Southeast Asian Agriculture Returns to Scale: Inferences from Cumulative Rolling Stochastic Frontier Analysis

In this paper, we estimate the time-varying betas or input elasticities and returns to scale in a stochastic frontier cumulative rolling regression analysis framework using FAO data of Southeast Asian countries from 1960-2002. Empirical results indicated returns to scale are overestimated by pooled and panel models relative to stochastic frontier models without accounting for technical inefficiencies. Second, the time-varying estimates of betas or input elasticities and returns to scale indicate variations not only between the models but also over time.


Issue Date:
2007
Publication Type:
Conference Paper/ Presentation
PURL Identifier:
http://purl.umn.edu/9687
Total Pages:
25
Series Statement:
Selected Paper




 Record created 2017-04-01, last modified 2017-08-23

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