{"data":{"id":"10.7910/dvn/aqhtdh","type":"dois","attributes":{"doi":"10.7910/dvn/aqhtdh","prefix":"10.7910","suffix":"dvn/aqhtdh","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Maiti, Abhradeep","nameType":"Personal","givenName":"Abhradeep","familyName":"Maiti","affiliation":["Indian Institute of Management Kashipur"],"nameIdentifiers":[]},{"name":"Indra, Debarshi","nameType":"Personal","givenName":"Debarshi","familyName":"Indra","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Labor Demand Elasticity Measures for US Counties by Industries"}],"publisher":"Harvard Dataverse","container":{},"publicationYear":2016,"subjects":[{"subject":"Business and Management"},{"subject":"FOS: Economics and business","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Law"},{"subject":"FOS: Law","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Social Sciences"},{"subject":"Labor Demand Elasticity in the US"}],"contributors":[{"name":"Maiti, Abhradeep","nameType":"Personal","givenName":"Abhradeep","familyName":"Maiti","affiliation":["Indian Institute of Management Kashipur"],"contributorType":"ContactPerson","nameIdentifiers":[]},{"name":"Indra, Debarshi","nameType":"Personal","givenName":"Debarshi","familyName":"Indra","contributorType":"ContactPerson","affiliation":[],"nameIdentifiers":[]}],"dates":[{"date":"2016-04-04","dateType":"Submitted"},{"date":"2016-07-17","dateType":"Available"},{"date":"2016-07-17","dateType":"Updated"},{"date":"2016","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"HasPart","relatedIdentifier":"10.7910/dvn/aqhtdh/n3aatq","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["518866"],"formats":["text/csv"],"version":"1.1","rightsList":[{"rightsUri":"info:eu-repo/semantics/openAccess"},{"lang":"en","rights":"Creative Commons Zero v1.0 Universal","rightsUri":"https://creativecommons.org/publicdomain/zero/1.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc0-1.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"This dataset comes from the study \"REGIONAL VARIATIONS IN LABOR DEMAND ELASTICITY: EVIDENCE FROM U.S. COUNTIES\" by Abhradeep Maiti and Debarshi Indra (Journal of Regional Science. doi: 10.1111/jors.12265). The file contains the estimated labor demand elasticity for various industry groups across US counties.","descriptionType":"Abstract"},{"description":"Maiti, A. and Indra, D. (2016), REGIONAL VARIATIONS IN LABOR DEMAND ELASTICITY: EVIDENCE FROM U.S. COUNTIES. Journal of Regional Science. doi: 10.1111/jors.12265 \r\n\r\nWe use a large panel dataset covering the period 1988–2010 to estimate county specific own-wage elasticity of labor demand in the U.S. for four highly aggregated industries: construction, finance/insurance/real-estate/service, manufacturing, and retail trade. Our estimation of a random parameter panel data model yields significant evidence of spatial variations in wage elasticity of labor demand. We relate the spatial variation in elasticity to differences in county characteristics like industry specialization, industry competition, levels of natural amenity and urbanization. Using a regression discontinuity approach we also find that pro-business states have higher labor demand elasticity.","descriptionType":"Other"}],"geoLocations":[],"fundingReferences":[],"xml":"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