Partial Identification of Economic Mobility: With an Application to the United States
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DOI: 10.1080/07350015.2019.1569527
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- Millimet, Daniel L. & Li, Hao & Roychowdhury, Punarjit, 2019. "Partial Identification of Economic Mobility: With an Application to the United States," IZA Discussion Papers 12085, Institute of Labor Economics (IZA).
References listed on IDEAS
- Donald W. K. Andrews, 2000. "Inconsistency of the Bootstrap when a Parameter Is on the Boundary of the Parameter Space," Econometrica, Econometric Society, vol. 68(2), pages 399-406, March.
- Bruce D. Meyer & Wallace K. C. Mok & James X. Sullivan, 2015.
"Household Surveys in Crisis,"
Journal of Economic Perspectives, American Economic Association, vol. 29(4), pages 199-226, Fall.
- Bruce D. Meyer & Wallace K.C. Mok & James X. Sullivan, 2015. "Household Surveys in Crisis," NBER Working Papers 21399, National Bureau of Economic Research, Inc.
- Craig Gundersen & Brent Kreider, 2008.
"Food Stamps and Food Insecurity: What Can Be Learned in the Presence of Nonclassical Measurement Error?,"
Journal of Human Resources, University of Wisconsin Press, vol. 43(2), pages 352-382.
- Gundersen, Craig & Kreider, Brent, 2006. "Food Stamps and Food Insecurity: What Can Be Learned in the Presence of Non-Classical Measurement Error?," Staff General Research Papers Archive 12690, Iowa State University, Department of Economics.
- Gundersen, Craig & Kreider, Brent, 2008. "Food Stamps and Food Insecurity What Can Be Learned in the Presence of Nonclassical Measurement Error?," ISU General Staff Papers 200804010700001260, Iowa State University, Department of Economics.
- Dimitris Pavlopoulos & Ruud Muffels & Jeroen K. Vermunt, 2012. "How real is mobility between low pay, high pay and non-employment?," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(3), pages 749-773, July.
- Kreider, Brent & Pepper, John V., 2007.
"Disability and Employment: Reevaluating the Evidence in Light of Reporting Errors,"
Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 432-441, June.
- Kreider, Brent & Pepper, John V., 2003. "Disability and Employment: Reevaluating the Evidence in Light of Reporting Errors," Staff General Research Papers Archive 10229, Iowa State University, Department of Economics.
- Kreider, Brent & Pepper, John V., 2007. "Disability and Employment: Reevaluating the Evidence in Light of Reporting Errors," ISU General Staff Papers 200706010700001258, Iowa State University, Department of Economics.
- James J. Heckman & Jeffrey Smith & Nancy Clements, 1997. "Making The Most Out Of Programme Evaluations and Social Experiments: Accounting For Heterogeneity in Programme Impacts," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 487-535.
- Kathleen McGarry, 1995. "Measurement Error and Poverty Rates of Widows," Journal of Human Resources, University of Wisconsin Press, vol. 30(1), pages 113-134.
- Honoré,Bo & Pakes,Ariel & Piazzesi,Monika & Samuelson,Larry (ed.), 2017. "Advances in Economics and Econometrics," Cambridge Books, Cambridge University Press, number 9781316510520, October.
- Horowitz, Joel L & Manski, Charles F, 1995. "Identification and Robustness with Contaminated and Corrupted Data," Econometrica, Econometric Society, vol. 63(2), pages 281-302, March.
- Brent Kreider & John Pepper, 2008.
"Inferring disability status from corrupt data,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(3), pages 329-349.
- John Pepper & Brent Kreider, 2001. "Inferring Disability Status from Corrupt Data," Virginia Economics Online Papers 354, University of Virginia, Department of Economics.
- Kreider, Brent & Pepper, John, 2008. "Inferring disability status from corrupt data," ISU General Staff Papers 200804010700001637, Iowa State University, Department of Economics.
- Kreider, Brent & Pepper, John V., 2003. "Inferring Disability Status from Corrupt Data," Staff General Research Papers Archive 10228, Iowa State University, Department of Economics.
- Victor Chernozhukov & Han Hong & Elie Tamer, 2007. "Estimation and Confidence Regions for Parameter Sets in Econometric Models," Econometrica, Econometric Society, vol. 75(5), pages 1243-1284, September.
- Peter Gottschalk & Minh Huynh, 2010.
"Are Earnings Inequality and Mobility Overstated? The Impact of Nonclassical Measurement Error,"
The Review of Economics and Statistics, MIT Press, vol. 92(2), pages 302-315, May.
- Peter Gottschalk & Minh Huynh, 2006. "Are Earnings Inequality and Mobility Overstated? The Impact of Non-Classical Measurement Error," Boston College Working Papers in Economics 649, Boston College Department of Economics.
- Gottschalk, Peter T. & Huynh, Minh, 2006. "Are Earnings Inequality and Mobility Overstated? The Impact of Non-Classical Measurement Error," IZA Discussion Papers 2327, Institute of Labor Economics (IZA).
- Honoré,Bo & Pakes,Ariel & Piazzesi,Monika & Samuelson,Larry (ed.), 2017. "Advances in Economics and Econometrics," Cambridge Books, Cambridge University Press, number 9781108400022, October.
- Paul Glewwe, 2012. "How Much of Observed Economic Mobility is Measurement Error? IV Methods to Reduce Measurement Error Bias, with an Application to Vietnam," The World Bank Economic Review, World Bank, vol. 26(2), pages 236-264.
- Charles F. Manski & John V. Pepper, 2000.
"Monotone Instrumental Variables, with an Application to the Returns to Schooling,"
Econometrica, Econometric Society, vol. 68(4), pages 997-1012, July.
- Charles F. Manski & John V. Pepper, 1998. "Monotone Instrumental Variables with an Application to the Returns to Schooling," NBER Technical Working Papers 0224, National Bureau of Economic Research, Inc.
- Charles F. Manski & John V. Pepper, 1998. "Monotone Instrumental Variables: With an Application to the Returns to Schooling," Virginia Economics Online Papers 308, University of Virginia, Department of Economics.
- 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.
- Honoré,Bo & Pakes,Ariel & Piazzesi,Monika & Samuelson,Larry (ed.), 2017. "Advances in Economics and Econometrics," Cambridge Books, Cambridge University Press, number 9781108400008, October.
- Michael Lechner, 1999.
"Nonparametric bounds on employment and income effects of continuous vocational training in East Germany,"
Econometrics Journal, Royal Economic Society, vol. 2(1), pages 1-28.
- Lechner, Michael, 1996. "Nonparametric bounds on employment and income effects of continuous vocational training in East Germany," ZEW Discussion Papers 96-31, ZEW - Leibniz Centre for European Economic Research.
- Honoré,Bo & Pakes,Ariel & Piazzesi,Monika & Samuelson,Larry (ed.), 2017. "Advances in Economics and Econometrics," Cambridge Books, Cambridge University Press, number 9781108414982, October.
- Arie Kapteyn & Jelmer Y. Ypma, 2007. "Measurement Error and Misclassification: A Comparison of Survey and Administrative Data," Journal of Labor Economics, University of Chicago Press, vol. 25(3), pages 513-551.
- Wojciech Kopczuk & Emmanuel Saez & Jae Song, 2010. "Earnings Inequality and Mobility in the United States: Evidence from Social Security Data Since 1937," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(1), pages 91-128.
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Cited by:
- Li, Hao & Millimet, Daniel L. & Roychowdhury, Punarjit, 2019. "Measuring Economic Mobility in India Using Noisy Data: A Partial Identification Approach," IZA Discussion Papers 12505, Institute of Labor Economics (IZA).
- Ding Liu & Daniel L. Millimet, 2021. "Bounding the joint distribution of disability and employment with misclassification," Health Economics, John Wiley & Sons, Ltd., vol. 30(7), pages 1628-1647, July.
- Brantly Callaway & Tong Li & Irina Murtazashvili, 2021. "Distributional Effects with Two-Sided Measurement Error: An Application to Intergenerational Income Mobility," Papers 2107.09235, arXiv.org, revised Jun 2024.
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More about this item
JEL classification:
- C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
- D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
- I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
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