IDEAS home Printed from https://ideas.repec.org/p/ucr/wpaper/202214.html
   My bibliography  Save this paper

Nonlinear Correlated Random Effects Models with Endogeneity and Unbalanced Panels

Author

Listed:
  • Michael Bates

    (Department of Economics, University of California Riverside)

  • Jeffrey Wooldridge
  • Lelsie papke

Abstract

We present simple procedures for estimating nonlinear panel data models in the presence of unobserved heterogeneity and possible endogeneity with respect to time-varying unobervables. We combine a correlated random effects approach with a control function approach while accounting for missing time periods for some units. We examine the performance of the approach in comparisons with standard estimators using Monte Carlo simulation. We apply the methods to estimating the effects of school spending on student pass rates on a standardized math exam. We find that a 10 percent increase in spending leads to an approximately two percentage point increase in math pass rates.

Suggested Citation

  • Michael Bates & Jeffrey Wooldridge & Lelsie papke, 2022. "Nonlinear Correlated Random Effects Models with Endogeneity and Unbalanced Panels," Working Papers 202214, University of California at Riverside, Department of Economics.
    • Handle: RePEc:ucr:wpaper:202214
    as

    Download full text from publisher

    File URL: https://economics.ucr.edu/repec/ucr/wpaper/202214.pdf
    File Function: First version, 2022
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Chaudhary, Latika, 2009. "Education inputs, student performance and school finance reform in Michigan," Economics of Education Review, Elsevier, vol. 28(1), pages 90-98, February.
    2. Wooldridge, Jeffrey M., 2019. "Correlated random effects models with unbalanced panels," Journal of Econometrics, Elsevier, vol. 211(1), pages 137-150.
    3. Alberto Abadie & Susan Athey & Guido W Imbens & Jeffrey M Wooldridge, 2023. "When Should You Adjust Standard Errors for Clustering?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 138(1), pages 1-35.
    4. Gary Chamberlain, 1980. "Analysis of Covariance with Qualitative Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 225-238.
    5. Julien Lafortune & Jesse Rothstein & Diane Whitmore Schanzenbach, 2018. "School Finance Reform and the Distribution of Student Achievement," American Economic Journal: Applied Economics, American Economic Association, vol. 10(2), pages 1-26, April.
    6. Papke, Leslie E. & Wooldridge, Jeffrey M., 2008. "Panel data methods for fractional response variables with an application to test pass rates," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 121-133, July.
    7. Joydeep Roy, 2011. "Impact of School Finance Reform on Resource Equalization and Academic Performance: Evidence from Michigan," Education Finance and Policy, MIT Press, vol. 6(2), pages 137-167, April.
    8. Joshua Hyman, 2017. "Does Money Matter in the Long Run? Effects of School Spending on Educational Attainment," American Economic Journal: Economic Policy, American Economic Association, vol. 9(4), pages 256-280, November.
    9. Papke, Leslie E., 2005. "The effects of spending on test pass rates: evidence from Michigan," Journal of Public Economics, Elsevier, vol. 89(5-6), pages 821-839, June.
    10. C. Kirabo Jackson & Rucker C. Johnson & Claudia Persico, 2016. "The Effects of School Spending on Educational and Economic Outcomes: Evidence from School Finance Reforms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(1), pages 157-218.
    11. Riju Joshi & Jeffrey M. Wooldridge, 2019. "Correlated Random Effects Models with Endogenous Explanatory Variables and Unbalanced Panels," Annals of Economics and Statistics, GENES, issue 134, pages 243-268.
    12. Alison Aughinbaugh, 2004. "The Impact of Attrition on the Children of the NLSY79," Journal of Human Resources, University of Wisconsin Press, vol. 39(2).
    13. repec:mpr:mprres:6364 is not listed on IDEAS
    14. Evangelos M. Falaris & H. Elizabeth Peters, 1998. "Survey Attrition and Schooling Choices," Journal of Human Resources, University of Wisconsin Press, vol. 33(2), pages 531-554.
    15. Fitzgerald John M, 2011. "Attrition in Models of Intergenerational Links Using the PSID with Extensions to Health and to Sibling Models," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 11(3), pages 1-63, September.
    16. Rivers, Douglas & Vuong, Quang H., 1988. "Limited information estimators and exogeneity tests for simultaneous probit models," Journal of Econometrics, Elsevier, vol. 39(3), pages 347-366, November.
    17. Chiang, Hanley, 2009. "How accountability pressure on failing schools affects student achievement," Journal of Public Economics, Elsevier, vol. 93(9-10), pages 1045-1057, October.
    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. Lenny Phulong Mamaro & Athenia Bongani Sibindi, 2022. "Financial Sustainability of African Small-to-Medium Enterprises during the COVID-19 Pandemic: Determinants of Crowdfunding Success," Sustainability, MDPI, vol. 14(23), pages 1-14, November.
    2. Danilo Boffa & Antonio Prencipe & Luciano D’Amico & Christian Corsi, 2023. "Gender Inclusiveness and Female Representation on the Board of Directors of the Benefit Company Model: Evidence from Italy," Sustainability, MDPI, vol. 15(7), pages 1-20, March.

    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. Eric Brunner & Joshua Hyman & Andrew Ju, 2020. "School Finance Reforms, Teachers' Unions, and the Allocation of School Resources," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 473-489, July.
    2. Kreisman, Daniel & Steinberg, Matthew P., 2019. "The effect of increased funding on student achievement: Evidence from Texas's small district adjustment," Journal of Public Economics, Elsevier, vol. 176(C), pages 118-141.
    3. Sungoh Kwon, 2017. "Does Public School Spending Raise Intergenerational Mobility?: Evidence from U.S. School Finance Reforms," Working papers 2017-06, University of Connecticut, Department of Economics.
    4. Gigliotti, Philip & Sorensen, Lucy C., 2018. "Educational resources and student achievement: Evidence from the Save Harmless provision in New York State," Economics of Education Review, Elsevier, vol. 66(C), pages 167-182.
    5. Leslie E. Papke & Jeffrey M. Wooldridge, 2023. "A simple, robust test for choosing the level of fixed effects in linear panel data models," Empirical Economics, Springer, vol. 64(6), pages 2683-2701, June.
    6. Bass, Brittany, 2021. "The effect of technology funding on school-level student proficiency," Economics of Education Review, Elsevier, vol. 84(C).
    7. Acton, Riley & Orr, Cody & Rogers, Salem, 2023. "Returns to School Spending in Rural America: Evidence from Wisconsin's Sparsity Aid Program," IZA Discussion Papers 15915, Institute of Labor Economics (IZA).
    8. María Orduz, 2022. "Effect of educational spending on academic performance under different institutional arrangements," Documentos CEDE 20224, Universidad de los Andes, Facultad de Economía, CEDE.
    9. Bo Zhao, 2023. "Estimating the cost function of connecticut public K–12 education: implications for inequity and inadequacy in school spending," Education Economics, Taylor & Francis Journals, vol. 31(4), pages 439-470, July.
    10. Irina B. Grafova & Alan C. Monheit & Rizie Kumar, 2020. "How Do Economic Shocks Affect Family Health Care Spending Burdens?," Journal of Family and Economic Issues, Springer, vol. 41(3), pages 442-457, September.
    11. Josh B. McGee, 2023. "Yes, money matters, but the details can make all the difference," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 42(4), pages 1125-1132, September.
    12. Matthew Ridley & Camille Terrier, 2018. "Fiscal and Education Spillovers from Charter School Expansion," NBER Working Papers 25070, National Bureau of Economic Research, Inc.
    13. Irina B. Grafova & Alan C. Monheit & Rizie Kumar, 2022. "Income Shocks and Out-of-Pocket Health Care Spending: Implications for Single-Mother Families," Journal of Family and Economic Issues, Springer, vol. 43(3), pages 489-500, September.
    14. C. Kirabo Jackson, 2018. "Does School Spending Matter? The New Literature on an Old Question," NBER Working Papers 25368, National Bureau of Economic Research, Inc.
    15. Gasmi, Farid & Kouakou, Dorgyles & Noumba Um, Paul & Rojas Milla, Pedro, 2023. "An empirical analysis of the social contract in the MENA region and the role of digitalization in its transformation," TSE Working Papers 23-1423, Toulouse School of Economics (TSE).
    16. Joshua Hyman, 2017. "Does Money Matter in the Long Run? Effects of School Spending on Educational Attainment," American Economic Journal: Economic Policy, American Economic Association, vol. 9(4), pages 256-280, November.
    17. C. Kirabo Jackson & Claudia Persico, 2023. "Point column on school spending: Money matters," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 42(4), pages 1118-1124, September.
    18. Costa-Font, Joan & Vilaplana-Prieto, Cristina, 2022. "Health shocks and housing downsizing: How persistent is ‘ageing in place’?," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 490-508.
    19. Manon Garrouste & Miren Lafourcade, 2022. "Place-Based Policies: Opportunity for Deprived Schools or Zone-and-Shame Effect?," Post-Print hal-04329793, HAL.
    20. Céline Nauges & Jon Strand, 2017. "Water Hauling and Girls’ School Attendance: Some New Evidence from Ghana," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 66(1), pages 65-88, January.

    More about this item

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation
    • I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ucr:wpaper:202214. 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: Kelvin Mac (email available below). General contact details of provider: https://edirc.repec.org/data/deucrus.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.