Forecasting during the COVID-19 pandemic entails a great deal of uncertainty. The same way that we would like electoral forecasters to include their confidence intervals to account for such uncertainty, we assume that COVID-19-related forecasts should follow that norm. Based on literature on...

The authors model COVID infections and COVID deaths, both reported and implied, for the 50 U.S. states as well as the District of Columbia, and separately for a sample of 33 countries, as a function of pre-existing circumstances that citizens have no ability to control over the short term. These...

There are many alternative approaches to selecting mortality models and forecasting mortality. The standard practice is to produce forecasts using a single model such as the Lee-Carter, the Cairns-Blake-Dowd, or the Age- Period-Cohort model, with model selection based on in-sample goodness of...

Since testing for COVID-19 infections is not at all randomized over the general population, most epidemiological model forecasts of deaths are subject to `selection bias.' This paper updates and supplements Vinod and Theiss (2020), where the bias correction using generalized linear models (GLM)...

In 2015, an estimated 429,000 deaths and 212 million cases of malaria occurred worldwide, while 70% of the deaths occurred in children under five years old. Changes in climatic exposure such as temperature and precipitation makes malaria one of the most climate sensitive outcomes. Using a global...

In 2015, an estimated 429,000 deaths and 212 million cases of malaria occurred worldwide, while 70% of the deaths occurred in children under five years old. Changes in climatic exposure such as temperature and precipitation makes malaria one of the most climate sensitive outcomes. Using a global...

We offer state-wise forecasts of COVID-19 pandemic deaths for the week ending August 10, 2020 based on a sample selection model to correct for rationed and biased testing for the virus. We refer the reader to our earlier papers including Vinod and Theiss (2020b) and Vinod and Theiss (2020a),...

While there is no doubt that health is strongly correlated with education, whether schooling exerts a causal impact on health is not yet firmly established. We exploit Dutch compulsory schooling laws in a Regression Discontinuity Design applied to linked data from health surveys, tax files and...

This paper studies the relationship between retirement and mortality, using a unique administrative data set covering the full population of Norway. We make use of a series of retirement policy changes in Norway, which reduced the retirement age for a group of workers but not for others. By...

Using variation across geographical regions, a number of studies from the U.S. and other developed countries have found more deaths in economic upturns and less deaths in economic downturns. We use data from regions in Norway for 1977-2008 and find the same procyclical patterns. Using...