FARM-LEVEL DATA MODEL FOR AGRICULTURAL POLICY ANALYSIS: A TWO-WAY ECM APPROACH
Paolo Sckokai (),
Daniele Moro and
Silvia Platoni ()
No 6693, 107th Seminar, January 30-February 1, 2008, Sevilla, Spain from European Association of Agricultural Economists
Econometric models wishing to estimate relevant parameters for agricultural policy analysis are increasingly relying on unbalanced panels of farm-level data. Since in the agricultural economics literature such models have often been estimated through simplified approaches, in this paper we try to verify whether the adoption of more sophisticated panel data techniques may impact the estimation results. For this reason, the policy model by Moro and Sckokai (1999) has been re-estimated using techniques recently developed in the econometric literature. The preliminary results show a strong impact on the estimations. This seems to suggest that the adoption of proper panel-data techniques is likely to be very important in order to obtain reliable estimates of some key policy parameters.
Keywords: Agricultural and Food Policy; Research Methods/ Statistical Methods (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2) Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:ags:eaa107:6693
Access Statistics for this paper
More papers in 107th Seminar, January 30-February 1, 2008, Sevilla, Spain from European Association of Agricultural Economists Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().