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Institute for Quantitative Theory and Methods
Emory University
Atlanta, Georgia (United States)

These are publications listed in RePEc written by members of the above institution who are registered with the RePEc Author Service. Thus this compiles the works all those currently affiliated with this institution, not those affilated at the time of publication. List of registered members. Register yourself. Citation analysis. This page is updated in the first days of each month.
| Working papers | Journal articles |

Working papers


  1. Richard T. Baillie & Fabio Calonaci & Dooyeon Cho & Seunghwa Rho, 2019. "Long Memory, Realized Volatility and HAR Models," Working Papers 881, Queen Mary University of London, School of Economics and Finance.


  1. Weihua An, 2016. "Combining Difference-in-difference and Matching for Panel Data Analysis," 2016 Stata Conference 21, Stata Users Group.

Journal articles


  1. Weihua An & Tyler J. VanderWeele, 2022. "Opening the Blackbox of Treatment Interference: Tracing Treatment Diffusion through Network Analysis," Sociological Methods & Research, , vol. 51(1), pages 141-164, February.


  1. Weihua An & Adam N. Glynn, 2021. "Treatment Effect Deviation as an Alternative to Blinder–Oaxaca Decomposition for Studying Social Inequality," Sociological Methods & Research, , vol. 50(3), pages 1006-1033, August.
  2. Weihua An, 2021. "Fear Not Scarcity but Inequality, Not Poverty but Instability," Sociological Methods & Research, , vol. 50(3), pages 939-943, August.


  1. Richard T. Baillie & Fabio Calonaci & Dooyeon Cho & Seunghwa Rho, 2019. "Long Memory, Realized Volatility and Heterogeneous Autoregressive Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 40(4), pages 609-628, July.
  2. Rho, Seung-Hwa & Vogelsang, Timothy J., 2019. "Heteroskedasticity Autocorrelation Robust Inference In Time Series Regressions With Missing Data," Econometric Theory, Cambridge University Press, vol. 35(3), pages 601-629, June.


  1. Weihua An & Ying Ding, 2018. "The Landscape of Causal Inference: Perspective From Citation Network Analysis," The American Statistician, Taylor & Francis Journals, vol. 72(3), pages 265-277, July.


  1. An, Weihua & Kweon, Yesola, 2017. "Do higher government wages induce less corruption? Cross-country panel evidence," Journal of Policy Modeling, Elsevier, vol. 39(5), pages 809-826.
  2. An, Weihua & Ye, Maoliang, 2017. "Mind the gap: Disparity in redistributive preference between political elites and the public in China," European Journal of Political Economy, Elsevier, vol. 50(C), pages 75-91.
  3. Weihua An & Christopher Winship, 2017. "Causal Inference in Panel Data With Application to Estimating Race-of-Interviewer Effects in the General Social Survey," Sociological Methods & Research, , vol. 46(1), pages 68-102, January.


  1. An, Weihua & Wang, Xuefu, 2016. "LARF: Instrumental Variable Estimation of Causal Effects through Local Average Response Functions," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 71(c01).
  2. Weihua An, 2016. "On the Directionality Test of Peer Effects in Social Networks," Sociological Methods & Research, , vol. 45(4), pages 635-650, November.


  1. An, Weihua & Mcconnell, Will R., 2015. "The origins of asymmetric ties in friendship networks: From status differential to self-perceived centrality," Network Science, Cambridge University Press, vol. 3(2), pages 269-292, June.
  2. Seunghwa Rho & Peter Schmidt, 2015. "Are all firms inefficient?," Journal of Productivity Analysis, Springer, vol. 43(3), pages 327-349, June.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.