Evaluating Alternative Techniques for Forecasting Industrial and Occupational Employment

This paper offers three different regional output-by-industry forecasting techniques (time series, Social Accounting Matrix (SAM)-based, and Computable General Equilibrium (CGE)-based) and two different occupation-by-industry matrices (national and state geographies) for use in the creation of indus...

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Main Author:	Varnado, Drew A
Other Authors:	Keithly, Walter
Format:	Others
Language:	en
Published:	LSU 2014
Subjects:	Agricultural Economics & Agribusiness
Online Access:	http://etd.lsu.edu/docs/available/etd-04092014-110652/

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spelling	ndltd-LSU-oai-etd.lsu.edu-etd-04092014-1106522014-07-31T03:50:30Z Evaluating Alternative Techniques for Forecasting Industrial and Occupational Employment Varnado, Drew A Agricultural Economics & Agribusiness This paper offers three different regional output-by-industry forecasting techniques (time series, Social Accounting Matrix (SAM)-based, and Computable General Equilibrium (CGE)-based) and two different occupation-by-industry matrices (national and state geographies) for use in the creation of industry/occupation employment forecasts. Estimates are compared to actual data from eight years from 2001 to 2010. OLS regressions are run to determine how well modeled employment estimates fit actual employment for the state of Louisiana. A meta-analysis style regression of the R-sqaured values on model characteristics (accounted for using Boolean dummy-variables) determines that industrial output forecasting techniques do not provide statistically different R-squared values, but that models which use the state level occupation-by-industry matrix constructed for this paper should expect a statistically higher (by about 3.5%) R-squared value. Keithly, Walter Mishra, Ashok Fannin, J. Matthew Kazmierczak, Richard Grove, Ann LSU 2014-07-30 text application/pdf http://etd.lsu.edu/docs/available/etd-04092014-110652/ http://etd.lsu.edu/docs/available/etd-04092014-110652/ en unrestricted I hereby certify that, if appropriate, I have obtained and attached herein a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to LSU or its agents the non-exclusive license to archive and make accessible, under the conditions specified below and in appropriate University policies, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report.
collection	NDLTD
language	en
format	Others
sources	NDLTD
topic	Agricultural Economics & Agribusiness
spellingShingle	Agricultural Economics & Agribusiness Varnado, Drew A Evaluating Alternative Techniques for Forecasting Industrial and Occupational Employment
description	This paper offers three different regional output-by-industry forecasting techniques (time series, Social Accounting Matrix (SAM)-based, and Computable General Equilibrium (CGE)-based) and two different occupation-by-industry matrices (national and state geographies) for use in the creation of industry/occupation employment forecasts. Estimates are compared to actual data from eight years from 2001 to 2010. OLS regressions are run to determine how well modeled employment estimates fit actual employment for the state of Louisiana. A meta-analysis style regression of the R-sqaured values on model characteristics (accounted for using Boolean dummy-variables) determines that industrial output forecasting techniques do not provide statistically different R-squared values, but that models which use the state level occupation-by-industry matrix constructed for this paper should expect a statistically higher (by about 3.5%) R-squared value.
author2	Keithly, Walter
author_facet	Keithly, Walter Varnado, Drew A
author	Varnado, Drew A
author_sort	Varnado, Drew A
title	Evaluating Alternative Techniques for Forecasting Industrial and Occupational Employment
title_short	Evaluating Alternative Techniques for Forecasting Industrial and Occupational Employment
title_full	Evaluating Alternative Techniques for Forecasting Industrial and Occupational Employment
title_fullStr	Evaluating Alternative Techniques for Forecasting Industrial and Occupational Employment
title_full_unstemmed	Evaluating Alternative Techniques for Forecasting Industrial and Occupational Employment
title_sort	evaluating alternative techniques for forecasting industrial and occupational employment
publisher	LSU
publishDate	2014
url	http://etd.lsu.edu/docs/available/etd-04092014-110652/
work_keys_str_mv	AT varnadodrewa evaluatingalternativetechniquesforforecastingindustrialandoccupationalemployment
_version_	1716709767527792640

Evaluating Alternative Techniques for Forecasting Industrial and Occupational Employment

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