Measuring poverty dynamics with synthetic panels based on cross-sections
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- Steven Mcintosh, 2006.
"Further Analysis of the Returns to Academic and Vocational Qualifications,"
Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(2), pages 225-251, April.
- McIntosh, Steven, 2004. "Further analysis of the returns to academic and vocational qualifications," LSE Research Online Documents on Economics 19472, London School of Economics and Political Science, LSE Library.
- Steven McIntosh, 2004. "Further Analysis of the Returns to Academic and Vocational Qualifications," CEE Discussion Papers 0035, Centre for the Economics of Education, LSE.
- Guell, Maia & Hu, Luojia, 2006.
"Estimating the probability of leaving unemployment using uncompleted spells from repeated cross-section data,"
Journal of Econometrics, Elsevier, vol. 133(1), pages 307-341, July.
- Maia Güell & Luojia Hu, 2003. "Estimating the probability of leaving unemployment using uncompleted spells from repeated cross-section data," Economics Working Papers 688, Department of Economics and Business, Universitat Pompeu Fabra.
- Güell, Maia & Hu, Luojia, 2004. "Estimating the Probability of Leaving Unemployment Using Uncompleted Spells from Repeated Cross-Section Data," IZA Discussion Papers 1079, Institute of Labor Economics (IZA).
- Güell, Maia & Hu, Luojia, 2003. "Estimating the Probability of Leaving Unemployment Using Uncompleted Spells from Repeated Cross-Section Data," CEPR Discussion Papers 3957, C.E.P.R. Discussion Papers.
- Maia Güell & Luojia Hu, 2003. "Estimating the Probability of Leaving Unemployment using Uncompleted Spells from Repeated Cross-Section Data," Working Papers 41, Barcelona School of Economics.
- Maia Guell & Luojia Hu, 2003. "Estimating the Probability of Leaving Unemployment Using Uncompleted Spells from Repeated Cross-section Data," Working Papers 854, Princeton University, Department of Economics, Industrial Relations Section..
- Lorenzo Cappellari & Stephen P. Jenkins, 2006.
"Calculation of multivariate normal probabilities by simulation, with applications to maximum simulated likelihood estimation,"
Stata Journal, StataCorp LP, vol. 6(2), pages 156-189, June.
- Cappellari, Lorenzo & Jenkins, Stephen P., 2006. "Calculation of Multivariate Normal Probabilities by Simulation, with Applications to Maximum Simulated Likelihood Estimation," IZA Discussion Papers 2112, Institute of Labor Economics (IZA).
- P. Jenkins, Stephen & Cappellari, Lorenzo, 2006. "Calculation of multivariate normal probabilities by simulation, with applications to maximum simulated likelihood estimation," ISER Working Paper Series 2006-16, Institute for Social and Economic Research.
- Lorenzo Cappellari & Stephen P. Jenkins, 2006. "Calculation of Multivariate Normal Probabilities by Simulation, with Applications to Maximum Simulated Likelihood Estimation," Discussion Papers of DIW Berlin 584, DIW Berlin, German Institute for Economic Research.
- Moffitt, Robert, 1993. "Identification and estimation of dynamic models with a time series of repeated cross-sections," Journal of Econometrics, Elsevier, vol. 59(1-2), pages 99-123, September.
- Verbeek, Marno & Nijman, Theo, 1992.
"Can Cohort Data Be Treated as Genuine Panel Data?,"
Empirical Economics, Springer, vol. 17(1), pages 9-23.
- Verbeek, M. & Nijman, T., 1990. "Can Cohort Data Be Treated As Genuine Panel Data," Papers 9064, Tilburg - Center for Economic Research.
- Verbeek, M.J.C.M. & Nijman, T.E., 1990. "Can cohort data be treated as genuine panel data?," Discussion Paper 1990-64, Tilburg University, Center for Economic Research.
- Nijman, T.E. & Verbeek, M.J.C.M., 1992. "Can cohort data be treated as genuine panal data?," Other publications TiSEM 03b18da0-e22f-4b8a-b605-c, Tilburg University, School of Economics and Management.
- Richard Blundell & Alan Duncan & Costas Meghir, 1998.
"Estimating Labor Supply Responses Using Tax Reforms,"
Econometrica, Econometric Society, vol. 66(4), pages 827-862, July.
- Richard Blundell & Alan Duncan & Costas Meghir, 1995. "Estimating labour supply responses using tax reforms," IFS Working Papers W95/07, Institute for Fiscal Studies.
- McKenzie, D.J.David J., 2004. "Asymptotic theory for heterogeneous dynamic pseudo-panels," Journal of Econometrics, Elsevier, vol. 120(2), pages 235-262, June.
- Claudio A. Agostini & Philip H. Brown, 2010.
"Local Distributional Effects Of Government Cash Transfers In Chile,"
Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(2), pages 366-388, June.
- Claudio Agostini & Phillip Brown, 2007. "Local Distributional Effects of Government Cash Transfers in Chile," ILADES-UAH Working Papers inv181, Universidad Alberto Hurtado/School of Economics and Business.
- Claudio A. Agostini & Philip Brown, 2007. "Local Distributional Effects of Government Cash Transfers in Chile," William Davidson Institute Working Papers Series wp872, William Davidson Institute at the University of Michigan.
- Deaton, Angus & Paxson, Christina, 1994.
"Intertemporal Choice and Inequality,"
Journal of Political Economy, University of Chicago Press, vol. 102(3), pages 437-467, June.
- Angus Deaton & Christina Paxson, 1993. "Intertemporal Choice and Inequality," NBER Working Papers 4328, National Bureau of Economic Research, Inc.
- Deaton, A. & Paxson, C., 1993. "Intertemporal Choice and Inequality," Papers 168, Princeton, Woodrow Wilson School - Development Studies.
- Mullahy, John, 2011. "Marginal Effects in Multivariate Probit and Kindred Discrete and Count Outcome Models," Working Papers 201135, Geary Institute, University College Dublin.
- Elbers, Chris & Lanjouw, Jean O. & Lanjouw, Peter, 2002. "Micro-level estimation of welfare," Policy Research Working Paper Series 2911, The World Bank.
- Elbers, Chris & Fujii, Tomoki & Lanjouw, Peter & Ozler, Berk & Yin, Wesley, 2007.
"Poverty alleviation through geographic targeting: How much does disaggregation help?,"
Journal of Development Economics, Elsevier, vol. 83(1), pages 198-213, May.
- Elbers, Chris & Tomoki Fujii & Lanjouw, Peter & Ozler, Berk & Yin, Wesley, 2004. "Poverty alleviation through geographic targeting : how much does disaggregation help?," Policy Research Working Paper Series 3419, The World Bank.
- Patrick Sevestre & Laszlo Matyas, 2008.
"The Econometrics of Panel Data,"
Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers)
halshs-00279977, HAL.
- Patrick Sevestre & Laszlo Matyas, 2008. "The Econometrics of Panel Data," Post-Print halshs-00279977, HAL.
- Propper, Carol & Rees, Hedley & Green, Katherine, 2001.
"The Demand for Private Medical Insurance in the UK: A Cohort Analysis,"
Economic Journal, Royal Economic Society, vol. 111(471), pages 180-200, May.
- Propper, Carol & Rees, Hedley, 2000. "The Demand for Private Medical Insurance in the UK: A Cohort Analysis," CEPR Discussion Papers 2513, C.E.P.R. Discussion Papers.
- Demombynes, Gabriel & Ozler, Berk, 2005.
"Crime and local inequality in South Africa,"
Journal of Development Economics, Elsevier, vol. 76(2), pages 265-292, April.
- Demombynes, Gabriel & Ozler, Berk, 2002. "Crime and local inequality in South Africa," Policy Research Working Paper Series 2925, The World Bank.
- Inoue, Atsushi, 2008. "Efficient estimation and inference in linear pseudo-panel data models," Journal of Econometrics, Elsevier, vol. 142(1), pages 449-466, January.
- Bierbaum, Mira & Gassmann, Franziska, 2012. "Chronic and transitory poverty in the Kyrgyz Republic: What can synthetic panels tell us?," MERIT Working Papers 2012-064, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
- Demirguc-Kunt, Asli & Klapper, Leora F. & Panos, Georgios A., 2009. "Entrepreneurship in post-conflict transition : the role of informality and access to finance," Policy Research Working Paper Series 4935, The World Bank.
- Andrews,Donald W. K. & Stock,James H. (ed.), 2005. "Identification and Inference for Econometric Models," Cambridge Books, Cambridge University Press, number 9780521844413, September.
- Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
- Paul J. Devereux, 2007.
"Small-sample bias in synthetic cohort models of labor supply,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(4), pages 839-848.
- Paul J Devereux, 2006. "Small Sample Bias in Synthetic Cohort Models of Labor Supply," Working Papers 200606, School of Economics, University College Dublin.
- László Mátyás & Patrick Sevestre (ed.), 2008. "The Econometrics of Panel Data," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75892-1.
- James Banks & Richard Blundell & Agar Brugiavini, 2001.
"Risk Pooling, Precautionary Saving and Consumption Growth,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 68(4), pages 757-779.
- James Banks & Richard Blundell & Agar Brugiavini, 1999. "Risk pooling, precautionary saving and consumption growth," IFS Working Papers W99/19, Institute for Fiscal Studies.
- Friedman, Lynn & Wall, Melanie, 2005. "Graphical Views of Suppression and Multicollinearity in Multiple Linear Regression," The American Statistician, American Statistical Association, vol. 59, pages 127-136, May.
- Dang, Hai-Anh & Lanjouw, Peter & Luoto, Jill & McKenzie, David, 2014.
"Using repeated cross-sections to explore movements into and out of poverty,"
Journal of Development Economics, Elsevier, vol. 107(C), pages 112-128.
- Dang, Hai-Anh & Lanjouw, Peter & Luoto, Jill & McKenzie, David, 2011. "Using repeated cross-sections to explore movements in and out of poverty," Policy Research Working Paper Series 5550, The World Bank.
- Bourguignon, Francois & Goh, Chor-ching & Kim, Dae Il, 2004. "Estimating individual vulnerability to poverty with pseudo-panel data," Policy Research Working Paper Series 3375, The World Bank.
- John Mullahy, 2011. "Marginal Effects in Multivariate Probit and Kindred Discrete and Count Outcome Models, with Applications in Health Economics," NBER Working Papers 17588, National Bureau of Economic Research, Inc.
- Verbeek, M.J.C.M. & Nijman, T.E., 1992. "Can cohort data be treated as genuine panel data?," Other publications TiSEM d4eada8f-b91c-4fe7-a58c-7, Tilburg University, School of Economics and Management.
- Cruces, Guillermo & Lanjouw, Peter & Lucchetti, Leonardo & Perova, Elizaveta & Vakis, Renos & Viollaz, Mariana, 2011. "Intra-generational mobility and repeated cross-sections : a three-country validation exercise," Policy Research Working Paper Series 5916, The World Bank.
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Keywords
Statistical&Mathematical Sciences; Regional Economic Development; Scientific Research&Science Parks; Poverty Lines; Science Education;All these keywords.
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ECM-2013-07-05 (Econometrics)
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