This paper considers the problem of forecasting a collection of short time series using cross sectional information in panel data. We construct point predictors using Tweedie's formula for the posterior mean of heterogeneous coefficients under a correlated random effects distribution. This...

There is a fast growing literature that partially identifies structural vector autoregressions (SVARs) by imposing sign restrictions on the responses of a subset of the endogenous variables to a particular structural shock (sign-restricted SVARs). To date, the methods that have been used are...

A large sample approximation of the posterior distribution of partially identified structural parameters is derived for models that can be indexed by a finite-dimensional reduced form parameter vector. It is used to analyze the differences between frequentist confidence sets and Bayesian...

We use a dynamic panel Tobit model with heteroskedasticity to generate point, set, and density forecasts for a large cross-section of short time series of censored observations. Our fully Bayesian approach allows us to flexibly estimate the cross-sectional distribution of heterogeneous...

We use dynamic panel data models to generate density forecasts for daily Covid-19 infections for a panel of countries/regions. At the core of our model is a specification that assumes that the growth rate of active infections can be represented by autoregressive fluctuations around a downward...

In an urbanizing world economy featuring thousands of cities, households and firms have strong incentives to make locational investments and self protection choices to reduce their exposure to new climate change induced risks. This pursuit of self interest reduces the costs imposed by climate...

The geographical location of economic activity within the United States has important implications for carbon mitigation. If households clustered in California's cities rather than in more humid southern cities such as Memphis and Houston, then the average household carbon footprint would be...

Public finance theories of the median voter's preferences and local public sector rent extraction posit that liberal cities and high amenity cities will feature a larger, better paid local public sector. Compensating differentials theory predicts that real wages will be lower in beautiful states...

The racial and ethnic composition of home buyers varies across geographic locations. For example, Asians and Hispanics are much more likely to buy homes in California than Blacks and Blacks are more likely to buy homes in Georgia than other demographic groups. Home prices grow at different rates...

Place-based investments can have unintended general equilibrium effects and face challenges of time inconsistency. This paper simulates the granular impact of alternative spatial and temporal designs of such investments, using Quantitative Spatial Models where the strategy of the policymaker is...