Semiparametric Partially Linear Varying Coefficient Modal Regression

Aman Ullah, Tao Wang and Weixin Yao ()
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Weixin Yao: University of California Riverside

No 202215, Working Papers from University of California at Riverside, Department of Economics

Abstract: We in this paper propose a semiparametric partially linear varying coefficient (SPLVC) modal regression, in which the conditional mode function of the response variable given covariates admit a partially linear varying coefficient structure. In comparison to existing regressions, the newly developed SPLVC modal regression captures the most likely effect and provides superior prediction performance when the data distribution is skewed. The consistency and asymptotic properties of the resultant estimators for both parametric and nonparametric parts are rigorously established. We employ a kernel-based objective function to simplify the computation and a modified modal-expectation-maximization (MEM) algorithm to estimate the model numerically. Furthermore, taking the residual sums of modes as the loss function, we construct a goodness of fit testing statistic for hypotheses on the coefficient functions, whose limiting null distribution is shown to follow an asymptotically normal-distribution with a scale dependent on density functions. To achieve sparsity in the high-dimensional SPLVC modal regression, we develop a regularized estimation procedure by imposing a penalty on the coefficients in the parametric part to eliminate the irrelevant variables. Monte Carlo simulations and two real-data applications are conducted to examine the performance of the suggested estimation methods and hypothesis test. We also briefly explore the extension of the SPLVC modal regression to the case where some varying coefficient functions admit higher-order smoothness.

Keywords: Goodness of fit test; MEM algorithm; Modal regression; Oracle property; Partially linear varying coefficient (search for similar items in EconPapers)
JEL-codes: C01 C12 C14 C50 (search for similar items in EconPapers)
Pages: 87 Pages
Date: 2022-06, Revised 2022-06
New Economics Papers: this item is included in nep-ecm and nep-for
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Citations: View citations in EconPapers (2)

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https://economics.ucr.edu/repec/ucr/wpaper/202215.pdf First version, 2022 (application/pdf)
https://economics.ucr.edu/repec/ucr/wpaper/202215R.pdf Revised version, 2022 (application/pdf)

Related works:
Journal Article: Semiparametric partially linear varying coefficient modal regression (2023)
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