Crop succession requirements in agricultural production planning

W.K. Klein Haneveld and A.W. Stegeman
Additional contact information
A.W. Stegeman: Groningen University

No 03A29, Research Report from University of Groningen, Research Institute SOM (Systems, Organisations and Management)

Abstract: This paper hammers out the estimation of a fixed effects dynamic panel data model extended either to include spatial error autocorrelation or a spatially lagged dependent variable. To overcome the inconsistencies associated with the traditional least squares dummy estimator, the models are first-differenced to eliminate the fixed effects and then the unconditional likelihood function is derived taking into account the density function of the first-differenced observations on each spatial unit. When exogenous variables are omitted, the exact likelihood function of both models is found to exist. When exogenous variables are included, the presample values of these variables and thus the likelihood function must be approximated. Two leading cases are considered: the Bhargava and Sargan approximation and the Nerlove and Balestra approximation. As an application, a dynamic demand model for cigarettes is estimated based on panel data from 46 American states over the period 1963 to 1992.

Date: 2003
References: Add references at CitEc
Citations:

Downloads: (external link)
http://irs.ub.rug.nl/ppn/252306228 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gro:rugsom:03a29

Access Statistics for this paper

More papers in Research Report from University of Groningen, Research Institute SOM (Systems, Organisations and Management) Contact information at EDIRC.
Bibliographic data for series maintained by Hanneke Tamling (h.g.tamling@rug.nl).