References
- Abrevaya, J. (2001), “The Effects of Demographics and Maternal Behavior on the Distribution of Birth Outcomes,” Empirical Economics, 26, 247–257. DOI: https://doi.org/10.1007/s001810000052.
- Adrian, T., Boyarchenko, N., and Giannone, D. (2019), “Vulnerable Growth,” American Economic Review, 109, 1263–89. DOI: https://doi.org/10.1257/aer.20161923.
- Adrian, T., and Brunnermeier, M. K. (2016), “CoVaR,” American Economic Review, 106, 1705. DOI: https://doi.org/10.1257/aer.20120555.
- Angrist, J., Chernozhukov, V., and Fernández-Val, I. (2006), “Quantile Regression Under Misspecification, With an Application to the US Wage Structure,” Econometrica, 74, 539–563. DOI: https://doi.org/10.1111/j.1468-0262.2006.00671.x.
- Beare, B., and Toda, A. A. (2017), “Geometrically Stopped Markovian Random Growth Processes and Pareto Tails,” arXiv no. 1712.01431.
- Beirlant, J., Joossens, E., and Segers, J. (2004), “Discussion of ‘Generalized Pareto Fit to the Society of Actuaries’ Large Claims Database’ by A Cebrian, M Denuit and P Lambert,” North American Actuarial Journal, 8, 108–111. DOI: https://doi.org/10.1080/10920277.2004.10596140.
- Berbee, H. (1987), “Convergence Rates in the Strong Law for Bounded Mixing Sequences,” Probability Theory and Related Fields, 74, 255–270. DOI: https://doi.org/10.1007/BF00569992.
- Chernozhukov, V. (2005), “Extremal Quantile Autoregression,” The Annals of Statistics, 33, 806–839. DOI: https://doi.org/10.1214/009053604000001165.
- Chernozhukov, V., and Fernández-Val, I. (2011), “Inference for Extremal Conditional Quantile Models, With an Application to Market and Birthweight Risks,” The Review of Economic Studies, 78, 559–589. DOI: https://doi.org/10.1093/restud/rdq020.
- Chernozhukov, V., Fernández-Val, I., and Kaji, T. (2017), “Extremal Quantile Regression: An Overview,” arXiv no. 1612.06850.
- Daouia, A., Gardes, L., and Girard, S. (2013), “On Kernel Smoothing for Extremal Quantile Regression,” Bernoulli, 19, 2557–2589. DOI: https://doi.org/10.3150/12-BEJ466.
- de Haan, L., and Ferreira, A. (2007), Extreme Value Theory: An Introduction, New York: Springer.
- Ding, P. (2016), “On the Conditional Distribution of the Multivariate t Distribution,” The American Statistician, 70, 293–295. DOI: https://doi.org/10.1080/00031305.2016.1164756.
- Elliott, G., Müller, U. K., and Watson, M. W. (2015), “Nearly Optimal Tests When a Nuisance Parameter Is Present Under the Null Hypothesis,” Econometrica, 83, 771–811. DOI: https://doi.org/10.3982/ECTA10535.
- Fan, J., Hu, T.-C., and Truong, Y. K. (1994), “Robust Non-Parametric Function Estimation,” Scandinavian Journal of Statistics, 21, 433–446.
- Gabaix, X., Lasry, J., Lions, P., and Moll, B. (2016), “The Dynamics of Inequality,” Econometrica, 85, 2071–2111. DOI: https://doi.org/10.3982/ECTA13569.
- Gardes, L., Girard, S., and Lekina, A. (2010), “Functional Nonparametric Estimation of Conditional Extreme Quantiles,” Journal of Multivariate Analysis, 101, 419–433. DOI: https://doi.org/10.1016/j.jmva.2009.06.007.
- Gardes, L., Guillou, A., and Schorgen, A. (2012), “Estimating the Conditional Tail Index by Integrating a Kernel Conditional Quantile Estimator,” Journal of Statistical Planning and Inference, 142, 1586–1598. DOI: https://doi.org/10.1016/j.jspi.2012.01.011.
- Jones, C. I., and Kim, J. (2018), “A Schumpeterian Model of Top Income Inequality,” Journal of Political Economy, 126, 1785–1826. DOI: https://doi.org/10.1086/699190.
- Kato, R., and Sasaki, Y. (2017), “On Using Linear Quantile Regressions for Causal Inference,” Econometric Theory, 33, 664–690. DOI: https://doi.org/10.1017/S0266466616000177.
- Kelly, B., and Jiang, H. (2014), “Tail Risk and Asset Prices,” The Review of Financial Studies, 27, 2841–2871. DOI: https://doi.org/10.1093/rfs/hhu039.
- Koenker, R., and Bassett, G. S. (1978), “Regression Quantiles,” Econometrica, 46, 33–50. DOI: https://doi.org/10.2307/1913643.
- Koenker, R., and Hallock, K. (2001), “Quantile Regression: An Introduction,” Journal of Economic Perspectives, 15, 143–156. DOI: https://doi.org/10.1257/jep.15.4.143.
- Leadbetter, M. R. (1983), “Extremes and Local Dependence in Stationary Sequences,” Probability Theory and Related Fields, 65, 291–306.
- Martins-Filho, C., Yao, F., and Torero, M. (2018), “Nonparametric Estimation of Conditional Value-at-Risk and Expected Shortfall Based on Extreme Value Theory,” Econometric Theory, 34, 23–67. DOI: https://doi.org/10.1017/S0266466616000517.
- Mikosch, T., and Stărică, C. (2000), “Limit Theory for the Sample Autocorrelations and Extremes of a GARCH(1,1) Process,” The Annals of Statistics, 24, 1427–1451.
- Müller, U. K., and Wang, Y. (2017), “Fixed-k Asymptotic Inference About Tail Properties,” Journal of the American Statistical Association, 112, 1134–1143. DOI: https://doi.org/10.1080/01621459.2016.1215990.
- O’Brien, G. (1987), “Extreme Values for Stationary and Markov Sequences,” The Annals of Probability, 15, 281–291.
- Piketty, T., and Saez, E. (2003), “Income Inquality in the United States, 1913–1998,” The Quarterly Journal of Economics, 118, 1–41. DOI: https://doi.org/10.1162/00335530360535135.
- Qu, Z., and Yoon, J. (2015), “Nonparametric Estimation and Inference on Conditional Quantile Processes,” Journal of Econometrics, 185, 1–19. DOI: https://doi.org/10.1016/j.jeconom.2014.10.008.
- Qu, Z., and Yoon, J. (2019), “Uniform Inference on Quantile Effects Under Sharp Regression Discontinuity Designs,” Journal of Business & Economic Statistics, 37, 625–647. DOI: https://doi.org/10.1080/07350015.2017.1407323.
- Toda, A. A. (2019), “Wealth Distribution With Random Discount Factors,” Journal of Monetary Economics, 104, 101–113. DOI: https://doi.org/10.1016/j.jmoneco.2018.09.006.
- Wang, H., and Li, D. (2013), “Estimation of Extreme Conditional Quantiles Through Power Transformation,” Journal of the American Statistical Association, 108, 1062–1074. DOI: https://doi.org/10.1080/01621459.2013.820134.
- Wang, H., and Tsai, C. L. (2009), “Tail Index Regression,” Journal of the American Statistical Association, 104, 1233–1240. DOI: https://doi.org/10.1198/jasa.2009.tm08458.
- Yu, K., and Jones, M. (1998), “Local Linear Quantile Regression,” Journal of the American Statistical Association, 93, 228–237. DOI: https://doi.org/10.1080/01621459.1998.10474104.