Abstract
This paper proposes a factor instrumental variable quantile regression (FIVQR) estimator and studies its asymptotic properties. The proposed estimators share with quantile regression the advantage of exploring the shape of the conditional distribution of the dependent variable. When there are a factor structure and co-movement for economic variables, the underlying unobservable factors (or common components) are more efficient instruments. The proposed estimators achieve the optimality in the following sense: The method of principal component consistently estimates the space spanned by the ideal instruments which are utilized to control the endogeneity in the quantile regression analysis. Analyzing the asymptotic properties of the estimator, we assume that a panel of observable instruments follows a factor structure and the endogenous variables also share the same unobservable factors. Using the estimated factors as instruments, we show that the FIVQR estimator is consistent and asymptotically normal. Furthermore, when compared in the GMM framework, the proposed estimator is more efficient than the GMM estimator using many observable instruments directly. Monte Carlo studies demonstrate that the proposed estimators perform well. For an empirical application, we use a firm-level panel data set consisting of trading volumes and returns on DJIA to explore the asymmetric return–volume relation, controlling the endogeneity problem with the estimated factor instruments.
Acknowledgments
This is a revised version of a part of the first chapter of my doctoral dissertation submitted to NYU. I would like to thank an anonymous referee for constructive and helpful comments. I am grateful to Heather Anderson, Jushan Bai, Christian Hansen, Konrad Menzel, Ryo Okui, Jörg Stoye, and Yi Xu for valuable discussions and suggestions. I thank Stefania D′Amico and Alexei Onatski for comments and Ronald Gallant for a useful conversation about implementing MCMC. This paper has benefited from presentations at the NYU Econometrics Seminar, NYU Applied Methodology Reading Group, EconCon at Princeton University, Kyoto University, National Taiwan University, Academia Sinica, Taiwan Econometric Society Annual Meeting, The Econometric Society North American Summer Meeting at Northwestern University, Macroeconometric Modelling Workshop at Academia Sinica, and Econometrics Society Australasian Meeting. Part of the research was supported by the National Science Council of Taiwan (NSC101-2410-H-002-002-MY2). Remaining errors of any kind, of course, are mine.
Appendix
Proof of Theorem 2. For simplicity, we assume W is known, replace
where E:=ee′ is assumed to be diagonal for ease of analysis, and finally denote
For the time being, letting N be a fixed number and under Assumptions F and G, we have,
and
where
and
We first show that Ωgmm, Z=Ωgmm, F if N/T→0. From Z=FΛ′+e with e=(e1, e2, …, eT), we can write
We will show that the first term has a limit that is the inverse of Ωgmm, F. Using the fact that
and the result in Bai and Ng (2010, Appendix II), we can show that
since Λ′E–1Λ=O(N). It is straightforward to verify, also by using the results in Bai and Ng (2010, Appendix II), that the sum of the last three terms is negligible in the sense that
as N/T→0. Thus, if N/T→0,
we next show that
It was shown that
From Assumption F, Λ′W(ψ, Z)–1Λ→[ψ(1–ψ)]–1[(1/T)F′F]–1, and
It can be shown that
and
where
Assume
and then
where
Recall that
which implies that
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Supplemental Material
The online version of this article (DOI: 10.1515/snde-2013-0014) offers supplementary material, available to authorized users.
©2015 by De Gruyter
Articles in the same Issue
- Frontmatter
- Efficient bond price approximations in non-linear equilibrium-based term structure models
- Regime-switching cointegration
- Term spread regressions of the rational expectations hypothesis of the term structure allowing for risk premium effects
- Factor instrumental variable quantile regression
- Non-parametric estimation of copula parameters: testing for time-varying correlation
Articles in the same Issue
- Frontmatter
- Efficient bond price approximations in non-linear equilibrium-based term structure models
- Regime-switching cointegration
- Term spread regressions of the rational expectations hypothesis of the term structure allowing for risk premium effects
- Factor instrumental variable quantile regression
- Non-parametric estimation of copula parameters: testing for time-varying correlation