Proxy variable estimation of productivity and efficiency.
We model productivity and inefficiency jointly, instead of modeling and estimating either only productivity or only inefficiency with many variable and quasi‐fixed inputs. In the first model, we use a multi‐step procedure. We use the proxy variable method based on the first‐order condition (FOC) of...
| Publicado en: | Southern Economic Journal Vol. 89; no. 3; pp. 885 - 924 |
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| Autores principales: | , |
| Formato: | Artículo |
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Wiley-Blackwell
Jan2023
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=161525199&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 161525199 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00384038 SEJ jtl: Southern Economic Journal issn: 00384038 maglogo: N pubinfo: dt: Jan2023 vid: 89 iid: 3 pid: 480 pub: Wiley-Blackwell artinfo: ui: 161525199 10.1002/soej.12608 ppf: 885 ppct: 39 formats: fmt: – @attributes: type: T – @attributes: type: C – @attributes: type: P size: 5.2MB tig: atl: Proxy variable estimation of productivity and efficiency. aug: au: Tsionas, Mike G. Kumbhakar, Subal C. affil: Department of Economics, Montpellier Business School, Montpellier, France & Lancaster University Management School, Lancaster, UK Department of Economics, State University of New York, Binghamton & Inland Norway University of Applied Sciences, Lillehammer, Norway su: Food industry Profit maximization Set functions Endogeneity (Econometrics) sug: subj: Food industry Perishable Prepared Food Manufacturing All Other Miscellaneous Food Manufacturing Profit maximization Set functions Endogeneity (Econometrics) keyword: endogeneity inefficiency productivity stochastic frontiers variable inputs endogeneity inefficiency productivity stochastic frontiers variable inputs ab: We model productivity and inefficiency jointly, instead of modeling and estimating either only productivity or only inefficiency with many variable and quasi‐fixed inputs. In the first model, we use a multi‐step procedure. We use the proxy variable method based on the first‐order condition (FOC) of expected profit maximization with respect to the single variable input to take care of the endogeneity problem arising from both productivity and inefficiency. To separate mean inefficiency from mean productivity we assume them nonparametric functions of different sets of exogenous variables. In the second model, we consider a novel system consisting of the production function and the FOCs of expected profit maximization for the multiple variable inputs. Distributional assumptions are made on all the random errors associated with the production function, the FOCs, productivity, and inefficiency functions in the second model. We use the Colombian food manufacturing data as an application of our model. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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