000132090 001__ 132090
000132090 005__ 20240301161205.0
000132090 0247_ $$2doi$$a10.1111/jors.12535
000132090 0248_ $$2sideral$$a124291
000132090 037__ $$aART-2021-124291
000132090 041__ $$aeng
000132090 100__ $$0(orcid)0000-0001-9957-6613$$aMarcén, Miriam$$uUniversidad de Zaragoza
000132090 245__ $$aThe intensity of covid-19 non-pharmaceutical Interventions and labor market outcomes in the public sector
000132090 260__ $$c2021
000132090 5060_ $$aAccess copy available to the general public$$fUnrestricted
000132090 5203_ $$aThis paper examines whether the intensity of Non‐Pharmaceutical Interventions (NPIs) during the COVID‐19 pandemic has differentially impacted the public sector labor market outcomes. This extends the analysis of the already documented negative economic consequences of COVID‐19 and their dissimilarities with a typical economic crisis. To capture the intensity of the NPIs, we build a novel index (COVINDEX) using daily information on NPIs merged with state‐level data on out‐of‐home mobility (Google data) to show that among individuals living in a typical state, NPI enforcement during COVID‐19 reduces the likelihood of being employed (at work) by 5% with respect to the pre‐COVID period and the hours worked by 1.3% using data on labor market outcomes from the monthly Current Population Survey and difference‐in‐difference models. This is a sizable amount representing the sector with the higher job security during the pandemic. Public sector workers in a typical state are 4 percentage points more likely to be at work than salaried workers in the private sector and 7 percentage points more likely to be at work than self‐employed workers (the worst so far). Our results are robust to the endogeneity of the NPI measures and present empirical evidence of heterogeneity in response to the NPIs, with those in local employment being the hardest hit.
000132090 536__ $$9info:eu-repo/grantAgreement/ES/DGA/S32-20R$$9info:eu-repo/grantAgreement/ES/MICINN/PID2020-114354RA-I00
000132090 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000132090 590__ $$a2.807$$b2021
000132090 591__ $$aECONOMICS$$b137 / 381 = 0.36$$c2021$$dQ2$$eT2
000132090 591__ $$aREGIONAL & URBAN PLANNING$$b24 / 40 = 0.6$$c2021$$dQ3$$eT2
000132090 591__ $$aENVIRONMENTAL STUDIES$$b83 / 128 = 0.648$$c2021$$dQ3$$eT2
000132090 592__ $$a0.88$$b2021
000132090 593__ $$aEnvironmental Science (miscellaneous)$$c2021$$dQ1
000132090 593__ $$aDevelopment$$c2021$$dQ1
000132090 594__ $$a4.0$$b2021
000132090 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000132090 700__ $$0(orcid)0000-0002-1944-4790$$aMorales, Marina$$uUniversidad de Zaragoza
000132090 7102_ $$14000$$2415$$aUniversidad de Zaragoza$$bDpto. Análisis Económico$$cÁrea Fund. Análisis Económico
000132090 773__ $$g61, 4 (2021), 775-798$$pJ. reg. sci.$$tJOURNAL OF REGIONAL SCIENCE$$x0022-4146
000132090 8564_ $$s1792800$$uhttps://zaguan.unizar.es/record/132090/files/texto_completo.pdf$$yVersión publicada
000132090 8564_ $$s1352742$$uhttps://zaguan.unizar.es/record/132090/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000132090 909CO $$ooai:zaguan.unizar.es:132090$$particulos$$pdriver
000132090 951__ $$a2024-03-01-14:41:27
000132090 980__ $$aARTICLE