Noncomparable Poverty Comparisons

References

• Banerjee, A. V. (2016). Policies for a better-fed world. Review of World Economics, 152(1), 3–17. doi:10.1007/s10290-015-0236-7
   Web of Science ®Google Scholar
• Banerjee, A. V., & Duflo, E. (2007). the economic lives of the poor. Journal of Economic Perspectives, 21(1), 141–167. doi:10.1257/jep.21.1.141
   PubMed Web of Science ®Google Scholar
• Barker, D. (1988). Mothers, babies and health in later life. Edinburgh: Churchill Livingston.
   Google Scholar
• Barker, D. (2002). Fetal origins of adult disease: Strength of effects and biological basis. International Journal of Epidemiology, 31, 1235–1239. doi:10.1093/ije/31.6.1235
   PubMed Web of Science ®Google Scholar
• Barsky, R., & Miron, J. (1988). The seasonal cycle and the business cycle (NBER Working Paper No. 2688). Cambridge, MA: National Bureau of Economic Research. Retrieved from http://core.ac.uk/download/pdf/6743999.pdf
   Google Scholar
• Carletto, C., Jolliffe, D., & Banerjee, R. (2015). From tragedy to renaissance: Improving agricultural data for better policies. The Journal of Development Studies, 51, 133–148. doi:10.1080/00220388.2014.968140
   Web of Science ®Google Scholar
• D’Souza, A., & Jolliffe, D. (2012). Rising food prices and coping strategies: Household-level evidence from Afghanistan. Journal of Development Studies, 48, 282–299. doi:10.1080/00220388.2011.635422
   Web of Science ®Google Scholar
• Datt, G., & Ravallion, M. (1992). Growth and redistribution components of changes in poverty measures. A decomposition with applications to Brazil and India in the 1980s. Journal of Development Economics, 38, 275–295. doi:10.1016/0304-3878(92)90001-P
   Web of Science ®Google Scholar
• Deaton, A. (1991). Saving and liquidity constraints. Econometrica, 59(5), 1221–1248. doi:10.2307/2938366
   Web of Science ®Google Scholar
• Ferreira, F. H. G., Chen, S., Dabalen, A., Dikhanov, Y., Hamadeh, N., Jolliffe, D., … Yoshida, N. (2016). A global count of the extreme poor in 2012: Data issues, methodology and initial results. The Journal of Economic Inequality, 14, 141–172. doi:10.1007/s10888-016-9326-6
   Web of Science ®Google Scholar
• Foster, J. (1983). An axiomatic characterization of the Theil measure of income inequality. Journal of Economic Theory, 31(1), 105–121. doi:10.1016/0022-0531(83)90023-6
   Web of Science ®Google Scholar
• Foster, J., Greer, J., & Thorbecke, E. (1984). A class of decomposable poverty measures. Econometrica, 52, 761–765. doi:10.2307/1913475
   Web of Science ®Google Scholar
• Gibson, J., Huang, J., & Rozelle, S. (2001). Why is income inequality so low in China compared to other countries? The effect of household survey methods. Economics Letters, 71, 329–333. doi:10.1016/S0165-1765(01)00357-3
   Web of Science ®Google Scholar
• Gibson, J., Huang, J., & Rozelle, S. (2003). Improving estimates of inequality and poverty from urban china’s household income and expenditure survey. Review of Income and Wealth, 49, 53–68. doi:10.1111/1475-4991.00074
   Google Scholar
• Godfrey, K. M., & Barker, D. (2000). Fetal nutrition and adult disease. American Journal of Clinical Nutrition, 71, 1344s–1352s.
   PubMed Web of Science ®Google Scholar
• Grosh, M. E., & Glewwe, P. (Eds.). (2000). Designing household survey questionnaires for developing countries: Lessons from 15 years of the living standards measurement study. Washington, D.C: World Bank.
   Google Scholar
• Hackman, D. A., & Farah, M. J. (2009). Socioeconomic status and the developing brain. Trends in Cognitive Sciences, 13(2), 65–73. doi:10.1016/j.tics.2008.11.003
   PubMed Web of Science ®Google Scholar
• Haushofer, J., & Fehr, E. (2014). On the psychology of poverty. Science, 344, 862–867. doi:10.1126/science.1232491
   PubMed Web of Science ®Google Scholar
• Howes, S., & Lanjouw, J. O. (1998). Does sample design matter for poverty comparisons. Review of Income and Wealth, 44(1), 99–109. doi:10.1111/j.1475-4991.1998.tb00254.x
   Google Scholar
• Jolliffe, D., Datt, G., & Sharma, M. (2004). Robust poverty and inequality measurement in Egypt: Correcting for spatial-price variation and sample design effects. Review of Development Economics, 8, 557–572. doi:10.1111/rode.2004.8.issue-4
   Google Scholar
• Jolliffe, D., Gundersen, C., Tiehen, L., & Winicki, J. (2005). Food stamp benefits and child poverty. American Journal of Agricultural Economics, 87, 569–581. doi:10.1111/ajae.2005.87.issue-3
   Web of Science ®Google Scholar
• Jolliffe, D., Lanjouw, P., Chen, S., Kraay, A., Meyer, C., Negre, M., … Wethli, K. (2014). A measured approach to ending poverty and boosting shared prosperity: Concepts, data, and the twin goals. (Policy Research Report). Washington, DC: World Bank. doi:10.1596/978-1-4648-0361-1
   Google Scholar
• Jolliffe, D., & Semykina, A. (1999). A robust standard errors for the Foster-Greer-Thorbecke class of poverty indices: SEPOV. Stata Technical Bulletin, STB-51(sg117), 34–36.
   Google Scholar
• Jolliffe, D., & Ziliak, J. P. (Eds.). (2008). Income volatility and food assistance in the United States. Kalamazoo, MI: W.E. Upjohn Institute. doi:10.17848/9781435684126
   Google Scholar
• Jordanian Department of Statistics & World Bank. (2009). Hashemite Kingdom of Jordan: Poverty update, volume 1 (Report No. 47951-JO). Washington, DC: World Bank. Retrieved from http://documents.worldbank.org/curated/en/2009/11/11385619/hashemite-kingdom-jordan-poverty-update-vol-1-2-main-report
   Google Scholar
• Kazianga, H., & Christopher, U. (2006). Consumption smoothing? Livestock, insurance and drought in rural Burkina Faso. Journal of Development Economics, 79, 413–446. doi:10.1016/j.jdeveco.2006.01.011
   Web of Science ®Google Scholar
• Khandker, S. (2012). Seasonality of income and poverty in bangladesh. Journal of Development Economics, 97, 244–56. doi: 10.1016/j.jdeveco.2011.05.001.
   Web of Science ®Google Scholar
• Kish, L. (1965). Survey Sampling. A Wiley Interscience Publication. New York: Wiley.
   Google Scholar
• Malmendier, U., & Nagel, S. (2011). Depression babies: Do macroeconomic experiences affect risk taking? Quarterly Journal of Economics, 126(1), 373–416. doi:10.1093/qje/qjq004
   Web of Science ®Google Scholar
• Mansour, W. (2012). The patterns and determinants of household welfare growth in Jordan 2002–2010 (Policy Research Working Paper No. 6249). Washington, DC: World Bank.
   Google Scholar
• Parker, J. (2015). Why don’t households smooth consumption? Evidence from a 25 million dollar experiment (NBER Working Paper Series No. w21369). Cambridge, MA: National Bureau of Economic Research. Retrieved from http://www.nber.org/papers/w21369.pdf
   Google Scholar
• Ravallion, M. (1998). Poverty lines in theory and practice (Living Standards Measurement Study Working Paper No. 113). Washington, D.C.: World Bank.
   Google Scholar
• Ravallion, M., & Bidani, B. (1994). How robust is a poverty profile? The World Bank Economic Review, 8(1), 75–102. doi:10.1093/wber/8.1.75
   Web of Science ®Google Scholar
• Smith, L., Dupriez, O., & Troubat, N. (2014). Assessment of the reliability and relevance of the food data collected in national household consumption and expenditure surveys (IHSN Working Paper No. 008). International Household Survey Network. Retrieved from http://www.ihsn.org/home/sites/default/files/resources/IHSN_WP008_EN.pdf
   Google Scholar
• Wiley, R. H. (1965). Survey sampling. A Wiley Interscience Publication. New York, NY: Wiley.
   Google Scholar
• Wolter, K. (1985). Introduction to variance estimation. New York: Springer Verlag.
   Google Scholar
• World Bank. (2012). The Hashemite Kingdom of Jordan, A note on updating poverty measurement methodology: Background paper for the Jordan poverty reduction strategy. Unpublished manuscript.
   Google Scholar
• World Bank. (2014). Global monitoring report 2014/2015: Ending poverty and sharing prosperity. Washington, DC: World Bank. doi:10.1596/978-1-4648-0336-9
   Google Scholar
• Zeldes, S. (1989). Consumption and liquidity constraints: An empirical investigation. Journal of Political Economy, 97, 305–346. doi:10.1086/261605
   Web of Science ®Google Scholar