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Measuring inequality using censored data: a multiple‐imputation approach to estimation and inference
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- Vladimir Hlasny, 2019.
"Redistributive Impacts of Fiscal Policies in Mexico: Corrections for Top Income Measurement Problems,"
LIS Working papers
765, LIS Cross-National Data Center in Luxembourg.
- Vladimir Hlasny, 2019. "Redistributive Impacts of Fiscal Policies in Mexico: Corrections for Top Income Measurement Problems," Commitment to Equity (CEQ) Working Paper Series 84, Tulane University, Department of Economics.
- Vladimir Hlasny, 2019. "Redistributive impacts of fiscal policies in Mexico: Corrections for top income measurement problems," Working Papers 497, ECINEQ, Society for the Study of Economic Inequality.
- Speidel, Matthias & Drechsler, Jörg & Jolani, Shahab, 2018. "R package hmi: a convenient tool for hierarchical multiple imputation and beyond," IAB-Discussion Paper 201816, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
- Dang,Hai-Anh H. & Lanjouw,Peter F. & Serajuddin,Umar & Dang,Hai-Anh H. & Lanjouw,Peter F. & Serajuddin,Umar, 2014. "Updating poverty estimates at frequent intervals in the absence of consumption data : methods and illustration with reference to a middle-income country," Policy Research Working Paper Series 7043, The World Bank.
- Dang, Hai-Anh H & Carletto, Calogero, 2022.
"Recall Bias Revisited: Measure Farm Labor Using Mixed-Mode Surveys and Multiple Imputation,"
IZA Discussion Papers
14997, Institute of Labor Economics (IZA).
- Dang, Hai-Anh H. & Carletto, Calogero, 2022. "Recall Bias Revisited: Measure Farm Labor Using Mixed-Mode Surveys and Multiple Imputation," GLO Discussion Paper Series 1020, Global Labor Organization (GLO).
- Bartels, Charlotte & Waldenström, Daniel, 2021. "Inequality and top incomes," GLO Discussion Paper Series 959, Global Labor Organization (GLO).
- Hai-Anh H. Dang & Peter F. Lanjouw & Umar Serajuddin, 2017. "Updating poverty estimates in the absence of regular and comparable consumption data: methods and illustration with reference to a middle-income country," Oxford Economic Papers, Oxford University Press, vol. 69(4), pages 939-962.
- Dang, Hai-Anh H & Kilic, Talip & Hlasny, Vladimir & Abanokova, Kseniya & Carletto, Calogero, 2024.
"Using Survey-to-Survey Imputation to Fill Poverty Data Gaps at a Low Cost: Evidence from a Randomized Survey Experiment,"
IZA Discussion Papers
16792, Institute of Labor Economics (IZA).
- Dang, Hai-Anh & Kilic, Talip & Hlasny, Vladimir & Abanokova, Kseniya & Carletto, Calogero, 2024. "Using Survey-to-Survey Imputation to Fill Poverty Data Gaps at a Low Cost: Evidence from a Randomized Survey Experiment," GLO Discussion Paper Series 1392, Global Labor Organization (GLO).
- Dang,Hai-Anh H. & Kilic,Talip & Hlasny,Vladimir & Abanokova,Ksenia & Carletto,Calogero, 2024. "Using Survey-to-Survey Imputation to Fill Poverty Data Gaps at a Low Cost : Evidence from a Randomized Survey Experiment," Policy Research Working Paper Series 10738, The World Bank.
- Vladimir Hlasny & Lidia Ceriani & Paolo Verme, 2022.
"Bottom Incomes and the Measurement of Poverty and Inequality,"
Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 68(4), pages 970-1006, December.
- Hlasny, Vladimir & Ceriani, Lidia & Verme, Paolo, 2020. "Bottom incomes and the measurement of poverty and inequality," GLO Discussion Paper Series 519, Global Labor Organization (GLO).
- Vladimir Hlasny & Lidia Ceriani & Paolo Verme, 2020. "Bottom Incomes and the Measurement of Poverty and Inequality," Working Papers 1393, Economic Research Forum, revised 20 Apr 2020.
- Vladimir Hlasny & Lidia Ceriani & Paolo Verme, 2020. "Bottom Incomes and the Measurement of Poverty and Inequality," LIS Working papers 792, LIS Cross-National Data Center in Luxembourg.
- Vladimir Hlasny & Lidia Ceriani & Paolo Verme, 2020. "Bottom incomes and the measurement of poverty and inequality," Working Papers 535, ECINEQ, Society for the Study of Economic Inequality.
- Vladimir Hlasny & Paolo Verme, 2022.
"The Impact of Top Incomes Biases on the Measurement of Inequality in the United States,"
Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(4), pages 749-788, August.
- Vladimir Hlasny & Paolo Verme, 2017. "The impact of top incomes biases on the measurement of inequality in the United States," Working Papers 452, ECINEQ, Society for the Study of Economic Inequality.
- Fix, Blair, 2018. "Capitalist income and hierarchical power: A gradient hypothesis," Working Papers on Capital as Power 2018/06, Capital As Power - Toward a New Cosmology of Capitalism.
- Philip Armour & Richard V. Burkhauser & Jeff Larrimore, 2016.
"Using The Pareto Distribution To Improve Estimates Of Topcoded Earnings,"
Economic Inquiry, Western Economic Association International, vol. 54(2), pages 1263-1273, April.
- Philip Armour & Richard V. Burkhauser & Jeff Larrimore, 2014. "Using The Pareto Distribution To Improve Estimates Of Topcoded Earnings," Working Papers 14-21, Center for Economic Studies, U.S. Census Bureau.
- Philip Armour & Richard V. Burkhauser & Jeff Larrimore, 2014. "Using the Pareto Distribution to Improve Estimates of Topcoded Earnings," NBER Working Papers 19846, National Bureau of Economic Research, Inc.
- Dang,Hai-Anh H. & Kilic,Talip & Carletto,Calogero & Abanokova,Kseniya, 2021.
"Poverty Imputation in Contexts without Consumption Data : A Revisit with Further Refinements,"
Policy Research Working Paper Series
9838, The World Bank.
- Dang, Hai-Anh H. & Kilic, Talip & Abanokova, Kseniya & Carletto, Calogero, 2025. "Poverty imputation in contexts without consumption data: a revisit with further refinements," LSE Research Online Documents on Economics 125798, London School of Economics and Political Science, LSE Library.
- Dang, Hai-Anh H & Kilic, Talip & Abanokova, Kseniya & Carletto, Calogero, 2023. "Poverty Imputation in Contexts without Consumption Data: A Revisit with Further Refinements," IZA Discussion Papers 15873, Institute of Labor Economics (IZA).
- Dang, Hai-Anh H. & Kilic, Talip & Abanokova, Kseniya & Carletto, Calogero, 2023. "Poverty Imputation in Contexts without Consumption Data: A Revisit with Further Refinements," GLO Discussion Paper Series 1226, Global Labor Organization (GLO).
- Porro Francesco, 2014. "How We Can Evaluate the Inequality in Flint," Stochastics and Quality Control, De Gruyter, vol. 29(2), pages 119-128, December.
- F. Clementi & A. L. Dabalen & V. Molini & F. Schettino, 2020. "We forgot the middle class! Inequality underestimation in a changing Sub-Saharan Africa," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 18(1), pages 45-70, March.
- Advani, Arun & Summers, Andy & Tarrant, Hannah, 2020.
"Measuring UK top incomes,"
CAGE Online Working Paper Series
490, Competitive Advantage in the Global Economy (CAGE).
- Advani, Arun & Andy Summers, Andy & Tarrant, Hannah, 2021. "Measuring UK top incomes," The Warwick Economics Research Paper Series (TWERPS) 1334, University of Warwick, Department of Economics.
- Fix, Blair, 2018. "Capitalist Income and Hierarchical Power," SocArXiv u8epv, Center for Open Science.
- Benjapon Prommawin & Nattanun Svavasu & Spol Tanpraphan & Voravee Saengavut & Theepakorn Jithitikulchai & Witsanu Attavanich & Bruce A. McCarl, 2024.
"Impacts of climate change and agricultural diversification on agricultural production value of Thai farm households,"
Climatic Change, Springer, vol. 177(7), pages 1-26, July.
- Benjapon Prommawin & Nattanun Svavasu & Spol Tanpraphan & Voravee Saengavut & Theepakorn Jithitikulchai & Witsanu Attavanich & Bruce A. McCarl, 2022. "Impacts of Climate Change and Agricultural Diversification on Agricultural Production Value of Thai Farm Households," PIER Discussion Papers 184, Puey Ungphakorn Institute for Economic Research, revised May 2024.
- Vanesa Jorda & José María Sarabia & Markus Jäntti, 2020. "Estimation of Income Inequality from Grouped Data," LIS Working papers 804, LIS Cross-National Data Center in Luxembourg.
- Greselin Francesca, 2014. "More Equal and Poorer, or Richer but More Unequal?," Stochastics and Quality Control, De Gruyter, vol. 29(2), pages 99-117, December.
- Hai‐Anh Dang & Dean Jolliffe & Calogero Carletto, 2019.
"Data Gaps, Data Incomparability, And Data Imputation: A Review Of Poverty Measurement Methods For Data‐Scarce Environments,"
Journal of Economic Surveys, Wiley Blackwell, vol. 33(3), pages 757-797, July.
- Dang,Hai-Anh H. & Jolliffe,Dean Mitchell & Carletto,Calogero & Dang,Hai-Anh H. & Jolliffe,Dean Mitchell & Carletto,Calogero, 2017. "Data gaps, data incomparability, and data imputation : a review of poverty measurement methods for data-scarce environments," Policy Research Working Paper Series 8282, The World Bank.
- Dang, Hai-Anh & Jolliffe, Dean & Carletto, Calogero, 2018. "Data Gaps, Data Incomparability, and Data Imputation: A Review of Poverty Measurement Methods for Data-Scarce Environments," GLO Discussion Paper Series 179, Global Labor Organization (GLO).
- Hai-Anh Dang & Dean Jolliffe & Calogero Carletto, 2018. "Data gaps, data incomparability, and data imputation: A review of poverty measurement methods for data-scarce environments," Working Papers 456, ECINEQ, Society for the Study of Economic Inequality.
- Nora Lustig, 2019.
"The “Missing Rich” in Household Surveys: Causes and Correction Approaches,"
Commitment to Equity (CEQ) Working Paper Series
75, Tulane University, Department of Economics.
- , Stone Center & Lustig, Nora, 2020. "The “Missing Rich” in Household Surveys: Causes and Correction Approaches," SocArXiv j23pn, Center for Open Science.
- Nora Lustig, 2020. "The ``missing rich'' in household surveys: causes and correction approaches," Working Papers 520, ECINEQ, Society for the Study of Economic Inequality.
- Clementi,Fabio & Fabiani,Michele & Molini,Vasco & Schettino,Francesco, 2022. "Is Inequality Systematically Underestimated in Sub-Saharan Africa ? A Proposal toOvercome the Problem," Policy Research Working Paper Series 10058, The World Bank.
- Doerrenberg, Philipp & Duncan, Denvil & Fuest, Clemens & Peichl, Andreas, 2012.
"Nice Guys Finish Last: Are People with Higher Tax Morale Taxed More Heavily?,"
IZA Discussion Papers
6275, Institute of Labor Economics (IZA).
- Philipp Doerrenberg & Denvil Duncan & Clemens Fuest & Andreas Peichl, 2012. "Nice guys finish last: are people with higher tax morale taxed more heavily?," Cologne Graduate School Working Paper Series 03-02, Cologne Graduate School in Management, Economics and Social Sciences.
- Philipp Doerrenberg & Denvil Duncan & Clemens Fuest & Andreas Peichl, 2012. "Nice Guys Finish Last: Are People with Higher Tax Morale Taxed more Heavily?," CESifo Working Paper Series 3858, CESifo.
- Fernando Rios-Avila & Gustavo Canavire-Bacarreza & Flavia Sacco-Capurro, 2024. "Recovering income distribution in the presence of interval-censored data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 22(4), pages 1039-1060, December.
- Lustig, Nora, 2020. "The “Missing Rich” in Household Surveys: Causes and Correction Approaches," SocArXiv j23pn_v1, Center for Open Science.
- Vladimir Hlasny & Paolo Verme, 2018.
"Top Incomes and Inequality Measurement: A Comparative Analysis of Correction Methods Using the EU SILC Data,"
Econometrics, MDPI, vol. 6(2), pages 1-21, June.
- Vladimir Hlasny & Paolo Verme, 2018. "Top incomes and inequality measurement: A comparative analysis of correction methods using the EU-SILC data," Working Papers 463, ECINEQ, Society for the Study of Economic Inequality.
- Kattumannil, Sudheesh K. & Dewan, Isha & N., Sreelaksmi, 2021. "Non-parametric estimation of Gini index with right censored observations," Statistics & Probability Letters, Elsevier, vol. 175(C).
- Nora Lustig & Andrea Vigorito, 2025. "Including the Rich in Income Inequality Measures: An Assessment of Correction Approaches," Working Papers 2503, Tulane University, Department of Economics.
- Conrad Scheibe, 2016. "Fiscal Consolidations and Their Effects on Income Inequality," UCL SSEES Economics and Business working paper series 2016-4, UCL School of Slavonic and East European Studies (SSEES).
- Markus P. A. Schneider, 2013. "Race & Gender Differences in the Experience of Earnings Inequality in the US from 1995 to 2010," Working Papers 1303, New School for Social Research, Department of Economics.
- Lucio Barabesi & Giancarlo Diana & Pier Perri, 2015. "Gini index estimation in randomized response surveys," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 99(1), pages 45-62, January.
- Frank A. Cowell & Philippe Kerm, 2015. "Wealth Inequality: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 29(4), pages 671-710, September.
- Vladimir Hlasny, 2021.
"Parametric representation of the top of income distributions: Options, historical evidence, and model selection,"
Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1217-1256, September.
- Vladimir Hlasny, 2020. "Parametric Representation of the Top of Income Distributions: Options, Historical Evidence and Model Selection," Working Papers 547, ECINEQ, Society for the Study of Economic Inequality.
- Vladimir Hlasny, 2020. "Parametric Representation of the Top of Income Distributions: Options, Historical Evidence and Model Selection," Commitment to Equity (CEQ) Working Paper Series 90, Tulane University, Department of Economics.
- Jonathan D. Fisher & David S. Johnson & Timothy M. Smeeding, 2013. "Measuring the Trends in Inequality of Individuals and Families: Income and Consumption," American Economic Review, American Economic Association, vol. 103(3), pages 184-188, May.
- Nora Lustig, 2018. "Measuring the Distribution of Household Income, Consumption and Wealth: State of Play and Measurement Challenges," Working Papers 1801, Tulane University, Department of Economics.
- Christian Schluter & Mark Trede, 2024. "Spatial earnings inequality," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 22(3), pages 531-550, September.
- Li Tan, 2021. "Imputing Top‐Coded Income Data in Longitudinal Surveys," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(1), pages 66-87, February.
- Emmenegger Jana & Münnich Ralf, 2023. "Localising the Upper Tail: How Top Income Corrections Affect Measures of Regional Inequality," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 243(3-4), pages 285-317, June.
- Dang, Hai-Anh H & Carletto, Calogero & Gourlay, Sydney & Abanokova, Kseniya, 2024.
"Addressing Soil Quality Data Gaps with Imputation: Evidence from Ethiopia and Uganda,"
IZA Discussion Papers
17064, Institute of Labor Economics (IZA).
- Dang, Hai-Anh & Carletto, Calogero & Gourlay, Sydney & Abanokova, Kseniya, 2024. "Addressing Soil Quality Data Gaps with Imputation: Evidence from Ethiopia and Uganda," GLO Discussion Paper Series 1445, Global Labor Organization (GLO).
- Jekaterina Navickė & Romas Lazutka, 2018. "Distributional Implications of the Economic Development in the Baltics: Reconciling Micro and Macro Perspectives," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 138(1), pages 187-206, July.
- von Fintel, Dieter & Orthofer, Anna, 2020. "Wealth inequality and financial inclusion: Evidence from South African tax and survey records," Economic Modelling, Elsevier, vol. 91(C), pages 568-578.
- Philipp Doerrenberg & Denvil Duncan & Clemens Fuest & Andreas Peichl, 2014. "Nice Guys Finish Last: Do Honest Taxpayers Face Higher Tax Rates?," Kyklos, Wiley Blackwell, vol. 67(1), pages 29-53, February.
- Vanesa Jorda & José María Sarabia & Markus Jäntti, 2021. "Inequality measurement with grouped data: Parametric and non‐parametric methods," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(3), pages 964-984, July.
- Saparya Suresh & Sudheesh K. Kattumannil, 2025. "Jackknife empirical likelihood ratio test for testing the equality of semivariance," Statistical Papers, Springer, vol. 66(1), pages 1-17, January.