Coping with unobservables in estimating production functions: An example with US banking data

This paper (i) derives a number of properties of a newly specified multi-input-single-output (MISO) production function with a derived error term, and (ii) using iteratively rescaled generalized least squares, presents estimates of the cross-sectionally varying coefficients of a multi-input-multi-ou...

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Autores principales:	Swamy A.V.B. Paravastu, Peter von zur Muehlen, I-Lok Chang
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Multi-input-single-output (MISO) production Multi-input-multi-output (MIMO) production Inter-bank heterogeneity Consistent estimation Direct effects Indirect effects Environmental sciences GE1-350 Technology T
Acceso en línea:	https://doaj.org/article/17a0a8ceb2b640bb973fd2c8e2538cbd
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spelling	oai:doaj.org-article:17a0a8ceb2b640bb973fd2c8e2538cbd2021-11-18T04:51:48ZCoping with unobservables in estimating production functions: An example with US banking data2666-188810.1016/j.sftr.2021.100058https://doaj.org/article/17a0a8ceb2b640bb973fd2c8e2538cbd2021-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2666188821000174https://doaj.org/toc/2666-1888This paper (i) derives a number of properties of a newly specified multi-input-single-output (MISO) production function with a derived error term, and (ii) using iteratively rescaled generalized least squares, presents estimates of the cross-sectionally varying coefficients of a multi-input-multi-output (MIMO) production function with a derived error term based on newly derived conditions for estimating the total effects of its regressors on its dependent variable, when an unknown number of unobserved inputs is potentially involved in production. The results indicate that for the years 2008, 2009, and 2010, the coefficient estimates do not contain simultaneous-equations biases, bank heterogeneity is not pronounced, and non-transaction accounts turn out to be the dominant input.Swamy A.V.B. ParavastuPeter von zur MuehlenI-Lok ChangElsevierarticleMulti-input-single-output (MISO) productionMulti-input-multi-output (MIMO) productionInter-bank heterogeneityConsistent estimationDirect effectsIndirect effectsEnvironmental sciencesGE1-350TechnologyTENSustainable Futures, Vol 3, Iss , Pp 100058- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Multi-input-single-output (MISO) production Multi-input-multi-output (MIMO) production Inter-bank heterogeneity Consistent estimation Direct effects Indirect effects Environmental sciences GE1-350 Technology T
spellingShingle	Multi-input-single-output (MISO) production Multi-input-multi-output (MIMO) production Inter-bank heterogeneity Consistent estimation Direct effects Indirect effects Environmental sciences GE1-350 Technology T Swamy A.V.B. Paravastu Peter von zur Muehlen I-Lok Chang Coping with unobservables in estimating production functions: An example with US banking data
description	This paper (i) derives a number of properties of a newly specified multi-input-single-output (MISO) production function with a derived error term, and (ii) using iteratively rescaled generalized least squares, presents estimates of the cross-sectionally varying coefficients of a multi-input-multi-output (MIMO) production function with a derived error term based on newly derived conditions for estimating the total effects of its regressors on its dependent variable, when an unknown number of unobserved inputs is potentially involved in production. The results indicate that for the years 2008, 2009, and 2010, the coefficient estimates do not contain simultaneous-equations biases, bank heterogeneity is not pronounced, and non-transaction accounts turn out to be the dominant input.
format	article
author	Swamy A.V.B. Paravastu Peter von zur Muehlen I-Lok Chang
author_facet	Swamy A.V.B. Paravastu Peter von zur Muehlen I-Lok Chang
author_sort	Swamy A.V.B. Paravastu
title	Coping with unobservables in estimating production functions: An example with US banking data
title_short	Coping with unobservables in estimating production functions: An example with US banking data
title_full	Coping with unobservables in estimating production functions: An example with US banking data
title_fullStr	Coping with unobservables in estimating production functions: An example with US banking data
title_full_unstemmed	Coping with unobservables in estimating production functions: An example with US banking data
title_sort	coping with unobservables in estimating production functions: an example with us banking data
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/17a0a8ceb2b640bb973fd2c8e2538cbd
work_keys_str_mv	AT swamyavbparavastu copingwithunobservablesinestimatingproductionfunctionsanexamplewithusbankingdata AT petervonzurmuehlen copingwithunobservablesinestimatingproductionfunctionsanexamplewithusbankingdata AT ilokchang copingwithunobservablesinestimatingproductionfunctionsanexamplewithusbankingdata
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Coping with unobservables in estimating production functions: An example with US banking data

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