Fixed-Effect Estimation of Highly-Mobile Production Technologies
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 dimensi...
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ftsyracuseuniv:oai:surface.syr.edu:ecn-1025 2023-05-15T15:43:33+02:00 Fixed-Effect Estimation of Highly-Mobile Production Technologies Horrace, William C Schnier, Kurt E. 2008-04-01T07:00:00Z application/pdf https://surface.syr.edu/ecn/136 https://surface.syr.edu/cgi/viewcontent.cgi?article=1025&context=ecn unknown SURFACE at Syracuse University https://surface.syr.edu/ecn/136 https://surface.syr.edu/cgi/viewcontent.cgi?article=1025&context=ecn Economics - Faculty Scholarship tbd Economics text 2008 ftsyracuseuniv 2022-01-09T19:20:51Z 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) Bering Sea |
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Syracuse University Research Facility And Collaborative Environment (SUrface) |
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ftsyracuseuniv |
language |
unknown |
topic |
tbd Economics |
spellingShingle |
tbd Economics Horrace, William C Schnier, Kurt E. Fixed-Effect Estimation of Highly-Mobile Production Technologies |
topic_facet |
tbd Economics |
description |
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 C Schnier, Kurt E. |
author_facet |
Horrace, William C Schnier, Kurt E. |
author_sort |
Horrace, William C |
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/ecn/136 https://surface.syr.edu/cgi/viewcontent.cgi?article=1025&context=ecn |
geographic |
Bering Sea |
geographic_facet |
Bering Sea |
genre |
Bering Sea |
genre_facet |
Bering Sea |
op_source |
Economics - Faculty Scholarship |
op_relation |
https://surface.syr.edu/ecn/136 https://surface.syr.edu/cgi/viewcontent.cgi?article=1025&context=ecn |
_version_ |
1766377730762342400 |