| Standard Synthetic Control Methods: The Case Of Using All Pre-Intervention Outcomes Together With Covariates A Kaul, S Klößner, G Pfeifer, M Schieler Journal of Business & Economic Statistics, 1-34, 2021 | 456* | 2021 |
| International spillovers of policy uncertainty S Klößner, R Sekkel Economics Letters 124 (3), 508-512, 2014 | 276 | 2014 |
| Opinion dynamics and wisdom under conformity B Buechel, T Hellmann, S Klößner Journal of Economic Dynamics and Control 52, 240-257, 2015 | 118* | 2015 |
| Exploring all VAR orderings for calculating spillovers? Yes, we can!—a note on Diebold and Yilmaz (2009) S Klößner, S Wagner Journal of Applied Econometrics 29 (1), 172-179, 2014 | 83 | 2014 |
| Comparative politics and the synthetic control method revisited: A note on Abadie et al.(2015) S Klößner, A Kaul, G Pfeifer, M Schieler Swiss journal of economics and statistics 154 (1), 1-11, 2018 | 82 | 2018 |
| Fast and reliable computation of generalized synthetic controls M Becker, S Klößner Econometrics and Statistics 5, 1-19, 2018 | 61 | 2018 |
| PearsonDS: Pearson Distribution System, 2017 M Becker, S Klößner R package version 1, 0 | 45* | |
| Odd odds: The UEFA Champions League Round of 16 draw K Stefan Journal of Quantitative Analysis in Sports 9 (3), 249-270, 2013 | 31* | 2013 |
| Modeling and measuring intraday overreaction of stock prices S Klößner, M Becker, R Friedmann Journal of Banking & Finance 36 (4), 1152-1163, 2012 | 31 | 2012 |
| MSCMT: Multivariate Synthetic Control Method Using Time Series M Becker, S Klößner R package version 1 (3), 2018 | 30* | 2018 |
| Estimating the economic costs of organized crime by synthetic control methods M Becker, S Klößner Journal of Applied Econometrics 32 (7), 1367-1369, 2017 | 27 | 2017 |
| Synthesizing Cash for Clunkers: Stabilizing the car market, hurting the environment S Klößner, G Pfeifer ZBW-Deutsche Zentralbibliothek für Wirtschaftswissenschaften, Leibniz …, 2015 | 26 | 2015 |
| A high-low-based omnibus test for symmetry, the Lévy property, and other hypotheses on intraday returns S Klößner Finance and Stochastics 14 (1), 1-12, 2010 | 20* | 2010 |
| Explaining constraint interaction: How to interpret estimated model parameters under alternative scaling methods S Klößner, E Klopp Structural Equation Modeling: A Multidisciplinary Journal 26 (1), 143-155, 2019 | 15 | 2019 |
| The impact of scaling methods on the properties and interpretation of parameter estimates in structural equation models with latent variables E Klopp, S Klößner Structural Equation Modeling: A Multidisciplinary Journal 28 (2), 182-206, 2021 | 14 | 2021 |
| Robustness and computation of spillover measures for financial asset returns and volatilities S Klößner, S Wagner Working Paper, 2012 | 14 | 2012 |
| Outside the box: Using synthetic control methods as a forecasting technique S Klößner, G Pfeifer Applied Economics Letters 25 (9), 615-618, 2018 | 13 | 2018 |
| Cross-validating synthetic controls M Becker, S Klößner, G Pfeifer Economics Bulletin 38 (1), 603-609, 2017 | 12 | 2017 |
| A Hausman test for Brownian motion M Becker, R Friedmann, S Klößner, W Sanddorf-Köhle AStA Advances in Statistical Analysis 91 (1), 3-21, 2007 | 11 | 2007 |
| The importance of tax adjustments when evaluating wage expectations S Klößner, G Pfeifer The Scandinavian Journal of Economics 121 (2), 578-605, 2019 | 10 | 2019 |
Gregor PfeiferUniversity of Sydney, CESifo, IZAVerified email at sydney.edu.au
