Los “spillovers” del COVID-19 sobre el empleo y el ingreso en Perú

Autores:: Tello Pacheco, Mario

Tipo de recurso:: Article of journal

Fecha de publicación:: 2023

Institución:: Universidad Pedagógica y Tecnológica de Colombia

Repositorio:: RiUPTC: Repositorio Institucional UPTC

Idioma:

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dc.title.es-ES.fl_str_mv	Los “spillovers” del COVID-19 sobre el empleo y el ingreso en Perú
title	Los “spillovers” del COVID-19 sobre el empleo y el ingreso en Perú
spellingShingle	Los “spillovers” del COVID-19 sobre el empleo y el ingreso en Perú COVID-19 efectos spillovers desempleo distribucción del ingreso Peru Covid-19 spillover effect unemployment income distribution Peru
title_short	Los “spillovers” del COVID-19 sobre el empleo y el ingreso en Perú
title_full	Los “spillovers” del COVID-19 sobre el empleo y el ingreso en Perú
title_fullStr	Los “spillovers” del COVID-19 sobre el empleo y el ingreso en Perú
title_full_unstemmed	Los “spillovers” del COVID-19 sobre el empleo y el ingreso en Perú
title_sort	Los “spillovers” del COVID-19 sobre el empleo y el ingreso en Perú
dc.creator.fl_str_mv	Tello Pacheco, Mario
dc.contributor.author.none.fl_str_mv	Tello Pacheco, Mario
dc.subject.none.fl_str_mv	COVID-19 efectos spillovers desempleo distribucción del ingreso Peru Covid-19 spillover effect unemployment income distribution Peru
topic	COVID-19 efectos spillovers desempleo distribucción del ingreso Peru Covid-19 spillover effect unemployment income distribution Peru
publishDate	2023
dc.date.accessioned.none.fl_str_mv	2023-03-23 00:00:00 2026-04-16T17:10:44Z
dc.date.available.none.fl_str_mv	2023-03-23 00:00:00
dc.date.issued.none.fl_str_mv	2023-03-23
dc.type.spa.fl_str_mv	Artículo de revista
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dc.relation.references.none.fl_str_mv	Abadie, A. (2021). Using Synthetic Controls: Feasibility, Data Requirements, and Methodological Aspects. Journal of Economic Literature. 59(2), 391-425. https://doi.org/10.1257/jel.20191450 Andrews, D. W. K. (2003). End-of-Sample Instability Tests. Econometrica, 71(6),1661-1694. https://doi.org/10.1111/1468-0262.00466 Angrist, J., Imbens, G. & Rubin, D. (1996). Identification of Causal Effects Using Instrumental Variables. Journal of the American Statistical Association, 91(434), 444-455. https://doi.org/10.1080/01621459.1996.10476902 Banco Central de Reserva del Perú. (BCRP). (2022). Estadísticas. BCRP. Cao J., & Dowd, C. (2018). Estimation and Inference for Synthetic Control Methods with Spillover Effects. PPT. University of Chicago Booth School of Business. Cao J., & Dowd, C. (2019). Estimation and Inference for Synthetic Control Methods with Spillover Effects. University of Chicago Booth School of Business. Cox., D. (1958). Planning of Experiments. John Wileys & Sons. Cunningham, S. (2021). Causal Inference the Mixtape. Yale University Press, New Haven & London. https://doi.org/10.12987/9780300255881 Di Stefano R., & Mellace, G. (2020). The Inclusive Synthetic Control Method. Department of Methods and Models for Economics, Territory and Finance. Sapienza University of Rome Via del Castro Laurenziano, Mimeo. https://doi.org/10.2139/ssrn.3737491 Ferman, B., & Pinto, C. (2021). Synthetic Controls with Imperfect Pre-treatment Fit. Quantitative Economics,12(4). https://doi.org/10.3982/QE1596 Grossi, G., Mariani, M., Mattei, A., Lattarulo, P., & Oner, O. (2021). Synthetic Control Group Methods in the Presence of Interference: The Direct and Spillover Effects of Light Rail on Neighborhood Retail Activity. Mimeo. Cambridge University. Green, D., & Gerber, A. (2010). The Stable Unit Treatment Value Assumption (SUTVA) and Its Implications for Social Science RCTs. In Presentation at the Conference on Empirical Legal Studies, Yale Law School, November 5, 2010. https://community.lawschool.cornell.edu/wp-content/uploads/2020/12/Green-presentation-on-SUTVA-for-CELS.pdf Green, D., & Gerber, A. (2012). Field Experiments: Design, Analysis, and Interpretation. Norton. Huntington-Klein, N. (2022). The Effect an Introduction to Research Design and Causality. CRC Press. https://doi.org/10.1201/9781003226055 INEI 2022. Estadísticas de seguridad ciudadana. INEI. https://www.inei.gob.pe/biblioteca-virtual/boletines/estadisticas-de-seguridad-ciudadana/1/ INEI-ENAHO. (2022). Encuesta Nacional de Hogares, años del 2011 al 2020. INEI. Jaramillo, M., & López, K. (2021). Políticas para combatir la pandemia de COVID-19. Grade Documento de Investigación, (12). https://www.grade.org.pe/publicaciones/politicas-para-combatir-la-pandemia-de-covid-19/Johns Hopkins (s.f.). COVID-19 Map. Johns Hopkins University. https://coronavirus.jhu.edu/map.html Lim J., Maung, S., Tan, S., Ong, J., Lim, J., Koo, H., Sun, M., Park, K., TanI, J., Yoong, A., Cook, B. & Dickens, L. (2021). Estimating Direct and Spill-over Impacts of Political Elections on COVID-19 Transmission Using Synthetic Control Methods. PLOS Computational Biolog., 1-15. https://doi.org/10.1371/journal.pcbi.1008959 Ministerio de Economía y Finanzas (MEF). (2022). Transparencia Económica. Mineco. https://apps5.mineco.gob.pe/bingos/mantenimiento/Navegador/default.aspx MINSA. (2022). Estadísticas del COVID 19. MINSA. https://covid19.minsa.gob.pe/sala_situacional.asp Mitze J., Kosfeld, R., Rode, J. & Wälde, K. (2020). Face Masks Considerably Reduce COVID-19 Cases in Germany. PNAS, 117(51), pp. 1-9, https://doi.org/10.1073/pnas.2015954117 Mundo LR. (2020, 20 dic.). Perú es noticia en el mundo por aglomeraciones en compras navideñas. La República. https://larepublica.pe/mundo/2020/12/20/peru-es-noticia-en-el-mundo-por-aglomeraciones-en-compras-navidenas/Our World Data. (2022). COVID-19 Data. https://ourworldindata.org/ Redacción Perú 21. (2020, 11 abr.). Coronavirus en Perú: Problemas para congelar alimentos en hogares habrían contribuido a aglomeraciones. Perú 21. https://peru21.pe/economia/problemas-para-congelar-alimentos-en-hogares-habrian-contribuido-a-aglomeraciones-noticia/?ref=p21r Rubin D. (1980). Randomization Analysis of Experimental Data: The Fisher Randomization Test Comment. Journal of the American Statistical Association, 75(371), 591-593. https://doi.org/10.1080/01621459.1980.10477517 Shi, C., Sridhar, D., Misra, V., & Blei, D. (2022). On the Assumptions of Synthetic Control Methods. In Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS) 2022, Valencia, España. Tello, M.D. (2022). Controles sintéticos y estrategia de dosis: un análisis provincial exploratorio de los efectos del COVID-19 en los ingresos, empleo y pobreza en el Perú, 2011-2020. Informe final CIES. World Bank. (2022). World Development Indicators. World Bank. Zhang, Z., Owen, G., Green, M., Buchan, I., &Barr, B. (2022). Evaluating the Impacts of Tiered Restrictions Introduced in England, During October and December 2020 on COVID-19 Cases: A Synthetic Control Study. BMJ Open,12(4), 1-7. http://dx.doi.org/10.1136/bmjopen-2021-054101 Zhou, F., Yu, T., Du, R., Fan, G., Liu, Y., & Liu, Z. (2020). Clinical Course and Risk Factors for Mortality of Adult Inpatients with COVID-19 in Wuhan, China: A Retrospective Cohort Study. Lancet, 395(10229), 1054-1062. https://doi.org/10.1016/S0140-6736(20)30566-3
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dc.rights.none.fl_str_mv	Mario Tello Pacheco - 2023
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spelling	Tello Pacheco, Mario2023-03-23 00:00:002026-04-16T17:10:44Z2023-03-23 00:00:002023-03-230120-3053https://repositorio.uptc.edu.co/handle/001/1865310.19053/01203053.v42.n75.2023.153892256-5779https://doi.org/10.19053/01203053.v42.n75.2023.15389application/pdftext/htmltext/xmlapplication/pdfUniversidad Pedagógica y Tecnológica de ColombiaMario Tello Pacheco - 2023http://creativecommons.org/licenses/by-nc-sa/4.0info:eu-repo/semantics/openAccessThis work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.http://purl.org/coar/access_right/c_abf2https://revistas.uptc.edu.co/index.php/cenes/article/view/15389COVID-19efectos spilloversdesempleodistribucción del ingresoPeruCovid-19spillover effectunemploymentincome distributionPeruLos “spillovers” del COVID-19 sobre el empleo y el ingreso en PerúArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articleJournal articleinfo:eu-repo/semantics/publishedVersionTexthttp://purl.org/coar/version/c_970fb48d4fbd8a85Abadie, A. (2021). Using Synthetic Controls: Feasibility, Data Requirements, and Methodological Aspects. Journal of Economic Literature. 59(2), 391-425. https://doi.org/10.1257/jel.20191450Andrews, D. W. K. (2003). End-of-Sample Instability Tests. Econometrica, 71(6),1661-1694. https://doi.org/10.1111/1468-0262.00466Angrist, J., Imbens, G. & Rubin, D. (1996). Identification of Causal Effects Using Instrumental Variables. Journal of the American Statistical Association, 91(434), 444-455. https://doi.org/10.1080/01621459.1996.10476902Banco Central de Reserva del Perú. (BCRP). (2022). Estadísticas. BCRP.Cao J., & Dowd, C. (2018). Estimation and Inference for Synthetic Control Methods with Spillover Effects. PPT. University of Chicago Booth School of Business.Cao J., & Dowd, C. (2019). Estimation and Inference for Synthetic Control Methods with Spillover Effects. University of Chicago Booth School of Business.Cox., D. (1958). Planning of Experiments. John Wileys & Sons.Cunningham, S. (2021). Causal Inference the Mixtape. Yale University Press, New Haven & London. https://doi.org/10.12987/9780300255881Di Stefano R., & Mellace, G. (2020). The Inclusive Synthetic Control Method. Department of Methods and Models for Economics, Territory and Finance. Sapienza University of Rome Via del Castro Laurenziano, Mimeo. https://doi.org/10.2139/ssrn.3737491Ferman, B., & Pinto, C. (2021). Synthetic Controls with Imperfect Pre-treatment Fit. Quantitative Economics,12(4). https://doi.org/10.3982/QE1596Grossi, G., Mariani, M., Mattei, A., Lattarulo, P., & Oner, O. (2021). Synthetic Control Group Methods in the Presence of Interference: The Direct and Spillover Effects of Light Rail on Neighborhood Retail Activity. Mimeo. Cambridge University.Green, D., & Gerber, A. (2010). The Stable Unit Treatment Value Assumption (SUTVA) and Its Implications for Social Science RCTs. In Presentation at the Conference on Empirical Legal Studies, Yale Law School, November 5, 2010. https://community.lawschool.cornell.edu/wp-content/uploads/2020/12/Green-presentation-on-SUTVA-for-CELS.pdfGreen, D., & Gerber, A. (2012). Field Experiments: Design, Analysis, and Interpretation. Norton.Huntington-Klein, N. (2022). The Effect an Introduction to Research Design and Causality. CRC Press. https://doi.org/10.1201/9781003226055 INEI 2022. Estadísticas de seguridad ciudadana. INEI. https://www.inei.gob.pe/biblioteca-virtual/boletines/estadisticas-de-seguridad-ciudadana/1/INEI-ENAHO. (2022). Encuesta Nacional de Hogares, años del 2011 al 2020. INEI.Jaramillo, M., & López, K. (2021). Políticas para combatir la pandemia de COVID-19. Grade Documento de Investigación, (12). https://www.grade.org.pe/publicaciones/politicas-para-combatir-la-pandemia-de-covid-19/Johns Hopkins (s.f.). COVID-19 Map. Johns Hopkins University. https://coronavirus.jhu.edu/map.htmlLim J., Maung, S., Tan, S., Ong, J., Lim, J., Koo, H., Sun, M., Park, K., TanI, J., Yoong, A., Cook, B. & Dickens, L. (2021). Estimating Direct and Spill-over Impacts of Political Elections on COVID-19 Transmission Using Synthetic Control Methods. PLOS Computational Biolog., 1-15. https://doi.org/10.1371/journal.pcbi.1008959Ministerio de Economía y Finanzas (MEF). (2022). Transparencia Económica. Mineco. https://apps5.mineco.gob.pe/bingos/mantenimiento/Navegador/default.aspxMINSA. (2022). Estadísticas del COVID 19. MINSA. https://covid19.minsa.gob.pe/sala_situacional.aspMitze J., Kosfeld, R., Rode, J. & Wälde, K. (2020). Face Masks Considerably Reduce COVID-19 Cases in Germany. PNAS, 117(51), pp. 1-9, https://doi.org/10.1073/pnas.2015954117Mundo LR. (2020, 20 dic.). Perú es noticia en el mundo por aglomeraciones en compras navideñas. La República. https://larepublica.pe/mundo/2020/12/20/peru-es-noticia-en-el-mundo-por-aglomeraciones-en-compras-navidenas/Our World Data. (2022). COVID-19 Data. https://ourworldindata.org/Redacción Perú 21. (2020, 11 abr.). Coronavirus en Perú: Problemas para congelar alimentos en hogares habrían contribuido a aglomeraciones. Perú 21. https://peru21.pe/economia/problemas-para-congelar-alimentos-en-hogares-habrian-contribuido-a-aglomeraciones-noticia/?ref=p21rRubin D. (1980). Randomization Analysis of Experimental Data: The Fisher Randomization Test Comment. Journal of the American Statistical Association, 75(371), 591-593. https://doi.org/10.1080/01621459.1980.10477517Shi, C., Sridhar, D., Misra, V., & Blei, D. (2022). On the Assumptions of Synthetic Control Methods. In Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS) 2022, Valencia, España.Tello, M.D. (2022). Controles sintéticos y estrategia de dosis: un análisis provincial exploratorio de los efectos del COVID-19 en los ingresos, empleo y pobreza en el Perú, 2011-2020. Informe final CIES.World Bank. (2022). World Development Indicators. World Bank.Zhang, Z., Owen, G., Green, M., Buchan, I., &Barr, B. (2022). Evaluating the Impacts of Tiered Restrictions Introduced in England, During October and December 2020 on COVID-19 Cases: A Synthetic Control Study. BMJ Open,12(4), 1-7. http://dx.doi.org/10.1136/bmjopen-2021-054101Zhou, F., Yu, T., Du, R., Fan, G., Liu, Y., & Liu, Z. (2020). Clinical Course and Risk Factors for Mortality of Adult Inpatients with COVID-19 in Wuhan, China: A Retrospective Cohort Study. Lancet, 395(10229), 1054-1062. https://doi.org/10.1016/S0140-6736(20)30566-31957516142Apuntes del Ceneshttps://revistas.uptc.edu.co/index.php/cenes/article/download/15389/12738https://revistas.uptc.edu.co/index.php/cenes/article/download/15389/15296https://revistas.uptc.edu.co/index.php/cenes/article/download/15389/13862https://revistas.uptc.edu.co/index.php/cenes/article/download/15389/12769PublicationOREORE.xmltext/xml3088https://repositorio.uptc.edu.co/bitstreams/777eb73f-4e93-49c8-88b0-d4ac10deed0a/downloadcfb02e9a91c48f92912b9738d390efb2MD51falseAnonymousREAD001/18653oai:repositorio.uptc.edu.co:001/186532026-10-30 06:54:07.441http://creativecommons.org/licenses/by-nc-sa/4.0metadata.onlyhttps://repositorio.uptc.edu.coRepositorio Institucional UPTCbdigital@metabiblioteca.com

Los “spillovers” del COVID-19 sobre el empleo y el ingreso en Perú

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