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Applications and Case Studies

Do School Districts Affect NYC House Prices? Identifying Border Differences Using a Bayesian Nonparametric Approach to Geographic Regression Discontinuity Designs

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Pages 619-631 | Received 20 Oct 2018, Accepted 27 Aug 2020, Published online: 12 Nov 2020

References

  • Angrist, J. D., and Pischke, J.-S. (2008), Mostly Harmless Econometrics: An Empiricist’s Companion, Princeton, NJ: Princeton University Press.
  • Banerjee, S., Carlin, B. P., and Gelfand, A. E. (2014), Hierarchical Modeling and Analysis for Spatial Data, Boca Raton, FL: CRC Press.
  • Bezanson, J., Edelman, A., Karpinski, S., and Shah, V. B. (2017), “Julia: A Fresh Approach to Numerical Computing,” SIAM Review, 59, 65–98.
  • Black, S. E. (1999), “Do Better Schools Matter? Parental Valuation of Elementary Education,” The Quarterly Journal of Economics, 114, 577–599.
  • Black, S. E., and Machin, S. (2011), “Housing Valuations of School Performance,” in Handbook of the Economics of Education (Vol. 3), eds. E. A. Hanushek, S. Machin, and L. Woessmann, Amsterdam: Elsevier, pp. 485–519.
  • Branson, Z., Rischard, M., Bornn, L., and Miratrix, L. W. (2019), “A Nonparametric Bayesian Methodology for Regression Discontinuity Designs,” Journal of Statistical Planning and Inference, 202, 14–30.
  • Chen, Y., Ebenstein, A., Greenstone, M., and Li, H. (2013), “Evidence on the Impact of Sustained Exposure to Air Pollution on Life Expectancy From China’s Huai River Policy,” Proceedings of the National Academy of Sciences of the United States of America, 110, 12936–12941. DOI: https://doi.org/10.1073/pnas.1300018110.
  • Cook, T. D. (2008), “‘Waiting for Life to Arrive’: A History of the Regression-Discontinuity Design in Psychology, Statistics and Economics,” Journal of Econometrics, 142, 636–654.
  • Crump, R. K., Hotz, V. J., Imbens, G. W., and Mitnik, O. A. (2009), “Dealing With Limited Overlap in Estimation of Average Treatment Effects,” Biometrika, 96, 187–199.
  • Fack, G., and Grenet, J. (2010), “When Do Better Schools Raise Housing Prices? Evidence From Paris Public and Private Schools,” Journal of Public Economics, 94, 59–77.
  • Fairbrother, J., Nemeth, C., Rischard, M., and Brea, J. (2018), “Gaussianprocesses.jl: A Nonparametric Bayes Package for the Julia Language,” arXiv no. 1812.09064.
  • Gibbons, S., Machin, S., and Silva, O. (2013), “Valuing School Quality Using Boundary Discontinuities,” Journal of Urban Economics, 75, 15–28.
  • Hahn, J., Todd, P., and Van der Klaauw, W. (2001), “Identification and Estimation of Treatment Effects With a Regression-Discontinuity Design,” Econometrica, 69, 201–209.
  • Hahn, P. R., Carvalho, C. M., Puelz, D., and He, J. (2018), “Regularization and Confounding in Linear Regression for Treatment Effect Estimation,” Bayesian Analysis, 13, 163–182.
  • Hahn, P. R., Murray, J. S., and Carvalho, C. (2017), “Bayesian Regression Tree Models for Causal Inference: Regularization, Confounding, and Heterogeneous Effects,” arXiv no. 1706.09523.
  • Hill, J. L. (2011), “Bayesian Nonparametric Modeling for Causal Inference,” Journal of Computational and Graphical Statistics, 20, 217–240.
  • Holmes, T. J. (1998), “The Effect of State Policies on the Location of Manufacturing: Evidence From State Borders,” Journal of Political Economy, 106, 667–705.
  • Imbens, G. W., and Lemieux, T. (2008), “Regression Discontinuity Designs: A Guide to Practice,” Journal of Econometrics, 142, 615–635.
  • Imbens, G. W., and Zajonc, T. (2011), “Regression Discontinuity Design With Multiple Forcing Variables,” Report, Harvard University, 972.
  • Keele, L. J., Lorch, S., Passarella, M., Small, D., and Titiunik, R. (2017), (Chapter 4), in An Overview of Geographically Discontinuous Treatment Assignments With an Application to Children’s Health Insurance, eds. Matias D. Cattaneo and Juan Carlos Escanciano, Bingley, UK: Emerald Publishing Limited, pp. 147–194.
  • Keele, L. J., and Titiunik, R. (2015), “Geographic Boundaries as Regression Discontinuities,” Political Analysis, 23, 127–155.
  • Keele, L. J., Titiunik, R., and Zubizarreta, J. R. (2015), “Enhancing a Geographic Regression Discontinuity Design Through Matching to Estimate the Effect of Ballot Initiatives on Voter Turnout,” Journal of the Royal Statistical Society, Series A, 178, 223–239.
  • Li, F., Morgan, K. L., and Zaslavsky, A. M. (2018), “Balancing Covariates via Propensity Score Weighting,” Journal of the American Statistical Association, 113, 390–400.
  • MacDonald, J. M., Klick, J., and Grunwald, B. (2015), “The Effect of Private Police on Crime: Evidence From a Geographic Regression Discontinuity Design,” Journal of the Royal Statistical Society, Series A, 179, 831–846.
  • Magruder, J. R. (2012), “High Unemployment Yet Few Small Firms: The Role of Centralized Bargaining in South Africa,” American Economic Journal: Applied Economics, 4, 138–166.
  • Miratrix, L. W., Weiss, M. J., and Henderson, B. (2020), “An Applied Researcher’s Guide to Estimating Effects From Multisite Individually Randomized Trials: Estimands, Estimators, and Estimates,” Journal of Research on Educational Effectiveness, to appear.
  • Papay, J. P., Willett, J. B., and Murnane, R. J. (2011), “Extending the Regression-Discontinuity Approach to Multiple Assignment Variables,” Journal of Econometrics, 161, 203–207.
  • Rasmussen, C. E., and Williams, C. K. (2006), Gaussian Processes for Machine Learning (Vol. 1), Cambridge, MA: MIT Press.
  • Rosen, S. (1974), “Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition,” Journal of Political Economy, 82, 34–55.
  • Rosenbaum, P. R. (2010), Design of Observational Studies, Springer Series in Statistics, New York: Springer.
  • Rubin, D. B. (1974), “Estimating Causal Effects of Treatments in Randomized and Nonrandomized Studies,” Journal of Educational Psychology, 66, 688–701.
  • Sheppard, S. (1999), “Hedonic Analysis of Housing Markets,” Handbook of Regional and Urban Economics, 3, 1595–1635.
  • Splawa-Neyman, J., Dabrowska, D. M., and Speed, T. (1923/1990), “On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9,” Statistical Science, 5, 465–472.
  • Stein, M. L. (2012), Interpolation of Spatial Data: Some Theory for Kriging, New York: Springer.
  • Thistlethwaite, D. L., and Campbell, D. T. (1960), “Regression-Discontinuity Analysis: An Alternative to the Ex Post Facto Experiment,” Journal of Educational Psychology, 51, 309.
  • Wilson, A., and Adams, R. (2013), “Gaussian Process Kernels for Pattern Discovery and Extrapolation,” in Proceedings of the 30th International Conference on Machine Learning (ICML-13), pp. 1067–1075.
  • Zubizarreta, J. R. (2012), “Using Mixed Integer Programming for Matching in an Observational Study of Kidney Failure After Surgery,” Journal of the American Statistical Association, 107, 1360–1371.

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