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Christopher J. Bennett

Not to be confused with: Christopher Patrick Alexander Bennett, Christopher Troy Bennett

Personal Details

First Name:Christopher
Middle Name:J.
Last Name:Bennett
Suffix:
RePEc Short-ID:pbe462
https://my.vanderbilt.edu/bennettc/

Affiliation

Department of Economics
Vanderbilt University

Nashville, Tennessee (United States)
http://www.vanderbilt.edu/econ/
RePEc:edi:devanus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Chrysanthi Hatzimasoura & Christopher J. Bennett, 2011. "Poverty Measurement with Ordinal Data," Working Papers 2011-14, The George Washington University, Institute for International Economic Policy.
  2. Christopher J. Bennett & Shabana Mitra, 2011. "Multidimensional Poverty: Measurement, Estimation, and Inference," OPHI Working Papers ophiwp047, Queen Elizabeth House, University of Oxford.
  3. Christopher J. Bennett & Ricardas Zitikis, 2011. "Examining the Distributional Effects of Military Service on Earnings: A Test of Initial Dominance," Vanderbilt University Department of Economics Working Papers 1111, Vanderbilt University Department of Economics.

Articles

  1. Christopher J. Bennett & Shabana Mitra, 2013. "Multidimensional Poverty: Measurement, Estimation, and Inference," Econometric Reviews, Taylor & Francis Journals, vol. 32(1), pages 57-83, January.
  2. Christopher J. Bennett & Ričardas Zitikis, 2013. "Examining the Distributional Effects of Military Service on Earnings: A Test of Initial Dominance," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(1), pages 1-15, January.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Chrysanthi Hatzimasoura & Christopher J. Bennett, 2011. "Poverty Measurement with Ordinal Data," Working Papers 2011-14, The George Washington University, Institute for International Economic Policy.

    Cited by:

    1. Pascual-Sáez, Marta & Cantarero-Prieto, David & Lanza-León, Paloma, 2019. "The dynamics of health poverty in Spain during the economic crisis (2008–2016)," Health Policy, Elsevier, vol. 123(10), pages 1011-1018.
    2. Seth,Suman & Yalonetzky,Gaston, 2020. "Assessing Deprivation with an Ordinal Variable : Theory and Application to Sanitation Deprivation in Bangladesh," Policy Research Working Paper Series 9120, The World Bank.
    3. Clarke, Philip & Erreygers, Guido, 2020. "Defining and measuring health poverty," Social Science & Medicine, Elsevier, vol. 244(C).
    4. Marta Pascual & David Cantarero & Paloma Lanza, 2018. "Health polarization and inequalities across Europe: an empirical approach," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(8), pages 1039-1051, November.
    5. Bénédicte Apouey & David Madden, 2023. "Health poverty," Chapters, in: Jacques Silber (ed.), Research Handbook on Measuring Poverty and Deprivation, chapter 19, pages 202-211, Edward Elgar Publishing.
    6. Martyna Kobus & Olga Półchłopek & Gaston Yalonetzky, 2019. "Inequality and Welfare in Quality of Life Among OECD Countries: Non-parametric Treatment of Ordinal Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(1), pages 201-232, May.
    7. Michał Brzeziński, 2013. "Accounting for trends in health poverty: A decomposition analysis for Britain, 1991-2008," Working Papers 2013-02, Faculty of Economic Sciences, University of Warsaw.
    8. Best, Rohan & Hammerle, Mara & Mukhopadhaya, Pundarik & Silber, Jacques, 2021. "Targeting household energy assistance," Energy Economics, Elsevier, vol. 99(C).
    9. Gaston Yalonetzky, 2012. "Poverty measurement with ordinal variables: A generalization of a recent contribution," Working Papers 246, ECINEQ, Society for the Study of Economic Inequality.
    10. Silber, Jacques & Yalonetzky, Gaston, 2021. "Measuring welfare, inequality and poverty with ordinal variables," GLO Discussion Paper Series 962, Global Labor Organization (GLO).
    11. Christopher Bennett & Ričardas Zitikis, 2015. "Ignorance, lotteries, and measures of economic inequality," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 13(2), pages 309-316, June.

  2. Christopher J. Bennett & Shabana Mitra, 2011. "Multidimensional Poverty: Measurement, Estimation, and Inference," OPHI Working Papers ophiwp047, Queen Elizabeth House, University of Oxford.

    Cited by:

    1. Yulin Zhou & Lulu Wei & Feng Lan & Xiang Li & Jing Bian, 2022. "Evaluation and Optimization on Urban Regeneration Sustainability from the Perspective of Multidimensional Welfare of Resettled Resident—Evidence from Resettlement Communities in Xi’an, China," Land, MDPI, vol. 11(8), pages 1-17, August.
    2. Nowak, Daniel & Scheicher, Christoph, 2014. "Considering the extremely poor: Multidimensional poverty measurement for Germany," Discussion Papers in Econometrics and Statistics 02/14, University of Cologne, Institute of Econometrics and Statistics.
    3. Chandana Maitra & Prof. D.S Prasada Rao, 2014. "Poverty-Food Security Nexus: Evidences from a Survey of Urban Slum Dwellers in Kolkata," Discussion Papers Series 512, School of Economics, University of Queensland, Australia.
    4. James E. Foster & Sabina Alkire, 2011. "Understandings and Misunderstandings of Multidimensional Poverty Measurement," Working Papers 2011-18, The George Washington University, Institute for International Economic Policy.
    5. Virginia Robano, Stephen C. Smith, 2014. "Multidimensional Targeting and Evaluation: A General Framework with an Application to a Poverty Program in Bangladesh," OPHI Working Papers 65, Queen Elizabeth House, University of Oxford.
    6. Rolf Aaberge & Andrea Brandolini, 2014. "Multidimensional poverty and inequality," Temi di discussione (Economic working papers) 976, Bank of Italy, Economic Research and International Relations Area.
    7. Wang, Zihan & Li, Jiaxin & Liu, Jing & Shuai, Chuanmin, 2020. "Is the photovoltaic poverty alleviation project the best way for the poor to escape poverty? ——A DEA and GRA analysis of different projects in rural China," Energy Policy, Elsevier, vol. 137(C).
    8. Sabina Alkire, 2011. "Multidimensional Poverty and its Discontents," OPHI Working Papers 46, Queen Elizabeth House, University of Oxford.
    9. Pinar, Mehmet & Stengos, Thanasis & Topaloglou, Nikolas, 2020. "On the construction of a feasible range of multidimensional poverty under benchmark weight uncertainty," European Journal of Operational Research, Elsevier, vol. 281(2), pages 415-427.
    10. David Lander & David Gunawan & William Griffiths & Duangkamon Chotikapanich, 2020. "Bayesian assessment of Lorenz and stochastic dominance," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 53(2), pages 767-799, May.
    11. Daniel Nowak & Christoph Scheicher, 2017. "Considering the Extremely Poor: Multidimensional Poverty Measurement for Germany," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(1), pages 139-162, August.
    12. Christoph Bader & Sabin Bieri & Urs Wiesmann & Andreas Heinimann, 2016. "Differences Between Monetary and Multidimensional Poverty in the Lao PDR: Implications for Targeting of Poverty Reduction Policies and Interventions," Poverty & Public Policy, John Wiley & Sons, vol. 8(2), pages 171-197, June.
    13. Mehmet Pinar & Thanasis Stengos & Nikolas Topaloglou, 2022. "Stochastic dominance spanning and augmenting the human development index with institutional quality," Annals of Operations Research, Springer, vol. 315(1), pages 341-369, August.
    14. Tahsin Mehdi, 2019. "Stochastic Dominance Approach to OECD’s Better Life Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(3), pages 917-954, June.
    15. Ke-Mei Chen & Chao-Hsien Leu & Te-Mu Wang, 2019. "Measurement and Determinants of Multidimensional Poverty: Evidence from Taiwan," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 145(2), pages 459-478, September.
    16. Maureen Berner, 2017. "Multidimensional Measures of Poverty: The Potential Contribution of Non‐Profit Food Pantry Data to Assess Community Economic Condition," Poverty & Public Policy, John Wiley & Sons, vol. 9(4), pages 381-401, December.
    17. David Lander & David Gunawan & William E. Griffiths & Duangkamon Chotikapanich, 2016. "Bayesian Assessment of Lorenz and Stochastic Dominance Using a Mixture of Gamma Densities," Department of Economics - Working Papers Series 2023, The University of Melbourne.
    18. Sam Jones, 2022. "Extending multidimensional poverty identification: from additive weights to minimal bundles," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(2), pages 421-438, June.

Articles

  1. Christopher J. Bennett & Shabana Mitra, 2013. "Multidimensional Poverty: Measurement, Estimation, and Inference," Econometric Reviews, Taylor & Francis Journals, vol. 32(1), pages 57-83, January.
    See citations under working paper version above.Sorry, no citations of articles recorded.

More information

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Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-LTV: Unemployment, Inequality and Poverty (1) 2013-06-16

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