment costs...

Community-based poultry health management (CBM) is a strategy for village poultry improvement based on the installment of "poultry interest groups" in experimental villages. These groups serve as a channel for the dissemination of village poultry improvement technologies. The use of CBM is due...

Community-based management (CBM) of village poultry aims to foster development and reduce poverty in Benin by disseminating five technologies for improving village poultry farming. We develop a theoretical model to analyze multiple technology adoption decisions that takes into account the...

We investigate and compare the suitability of parametric and non-parametric stochastic regression methods for analysing production technologies and the optimal firm size. Our theoretical analysis shows that the most commonly used functional forms in empirical production analysis, Cobb-Douglas...

We discuss nonparametric regression models for panel data. A fully nonparametric panel data specification that uses the time variable and the individual identifier as additional (categorical) explanatory variables is considered to be the most suitable. We use this estimator and conventional...

We apply nonparametric panel data kernel regression to investigate production risk, out-put price uncertainty, and risk attitudes of Polish dairy farms based on a firm-level unbalanced panel data set that covers the period 2004–2010. We compare different model specifications and different...

In the estimation of multiple output technologies in a primal approach, the main question is how to handle the multiple outputs. Often an output distance function is used, where the classical approach is to exploit its homogeneity property by selecting one output quantity as the dependent...