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Commodity price shocks and the gender wage gap: Evidence from the metal mining prices super-cycle in Chile

dc.contributor.authorChávez, Alicia
dc.contributor.authorRodríguez-Puello, Gabriel
dc.date.accessioned2022-04-18T19:19:52Z
dc.date.available2022-04-18T19:19:52Z
dc.date.issued2022-02-04
dc.date.submitted2022-04-08
dc.identifier.citationAlicia Chávez, Gabriel Rodríguez-Puello, Commodity price shocks and the gender wage gap: Evidence from the Metal Mining Prices Super-Cycle in Chile, Resources Policy, Volume 76, 2022, 102497, ISSN 0301-4207, https://doi.org/10.1016/j.resourpol.2021.102497.spa
dc.identifier.urihttps://hdl.handle.net/20.500.12585/10673
dc.description.abstractThis paper analyzes the local impact of a natural resource shock on female and male wages as well as the gender wage gap. We contrast three hypotheses using the Dutch disease theory and gender-based segregation patterns in the labor market. Using household level data aggregated at a municipality-level from 2000 to 2015, we examine the case of Chile that was exposed to the Metal Mining Prices Super-Cycle between 2003 and 2011. We exploit the spatial heterogeneity in the exposure to the shock, and find a positive and significant impact on wages for both men and women. We also provide evidence of a significant reduction in the gender wage gap in municipalities more exposed to the commodity shock in comparison to municipalities with less exposure. In addition, we use spatial econometric specifications and find evidence suggesting the existence of spatial spillovers between neighboring municipalitiesspa
dc.format.extent14 Páginas
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceResources Policy 76 (2022) 102497spa
dc.titleCommodity price shocks and the gender wage gap: Evidence from the metal mining prices super-cycle in Chilespa
dcterms.bibliographicCitationAldieri and Cincera, 2009 Aldieri L., Cincera M. Geographic and technological R&D spillovers within the triad: Micro evidence from US patents J. Technol. Transf., 34 (2) (2009), pp. 196-211spa
dcterms.bibliographicCitationAllcott and Keniston, 2018 Allcott H., Keniston D. Dutch disease or agglomeration? The local economic effects of natural resource booms in modern America Rev. Econ. Stud., 85 (2) (2018), pp. 695-731spa
dcterms.bibliographicCitationAller and Arce, 2001 Aller R.A., Arce M.U. Explaining the reduction in the gender wage gap during the 1990-94 economic recession in Spain Atl. Econ. J., 29 (1) (2001), pp. 63-74spa
dcterms.bibliographicCitationÁlvarez et al., 2018 Álvarez R., García-Marín A., Ilabaca S. Commodity price shocks and poverty reduction in Chile Resour. Policy (2018)spa
dcterms.bibliographicCitationAngrist and Krueger, 2001 Angrist J.D., Krueger A.B. Instrumental variables and the search for identification: From supply and demand to natural experiments J. Econ. Perspect., 15 (4) (2001), pp. 69-85spa
dcterms.bibliographicCitationAnker, 1997 Anker R. Theories of occupational segregation by sex: An overview Int. Labour Rev., 136 (Fall) (1997), pp. 315-339spa
dcterms.bibliographicCitationAnker, 1998 Anker R. Gender And Jobs: Sex Segregation Of Occupations In The World International Labour Office, Geneva (1998)spa
dcterms.bibliographicCitationAnselin, 1995 Anselin L. Local indicators of spatial association—LISA Geograp. Anal., 27 (2) (1995), pp. 93-115spa
dcterms.bibliographicCitationAnselin et al., 2007 Anselin L., Sridharan S., Gholston S. Using exploratory spatial data analysis to leverage social indicator databases: the discovery of interesting patterns Soc. Indic. Res., 82 (2) (2007), pp. 287-309spa
dcterms.bibliographicCitationAroca and Atienza, 2008 Aroca P., Atienza M. La conmutación regional en Chile y su impacto en la Región de Antofagasta EURE (Santiago), 34 (102) (2008), pp. 97-120spa
dcterms.bibliographicCitationAroca and Atienza, 2011 Aroca P., Atienza M. Economic implications of long distance commuting in the Chilean mining industry Resour. Policy, 36 (3) (2011), pp. 196-203spa
dcterms.bibliographicCitationAtienza et al., 2021 Atienza M., Lufin M., Soto J. Mining linkages in the Chilean copper supply network and regional economic development Resour. Policy, 70 (2021), Article 101154spa
dcterms.bibliographicCitationAtienza and Modrego, 2019 Atienza M., Modrego F. The spatially asymmetric evolution of mining services suppliers during the expansion and contraction phases of the copper super-cycle in Chile Resour. Policy, 61 (2019), pp. 77-87spa
dcterms.bibliographicCitationBaffes and Haniotis, 2010 Baffes, J., Haniotis, T., 2010. Placing the 2006/08 commodity price boom into perspective. In: World Bank Policy Research Working Paper. (5371).spa
dcterms.bibliographicCitationBerdegué et al., 2019 Berdegué J.A., Hiller T., Ramí rez J.M., Satizábal S., Soloaga I., Soto J., Uribe M., Vargas O. Delineating functional territories from outer space Lat. Am. Econ. Rev., 28 (1) (2019), p. 4spa
dcterms.bibliographicCitationBertrand et al., 2004 Bertrand M., Duflo E., Mullainathan S. How much should we trust differences-in-differences estimates? Q. J. Econ., 119 (1) (2004), pp. 249-275spa
dcterms.bibliographicCitationBlau and Kahn, 2017 Blau F.D., Kahn L.M. The gender wage gap: Extent, trends, and explanations J. Econ. Literat., 55 (3) (2017), pp. 789-865spa
dcterms.bibliographicCitationBusse and Spielmann, 2006 Busse M., Spielmann C. Gender inequality and trade* Rev. Int. Econ., 14 (3) (2006), pp. 362-37spa
dcterms.bibliographicCitationCameron et al., 2008 Cameron A.C., Gelbach J.B., Miller D.L. Bootstrap-based improvements for inference with clustered errors Rev. Econ. Statist., 90 (3) (2008), pp. 414-427spa
dcterms.bibliographicCitationCEPAL, 2016 CEPAL A.C. Women’s participation in Chile’s mining sector increases steadily: Technical report Observatorio de Igualdad de Género de América Latina y el Caribe (2016)spa
dcterms.bibliographicCitationCerulli and Ventura, 2019 Cerulli G., Ventura M. Estimation of pre-and posttreatment average treatment effects with binary time-varying treatment using stata Stata J., 19 (3) (2019), pp. 551-565spa
dcterms.bibliographicCitationCha and Weeden, 2014 Cha Y., Weeden K.A. Overwork and the slow convergence in the gender gap in wages Am. Sociol. Rev., 79 (3) (2014), pp. 457-484spa
dcterms.bibliographicCitationChapman et al., 2015 Chapman R., Plummer P., Tonts M. The resource boom and socio-economic well-being in Australian resource towns: A temporal and spatial analysis Urban Geograp., 36 (5) (2015), pp. 629-653spa
dcterms.bibliographicCitationCorden and Neary, 1982 Corden W.M., Neary J.P. Booming sector and de-industrialisation in a small open economy Econ. J., 92 (368) (1982), pp. 825-848spa
dcterms.bibliographicCitationCrociata et al., 2020 Crociata A., Odoardi I., Agovino M., Sacco P.L. A missing link? Cultural capital as a source of human capital: evidence from Italian regional data Anna. Reg. Sci., 64 (1) (2020), pp. 79-109spa
dcterms.bibliographicCitationCunningham, 2020 Cunningham S. Causal Inference: The Mixtape, Vol. 1 Yale University Press (2020)spa
dcterms.bibliographicCitationDavis and Weinstein, 2008 Davis D.R., Weinstein D.E. A search for multiple equilibria in urban industrial structure J. Reg. Sci., 48 (1) (2008), pp. 29-65spa
dcterms.bibliographicCitationDubé et al., 2014 Dubé J., Legros D., Thériault M., Des Rosiers F. A spatial difference-in-differences estimator to evaluate the effect of change in public mass transit systems on house prices Transp. Res. B, 64 (2014), pp. 24-40spa
dcterms.bibliographicCitationErten and Ocampo, 2013 Erten B., Ocampo J.A. Super cycles of commodity prices since the mid-nineteenth century World Dev., 44 (2013), pp. 14-30spa
dcterms.bibliographicCitationFarooki and Kaplinsky, 2013 Farooki M., Kaplinsky R. The Impact Of China On Global Commodity Prices: The Global Reshaping Of The Resource Sector, Vol. 57 Routledge (2013)spa
dcterms.bibliographicCitationFigueroa and Calfucura, 2003 Figueroa B.E., Calfucura T.E. Growth and green income: Evidence from mining in Chile Resour. Policy, 29 (3–4) (2003), pp. 165-173spa
dcterms.bibliographicCitationFrederiksen, 2007 Frederiksen E.H. Labor Mobility, Household Production, and the Dutch Disease University of Copenhagen (2007)spa
dcterms.bibliographicCitationGetis and Aldstadt, 2004 Getis A., Aldstadt J. Constructing the spatial weights matrix using a local statistic Geograp. Anal., 36 (2) (2004), pp. 90-104spa
dcterms.bibliographicCitationGreene, 2012 Greene W. Econometric Analysis Prentice Hall, New York (2012)spa
dcterms.bibliographicCitationHajkowicz et al., 2011 Hajkowicz S.A., Heyenga S., Moffat K. The relationship between mining and socio-economic well being in Australia’s regions Resour. Policy, 36 (1) (2011), pp. 30-38spa
dcterms.bibliographicCitationHeckert and Mennis, 2012 Heckert M., Mennis J. The economic impact of greening urban vacant land: a spatial difference-in-differences analysis Environ. Plan. A, 44 (12) (2012), pp. 3010-3027spa
dcterms.bibliographicCitationHeckman et al., 1999 Heckman J.J., LaLonde R.J., Smith J.A. The economics and econometrics of active labor market programs Handbook Of Labor Economics, Vol. 3, Elsevier (1999), pp. 1865-2097spa
dcterms.bibliographicCitationHorton, 1999 Horton S. Marginalization revisited: Women’s market work and pay, and economic development World Dev., 27 (3) (1999), pp. 571-582spa
dcterms.bibliographicCitationIsham et al., 2005 Isham J., Woolcock M., Pritchett L., Busby G. The varieties of resource experience: natural resource export structures and the political economy of economic growth World Bank Econ. Rev., 19 (2) (2005), pp. 141-174spa
dcterms.bibliographicCitationJacobsen and Parker, 2016 Jacobsen G.D., Parker D.P. The economic aftermath of resource booms: Evidence from boomtowns in the American west Econom. J., 126 (593) (2016), pp. 1092-1128spa
dcterms.bibliographicCitationKarlsson et al., 2010 Karlsson C., Johansson B., Stough R. Entrepreneurship And Regional Development Edward Elgar Publishing (2010)spa
dcterms.bibliographicCitationKumar and Quisumbing, 2014 Kumar, N., Quisumbing, A., 2014. Gender, Shocks, and Resilience. In: 2020 Conference On Building Resilience For Food And Nutrition Security, May 15-17 2014. (May), p. 6.spa
dcterms.bibliographicCitationLawrie et al., 2011 Lawrie M., Tonts M., Plummer P. Boomtowns, resource dependence and socio-economic well-being Aust. Geogr., 42 (2) (2011), pp. 139-164spa
dcterms.bibliographicCitationMacKinnon and Webb, 2017 MacKinnon J.G., Webb M.D. Wild bootstrap inference for wildly different cluster sizes J. Appl. Econom., 32 (2) (2017), pp. 233-254spa
dcterms.bibliographicCitationMahajan, 2017 Mahajan K. Rainfall shocks and the gender wage gap: Evidence from Indian agriculture World Dev., 91 (2017), pp. 156-172spa
dcterms.bibliographicCitationMandel et al., 2005 Mandel H., Semyonov M., Barrett R., Bridges W., Campbell R., Lewin-epstein N., Orum A. Family policies, wage structures, and gender gaps: Sources of earnings inequality in 20 countries Am. Sociol. Rev., 70 (2005), pp. 949-967spa
dcterms.bibliographicCitationManesh et al., 2020 Manesh S.N., Choi J.O., Shrestha B.K., Lim J., Shrestha P.P. Spatial analysis of the gender wage gap in architecture, civil engineering, and construction occupations in the United States J. Manag. Eng., 36 (4) (2020), Article 04020023spa
dcterms.bibliographicCitationMarchand and Olfert, 2013 Marchand J., Olfert S. The US gender gap through the great recession using an alternative approach to cyclicality Appl. Econ. Lett., 20 (3) (2013), pp. 276-281spa
dcterms.bibliographicCitationMiller et al., 2019 Miller S., Johnson N., Wherry L.R. Medicaid and mortality: new evidence from linked survey and administrative data: Technical report National Bureau of Economic Research (2019)spa
dcterms.bibliographicCitationModrego and Berdegué, 2015 Modrego F., Berdegué J.A. A large-scale mapping of territorial development dynamics in latin america World Dev., 73 (2015), pp. 11-31spa
dcterms.bibliographicCitationMontenegro, 2001 Montenegro C. Wage Distribution in Chile : Does Gender Matter ? A Quantile Regression Approach The World Bank (2001), pp. 1-35spa
dcterms.bibliographicCitationÑopo, 2006 Ñopo H. The gender wage gap in Chile 1992–2003 from a matching comparisons perspective SSRN Electron. J (2006)spa
dcterms.bibliographicCitationOECD, 2018 OECD H. OECD Economic Surveys: Chile 2018: Technical Report OECD Publishing, Paris (2018)spa
dcterms.bibliographicCitationOIT, 2018 OIT, 2018. El mercado laboral en Chile: Una mirada de mediano plazo. Technical Report, p. 47.spa
dcterms.bibliographicCitationPellandra, 2015 Pellandra A. The commodity price boom and regional workers in Chile: a natural resources blessing? Working Paper, Heinz College, Carnegie Mellon University (2015)spa
dcterms.bibliographicCitationPérez-Trujillo and Rodríguez-Puello, 2021 Pérez-Trujillo M., Rodríguez-Puello G. Economic shocks and their effect on the schooling and labor participation of youth: evidence from the metal mining price boom in Chilean counties Anna. Reg. Sci. (2021), pp. 1-29spa
dcterms.bibliographicCitationPerticará and Bueno, 2009 Perticará M., Bueno I. A new approach to gender wage gaps in Chile CEPAL Rev., 2009 (99) (2009), pp. 131-147spa
dcterms.bibliographicCitationRadetzki et al., 2008 Radetzki M., Eggert R.G., Lagos G., Lima M., Tilton J.E. The boom in mineral markets: How long might it last? Resour. Policy, 33 (3) (2008), pp. 125-128spa
dcterms.bibliographicCitationReeson et al., 2012 Reeson A.F., Measham T.G., Hosking K. Mining activity, income inequality and gender in regional Australia Aust. J. Agricult. Res. Econ., 56 (2) (2012), pp. 302-313spa
dcterms.bibliographicCitationRodríguez-Puello et al., 2021 Rodríguez-Puello G., Arcos A., Jara B. Would you value a few more hours of work? Underemployment and subjective well-being across Chilean workers Appl. Res. Quality Life (2021), pp. 1-28spa
dcterms.bibliographicCitationRoss, 2008 Ross M.L. Oil, islam, and women Am. Political Sci. Rev., 102 (1) (2008), pp. 107-123spa
dcterms.bibliographicCitationRowe, 2014 Rowe, F., 2014. Micro and macro drivers of long-distance commuting in Chile: The role of spatial distribution of economic activities and population. In: 53rd Congress Of The Western Regional Science Association, San Diego, CA.spa
dcterms.bibliographicCitationSingleton, 2014 Singleton K.J. Investor flows and the 2008 boom/bust in oil prices Manage. Sci., 60 (2) (2014), pp. 300-318spa
dcterms.bibliographicCitationStorey, 2001 Storey K. Fly-in/fly-out and fly-over: mining and regional development in western Australia Aust. Geogr., 32 (2) (2001), pp. 133-148spa
dcterms.bibliographicCitationWeichselbaumer and Winter-Ebmer, 2005 Weichselbaumer D., Winter-Ebmer R. A meta-analysis of the international gender wage gap J. Econ. Surv., 19 (3) (2005), pp. 479-511spa
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dc.identifier.doihttps://doi.org/10.1016/j.resourpol.2021.102497.
dc.subject.keywordsWagesspa
dc.subject.keywordsGenderspa
dc.subject.keywordsShocksspa
dc.subject.keywordsNatural resourcesspa
dc.subject.keywordsChilespa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.ccAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.identifier.instnameUniversidad Tecnológica de Bolívarspa
dc.identifier.reponameRepositorio Universidad Tecnológica de Bolívarspa
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