Acemoglu, D., V. Chernozhukov, I. Werning, and M. D. Whinston (2020). Optimal targeted lockdowns in a multi-group SIR model. Working Paper 27102, National Bureau of Economic Research.
Alvarez, F. E., D. Argente, and F. Lippi (2020). A simple planning problem for COVID-19 lockdown. Working Paper 26981, National Bureau of Economic Research.
Andrews, D. W. (1992). Generic uniform convergence. Econometric theory 8(2), 241– 257.
Atkeson, A. (2020). What will be the economic impact of COVID-19 in the US? Rough estimates of disease scenarios. Working Paper 26867, National Bureau of Economic Research.
Aum, S., S. Y. T. Lee, and Y. Shin (2020). COVID-19 doesn’t need lockdowns to destroy jobs: The effect of local outbreaks in Korea. Working Paper 27264, National Bureau of Economic Research.
Avery, C., W. Bossert, A. Clark, G. Ellison, and S. F. Ellison (2020). Policy implications of models of the spread of coronavirus: Perspectives and opportunities for economists. Working Paper 27007, National Bureau of Economic Research.
- Bühlmann, P. and B. Yu (2003). Boosting with the l2 loss. Journal of the American Statistical Association 98(462), 324–339.
Paper not yet in RePEc: Add citation now
- BBC News (2020a). Boris Johnson speech: PM unveils ‘conditional plan’ to reopen society. https://www.bbc.co.uk/news/uk-52609952. Updated: 2020-05-10. Accessed: 2020-06-14.
Paper not yet in RePEc: Add citation now
- BBC News (2020b). Coronavirus: Boris Johnson’s address to the nation in full. https: //www.bbc.co.uk/news/uk-52011928. Updated: 2020-03-23. Accessed: 2020-0614.
Paper not yet in RePEc: Add citation now
Belloni, A., V. Chernozhukov, and L. Wang (2011). Square-root lasso: pivotal recovery of sparse signals via conic programming. Biometrika 98(4), 791–806.
- Bertsimas, D. and B. Van Parys (2020). Sparse high-dimensional regression: Exact scalable algorithms and phase transitions. Annals of Statistics 48(1), 300–323.
Paper not yet in RePEc: Add citation now
- Bertsimas, D., A. King, and R. Mazumder (2016, 04). Best subset selection via a modern optimization lens. Annals of Statistics 44(2), 813–852.
Paper not yet in RePEc: Add citation now
- Bloomberg (2020). China to lift lockdown over virus epicenter Wuhan on april 8. https://www.bloomberg.com/news/articles/2020-03-24/ china-to-lift-lockdown-over-virus-epicenter-wuhan-on-april-8. Updated: 2020-03-24. Accessed: 2020-06-15.
Paper not yet in RePEc: Add citation now
- CBC News (2020). Coronavirus: Here’s what’s happening in Canada and around the world on march 13. https://www.cbc.ca/news/canada/ coronavirus-updates-1.5496334. Updated: 2020-03-13. Accessed: 2020-0615.
Paper not yet in RePEc: Add citation now
Chen, L.-Y. and S. Lee (2018a). Best subset binary prediction. Journal of Econometrics 206(1), 39–56.
Chen, L.-Y. and S. Lee (2018b). High dimensional classification through `0-penalized empirical risk minimization. arXiv preprint arXiv:1811.09540.
Chernozhukov, V., H. Kasaha, and P. Schrimpf (2020). Causal impact of masks, policies, behavior on early Covid-19 pandemic in the U.S. arXiv:2005.14168. https: //arxiv.org/abs/2005.14168.
Cornea-Madeira, A. (2017). The explicit formula for the Hodrick-Prescott filter in a finite sample. Review of Economics and Statistics 99(2), 314–318.
- CTV News (2020). Covid-19 in Quebec: A timeline of key dates and events. https://montreal.ctvnews.ca/ covid-19-in-quebec-a-timeline-of-key-dates-and-events-1.4892912.
Paper not yet in RePEc: Add citation now
de Jong, R. M. and N. Sakarya (2016). The econometrics of the Hodrick-Prescott filter. Review of Economics and Statistics 98(2), 310–317.
- Dong, E., H. Du, and L. Gardner (2020). An interactive web-based dashboard to track COVID-19 in real time. The Lancet infectious diseases 20(5), 533–534.
Paper not yet in RePEc: Add citation now
Eichenbaum, M. S., S. Rebelo, and M. Trabandt (2020). The macroeconomics of epidemics. Working Paper 26882, National Bureau of Economic Research.
Fernández-Villaverde, J. and C. I. Jones (2020). Estimating and simulating a SIRD model of COVID-19 for many countries, states, and cities. https://web.stanford.
- Fu, A., B. Narasimhan, and S. Boyd (2017). CVXR: An R package for disciplined convex optimization. arXiv:1711.07582. https://arxiv.org/abs/1711.07582.
Paper not yet in RePEc: Add citation now
- Global News (2020). A timeline of the novel coronavirus in Ontario. https: //globalnews.ca/news/6859636/ontario-coronavirus-timeline/. Updated: 2020-06-08. Accessed: 2020-06-14.
Paper not yet in RePEc: Add citation now
Hamilton, J. D. (2018). Why you should never use the Hodrick-Prescott filter. Review of Economics and Statistics 100(5), 831–843.
- Hartl, T., K. Wälde, and E. Weber (2020). Measuring the impact of the German public shutdown on the spread of Covid-19. Covid Economics, Vetted and Real-Time Papers.
Paper not yet in RePEc: Add citation now
- Harvey, A. and P. Kattuman (2020). Time series models based on growth curves with applications to forecasting coronavirus. Covid Economics, Vetted and Real-Time Papers. Issue 24, 1 June 2020.
Paper not yet in RePEc: Add citation now
- Hastie, T., R. Tibshirani, and R. J. Tibshirani (2017). Extended comparisons of best subset selection, forward stepwise selection, and the lasso. arXiv:1707.08692. https://arxiv.org/abs/1707.08692.
Paper not yet in RePEc: Add citation now
- Hethcote, H. W. (2000). The mathematics of infectious diseases. SIAM Review 42(4), 599–653.
Paper not yet in RePEc: Add citation now
- Huang, J., Y. Jiao, Y. Liu, and X. Lu (2018). A constructive approach to l0 penalized regression. Journal of Machine Learning Research 19(10), 1–37.
Paper not yet in RePEc: Add citation now
- Kim, S.-J., K. Koh, S. Boyd, and D. Gorinevsky (2009). `1 trend filtering. SIAM review 51(2), 339–360.
Paper not yet in RePEc: Add citation now
- Krispin, R. (2020). coronavirus: The 2019 Novel Coronavirus COVID-19 (2019nCoV) Dataset. R package version 0.2.0 https://github.com/RamiKrispin/ coronavirus.
Paper not yet in RePEc: Add citation now
Li, S. and O. Linton (2020). When will the Covid-19 pandemic peak? Working Paper 2020/11, University of Cambridge. https://www.inet.econ.cam.ac.uk/ research-papers/wp-abstracts?wp=2011.
- Liu, L., H. R. Moon, and F. Schorfheide (2020). Panel forecasts of country-level Covid19 infections. Working Paper 27248, National Bureau of Economic Research.
Paper not yet in RePEc: Add citation now
- Ludvigson, S. C., S. Ma, and S. Ng (2020). Covid19 and the macroeconomic effects of costly disasters. Working Paper 26987, National Bureau of Economic Research.
Paper not yet in RePEc: Add citation now
Manski, C. F. (2020). Bounding the predictive values of COVID-19 antibody tests. Working Paper 27226, National Bureau of Economic Research.
Manski, C. F. and F. Molinari (2020). Estimating the COVID-19 infection rate: Anatomy of an inference problem. Journal of Econometrics. forthcoming.
- Mazumder, R., P. Radchenko, and A. Dedieu (2017). Subset selection with shrinkage: Sparse linear modeling when the SNR is low. arXiv:1708.03288. https://arxiv. org/abs/1708.03288.
Paper not yet in RePEc: Add citation now
- Office for National Statistics (2020). Coronavirus (COVID-19) Infection Survey pilot: England. https://www.ons.gov.uk/peoplepopulationandcommunity/ healthandsocialcare/conditionsanddiseases/bulletins/ coronaviruscovid19infectionsurveypilot/england21may2020. Release date: 2020-05-21. Accessed: 2020-06-02.
Paper not yet in RePEc: Add citation now
- Park, S., Y. Kim, S. Yi, S. Lee, B. Na, C. Kim, and et al. (2020). Coronavirus disease outbreak in call center, South Korea. Emerging Infectious Diseases 26(8). An early release version is available at: https://doi.org/10.3201/eid2608.201274.
Paper not yet in RePEc: Add citation now
Pindyck, R. S. (2020). COVID-19 and the welfare effects of reducing contagion. Working Paper 27121, National Bureau of Economic Research.
Ravn, M. O. and H. Uhlig (2002). On adjusting the Hodrick-Prescott filter for the frequency of observations. The Review of Economics and Statistics 84(2), 371–376.
Stock, J. H. (2020). Data gaps and the policy response to the novel coronavirus. Working Paper 26902, National Bureau of Economic Research.
- The New York Times (2020a). How South Korea flattened the curve. https://www.nytimes.com/2020/03/23/world/asia/ coronavirus-south-korea-flatten-curve.html. Updated: 2020-04-10. Accessed: 2020-06-15.
Paper not yet in RePEc: Add citation now
- The New York Times (2020b). How the coronavirus pandemic unfolded: a timeline.
Paper not yet in RePEc: Add citation now
- The New York Times (2020c). See how all 50 states are reopening. https://www. nytimes.com/interactive/2020/us/states-reopen-map-coronavirus.html.
Paper not yet in RePEc: Add citation now
- The New York Times (2020d). See which states and cities have told residents to stay at home. https://www.nytimes.com/interactive/2020/us/ coronavirus-stay-at-home-order.html. Updated: 2020-04-20. Accessed: 202006 -06.
Paper not yet in RePEc: Add citation now
- Tibshirani, R. J. (2014). Adaptive piecewise polynomial estimation via trend filtering. Annals of Statistics 42(1), 285–323.
Paper not yet in RePEc: Add citation now
Toda, A. A. (2020). Susceptible-infected-recovered (SIR) dynamics of Covid-19 and economic impact. Covid Economics, Vetted and Real-Time Papers. Issue 1, 3 April 2020.
- Van Der Vaart, A. W. and J. A. Wellner (1996). Weak convergence. Springer, New York, NY.
Paper not yet in RePEc: Add citation now
- Wang, Y.-X., J. Sharpnack, A. J. Smola, and R. J. Tibshirani (2016). Trend filtering on graphs. Journal of Machine Learning Research 17(1), 3651–3691.
Paper not yet in RePEc: Add citation now
- Xinhua (2020). Fighting Covid-19, China in action. http://www.xinhuanet.com/ english/2020-06/07/c_139120424.htm. Updated: 2020-03-24. Accessed: 202006 -15.
Paper not yet in RePEc: Add citation now