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A framework for forecasting new COVID-19 cases jointly with hospital admissions and hospital beds with COVID-19 cases … forecasts (7 day horizon) produced by a forecasting project at the University of Oxford, shows only little difference in terms … responses to a central model parameter to be forecasted by an estimated smooth-transition function. The forecasting performance …
Persistent link: https://www.econbiz.de/10014540890
al. 2018) and evaluate their forecasting performance during the COVID19 pandemic of 2020. We compare the results of …
Persistent link: https://www.econbiz.de/10014545966
Persistent link: https://www.econbiz.de/10004922267
We study how individual unemployment expectations are shaped and updated using a unique longitudinal survey data set with subjective unemployment expectations. The survey data is linked with third-party reported administrative data on unemployment realizations, such that we are able to examine...
Persistent link: https://www.econbiz.de/10014551595
In this paper we describe the newly developed System for Model Analysis in Real Time (SMART) used for forecasting and … model analysis in Norges Bank. While the long-term goal is to include all empirical models used in forecasting in Norges …
Persistent link: https://www.econbiz.de/10014551749
We consider the effects of 'precision' screening policies for cancer guided by algorithms. We first show that complex machine learning models can indeed predict cancer better than simpler models that use established risk factors. We then tackle the evaluation challenge: an algorithm that can...
Persistent link: https://www.econbiz.de/10014551751