IDEAS home Printed from https://ideas.repec.org/p/ess/wpaper/id10909.html
   My bibliography  Save this paper

The Value of Private Schools: Evidence from Pakistan

Author

Listed:
  • Hugo Reis
  • Jishnu Das
  • Pedro Carneiro

Abstract

Using unique data from Pakistan we estimate a model of demand for differentiated products in 112 rural education markets with significant choice among public and private schools. Our model accounts for the endogeneity of school fees and the characteristics of students attending the school. As expected, central determinants of school choice are the distance to school, school fees, and the characteristics of peers. Families are willing to pay on average between 75% and 115% of the average annual private school fee for a 500 meter reduction in distance. In contrast, price elasticities are low: -0.5 for girls and -0.2 for boys. Both distance and price elasticities are consistent with other estimates in the literature, but at odds with a belief among policy makers that school fees deter enrollment and participation in private schooling. Using the estimates from the demand model we show that the existence of a low fee private school market is of great value for households in our sample, reaching about 25% to 100% of monthly per capita income for those choosing private schools. A voucher policy that reduces the fees of private schools to $0 (from an average annual fee of $13) increases private school enrollment by 7.5 percentage points for girls and 4.2 percentage points for boys. Our demand estimates and policy simulations, which account for key challenges specific to the schooling market, help situate ongoing debate around private schools within a larger framework of consumer choice and welfare.

Suggested Citation

  • Hugo Reis & Jishnu Das & Pedro Carneiro, 2016. "The Value of Private Schools: Evidence from Pakistan," Working Papers id:10909, eSocialSciences.
  • Handle: RePEc:ess:wpaper:id:10909
    Note: Institutional Papers
    as

    Download full text from publisher

    File URL: http://www.esocialsciences.org/Articles/show_Article.aspx?acat=InstitutionalPapers&aid=10909
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Patrick Bayer & Christopher Timmins, 2007. "Estimating Equilibrium Models Of Sorting Across Locations," Economic Journal, Royal Economic Society, vol. 117(518), pages 353-374, March.
    2. Patrick Bayer & Fernando Ferreira & Robert McMillan, 2007. "A Unified Framework for Measuring Preferences for Schools and Neighborhoods," Journal of Political Economy, University of Chicago Press, vol. 115(4), pages 588-638, August.
    3. Susan Dynarski & Jonathan Gruber & Danielle Li, 2009. "Cheaper By the Dozen: Using Sibling Discounts at Catholic Schools to Estimate the Price Elasticity of Private School Attendance," NBER Working Papers 15461, National Bureau of Economic Research, Inc.
    4. Small, Kenneth A & Rosen, Harvey S, 1981. "Applied Welfare Economics with Discrete Choice Models," Econometrica, Econometric Society, vol. 49(1), pages 105-130, January.
    5. Aviv Nevo, 2000. "Mergers with Differentiated Products: The Case of the Ready-to-Eat Cereal Industry," RAND Journal of Economics, The RAND Corporation, vol. 31(3), pages 395-421, Autumn.
    6. Francisco Gallego & Andrés Hernando, 2009. "School Choice in Chile: Looking at the Demand Side," Documentos de Trabajo 356, Instituto de Economia. Pontificia Universidad Católica de Chile..
    7. Patrick Bayer & Robert McMillan & Kim Rueben, 2003. "An Equilibrium Model of Sorting in an Urban Housing Market: The Causes and Consequences of Residential Segregation," Working Papers 860, Economic Growth Center, Yale University.
    8. Harold Alderman & Peter F. Orazem & Elizabeth M. Paterno, 2001. "School Quality, School Cost, and the Public/Private School Choices of Low-Income Households in Pakistan," Journal of Human Resources, University of Wisconsin Press, vol. 36(2), pages 304-326.
    9. Lars Nesheim, 2002. "Equilibrium sorting of heterogeneous consumers across locations: theory and empirical implications," CeMMAP working papers CWP08/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    10. Jerry A. Hausman, 1996. "Valuation of New Goods under Perfect and Imperfect Competition," NBER Chapters, in: The Economics of New Goods, pages 207-248, National Bureau of Economic Research, Inc.
    11. McFadden, Daniel, 1980. "Econometric Models for Probabilistic Choice among Products," The Journal of Business, University of Chicago Press, vol. 53(3), pages 13-29, July.
    12. Steven Berry & James Levinsohn & Ariel Pakes, 2004. "Differentiated Products Demand Systems from a Combination of Micro and Macro Data: The New Car Market," Journal of Political Economy, University of Chicago Press, vol. 112(1), pages 68-105, February.
    13. Pauline Dixon, 2012. "Why the Denial? Low-Cost Private Schools in Developing Countries and Their Contributions to Education," Econ Journal Watch, Econ Journal Watch, vol. 9(3), pages 186-209, September.
    14. Daniele Checchi & Tullio Jappelli, 2002. "School choice and quality," Departmental Working Papers 2002-28, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    15. Joshua Angrist & Eric Bettinger & Erik Bloom & Elizabeth King & Michael Kremer, 2002. "Vouchers for Private Schooling in Colombia: Evidence from a Randomized Natural Experiment," American Economic Review, American Economic Association, vol. 92(5), pages 1535-1558, December.
    16. Simon Burgess & Ellen Greaves & Anna Vignoles & Deborah Wilson, 2015. "What Parents Want: School Preferences and School Choice," Economic Journal, Royal Economic Society, vol. 125(587), pages 1262-1289, September.
    17. Dana Burde & Leigh L. Linden, 2013. "Bringing Education to Afghan Girls: A Randomized Controlled Trial of Village-Based Schools," American Economic Journal: Applied Economics, American Economic Association, vol. 5(3), pages 27-40, July.
    18. Steven T. Berry & Philip A. Haile, 2009. "Nonparametric Identification of Multinomial Choice Demand Models with Heterogeneous Consumers," Cowles Foundation Discussion Papers 1718, Cowles Foundation for Research in Economics, Yale University, revised Mar 2010.
    19. Patrick Bayer & Robert McMillan & Kim Rueben, 2004. "An Equilibrium Model of Sorting in an Urban Housing Market," NBER Working Papers 10865, National Bureau of Economic Research, Inc.
    20. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-890, July.
    21. Hugo Reis, 2020. "Girls' Schooling Choices And Home Production: Evidence From Pakistan," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(2), pages 783-819, May.
    22. Karthik Muralidharan & Venkatesh Sundararaman, 2015. "Editor's Choice The Aggregate Effect of School Choice: Evidence from a Two-Stage Experiment in India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(3), pages 1011-1066.
    23. Christopher A. Neilson, 2021. "Targeted Vouchers, Competition Among Schools, and the Academic Achievement of Poor Students," Working Papers 2021-48, Princeton University. Economics Department..
    24. Jacoby, Hanan G. & Mansuri, Ghazala, 2015. "Crossing boundaries: How social hierarchy impedes economic mobility," Journal of Economic Behavior & Organization, Elsevier, vol. 117(C), pages 135-154.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Karthik Muralidharan & Abhijeet Singh & Alejandro J. Ganimian, 2019. "Disrupting Education? Experimental Evidence on Technology-Aided Instruction in India," American Economic Review, American Economic Association, vol. 109(4), pages 1426-1460, April.
    2. Tahir Andrabi & Jishnu Das & Asim Ijaz Khwaja, 2017. "Report Cards: The Impact of Providing School and Child Test Scores on Educational Markets," American Economic Review, American Economic Association, vol. 107(6), pages 1535-1563, June.
    3. Felipe Barrera-Osorio & David S. Blakeslee & Matthew Hoover & Leigh Linden & Dhushyanth Raju & Stephen P. Ryan, 2022. "Delivering Education to the Underserved through a Public-Private Partnership Program in Pakistan," The Review of Economics and Statistics, MIT Press, vol. 104(3), pages 399-416, May.
    4. Marine de Talance, 2017. "Quality Perceptions and School Choice in Rural Pakistan," Working Papers hal-01663029, HAL.
    5. Bagde, Surendrakumar & Epple, Dennis & Taylor, Lowell, 2022. "The emergence of private high schools in India: The impact of public-private competition on public school students," Journal of Public Economics, Elsevier, vol. 215(C).
    6. Bau, Natalie, 2019. "Estimating an Equilibrium Model of Horizontal Competition in Education," CEPR Discussion Papers 13924, C.E.P.R. Discussion Papers.
    7. Ansari, Ali H., 2020. "Cream skimming? Evaluating the access to Punjab’s public-private partnership programs in education," International Journal of Educational Development, Elsevier, vol. 72(C).
    8. Marine de Talancé, 2016. "Quality perceptions and school choice in rural Pakistan," Working Papers DT/2016/15, DIAL (Développement, Institutions et Mondialisation).
    9. Hugo Reis, 2020. "Girls' Schooling Choices And Home Production: Evidence From Pakistan," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(2), pages 783-819, May.
    10. Christopher A. Neilson, 2021. "Targeted Vouchers, Competition Among Schools, and the Academic Achievement of Poor Students," Working Papers 2021-48, Princeton University. Economics Department..
    11. Du, Xinming, 2023. "Competing with clean air: Pollution disclosure and college desirability," Ecological Economics, Elsevier, vol. 204(PA).

    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. Yannis M. Ioannides, 2010. "Neighborhood Effects and Housing," Discussion Papers Series, Department of Economics, Tufts University 0747, Department of Economics, Tufts University.
    2. Steven T. Berry & Philip A. Haile, 2014. "Identification in Differentiated Products Markets Using Market Level Data," Econometrica, Econometric Society, vol. 82, pages 1749-1797, September.
    3. Constant Tra, 2009. "Title: A Discrete Choice Equilibrium Approach to Valuing Large Environmental Changes," Working Papers 0922, University of Nevada, Las Vegas , Department of Economics.
    4. Pereira, Pedro & Ribeiro, Tiago, 2011. "The impact on broadband access to the Internet of the dual ownership of telephone and cable networks," International Journal of Industrial Organization, Elsevier, vol. 29(2), pages 283-293, March.
    5. Steven T. Berry & Philip A. Haile, 2021. "Foundations of Demand Estimation," Cowles Foundation Discussion Papers 2301, Cowles Foundation for Research in Economics, Yale University.
    6. Mulalic, Ismir & Rouwendal, Jan, 2020. "Does improving public transport decrease car ownership? Evidence from a residential sorting model for the Copenhagen metropolitan area," Regional Science and Urban Economics, Elsevier, vol. 83(C).
    7. Christopher R. Knittel & Konstantinos Metaxoglou, 2008. "Estimation of Random Coefficient Demand Models: Challenges, Difficulties and Warnings," NBER Working Papers 14080, National Bureau of Economic Research, Inc.
    8. Rancière, Romain & Ouazad, Amine, 2015. "Structural Demand Estimation with Borrowing Constraints," CEPR Discussion Papers 10866, C.E.P.R. Discussion Papers.
    9. Steven T. Berry & Philip A. Haile, 2020. "Nonparametric Identification of Differentiated Products Demand Using Micro Data," NBER Working Papers 27704, National Bureau of Economic Research, Inc.
    10. Cuesta, José Ignacio & González, Felipe & Larroulet Philippi, Cristian, 2020. "Distorted quality signals in school markets," Journal of Development Economics, Elsevier, vol. 147(C).
    11. Alex Chernoff & Andrea N. Craig, 2022. "Distributional And Housing Price Effects From Public Transit Investment: Evidence From Vancouver," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(1), pages 475-509, February.
    12. Bau, Natalie, 2019. "Estimating an Equilibrium Model of Horizontal Competition in Education," CEPR Discussion Papers 13924, C.E.P.R. Discussion Papers.
    13. Cao, Xiang & Boyle, Kevin J. & Siriwardena, Shyamani D. & Holmes, Thomas P., 2018. "Estimating Demand for Urban Tree Cover Using a Residential Sorting Model," 2018 Annual Meeting, August 5-7, Washington, D.C. 274020, Agricultural and Applied Economics Association.
    14. Amit Gandhi & Jean-François Houde, 2019. "Measuring Substitution Patterns in Differentiated-Products Industries," NBER Working Papers 26375, National Bureau of Economic Research, Inc.
    15. Lucarelli, Claudio & Nicholson, Sean & Tilipman, Nicholas, 2022. "Price Indices and the Value of Innovation with Heterogenous Patients," Journal of Health Economics, Elsevier, vol. 84(C).
    16. Pietro Tebaldi & Alexander Torgovitsky & Hanbin Yang, 2023. "Nonparametric Estimates of Demand in the California Health Insurance Exchange," Econometrica, Econometric Society, vol. 91(1), pages 107-146, January.
    17. Dede Long & David Lewis & Christian Langpap, 2021. "Negative Traffic Externalities and Infant Health: The Role of Income Heterogeneity and Residential Sorting," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 80(3), pages 637-674, November.
    18. Griffith, Rachel & Dubois, Pierre & O'Connell, Martin, 2014. "The Effects of Banning Advertising on Demand, Supply and Welfare: Structural Estimation on a Junk Food Market," CEPR Discussion Papers 9942, C.E.P.R. Discussion Papers.
    19. Genakos, Christos D., 2004. "Differential merger effects: the case of the personal computer industry," LSE Research Online Documents on Economics 6726, London School of Economics and Political Science, LSE Library.
    20. John D. Singleton, 2019. "Incentives and the Supply of Effective Charter Schools," American Economic Review, American Economic Association, vol. 109(7), pages 2568-2612, July.

    More about this item

    Keywords

    Pakistan; rural education market; public school; private school; endogeneity; school fees; students; peers; family; private school fees; price elasticity; girls; boys; enrollment; demand model; per capita income; demand estimates; consumer choice; welfare;
    All these keywords.

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

    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:ess:wpaper:id:10909. 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: Padma Prakash (email available below). General contact details of provider: http://www.esocialsciences.org .

    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.