This working paper describes the design of KRAM; a model of the Danish agricultural sector that has been developed in a research project at KVL between 1997 and 2000. The purpose of this paper is to give a general and non-technical overview of the model. The paper is directed at people who want...

Four different programming models dealing with the agricultural sectors in Canada, The Netherlands, Sweden and Denmark are analysed. The purpose is to construct a knowledge base for the development of a new sector model for Danish agriculture. This analysis has created a valuable set of...

A service check for a farm is an interesting new way of advising farmers, which has proven very successful. The objective of a service check is to recognise potential improvements in the production using a holistic approach. Often a service check will try to establish the overall goals for the...

This paper outlines a new spatial, nonlinear, programming model of the agricultural sector in Denmark. The KRAM model (KVL's Rationalized Agricultural Model) optimizes production functions on a very disaggregated level, allowing for analysis of changes in physical constraints to production, as...

This paper outlines a new spatial, nonlinear, programming model of the agricultural sector in Denmark. The KRAM model (KVL's Rationalized Agricultural Model) optimizes production functions on a very disaggregated level, allowing for analysis of changes in physical constraints to production, as...

All agricultural sector models must deal with aggregation and calibration somehow. The aggregation problem involves treating a group of producers as if they all responded in the same way as a single representative unit. The calibration problem concerns making a model reproduce as closely as...

Permutation techniques, where one recompute the test statistic over permutations of data, have a long history in statistics and have become increasingly useful as the availability of computational power has increased. Until now, no permutation tests for examining returns to scale assumptions,...

Inference about productivity change over time based on data envelopment (DEA) has focused primarily on the Malmquist index and is based on asymptotic properties of the index. In this paper we propose a novel set of significance tests for DEA based productivity change measures based on...