IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v27y2020i15p1289-1294.html
   My bibliography  Save this article

Measuring and detecting situations of need and deprivation using Graded Response models

Author

Listed:
  • Lorenzo Corsini
  • Irene Martelli

Abstract

We exploit information on living conditions of households to build an estimation of their degree of need and deprivation. The information we use is often subjective and we assume that deprivation is a latent variable that we estimate with item response theory models on Italian data. Then, we relate this estimated trait to more objective and observable variables that thus could be used within policy actions and welfare programmes to pinpoint situations where the estimated deprivation is high.

Suggested Citation

  • Lorenzo Corsini & Irene Martelli, 2020. "Measuring and detecting situations of need and deprivation using Graded Response models," Applied Economics Letters, Taylor & Francis Journals, vol. 27(15), pages 1289-1294, September.
    • Handle: RePEc:taf:apeclt:v:27:y:2020:i:15:p:1289-1294
    DOI: 10.1080/13504851.2019.1677843
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13504851.2019.1677843
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/13504851.2019.1677843?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Lorenzo Corsini, 2013. "How unemployment benefits affect individuals of different wealth classes," International Journal of Manpower, Emerald Group Publishing Limited, vol. 34(6), pages 693-711, September.
    2. P. Jenkins, Stephen & Cappellari, Lorenzo, 2006. "Summarizing multiple deprivation indicators," ISER Working Paper Series 2006-40, Institute for Social and Economic Research.
    3. Bloemen, Hans G & Stancanelli, Elena G F, 2001. "Individual Wealth, Reservation Wages, and Transitions into Employment," Journal of Labor Economics, University of Chicago Press, vol. 19(2), pages 400-439, April.
    4. Raj Chetty, 2008. "Moral Hazard vs. Liquidity and Optimal Unemployment Insurance," NBER Working Papers 13967, National Bureau of Economic Research, Inc.
    5. repec:hal:wpspec:info:hdl:2441/9704 is not listed on IDEAS
    6. Jean-Benoit Hardouin & Angelique Bonnaud-Antignac & Veronique Sebille, 2011. "Nonparametric item response theory using Stata," Stata Journal, StataCorp LP, vol. 11(1), pages 30-51, March.
    7. Jenkins, Stephen P. & Micklewright, John (ed.), 2007. "Inequality and Poverty Re-Examined," OUP Catalogue, Oxford University Press, number 9780199218127, Decembrie.
    8. Monica Szeles & Alessio Fusco, 2013. "Item response theory and the measurement of deprivation: evidence from Luxembourg data," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(3), pages 1545-1560, April.
    9. repec:hal:spmain:info:hdl:2441/9704 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Monica Szeles & Alessio Fusco, 2013. "Item response theory and the measurement of deprivation: evidence from Luxembourg data," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(3), pages 1545-1560, April.
    2. Michela Gnaldi & Simone Del Sarto, 2018. "Variable Weighting via Multidimensional IRT Models in Composite Indicators Construction," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(3), pages 1139-1156, April.
    3. FUSCO Alessio, 2012. "The relationship between income and housing deprivation in Luxembourg: a longitudinal analysis," LISER Working Paper Series 2012-10, Luxembourg Institute of Socio-Economic Research (LISER).
    4. Joseph Deutsch & Anne-Catherine Guio & Marco Pomati & Jacques Silber, 2015. "Material Deprivation in Europe: Which Expenditures are Curtailed First?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 120(3), pages 723-740, February.
    5. P. Jenkins, Stephen & Sacker, Amanda & P. Taylor, Mark, 2011. "Financial capability, income and psychological wellbeing," ISER Working Paper Series 2011-18, Institute for Social and Economic Research.
    6. RAILEANU SZELES Monica & FUSCO Alessio, 2009. "Item response theory and the measurement of deprivation: Evidence from PSELL-3," IRISS Working Paper Series 2009-05, IRISS at CEPS/INSTEAD.
    7. Zenghui Huo & Mei Zhang, 2023. "Multidimensional Deprivation and Subgroup Heterogeneity of Rural Households in China: Empirical Evidence from Latent Variable Estimation Methods," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 165(3), pages 975-997, February.
    8. Lorenzo Corsini, 2011. "On Wealth, Unemployment Benefits and Unemployment Duration: some Evidence from Italy," Discussion Papers 2011/119, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    9. Milo Vandemoortele, 2014. "Measuring Household Wealth with Latent Trait Modelling: An Application to Malawian DHS Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 118(2), pages 877-891, September.
    10. Kyle Herkenhoff & Lee Ohanian, 2019. "The Impact of Foreclosure Delay on U.S. Employment," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 31, pages 63-83, January.
    11. Tal Gross & Timothy J. Layton & Daniel Prinz, 2022. "The Liquidity Sensitivity of Healthcare Consumption: Evidence from Social Security Payments," American Economic Review: Insights, American Economic Association, vol. 4(2), pages 175-190, June.
    12. Sergio Ocampo & Juan Herreño, 2023. "The Macroeconomic Consequences of Subsistence Self-Employment," University of Western Ontario, Departmental Research Report Series 20231, University of Western Ontario, Department of Economics.
    13. Anne-Catherine Guio & David Gordon & Eric Marlier & Hector Najera & Marco Pomati, 2018. "Towards an EU measure of child deprivation," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 11(3), pages 835-860, June.
    14. Shang, Longfei & Saffar, Walid, 2023. "Employment Protection and Household Mortgage Debt," Journal of Banking & Finance, Elsevier, vol. 149(C).
    15. Khurshid Alam & Sakiba Tasneem & Molla Huq, 2014. "Reservation wage of female volunteer community health workers in Dhaka urban slums: a bidding game approach," Health Economics Review, Springer, vol. 4(1), pages 1-10, December.
    16. Joachim Merz & Tim Rathjen, 2011. "Intensity of Time and Income Interdependent Multidimensional Poverty: Well-Being and Minimum 2DGAP – German Evidence," FFB-Discussionpaper 92, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
    17. Mei Zhang & Xinliang Wang, 2023. "Measurement of Common Prosperity of Chinese Rural Households Using Graded Response Models: Evidence from Zhejiang Province," IJERPH, MDPI, vol. 20(5), pages 1-16, March.
    18. Haroon Bhorat & David Tseng, 2012. "The Newly Unemployed and the UIF Take-up Rate in the South African Labour Market," Working Papers 12147, University of Cape Town, Development Policy Research Unit.
    19. Léo Aparisi de Lannoy & Xavier Ragot, 2017. "Une (ré) assurance chômage européenne," SciencePo Working papers Main hal-03455381, HAL.
    20. Gerards, Ruud & Welters, Ricardo, 2016. "Impact of financial pressure on unemployed job search, job find success and job quality," ROA Research Memorandum 008, Maastricht University, Research Centre for Education and the Labour Market (ROA).

    More about this item

    JEL classification:

    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:apeclt:v:27:y:2020:i:15:p:1289-1294. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEL20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.