IDEAS home Printed from https://ideas.repec.org/p/pas/asarcc/2019-05.html
   My bibliography  Save this paper

Indira Awas Yojana and Housing Adequacy: An Evaluation using Propensity Score Matching

Author

Listed:
  • Amarendra Sharma

Abstract

Indira Awas Yojana (IAY) was a public housing assistance program of the Government of India with its primary purpose being the provision of housing to the homeless rural poor households. The efficacy of this program has not been rigorously evaluated in the literature and thus this paper is an attempt in that direction. This paper, by using IHDS-II, a nationally representative sample from India, and relying on the quasi-experimental technique of Propensity Score Matching, concludes that the IAY has been moderately successful in meeting its goals in term of housing characteristics such as pucca house, pit toilet, smokeless chulha, hand pump water; but, it fails to reach its stated goals in terms of external housing adequacy such as the presence of excrement/human waste and stagnant water in the vicinity of house and the access to village health facility and electrification.

Suggested Citation

  • Amarendra Sharma, 2019. "Indira Awas Yojana and Housing Adequacy: An Evaluation using Propensity Score Matching," ASARC Working Papers 2019-05, The Australian National University, Australia South Asia Research Centre.
    • Handle: RePEc:pas:asarcc:2019-05
    as

    Download full text from publisher

    File URL: https://acde.crawford.anu.edu.au/sites/default/files/publication/acde_crawford_anu_edu_au/2020-11/wp2019-05.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Andrea Pufahl & Christoph R. Weiss, 2009. "Evaluating the effects of farm programmes: results from propensity score matching," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 36(1), pages 79-101, March.
    2. John A. List & Daniel L. Millimet & Per G. Fredriksson & W. Warren McHone, 2003. "Effects of Environmental Regulations on Manufacturing Plant Births: Evidence from a Propensity Score Matching Estimator," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 944-952, November.
    3. Antonio Trujillo & Jorge Portillo & John Vernon, 2005. "The Impact of Subsidized Health Insurance for the Poor: Evaluating the Colombian Experience Using Propensity Score Matching," International Journal of Health Economics and Management, Springer, vol. 5(3), pages 211-239, September.
    4. Inha Oh & Jeong-Dong Lee & Almas Heshmati & Gyoung-Gyu Choi, 2009. "Evaluation of credit guarantee policy using propensity score matching," Small Business Economics, Springer, vol. 33(3), pages 335-351, October.
    5. Mendola, Mariapia, 2007. "Agricultural technology adoption and poverty reduction: A propensity-score matching analysis for rural Bangladesh," Food Policy, Elsevier, vol. 32(3), pages 372-393, June.
    6. Jalan, Jyotsna & Ravallion, Martin, 2003. "Estimating the Benefit Incidence of an Antipoverty Program by Propensity-Score Matching," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(1), pages 19-30, January.
    7. Cox-Edwards, Alejandra & Rodríguez-Oreggia, Eduardo, 2009. "Remittances and Labor Force Participation in Mexico: An Analysis Using Propensity Score Matching," World Development, Elsevier, vol. 37(5), pages 1004-1014, May.
    8. Chiputwa, Brian & Spielman, David J. & Qaim, Matin, 2015. "Food Standards, Certification, and Poverty among Coffee Farmers in Uganda," World Development, Elsevier, vol. 66(C), pages 400-412.
    9. Bryson, Alex & Dorsett, Richard & Purdon, Susan, 2002. "The use of propensity score matching in the evaluation of active labour market policies," LSE Research Online Documents on Economics 4993, London School of Economics and Political Science, LSE Library.
    10. Joseph Mensah & Joseph R. Oppong & Christoph M. Schmidt, 2010. "Ghana's national health insurance scheme in the context of the health MDGs: an empirical evaluation using propensity score matching," Health Economics, John Wiley & Sons, Ltd., vol. 19(S1), pages 95-106, September.
    11. Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, vol. 2(4), pages 358-377, November.
    12. Michael Lechner, 2002. "Program Heterogeneity And Propensity Score Matching: An Application To The Evaluation Of Active Labor Market Policies," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 205-220, May.
    13. Lori Lynch & Wayne Gray & Jacqueline Geoghegan, 2007. "Are Farmland Preservation Program Easement Restrictions Capitalized into Farmland Prices? What Can a Propensity Score Matching Analysis Tell Us?," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 29(3), pages 502-509.
    14. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    15. Czajka, John L, et al, 1992. "Projecting from Advance Data Using Propensity Modeling: An Application to Income and Tax Statistics," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(2), pages 117-131, April.
    16. Santosh Kumar & Sebastian Vollmer, 2013. "Does Access To Improved Sanitation Reduce Childhood Diarrhea In Rural India?," Health Economics, John Wiley & Sons, Ltd., vol. 22(4), pages 410-427, April.
    17. Becerril, Javier & Abdulai, Awudu, 2010. "The Impact of Improved Maize Varieties on Poverty in Mexico: A Propensity Score-Matching Approach," World Development, Elsevier, vol. 38(7), pages 1024-1035, July.
    18. David I. Levine & Gary Painter, 2003. "The Schooling Costs of Teenage Out-of-Wedlock Childbearing: Analysis with a Within-School Propensity-Score-Matching Estimator," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 884-900, November.
    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. Deschamps-Laporte, Jean-Philippe, 2013. "The impact of extension services on farming households in Western Kenya: A propensity score approach," Working Papers 2013:5, Örebro University, School of Business, revised 10 Jun 2013.
    2. Sánchez-Braza, Antonio & Pablo-Romero, María del P., 2014. "Evaluation of property tax bonus to promote solar thermal systems in Andalusia (Spain)," Energy Policy, Elsevier, vol. 67(C), pages 832-843.
    3. Nazli, Hina & Orden, David & Sarker, Rakhal & Meilke, Karl D., 2012. "Bt Cotton Adoption and Wellbeing of Farmers in Pakistan," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126172, International Association of Agricultural Economists.
    4. Jean-Baptiste Débordès & Gilles Caporossi & Denis Larocque, 2021. "Is my cross-promotion profitable? Evaluation of game-to-game cannibalization in free-to-play mobile games," Journal of Marketing Analytics, Palgrave Macmillan, vol. 9(3), pages 173-184, September.
    5. Liane Faltermeier & Awudu Abdulai, 2009. "The impact of water conservation and intensification technologies: empirical evidence for rice farmers in Ghana," Agricultural Economics, International Association of Agricultural Economists, vol. 40(3), pages 365-379, May.
    6. Peralta, Maria Alexandra & Swinton, Scott M. & Maredia, Mywish K., 2011. "Accounting for selection bias in impact analysis of a rural development program: An application using propensity score matching," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126398, International Association of Agricultural Economists.
    7. Khaled Makhloufi & Bruno Ventelou & Mohammad Abu-Zaineh, 2015. "Have health insurance reforms in Tunisia attained their intended objectives?," International Journal of Health Economics and Management, Springer, vol. 15(1), pages 29-51, March.
    8. Islam, Abu Hayat, 2015. "Can Integrated Rice-Fish System Increase Welfare of the Marginalized Extreme Poor in Bangladesh? A DID Matching Approach," 2015 Conference, August 9-14, 2015, Milan, Italy 211792, International Association of Agricultural Economists.
    9. Rodrigo Martín-García & Jorge Morán Santor, 2021. "Public guarantees: a countercyclical instrument for SME growth. Evidence from the Spanish Region of Madrid," Small Business Economics, Springer, vol. 56(1), pages 427-449, January.
    10. Bagnoli, Lisa, 2019. "Does health insurance improve health for all? Heterogeneous effects on children in Ghana," World Development, Elsevier, vol. 124(C), pages 1-1.
    11. Palmer, Michael G., 2014. "Inequalities in Universal Health Coverage: Evidence from Vietnam," World Development, Elsevier, vol. 64(C), pages 384-394.
    12. Salvioni, Cristina & Sciulli, Dario, 2011. "Impact of Rural Development Policy and Less Favored Areas Scheme: A Difference in Difference Matching Approach," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 115988, European Association of Agricultural Economists.
    13. Liu, Dan & Tsegai, Daniel W., 2011. "The New Cooperative Medical Scheme (NCMS) and its implications for access to health care and medical expenditure: Evidence from rural China," Discussion Papers 116746, University of Bonn, Center for Development Research (ZEF).
    14. Yan-ying Chen & Long Wu & Qing-guo Zhai, 2019. "Does ISO 9000 Certification Benefit Service Firms?," Sustainability, MDPI, vol. 11(21), pages 1-18, October.
    15. Duong, Pham Bao & Thanh, Pham Tien, 2019. "Adoption and effects of modern rice varieties in Vietnam: Micro-econometric analysis of household surveys," Economic Analysis and Policy, Elsevier, vol. 64(C), pages 282-292.
    16. Andrea Pufahl & Christoph R. Weiss, 2009. "Evaluating the effects of farm programmes: results from propensity score matching," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 36(1), pages 79-101, March.
    17. Richard Disney & Eleonora Fischera & Trudy Owens, 2010. "Has the Introduction of Microfinance Crowded-out Informal Loans in Malawi?," Discussion Papers 10/08, University of Nottingham, CREDIT.
    18. Ashimwe, Olive, 2016. "An Economic Analysis Of Impact Of Weather Index-Based Crop Insurance On Household Income In Huye District Of Rwanda," Research Theses 265675, Collaborative Masters Program in Agricultural and Applied Economics.
    19. Abebaw, Degnet & Fentie, Yibeltal & Kassa, Belay, 2010. "The impact of a food security program on household food consumption in Northwestern Ethiopia: A matching estimator approach," Food Policy, Elsevier, vol. 35(4), pages 286-293, August.
    20. Maren Radeny & Elizaphan J. O. Rao & Maurice Juma Ogada & John W. Recha & Dawit Solomon, 2022. "Impacts of climate-smart crop varieties and livestock breeds on the food security of smallholder farmers in Kenya," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(6), pages 1511-1535, December.

    More about this item

    Keywords

    Indira Awas Yojana; Public Housing Program; Propensity Score Matching; Impact Evaluation; India.;
    All these keywords.

    JEL classification:

    • H53 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Welfare Programs
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R2 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis

    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:pas:asarcc:2019-05. 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: Raghbendra Jha (email available below). General contact details of provider: https://edirc.repec.org/data/asanuau.html .

    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.