Non-parametric analysis of poverty duration using repeated cross section: an application for Peru

References

• Alkire, S., M. Apablaza, S. Chakravarty, and G. Yalonetzky. 2014. Measuring Chronic Multidimensional Poverty: A Counting Approach. OPHI Working Papers 75, University of Oxford.
   Google Scholar
• Antma, F., and D. McKenzie. 2007. “Earnings Mobility and Measurement Error: A Pseudo-Panel Approach.” Economic Development and Cultural Change 56: 125–162. doi:10.1086/520561.
   Web of Science ®Google Scholar
• Arranz, J., and O. Cantó. 2012. “Measuring the Effect of Spell Recurrence on Poverty Dynamics—Evidence from Spain.” The Journal of Economic Inequality 10 (2, June): 191–217. doi:10.1007/s10888-011-9191-2.
   Web of Science ®Google Scholar
• Azevedo, J., M. Davalos, C. Diaz-Bonilla, B. Atuesta, and R. Castaneda. 2013. Fifteen Years of Inequality in Latin America: How Have Labor Markets Helped? Policy Research Working Paper No. WPS 6384. Washington, DC: World Bank.
   Google Scholar
• Bane, M. J., and D. T. Ellwood. 1986. “Slipping Into and Out of Poverty: The Dynamics of Spells.” Journal of Human Resources 21 (1): 23.
   Web of Science ®Google Scholar
• Banks, J., R. Blundell, and A. Brugiavini. 2001. “Risk Pooling, Precautionary Saving and Consumption Growth.” The Review of Economic Studies 68 (4): 757–779. doi:10.1111/1467-937X.00189.
   Web of Science ®Google Scholar
• Baulch, B., and J. Hoddinott, eds.. 2000. Economic Mobility and Poverty Dynamics in Developing Countries. London: Frank Cass.
   Google Scholar
• BCRP. 2013. “Statistical series from BCRP.” http://estadisticas.bcrp.gob.pe/index.asp?sFrecuencia=A
   Google Scholar
• Caruso, G. (2012) Do Social Programs Reduce Poverty Duration?. An application for the Supplemental Security Income program, University of Illinois at Urbana-Champaign
   Google Scholar
• Christiaensen, L., and A. Shorrocks. 2012. “Measuring Poverty over Time.” The Journal of Economic Inequality 10 (2): 137–143. doi:10.1007/s10888-012-9225-4.
   Web of Science ®Google Scholar
• Cleves, M., W. W. Gould, R. G. Gutierrez, and Y. Marchenko. 2008. An Introduction to Survival Analysis Using Stata. 2nd ed. College Station, TX: Stata Press.
   Google Scholar
• Cruces, G., P. Lanjouw, L. Lucchetti, E. Perova, R. Vakis, and M. Viollaz. 2012. “Intra-generational Mobility and Repeated Cross-Sections.” Policy Research Working Paper No 5916. Washington, DC: The World Bank.
   Google Scholar
• Cuesta, J., H. Nopo, and G. Pizzolitto. 2011. “Using Pseudo-Panels to Estimate Income Mobility in Latin America.” Review of Income and Wealth 57 (2): 224–246.
   Web of Science ®Google Scholar
• Dang, H., P. Lanjouw, J. Luoto, and D. McKenzie. 2011. “Using Repeated Cross-Sections to Explore Movements in and out of Poverty.” Policy Research Working Paper No 5550. Washington, DC: The World Bank.
   Google Scholar
• Dang, H. A., P. Lanjouw, J. Luoto, and D. McKenzie. 2014. “Using Repeated Cross-Sections to Explore Movements into and Out of Poverty.” Journal of Development Economics 107: 112–128. doi:10.1016/j.jdeveco.2013.10.008.
   Web of Science ®Google Scholar
• Dang, H. A., and P. F. Lanjouw. 2013. “Measuring Poverty Dynamics with Synthetic Panels Based on Cross-Sections.” World Bank Policy Research Working Paper, No. 6504. The World Bank.
   Google Scholar
• Deaton, A. 1985. “Panel Data from Time Series of Cross-Sections.” Journal of Econometrics 30: 109–216. doi:10.1016/0304-4076(85)90134-4.
   Web of Science ®Google Scholar
• Deaton, A., and C. Paxson. 1994. “Intertemporal Choice and Consumption Inequality.” Journal of Political Economy 102: 437–467. doi:10.1086/261941.
   Web of Science ®Google Scholar
• Dercon, S., and J. S. Shapiro. 2007. Moving on, Staying Behind, Getting Lost: Lessons on Poverty Mobility from Longitudinal Data. In Moving Out of Poverty: Cross-disciplinary Perspectives on Mobility, edited by D. Narayan and P. Petesch, 77–126. Washington, DC: The World Bank.
   Google Scholar
• Fields, G.,  R. Duval, S. Freije and M. L. Sanchez.  2007. “Intergenerational Income Mobility in Latin America. Economia-Journal of LACEA 7 (2).
   Google Scholar
• Fields, G., and M. Viollaz 2013. Can the Limitations of Panel Datasets be Overcome by Using Pseudo-Panels to Estimate Income Mobility? Unpublished manuscript.
   Google Scholar
• Gaiha, R. 1988. “Income Mobility in Rural India.” Economic Development and Cultural Change 36 (2, January): 279–302. doi:10.1086/451652.
   Web of Science ®Google Scholar
• Gonzales, M., D. Martin, L. Gonzales, and F. Velasco. 2007. “A Cross-Sectional and Longitudinal Analysis of Poverty in Germany.” Journal of Quantitative Methods for Economics and Business Administration 4: 7–34.
   Google Scholar
• Grades, F., G. Duncan, P. Gaubert, M. Gurgand, and C. Starzec. 2005. “Panel and Pseudo-Panel Estimation of Cross-Sectional and Time Series Elasticities of Food Consumption: The Case of U.S. and Polish Data.” Journal of Business & Economic Statistics 23 (2, (Apr)): 242–253. doi:10.1198/073500104000000587.
   Web of Science ®Google Scholar
• Imai, K. S., and J. You. 2014. “Poverty Dynamics of Households in Rural China.” Oxford Bulletin of Economics and Statistics 76 (6): 898–923. doi:10.1111/obes.2014.76.issue-6.
   Web of Science ®Google Scholar
• INEI. 2013. “2002-2011 ENAHO microdata and technical documentation.” www.inei.gob.pe/srienaho/Consulta_por_Encuesta.asp
   Google Scholar
• Kyzyma, I. 2012. Changes in the Patterns of Poverty Duration in Germany Over 1992-2010. CEPS/INSTEAD Mimeo.
   Google Scholar
• Pencavel, J. 2007. “Earnings, Inequality, Labour Supply and Schooling In Husband-Wife Families.” Bulletin of Economic Research 59: PP 83–124. doi:10.1111/j.0307-3378.2007.00256.x.
   Google Scholar
• Şeker, S. D., and M. Dayıoğlu. 2015. “Poverty Dynamics in Turkey.” Review of Income and Wealth 61 (3): 477–493. doi:10.1111/roiw.2015.61.issue-3.
   Web of Science ®Google Scholar
• Smith-Clarke, C., A. Mashhadi, and L. Capra. 2014. “Poverty on the Cheap: Estimating Poverty Maps Using Aggregated Mobile Communication Networks.” In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, April, 511–520. New York: ACM.
   Google Scholar
• Wooldridge, J. 2010. Econometric Analysis of Cross Section and Panel Data. 2nd ed. Cambridge (MA): The MIT Press.
   Google Scholar
• World Bank. 2013 PovcalNet: An online poverty analysis tool. http://iresearch.worldbank.org/PovcalNet
   Google Scholar
• You, J. 2011. “Evaluating Poverty Duration and Transition: A Spell-Approach to Rural China.” Applied Economics Letters 18 (14): 1377–1382. doi:10.1080/13504851.2010.537625.
   Web of Science ®Google Scholar