Shunan Zhao

Biographic Data

ID6958617
NAMEShunan Zhao
GIVEN NAMESShunan
FAMILY NAMEZhao
SIGNATUREZHAO S
AFFILIATIONSOakland University
ORCID0009-0006-1895-6731
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS0
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2025
H-INDEX0

  • Revisiting the Productivity Effects of Public Capital

    Open AccessZhezhi Hou, Shunan Zhao et al.ARTICLEEmpirical Economics2025

  • Can carbon labels shift consumers towards sustainable food? Evidence from Chinese consumers

    Open AccessYalin Xu, Zhiwen Zhang et al.ARTICLESustainable Futures2024References: 13

    Carbon labels are becoming an essential tool for policymakers in many countries to promote low-carbon consumption. To assess customers’ willingness to pay for five carbon-labeled agricultural products (CAP), we used payment card to conduct a questionnaire survey among 641 respondents in Shanghai, Nanjing, Wuhan, and Xi'an, all located in China. This study quantitatively analyzes the influencing factors and interactive mechanisms of the public's w…

  • On the Estimation of Cross-Firm Productivity Spillovers with an Application to FDI

    Emir Malikov, Shunan ZhaoARTICLEThe Review of Economics and…2023

    We develop a novel methodology for the proxy variable identification of firm productivity in the presence of productivity-modifying learning and spillovers, which facilitates a unified internally consistent analysis of the spillover effects among firms. Contrary to the popular two-step empirical approach, ours does not postulate contradictory assumptions about firm productivity across the estimation steps. Instead, we explicitly accommodate cross…

  • Estimation of firm productivity in the presence of spillovers and common shocks

    Open AccessShunan Zhao, Man Jin et al.ARTICLEEmpirical Economics2021

  • Statistical Inference on Panel Data Models

    Shunan Zhao, Ruiqi Liu et al.ARTICLEJournal of Business and Economic…2021

    We propose statistical inferential procedures for nonparametric panel data models with interactive fixed effects in a kernel ridge regression framework. Compared with the traditional sieve methods, our method is automatic in the sense that it does not require the choice of basis functions and truncation parameters. The model complexity is controlled by a continuous regularization parameter which can be automatically selected by the generalized cr…

  • Estimation of firm‐level productivity in the presence of exports

    Open AccessEmir Malikov, Shunan Zhao et al.ARTICLEJournal of Applied Econometrics2020

    Motivated by the long‐standing interest of economists in understanding the nexus between firm productivity and export behavior, this paper develops a novel structural framework for control‐function‐based nonparametric identification of the gross production function and latent firm productivity in the presence of endogenous export opportunities that is robust to recent unidentification critiques of proxy estimators. We provide a workable identific…