A dynamic quantile model for distinguishing intertemporal substitution from risk aversion

Ahmed, 2006 Alan, 2009, Estimating Euler equations with noisy data: Two exact GMM estimators, J. Appl. Econometrics, 24, 309, 10.1002/jae.1037 Atkeson, 1996, Wealth-varying intertemporal elasticities of substitution: Evidence from panel and aggregate data, J. Monetary Econ., 38, 507, 10.1016/S0304-3932(96)01290-1 Attanasio, 1999, Consumption, 10.1016/S1574-0048(99)10019-3 Attanasio, 1995, Consumption over the life cycle and over the business cycle, Amer. Econ. Rev., 85, 1118 Attanasio, 2004, Estimating Euler equations, Rev. Econ. Dyn., 7, 406, 10.1016/j.red.2003.09.003 Attanasio, 1993, Consumption growth, the interest rate and aggregation, Rev. Econom. Stud., 60, 631, 10.2307/2298128 Attanasio, 1995, Is consumption growth consistent with intertemporal optimization? evidence from the consumer expenditure survey, J. Polit. Econ., 103, 1121, 10.1086/601443 Attanasio, 2010, Consumption and saving: Models of intertemporal allocation and their implications for public policy, J. Econ. Lit., 48, 693, 10.1257/jel.48.3.693 Beaudry, 1996, The intertemporal elasticity of substitution: An exploration using a US panel of state data, Economica, 63, 495, 10.2307/2555019 Best, 2020, Estimating the elasticity of intertemporal substitution using mortgage notches, Rev. Econom. Stud., 87, 656 Blundell, 1994, Consumer demand and the life-cycle allocation of household expenditures, Rev. Econom. Stud., 61, 57, 10.2307/2297877 Bommier, 2017, On monotone recursive preferences, Econometrica, 85, 1433, 10.3982/ECTA11898 Browning, 1999, Micro data and general equilibrium models, 543, 10.1016/S1574-0048(99)01011-3 Campbell, 2003, Consumption-based asset pricing, 803, 10.1016/S1574-0102(03)01022-7 Campbell, 1989, Consumption, income, and interest rates: Reinterpreting the time series evidence, 185 Campbell, 1999, Consumption and portfolio decisions when expected returns are time varying, Q. J. Econ., 114, 433, 10.1162/003355399556043 Cashin, 2012, Measuring intertemporal substitution in consumption: Evidence from a VAT increase in Japan, Rev. Econ. Stat., 98, 285, 10.1162/REST_a_00531 de Castro, 2019, Dynamic quantile models of rational behavior, Econometrica, 87, 1893, 10.3982/ECTA15146 de Castro, 2021, Static and dynamic quantile preferences, Econom. Theory, 73, 747, 10.1007/s00199-021-01355-8 de Castro, 2019, Smoothed GMM for quantile models, J. Econometrics, 213, 121, 10.1016/j.jeconom.2019.04.008 de Castro, 2020, Quantile selection in non-linear GMM quantile models, Econom. Lett., 195, 10.1016/j.econlet.2020.109402 de Castro, 2023, Joint elicitation of elasticity of intertemporal substitution, risk and time preferences, Int. J. Finance Econ., 10.1002/ijfe.2879 de Castro, 2022, Do people maximize quantiles?, Games Econom. Behav., 132, 22, 10.1016/j.geb.2021.11.010 Chamberlain, 1984, Panel data, 1248, 10.1016/S1573-4412(84)02014-6 Chen, 2014, Local identification of nonparametric and semiparametric models, Econometrica, 82, 785, 10.3982/ECTA9988 Chernozhukov, 2017, Instrumental variable quantile regression Cochrane, 2005 Crossley, 2011, Is the elasticity of intertemporal substitution constant?, J. Eur. Econ. Assoc., 9, 87, 10.1111/j.1542-4774.2010.01001.x Crump, R.K., Eusepi, S., Tambalotti, A., Topa, G., 2019. Subjective Intertemporal Substitution. Federal Reserve Bank of New York Staff Reports, no. 734. Dacy, 2011, A finance approach to estimating consumption parameters, Econ. Inq., 49, 122, 10.1111/j.1465-7295.2010.00289.x Dynan, 2000, Habit formation in consumer preferences: Evidence from panel data, Amer. Econ. Rev., 90, 397, 10.1257/aer.90.3.391 Epstein, 1989, Substitution, risk aversion, and the temporal behavior of consumption and asset returns: A theoretical framework, Econometrica, 57, 937, 10.2307/1913778 Epstein, 1991, Substitution, risk aversion, and the temporal behavior of consumption and asset returns: An empirical investigation, J. Polit. Econ., 99, 263, 10.1086/261750 Gayle, 2017, Micro-level estimation of optimal consumption choice with intertemporal nonseparability in preferences and measurement errors, J. Bus. Econom. Statist., 36, 227, 10.1080/07350015.2016.1149071 Gruber, 2013, A tax-based estimate of the elasticity of intertemporal substitution, Q. J. Finance, 3, 1, 10.1142/S2010139213500018 Guvenen, 2006, Reconciling conflicting evidence on the elasticity of intertemporal substitution: A macroeconomic perspective, J. Monetary Econ., 53, 1451, 10.1016/j.jmoneco.2005.06.001 Hall, 1988, Intertemporal substitution in consumption, J. Polit. Econ., 96, 339, 10.1086/261539 Hall, 2005 Hansen, 1995, Discounted linear exponential quadratic Gaussian control, IEEE Trans. Automat. Control, 40, 968, 10.1109/9.384242 Hansen, 1982, Generalized instrumental variables estimation of nonlinear rational expectations models, Econometrica, 50, 1269, 10.2307/1911873 Hansen, 1996, Efficient estimation of linear asset pricing models with moving average errors, J. Bus. Econom. Statist., 14, 53 Havranek, 2015, Measuring intertemporal substitution: The importance of method choices and selective reporting, J. Eur. Econom. Assoc., 13, 1180, 10.1111/jeea.12133 Havranek, 2015, Cross-country heterogeneity in intertemporal substitution, J. Int. Econ., 96, 100, 10.1016/j.jinteco.2015.01.012 Heaton, 2008, Can heterogeneity, undiversified risk, and trading frictions solve the equity premium puzzle?, 535 Horowitz, 1998, Bootstrap methods for median regression models, Econometrica, 66, 1327, 10.2307/2999619 Kaplan, 2017, Smoothed estimating equations for instrumental variables quantile regression, Econom. Theory, 33, 105, 10.1017/S0266466615000407 Koenker, 2005 Koenker, 1978, Regression quantiles, Econometrica, 46, 33, 10.2307/1913643 Kreps, 1978, Temporal resolution of uncertainty and dynamic choice theory, Econometrica, 46, 185, 10.2307/1913656 Ljungqvist, 2012 Mankiw, 1991, The consumption of stockholders and non-stockholders, J. Financ. Econ., 29, 97, 10.1016/0304-405X(91)90015-C Manski, 1988, Ordinal utility models of decision making under uncertainty, Theory and Decision, 25, 79, 10.1007/BF00129169 Mendelson, 1987, Quantile-preserving spread, J. Econom. Theory, 42, 334, 10.1016/0022-0531(87)90091-3 Mulligan, 2002 Parker, 2005, Precautionary saving and consumption fluctuations, Amer. Econ. Rev., 95, 1119, 10.1257/0002828054825556 Rostek, 2010, Quantile maximization in decision theory, Rev. Econom. Stud., 77, 339, 10.1111/j.1467-937X.2009.00564.x Rothschild, 1970, Increasing risk: I. A definition, J. Econom. Theory, 2, 225, 10.1016/0022-0531(70)90038-4 Taylor, 2018, Forecasting at scale, Amer. Statist., 72, 37, 10.1080/00031305.2017.1380080 Thimme, 2017, Intertemporal substitution in consumption: A literature review, J. Econ. Surv., 31, 226, 10.1111/joes.12142 Toda, 2015, The double power law in consumption and implications for testing Euler equations, J. Polit. Econ., 123, 1177, 10.1086/682729 Toda, 2017, Fat tails and spurious estimation of consumption-based asset pricing models, J. Appl. Econometrics, 32, 1156, 10.1002/jae.2564 Vissing-Jorgensen, 2002, Limited asset market participation and the elasticity of intertemporal substitution, J. Polit. Econ., 110, 825, 10.1086/340782 Vissing-Jorgensen, 2003, Stock-market participation, intertemporal substitution, and risk-aversion, Amer. Econ. Rev., 93, 383, 10.1257/000282803321947399 Weil, 1989, The equity premium puzzle and the risk-free rate puzzle, J. Monetary Econ., 24, 401, 10.1016/0304-3932(89)90028-7 Weil, 1990, Nonexpected utility in macroeconomics, Q. J. Econ., 105, 29, 10.2307/2937817 Whang, 2006, Smoothed empirical likelihood methods for quantile regression models, Econom. Theory, 22, 173, 10.1017/S0266466606060087 Wüthrich, 2020, A comparison of two quantile models with endogeneity, J. Bus. Econ. Stat., 38, 443, 10.1080/07350015.2018.1514307 Yogo, 2004, Estimating the elasticity of intertemporal substitution when instruments are weak, Rev. Econ. Stat., 86, 797, 10.1162/0034653041811770 Zeldes, 1989, Consumption and liquidity constraints: An empirical investigation, J. Polit. Econ., 97, 305, 10.1086/261605