Desigualdad y tasa de fertilidad a nivel mundial: un enfoque de cointegración y causalidad con datos de panel
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Adam, A., Kammas, P., & Lapatinas, A. (2015). Income inequality and the tax structure: Evidence from developed and developing countries. Journal of Comparative Economics, 43(1), 138-154.
Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19(6), 716-723.
Alvaredo, F., Piketty, T., Chancel, L., Saez, E., Zucman, G., Perrotini, I., & Muller, N. (2018). Informe sobre la desigualdad global 2018. Grano de Sal.
Amarante, V., & Colacce, M. (2018). ¿ Más o menos desiguales? Una revisión sobre la desigualdad de los ingresos a nivel global, regional y nacional. Revista Cepal.
Bakkeli, N. Z. (2016). Income inequality and health in China: A panel data analysis. Social Science & Medicine, 157, 39-47.
Behzadan, N., Chisik, R., Onder, H., & Battaile, B. (2017). Does inequality drive the Dutch disease? Theory and evidence. Journal of International Economics, 106, 104-118.
Bohemia. (2016). Recuperado el Junio de 2018, de http://bohemia.cu/mundo/2016/09/crecera-notablemente-la-poblacion-mundial-hasta-2050.
Bongaarts, J., & Casterline, J. (2013). Fertility transition: is sub‐Saharan Africa different?. PoPulation and develoPment review, 38, 153-168.
Breitung, J. (2002). Nonparametric tests for unit roots and cointegration. Journal of Econometrics, 108(2), 343-363.
Caucutt, E. M., Guner, N., & Knowles, J. (2002). Why do women wait? Matching, wage inequality, and the incentives for fertility delay. Review of Economic Dynamics, 5(4), 815-855.
CEPAL, N. (2019). La Agenda 2030 y los Objetivos de Desarrollo Sostenible: una oportunidad para América Latina y el Caribe. Objetivos, metas e indicadores mundiales.
CIT. (2004). Por una globalización justa: El papel de la OIT.
CICS/IED/UNESCO (2016). Informe Mundial sobre Ciencias Sociales 2016 – Afrontar el reto de las desigualdades y trazar vías hacia un mundo justo. Ediciones UNESCO, París (Francia).
Cordoba, J. C., Liu, X., & Ripoll, M. (2016). Fertility, social mobility and long run inequality. Journal of Monetary Economics, 77, 103-124.
Cumbicus, M., & Tillaguango, B. (2017). Efecto del capital humano en la desigualdad: evidencia empírica para 17 países de América Latina. Revista Vista Económica, 3(1), 53-62.
Day, C., & Guest, R. (2016). Fertility and female wages: A new link via house prices. Economic Modelling, 53, 121-132.
Dereuddre, R., Van de Velde, S., & Bracke, P. (2016). Gender inequality and the ‘East-West’divide in contraception: An analysis at the individual, the couple, and the country level. Social Science & Medicine, 161, 1-12.
Dickey, D., Fuller, W. A., 1981. Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica, 49, 1057-1072.
Dumitrescu, E. I., & Hurlin, C. (2012). Testing for Granger non-causality in heterogeneous panels. Economic Modelling, 29(4), 1450-1460.
Geronimus, A. T., Bound, J., & Waidmann, T. A. (1999). Health inequality and population variation in fertility-timing. Social science & medicine, 49(12), 1623-1636.
Gründler, K., & Scheuermeyer, P. (2018). Growth effects of inequality and redistribution: What are the transmission channels?. Journal of Macroeconomics, 55, 293-313.
Hausman, J. A. (1978). Specification tests in econometrics. Econometrica: Journal of the Econometric Society, 1251-1271.
He, Z., Xu, S., Shen, W., Long, R., & Chen, H. (2017). Impact of urbanization on energy related CO2emission at different development levels: Regional difference in China based on panel estimation. Journal of Cleaner Production, 140, 1719–1730.
Im, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115(1), 53-74.
Islam, M. R. (2018). Wealth inequality, democracy and economic freedom. Journal of Comparative Economics.
Kao, C., & Chiang, M. H. (2001). On the estimation and inference of a cointegrated regression in panel data. In Nonstationary panels, panel cointegration, and dynamic panels(pp. 179-222). Emerald Group Publishing Limited.
Kulu, H., & Washbrook, E. (2014). Residential context, migration and fertility in a modern urban society. Advances in Life Course Research, 21, 168-182.
Larrea, C., & Kawachi, I. (2005). Does economic inequality affect child malnutrition? The case of Ecuador. Social Science & Medicine, 60(1), 165-178.
Levin, A., Lin, C. F., & Chu, C. S. J. (2002). Unit root tests in panel data: asymptotic and finite-sample properties. Journal of Econometrics, 108(1), 1-24.
Li, T., Lai, J. T., Wang, Y., & Zhao, D. (2016). Long-run relationship between inequality and growth in post-reform China: New evidence from dynamic panel model. International Review of Economics & Finance, 41, 238-252.
Lojan, D., & Méndez, P. (2020). Capital humano y desigualdad: un análisis de cointegración para Ecuador. Revista Vista Económica, 8(2), 86-91.
Maddala, G. S., & Wu, S. (1999). A comparative study of unit root tests with panel data and a new simple test. Oxford Bulletin of Economics and Statistics, 61(S1), 631-652.
Mendoza, O. M. V. (2017). Heterogeneous determinants of educational achievement and inequality across urban China. China Economic Review.
Momota, A. (2016). Intensive and extensive margins of fertility, capital accumulation, and economic welfare. Journal of Public Economics, 133, 90-110.
Pedroni, P. (1999). Critical values for cointegration tests in heterogeneous panels with multiple regressors. Oxford Bulletin of Economics and Statistics, 61(S1), 653-670.
Pedroni, P. (2001). Purchasing power parity tests in cointegrated panels. Review of Economics and Statistics, 83(4), 727-731.
Phillips, P. C., & Moon, H. R. (1999). Linear regression limit theory for nonstationary panel data. Econometrica, 67(5), 1057-1111.
Phillips, P., Perron, P. (1988). Testing for a unit root in time series regression. Biometrica, 75, 335-346.
Policardo, L., & Carrera, E. J. S. (2018). Corruption causes inequality, or is it the other way around? An empirical investigation for a panel of countries. Economic Analysis and Policy, 59, 92-102.
Rougoor, W., & Van Marrewijk, C. (2015). Demography, growth, and global income inequality. World Development, 74, 220-232.
Santelli, J. S., Song, X., Garbers, S., Sharma, V., & Viner, R. M. (2017). Global trends in adolescent fertility, 1990–2012, in relation to national wealth, income inequalities, and educational expenditures. Journal of Adolescent Health, 60(2), 161-168.
Westerlund, J. (2007). Testing for error correction in panel data. Oxford Bulletin of Economics and Statistics, 69(6), 709-748.
Wood, J., & Neels, K. (2017). First a job, then a child? Subgroup variation in women’s employment-fertility link. Advances in Life Course Research, 33, 38-52.
Wooldridge, J.M., 2002. Econometric Analysis of Cross Section and Panel Data. MIT Press, Cambridge, MA.
World Bank, 2017. World Development Indicators. Washington D.C. Available on. HYPERLINK "https://data.worldbank.org/data-catalog/world-development-indicators" https://data.worldbank.org/data-catalog/world-development-indicators .
World Inequality Report. (2018). Recuperado el Junio de 2018, de World Inequality Report: http://wir2018.wid.world/
Yumusak, I. G., Bilen, M., & Ates, H. (2013). The Impacts of Gender Inequality in Education on Economic Growth in Turkey. Procedia-Social and Behavioral Sciences, 103, 1093-1103.