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The COVID-19 Pandemic in Latin American and Caribbean countries: Gender Differentials in Labor Market Dynamics. (2023). Viollaz, Mariana ; Flabbi, Luca ; Bosch, Mariano ; Mauricio, Salazar-Saenz ; Luca, Flabbi ; Monserrat, Bustelo.
In: IZA Journal of Development and Migration.
RePEc:vrs:izajdm:v:14:y:2023:i:1:p:57:n:3.

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  1. Navigating Educational Disruptions: The Gender Divide in Parental Involvement and Childrens Learning Outcomes. (2024). Viollaz, Mariana ; Fajardo-Gonzalez, Johanna ; Ciaschi, Matias.
    In: IZA Discussion Papers.
    RePEc:iza:izadps:dp16985.

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  2. The Real Effects of Credit Supply Shocks During the COVID-19 Pandemic. (2024). Sapriza, Horacio ; Samaniego, Brenda ; Oviedo, Rodolfo ; Amoroso, Nicols ; Alcaraz, Carlo ; Rivadeneira, Alex.
    In: Working Papers.
    RePEc:bdm:wpaper:2024-16.

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References

References cited by this document

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  6. BCRD, “Boletín trimestral del mercado laboral. Julio-septiembre 2020,” BCRD Boletín Trimestral (2020).
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  7. Berniell, I., L. Gasparini, M. Marchionni and M. Viollaz, “The Role of Work-From-Home in the Gender Asymmetries of COVID-19. An Analysis for Latin America Based on High-Frequency Surveys,” Review of Economics of the Household, 21(4) (2023).
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  8. Bosch, M. and W. F. Maloney, “Comparative analysis of labor market dynamics using Markov processes: An application to informality,” Labour Economics 17 (2010), 621–631.

  9. Bustelo, M., A. Suaya and M. Viollaz, “The Future of Work in Latin America and the Caribbean. What will be labor market be like for women?,” IADB The Future of Work in Latin America and the Caribbean Series Chapter 4 (2019).
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  11. Data was entirely collected by phone in April and May of 2020 and started incorporating some face-to-face interviews in June 2020 (INEGI, 2020a). Unlike what happened in the Dominican Republic, contact phone numbers were not available for an important share of households that had been interviewed in the first quarter of 2020. This had important implications in terms of sample size and representativeness of the data. The size of the ETOE was 45,547 households, while the ENOE covered 116,367 households in the first quarter of 2020. In our analysis, we follow INEGI’s (Mexican National Statistical Office) recommendation of not using data from the ETOE when constructing panels, which means not using the second quarter of 2020.
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  12. Deaton, A., The analysis of household surveys: a microeconometric approach to development policy (World Bank Publications, 1997).
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  20. In Chile, the INE (Instituto Nacional de Estadistica) added an update of the sampling methodology that was already scheduled to start in January 2020, and, due to the pandemic, the INE stopped doing in person interviews and switched to collecting information by phone of 57 Viollaz et al. IZA Journal of Development and Migration (2023) 14:06 or by web in mid-march.17 Touron et al. (2020) show that neither change had a significant impact on how representative the labor market statistics were over the period December 2019– February 2020.
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  21. In general, the demographic characteristics between the three group of observations are very stable between group of observations. Some exceptions include a higher educated panel sample in Brazil (columns 5 and 6) compared to the all observations (columns 1 and 2) and observations in the panel including persons who attrited at some point (columns 3 and 4). In 17 For our purposes, the main effect of the update in the sampling methodology is a change in the identifiers used to build the panels. INE provided us with both the original and new identifiers to properly build panels on individuals observed before and after January 2020.
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  22. In Mexico, the ETOE (Encuesta Telefonica de Ocupacion y Empleo) was collected in the second quarter of 2020 instead of the usual ENOE (Encuesta Nacional de Ocupacion y Empleo).
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  23. In the third quarter of 2020, the ENOE-N (Nueva Encuesta Nacional de Ocupacion y Empleo) started being collected in Mexico. The ENOE-N is a subsample of the ENOE. A share of the sample in the ENOE-N of the third and fourth quarters of 2020 corresponds to phone interviews of households that were interviewed in the second quarter of 2020 through the ETOE. The sample size of the ENOE-N in the third quarter of 2020 was 63.9% of the regular sample of the ENOE (INEGI, 2020b) and 21.4% of the total was collected by phone. Due to the problem of representativeness of the ETOE, in our analysis we do not include data collected by phone thorough the ENOE-N in the third and fourth quarters of 2020.
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  24. INEGI, “Encuesta Telefónica de Ocupación y Empleo,” (2020a).
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  25. Juarez, L. and P. Villasenor˜, “Effects of the COVID-19 Pandemic on the Labor Market Outcomes of Women with Children in Mexico,” Unpublished manuscript (2022).
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  28. OECD, SIGI 2020 Regional Report for Latin America and the Caribbean (2020).
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  29. of 57 Viollaz et al. IZA Journal of Development and Migration (2023) 14:06 Appendices A Data A.1 Data Collection During the Pandemic All countries started conducted interviews by phone in March 2020. The change in the data collection strategy had implication in terms of sample size and representativeness in some of the countries.
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  30. of 57 Viollaz et al. IZA Journal of Development and Migration (2023) 14:06 Monroy-Gomez-Franco, L., “The COVID-19 Pandemic and Female Employment. Evidence from Mexico,” Unpublished manuscript (2021).
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  31. Salazar-Saenz, M., Essays on Household Economics and Gender Differentials in the Labor Market, Ph.D. thesis, The University of North Carolina at Chapel Hill (2021).
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  32. Secreatría de Hacienda y Credito Público, G. d. M., “COVID-19, Mercado Laboral y el SAR,” Apuntes sobre el SAR No. 5 (2021).
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  33. Shibata, I., J. Bluedorn, N.-J. Hansen, F. Caselli and M. Tavares, “Gender and Employment in the COVID-19 Recession: Evidence on “She-cessions”,” IMF Working Paper WP/21/95 (2021).
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  34. Touron, I., J. Paredes, M. Olivares, M. Guerrero and P. Aravena, “Analisis del efecto del COVID-19 sobre el dise˜o muestral y las estimaciones de la ENE en EFM 2020,” INE Documentos de trabajo (2020).
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