Estimation and Inference of Distributional Partial Effects: Theory and Application

REFERENCES

• Aaronson, D., Agarwal, S., and French, E. (2012), “The Spending and Debt Response to Minimum Wage Hikes,” American Economic Review, 102, 3111–3139.
   Web of Science ®Google Scholar
• Angrist, J., Chernozhukov, V., and Fernandez-Val, I. (2006), “Quantile Region Under Misspecification, With an Application to the U.S. Wage Structure,” Econometrica, 74, 539–573.
   Web of Science ®Google Scholar
• Armstrong, T., and Shen, S. (2012), “Inference on Optimal Treatment Assignment,” Working Paper, University of California–Davis.
   Google Scholar
• Barrett, G. F., Donald, S., and Hsu, Y. (2012), “Incorporating Covariates in the Measurement of Welfare and Inequality: Methods and Applications,” The Econometrics Journal, 15, C1–C30.
   Web of Science ®Google Scholar
• Barrett, G. F., and Donald, S. G. (2003), “Consistent Tests for Stochastic Dominance,” Econometrica, 71, 71–104.
   Web of Science ®Google Scholar
• Bawa, V. S. (1975), “Optimal Rules for Ordering Uncertain Prospects,” Journal of Financial Economics, 2, 95–121.
   Google Scholar
• Bhattacharya, D. (2005), “Asymptotic Inference From Multi-Stage Samples,” Journal of Econometrics, 126, 145–171.
   Web of Science ®Google Scholar
• Cameron, C., and Trivedi, P. (2005), Microeconometrics, Cambridge: Cambridge University Press.
   Google Scholar
• Card, D., and Krueger, A. B. (1994), “Minimum Wages and Employment: A Case Study of the Fast Food Industry in New Jersey and Pennsylvania,” American Economic Review, 84, 772–793.
   Web of Science ®Google Scholar
• ——— (1995), Myth and Measurement, Princeton, NJ: Princeton University Press.
   Google Scholar
• Chang, M., Lee, S., and Whang, Y. J. (2015), “Nonparametric Tests of Conditional Treatment Effects With An Application to Single Sex Schooling on Academic Achievements,” The Econometrics Journal, 18, 307–346.
   Web of Science ®Google Scholar
• Chernozhukov, V., Lee, S., and Rosen, A. M. (2013), “Intersection Bounds: Estimation and Inference,” Econometrica, 81, 667–737.
   Google Scholar
• ——— (2000), “Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality,” Econometrica, 68, 1435–1464.
   Web of Science ®Google Scholar
• Delgado, M. A., and Escanciano, J. C. (2012), “Distribution-Free Tests of Stochastic Monotonicity,” Journal of Econometrics, 170, 68–75.
   Web of Science ®Google Scholar
• Donald, S., and Hsu, Y.-C. (2016), “Improving the Power of Tests of Stochastic Dominance,” Econometric Reviews, 35, 553–585.
   Web of Science ®Google Scholar
• Dong, Y. (2010), “Jumpy or Kinky? Regression Discontinuity Without The Discontinuity,” Working Paper, University of California–Irvine.
   Google Scholar
• Duclos, J.-Y., Sahn, D. E., and Younger, S. D. (2006), “Robust Multidimensional Poverty Comparisons,” Econometric Journal, 116, 943–968.
   Google Scholar
• Fan, J., and Gijbels, I. (1996), Local Polynomial Modelling and Its Applications, Boca Raton, FL: Chapman and Hall/CRC.
   Google Scholar
• Hall, P., and Yao, Q. (2005), “Approximating Conditional Distribution Functions Using Dimension Reduction,” Annals of Statistics, 33, 1404–1421.
   Web of Science ®Google Scholar
• Horowitz, J., and Hardle, W. (1996), “Direct Semiparametric Estimation of Single-Index Models With Discrete Covariates,” Journal of the American Statistical Association, 91, 1632–1640.
   Web of Science ®Google Scholar
• Horváth, L., and Yandell, B. (1988), “Asymptotics of Conditional Empirical Processes,” Journal of Multivariate Analysis, 26, 184–206.
   Web of Science ®Google Scholar
• Katz, L. F., and Krueger, A. B. (1992), “The Effect of the Minimum Wage on the Fast Food Industry,” Industrial and Labor Relations Review, 46, 6–21.
   Web of Science ®Google Scholar
• Koenker, R. (2005), Quantile Regression, Cambridge: Cambridge University Press.
   Google Scholar
• Koenker, R., and Xiao, Z. (2002), “Inference on the Quantile Regression Process,” Econometrica, 70, 1583–1612.
   Web of Science ®Google Scholar
• Lee, S., Linton, O., and Whang, Y.-J. (2009), “Testing for Stochastic Monotonicity,” Econometrica, 77, 585–602.
   Web of Science ®Google Scholar
• Linton, O., Maasoumi, E., and Whang, Y.-J. (2005), “Consistent Testing for Stochastic Dominance Under General Sampling Schemes,” Review of Economic Studies, 72, 735–765.
   Web of Science ®Google Scholar
• Linton, O., Song, K., and Whang, Y.-J. (2010), “An Improved Bootstrap Test of Stochastic Dominance,” Journal of Econometrics, 154, 186–202.
   Web of Science ®Google Scholar
• McCaig, B., and Yatchew, A. (2007), “International Welfare Comparisons and Nonparametric Testing of Multivariate Stochastic Dominance,” Journal of Applied Econometrics, 22, 951–969.
   Web of Science ®Google Scholar
• McCrary, J. (2008), “Manipulation of the Running Variable in the Regression Discontinuity Design: A Density Test,” Journal of Econometrics, 142, 698–714.
   Web of Science ®Google Scholar
• Neumark, D., and Evans, W. N. (2008), Minimum Wages, Cambridge, MA: The MIT Press.
   Google Scholar
• Neumark, D., Salas, J. I., and Wascher, W. (2014), “Revisiting the Minimum Wage-Employment Debate: Throwing Out the Baby With the Bathwater?,” ILR Review, 67, 608–648.
   Google Scholar
• Neumark, D., Schweitzer, M., and Wascher, W. (2005), “The Effects of Minimum Wages on the Distribution of Family Incomes: A Nonparametric Analysis,” Journal of Human Resources, 40, 867–894.
   Web of Science ®Google Scholar
• Powell, J. L., Stock, J. H., and Stoker, T. M. (1989), “Semiparametric Estimation of Index Coefficients,” Econometrica, 57, 1403–1430.
   Web of Science ®Google Scholar
• Shen, S., and Zhang, X. (2016), “Distributional Test for Regression Discontinuity: Theory and Application,” Review of Economic and Statistics, 98, 685–700.
   Web of Science ®Google Scholar
• Stute, W. (1986), “On Almost Sure Convergence of Conditional Empirical Distribution Functions,” The Annals of Probability, 14, 891–901.
   Web of Science ®Google Scholar
• Vinod, H. D., and Ullah, A. (1988), “Flexible Production Estimation by Nonparametric Kernel Estimators,” in Advanced in Econometrics: Nonparametric and Robust Statistical Inference, G. F. Rhodes and T. B. Fomby, eds., (Vol. 7), London: JAI Press, pp. 139–160.
   Google Scholar