Fixed-Effect Estimation of Highly-Mobile Production Technologies
Revised from November 2006 and July 2007. We consider fixed-effect estimation of a production function where inputs and outputs vary over time, space, and cross-sectional unit. Variability in the spatial dimension allows for time-varying individual effects, without parametric assumptions on the effe...
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ftsyracuseuniv:oai:surface.syr.edu:cpr-1054 2024-09-15T17:59:31+00:00 Fixed-Effect Estimation of Highly-Mobile Production Technologies Horrace, William Clinton Schnier, Kurt E. 2008-01-01T08:00:00Z application/pdf https://surface.syr.edu/cpr/55 https://surface.syr.edu/context/cpr/article/1054/viewcontent/wp87.pdf English eng SURFACE at Syracuse University https://surface.syr.edu/cpr/55 https://surface.syr.edu/context/cpr/article/1054/viewcontent/wp87.pdf Center for Policy Research Panel data time-varying individual effect spatial econometrics fisheries agriculture heteroskedasticity Mathematics text 2008 ftsyracuseuniv 2024-08-09T03:26:01Z Revised from November 2006 and July 2007. We consider fixed-effect estimation of a production function where inputs and outputs vary over time, space, and cross-sectional unit. Variability in the spatial dimension allows for time-varying individual effects, without parametric assumptions on the effects. Asymptotics along the spatial dimension provide consistency and normality of the marginal products. A finite-sample example is provided: a production function for bottom-trawler fishing vessels in the flatfish fisheries of the Bering Sea. We find significant spatial variability of output (catch) which we exploit in estimation of a harvesting function. Text Bering Sea Syracuse University Research Facility And Collaborative Environment (SUrface) |
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Open Polar |
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Syracuse University Research Facility And Collaborative Environment (SUrface) |
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ftsyracuseuniv |
language |
English |
topic |
Panel data time-varying individual effect spatial econometrics fisheries agriculture heteroskedasticity Mathematics |
spellingShingle |
Panel data time-varying individual effect spatial econometrics fisheries agriculture heteroskedasticity Mathematics Horrace, William Clinton Schnier, Kurt E. Fixed-Effect Estimation of Highly-Mobile Production Technologies |
topic_facet |
Panel data time-varying individual effect spatial econometrics fisheries agriculture heteroskedasticity Mathematics |
description |
Revised from November 2006 and July 2007. We consider fixed-effect estimation of a production function where inputs and outputs vary over time, space, and cross-sectional unit. Variability in the spatial dimension allows for time-varying individual effects, without parametric assumptions on the effects. Asymptotics along the spatial dimension provide consistency and normality of the marginal products. A finite-sample example is provided: a production function for bottom-trawler fishing vessels in the flatfish fisheries of the Bering Sea. We find significant spatial variability of output (catch) which we exploit in estimation of a harvesting function. |
format |
Text |
author |
Horrace, William Clinton Schnier, Kurt E. |
author_facet |
Horrace, William Clinton Schnier, Kurt E. |
author_sort |
Horrace, William Clinton |
title |
Fixed-Effect Estimation of Highly-Mobile Production Technologies |
title_short |
Fixed-Effect Estimation of Highly-Mobile Production Technologies |
title_full |
Fixed-Effect Estimation of Highly-Mobile Production Technologies |
title_fullStr |
Fixed-Effect Estimation of Highly-Mobile Production Technologies |
title_full_unstemmed |
Fixed-Effect Estimation of Highly-Mobile Production Technologies |
title_sort |
fixed-effect estimation of highly-mobile production technologies |
publisher |
SURFACE at Syracuse University |
publishDate |
2008 |
url |
https://surface.syr.edu/cpr/55 https://surface.syr.edu/context/cpr/article/1054/viewcontent/wp87.pdf |
genre |
Bering Sea |
genre_facet |
Bering Sea |
op_source |
Center for Policy Research |
op_relation |
https://surface.syr.edu/cpr/55 https://surface.syr.edu/context/cpr/article/1054/viewcontent/wp87.pdf |
_version_ |
1810436612142661632 |