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Original Artikel |
Datum |
Titel |
Autoren Alle Autoren |
| 1 |
[GO] |
2025―Aug―11 |
Bayesian model comparison for large Bayesian VARs after the COVID-19 pandemic |
Joshua C.C. Chan, Xuewen Yu, Wei Zhang |
| 2 |
[GO] |
2024―Jun―08 |
Bridging the Covid-19 data and the epidemiological model using the time-varying parameter SIRD model |
Cem Çakmaklı, Yasin Şimşek |
| 3 |
[GO] |
2024―Jan―09 |
Reprint: Statistical inference for linear mediation models with high-dimensional mediators and application to studying stock reaction to COVID-19 pandemic |
Xu Guo, Runze Li, Jingyuan Liu, Mudong Zeng |
| 4 |
[GO] |
2023―Jun―17 |
Policy evaluation during a pandemic |
Brantly Callaway, Tong Li |
| 5 |
[GO] |
2023―Mai―05 |
The spread of COVID-19 in London: Network effects and optimal lockdowns |
Christian Julliard, Ran Shi, Kathy Yuan |
| 6 |
[GO] |
2023―Jan―23 |
Dividend suspensions and cash flows during the Covid-19 pandemic: A dynamic econometric model |
Davide Pettenuzzo, Riccardo Sabbatucci, Allan Timmermann |
| 7 |
[GO] |
2022―Apr―08 |
Statistical inference for linear mediation models with high-dimensional mediators and application to studying stock reaction to COVID-19 pandemic |
Xu Guo, Runze Li, Jingyuan Liu, Mudong Zeng |
| 8 |
[GO] |
2021―Mai―24 |
Nonparametric comparison of epidemic time trends: The case of COVID-19 |
Marina Khismatullina, Michael Vogt |
| 9 |
[GO] |
2021―Jan―18 |
How to go viral: A covid-19 model with endogenously time-varying parameters |
Paul Ho, Thomas A. Lubik, Christian Matthes |
| 10 |
[GO] |
2020―Dez―17 |
Nowcasting in a pandemic using non-parametric mixed frequency VARs |
Florian Huber, Gary Koop, Luca Onorante, Michael Pfarrhofer, Josef Schreiner |
| 11 |
[GO] |
2020―Nov―28 |
Time varying Markov process with partially observed aggregate data: An application to coronavirus |
C. Gourieroux, J. Jasiak |
| 12 |
[GO] |
2020―Nov―10 |
Introduction to pandemic econometrics/Covid-19 pandemic |
Elie Tamer |
| 13 |
[GO] |
2020―Okt―20 |
Estimation of Covid-19 prevalence from serology tests: A partial identification approach |
Panos Toulis |
| 14 |
[GO] |
2020―Okt―17 |
Causal impact of masks, policies, behavior on early covid-19 pandemic in the U.S. |
Victor Chernozhukov, Hiroyuki Kasahara, Paul Schrimpf |
| 15 |
[GO] |
2020―Okt―16 |
Panel forecasts of country-level Covid-19 infections |
Laura Liu, Hyungsik Roger Moon, Frank Schorfheide |
| 16 |
[GO] |
2020―Sep―26 |
Sparse HP filter: Finding kinks in the COVID-19 contact rate |
Sokbae Lee, Yuan Liao, Myung Hwan Seo, Youngki Shin |
| 17 |
[GO] |
2020―Sep―08 |
When will the Covid-19 pandemic peak? |
Shaoran Li, Oliver Linton |
| 18 |
[GO] |
2020―Sep―07 |
Estimating the fraction of unreported infections in epidemics with a known epicenter: An application to COVID-19 |
Ali Hortaçsu, Jiarui Liu, Timothy Schwieg |
| 19 |
[GO] |
2020―Aug―25 |
Consumer panic in the COVID-19 pandemic |
Michael Keane, Timothy Neal |
| 20 |
[GO] |
2020―Jul―30 |
Identification and estimation of the SEIRD epidemic model for COVID-19 |
Ivan Korolev |
| 21 |
[GO] |
2020―Jul―30 |
Time series analysis of COVID-19 infection curve: A change-point perspective |
Feiyu Jiang, Zifeng Zhao, Xiaofeng Shao |
| 22 |
[GO] |
2020―Mai―06 |
Estimating the COVID-19 infection rate: Anatomy of an inference problem |
Charles F. Manski, Francesca Molinari |
