Comparing ols and rank-based estimation techniques for production analysis: An application to Ghanaian maize farms.

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dc.contributor.authorDe-Graft Acquah, Henry
dc.date.accessioned2021-06-28T11:16:04Z
dc.date.available2021-06-28T11:16:04Z
dc.date.issued2016-12-31
dc.description.abstractThis paper introduces the rank-based estimation method to modelling the Cobb-Douglas production function as an alternative to the least squares approach. The intent is to demonstrate how a nonparametric regression based on a rank-based estimator can be used to estimate a Cobb-Douglas production function using data on maize production from Ghana. The nonparametric results are compared to common parametric specification using the ordinary least squares regression. Results of the study indicate that the estimated coefficients of the CobbDouglas Model using the Least squares method and the rank-based regression analysis are similar. Findings indicated that in both estimation techniques, land and Equipment had a significant and positive influence on output whilst agrochemicals had a significantly negative effect on output. Additionally, seeds which also had a negative influence on output was found to be significant in the robust rank-based estimation, but insignificant in the ordinary least square estimation. Both the least squares and rank-based regression suggest that the farmers were operating at an increasing returns to scale. In effect this paper demonstrate the usefulness of the rank-based estimation in production analysis. JEL CODE: Q18, D24, Q12, C1 and C67en
dc.formatapplication/pdf
dc.identifier.citationApplied Studies in Agribusiness and Commerce, Vol. 10 No. 4-5 (2016) , 125-130
dc.identifier.doihttps://doi.org/10.19041/APSTRACT/2016/4-5/16
dc.identifier.eissn1789-7874
dc.identifier.issn1789-221X
dc.identifier.issue4-5
dc.identifier.jatitleAPSTRACT
dc.identifier.jtitleApplied Studies in Agribusiness and Commerce
dc.identifier.urihttps://hdl.handle.net/2437/317800en
dc.identifier.volume10
dc.languageen
dc.relationhttps://ojs.lib.unideb.hu/apstract/article/view/6897
dc.rights.accessOpen Access
dc.rights.ownerUniversity of Debrecen, Faculty of Economics and Business, Hungary
dc.subjectProduction functionen
dc.subjectparametric and non-parametric regressionen
dc.subjectrank-based estimationen
dc.subjectordinary least squares estimationen
dc.titleComparing ols and rank-based estimation techniques for production analysis: An application to Ghanaian maize farms.en
dc.typefolyóiratcikkhu
dc.typearticleen
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