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The purpose of this paper is to analyse the effect that weather variables have on the mean and variance of the yields of barley, oats, potatoes and wheat in Scotland, during the period 1935- 2012. Although theoretically grounded on the stochastic production function approach, the paper uses the generalised autoregressive conditional heteroskedastic (GARCH) to model the variance of the crop yields. Results indicate that temperature has a positive effect on the mean yield, whilst rainfall has a negative effect on it. In addition, both temperature and rainfall have differentiated results on the crop yields’ variances.

Keywords: Scottish agriculture ; climate change impact ; weather ; GARCH models

Subject(s): Demand and Price Analysis

Issue Date: 2014-08

Publication Type: Conference Paper/ Presentation

PURL Identifier: http://purl.umn.edu/183034

Total Pages: 6

Record appears in: European Association of Agricultural Economists (EAAE) > 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia





Autor: Revoredo-Giha, Cesar ; Gaupp, Franziska

Fuente: http://ageconsearch.umn.edu/record/183034?ln=en







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