We use a large-scale representative survey of households from October 19-21 that elicits respondents' expectations about the presidential election's outcome as well as their economic expectations to document several new facts. First, people disagree strongly about the likely outcome of the...

Unconventional fiscal policy uses announcements of future increases in consumption taxes to generate inflation expectations and accelerate consumption expenditure. It is budget neutral and time consistent. We provide preliminary evidence for the effectiveness of such policies using changes in...

Using a new survey of European households, we study how exogenous variation in the macroeconomic uncertainty perceived by households affects their spending decisions. We use randomized information treatments that provide different types of information about the first and/or second moments of...

Using a new survey of European households, we study how exogenous variation in the macroeconomic uncertainty perceived by households affects their spending decisions. We use randomized information treatments that provide different types of information about the first and/or second moments of...

We use a large-scale representative survey of households from October 19-21 that elicits respondents’ expectations about the presidential election’s outcome as well as their economic expectations to document several new facts. First, people disagreed strongly about the likely outcome of the...

This paper uses high-frequency phone survey data from Ethiopia, Malawi, Nigeria, and Uganda to analyze the impacts of the COVID-19 crisis on work (including wage employment, self-employment, and farm work) and income, as well as heterogeneity by gender, family composition, education, age,...

Understanding the impacts of the COVID-19 pandemic on households' welfare in areas at the admin-1 level subject to fragility, conflict, and violence is important to inform programs and policies in this context. Harmonized data from high-frequency phone surveys indicate that, at the onset of the...

Better understanding the geography of women's labor market outcomes within countries is important to inform targeted efforts to increase women's economic empowerment. This paper assesses the extent to which a method that combines simulated survey data from urban areas in Mexico with broadly...

Missing data for return predictors is a common problem in cross sectional asset pricing. Most papers do not explicitly discuss how they deal with missing data but conventional treatments focus on the subset of firms with no missing data for any predictor or impute the unconditional mean. Both...