This paper describes and applies econometric strategies for estimating regression models of economic share data outcomes where the shares may take boundary values (zero and one) with nontrivial probability. The main focus of the paper is on the conditional mean structures of such data. The paper...

Many nonmarket valuation models, such as the Ricardian model, have been estimated using cross sectional methods with a single year of data. Although multiple years of data should increase the robustness of such methods, repeated cross sections suggest the results are not stable. We argue that...

In an 80-country panel since the 1960s, the convergence rate for per capita GDP is around 1.7% per year. This "beta convergence" is conditional on an array of explanatory variables that hold constant countries' long-run characteristics. The introduction of country fixed effects generates a much...

We revisit the minimum wage-employment debate, which is as old as the Department of Labor. In particular, we assess new studies claiming that the standard panel data approach used in much of the "new minimum wage research" is flawed because it fails to account for spatial heterogeneity. These...

Using data from 57 countries spanning more than three decades, this paper investigates the effectiveness of nine non-interest rate policy tools, including macroprudential measures, in stabilizing house prices and housing credit. In conventional panel regressions, housing credit growth is...

We construct representative firm-level longitudinal data for twenty-seven European countries using financial statements from the Orbis global database, providing a “how-to” guide on the construction. We validate our dataset by comparing its aggregate coverage to official statistics and...

We study the consequences of protectionism for macroeconomic fluctuations. First, using high-frequency trade policy data, we present fresh evidence on the dynamic effects of temporary trade barriers. Estimates from country-level and panel VARs show that protectionism acts as a supply shock,...

Understanding the determinants of foreign direct investment (FDI) is important for analyzing capital flows and the industrial organization of multinational firms. Most empirical studies of FDI, however, have focused on case studies of nontax factors in overseas investment decisions or on...

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...

We study quot;habituationquot; to income and to status using individual panel data on the happiness of 7,812 people living in Germany from 1984 to 2000. Specifically, we estimate a quot;happiness equationquot; defined over several lags of income and status and compare the long run effects. We...