Maxwell Dylan Kellogg
Personal Details
First Name: | Maxwell |
Middle Name: | Dylan |
Last Name: | Kellogg |
Suffix: | |
RePEc Short-ID: | pke421 |
[This author has chosen not to make the email address public] | |
https://sites.google.com/view/maxkellogg | |
Affiliation
Økonomisk institutt
Universitetet i Oslo
Oslo, Norwayhttp://www.oekonomi.uio.no/
RePEc:edi:souiono (more details at EDIRC)
Research output
Jump to: Working papers ArticlesWorking papers
- Maxwell Kellogg & Magne Mogstad & Guillaume Pouliot & Alexander Torgovitsky, 2020. "Combining Matching and Synthetic Control to Trade off Biases from Extrapolation and Interpolation," NBER Working Papers 26624, National Bureau of Economic Research, Inc.
Articles
- Maxwell Kellogg & Magne Mogstad & Guillaume A. Pouliot & Alexander Torgovitsky, 2021. "Combining Matching and Synthetic Control to Tradeoff Biases From Extrapolation and Interpolation," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1804-1816, October.
Citations
Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.Working papers
- Maxwell Kellogg & Magne Mogstad & Guillaume Pouliot & Alexander Torgovitsky, 2020.
"Combining Matching and Synthetic Control to Trade off Biases from Extrapolation and Interpolation,"
NBER Working Papers
26624, National Bureau of Economic Research, Inc.
Cited by:
- Billy Ferguson & Brad Ross, 2020. "Assessing the Sensitivity of Synthetic Control Treatment Effect Estimates to Misspecification Error," Papers 2012.15367, arXiv.org, revised Feb 2021.
- Michael Pollmann, 2020. "Causal Inference for Spatial Treatments," Papers 2011.00373, arXiv.org, revised Jan 2023.
- Jonne Lehtimäki & David Sondermann, 2022. "Baldwin versus Cecchini revisited: the growth impact of the European Single Market," Empirical Economics, Springer, vol. 63(2), pages 603-635, August.
- Robert Clark & Christopher Anthony Fabiilli & Laura Lasio, 2021.
"Collusion in the US Generic Drug Industry,"
Working Paper
1474, Economics Department, Queen's University.
- Clark, Robert & Fabiilli, Christopher & Lasio, Laura, 2022. "Collusion in the US generic drug industry," International Journal of Industrial Organization, Elsevier, vol. 85(C).
- Roberta Di Stefano & Giovanni Mellace, 2020.
"The inclusive synthetic control method,"
Working Papers
21/20, Sapienza University of Rome, DISS.
- Stefano, Roberta di & Mellace, Giovanni, 2020. "The inclusive synthetic control method," Discussion Papers on Economics 14/2020, University of Southern Denmark, Department of Economics.
- Roberta Di Stefano & Giovanni Mellace, 2024. "The inclusive Synthetic Control Method," Papers 2403.17624, arXiv.org.
- Jiaming Mao & Jingzhi Xu, 2020. "Ensemble Learning with Statistical and Structural Models," Papers 2006.05308, arXiv.org.
- Brantly Callaway & Tong Li, 2021.
"Policy Evaluation during a Pandemic,"
Papers
2105.06927, arXiv.org, revised Oct 2022.
- Callaway, Brantly & Li, Tong, 2023. "Policy evaluation during a pandemic," Journal of Econometrics, Elsevier, vol. 236(1).
- Sondermann, David & Lehtimäki, Jonne, 2020. "Baldwin vs. Cecchini revisited: the growth impact of the European Single Market," Working Paper Series 2392, European Central Bank.
- Hollingsworth, Alex & Wing, Coady, 2020. "Tactics for design and inference in synthetic control studies: An applied example using high-dimensional data," SocArXiv fc9xt, Center for Open Science.
Articles
- Maxwell Kellogg & Magne Mogstad & Guillaume A. Pouliot & Alexander Torgovitsky, 2021.
"Combining Matching and Synthetic Control to Tradeoff Biases From Extrapolation and Interpolation,"
Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(536), pages 1804-1816, October.
Cited by:
- Omid M. Ardakani & N. Kundan Kishor & Suyong Song, 2024. "Does membership of the EMU matter for economic and financial outcomes?," Contemporary Economic Policy, Western Economic Association International, vol. 42(3), pages 416-447, July.
- Rong J. B. Zhu, 2023. "Synthetic Regressing Control Method," Papers 2306.02584, arXiv.org, revised Oct 2023.
- Guillaume Allaire Pouliot & Zhen Xie, 2022. "Degrees of Freedom and Information Criteria for the Synthetic Control Method," Papers 2207.02943, arXiv.org.
- Xingyu Li & Yan Shen & Qiankun Zhou, 2022.
"Confidence Intervals of Treatment Effects in Panel Data Models with Interactive Fixed Effects,"
Papers
2202.12078, arXiv.org.
- Li, Xingyu & Shen, Yan & Zhou, Qiankun, 2024. "Confidence intervals of treatment effects in panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, vol. 240(1).
- Marco Francesconi & Jonathan James, 2022.
"Alcohol Price Floors and Externalities: The Case of Fatal Road Crashes,"
Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 41(4), pages 1118-1156, September.
- Francesconi, Marco & James, Jonathan, 2022. "Alcohol Price Floors and Externalities: The Case of Fatal Road Crashes," CEPR Discussion Papers 17287, C.E.P.R. Discussion Papers.
- Francesconi, Marco & James, Jonathan, 2022. "Alcohol Price Floors and Externalities: The Case of Fatal Road Crashes," IZA Discussion Papers 15276, Institute of Labor Economics (IZA).
- Marco Francesconi & Jonathan James, 2022. "Alcohol Price Floors and Externalities: The Case of Fatal Road Crashes," CESifo Working Paper Series 9745, CESifo.
- Brantly Callaway & Sonia Karami, 2020.
"Treatment Effects in Interactive Fixed Effects Models with a Small Number of Time Periods,"
Papers
2006.15780, arXiv.org, revised Feb 2022.
- Callaway, Brantly & Karami, Sonia, 2023. "Treatment effects in interactive fixed effects models with a small number of time periods," Journal of Econometrics, Elsevier, vol. 233(1), pages 184-208.
- Zongwu Cai & Ying Fang & Ming Lin & Zixuan Wu, 2023. "A Quasi Synthetic Control Method for Nonlinear Models With High-Dimensional Covariates," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202305, University of Kansas, Department of Economics, revised Aug 2023.
- Bogatyrev, Konstantin & Stoetzer, Lukas, 2024. "Synthetic Control Methods for Proportions," OSF Preprints brhd3, Center for Open Science.
- Roberta Di Stefano & Giovanni Mellace, 2020.
"The inclusive synthetic control method,"
Working Papers
21/20, Sapienza University of Rome, DISS.
- Stefano, Roberta di & Mellace, Giovanni, 2020. "The inclusive synthetic control method," Discussion Papers on Economics 14/2020, University of Southern Denmark, Department of Economics.
- Roberta Di Stefano & Giovanni Mellace, 2024. "The inclusive Synthetic Control Method," Papers 2403.17624, arXiv.org.
- Guido W. Imbens & Davide Viviano, 2023. "Identification and Inference for Synthetic Controls with Confounding," Papers 2312.00955, arXiv.org.
- Sandro Heiniger, 2024. "Data-driven model selection within the matrix completion method for causal panel data models," Papers 2402.01069, arXiv.org.
- Dmitry Arkhangelsky & Guido Imbens, 2023. "Causal Models for Longitudinal and Panel Data: A Survey," Papers 2311.15458, arXiv.org, revised Jun 2024.
More information
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NEP Fields
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