We estimate cross-border spillover effects of fiscal consolidation episodes on output, bilateral trade flows, interest rate, and the exchange rate, employing the new IMF action-based fiscal consolidation data. Results indicate a negative effect of foreign fiscal consolidation policies on...

We re-examin the notion of identifying macroeconomic effects using the narrative approach taking as an application the estimation of tax multipliers. We point out to a test for the checking the adequacy of regressing the narrative measure directly on the outcome variable. This test...

A number of recent studies regress a "narratively" identified measure of a macroeconomic shock directly on an outcome variable. In this note, we argue that this approach can be viewed as the reduced-form regression of an instrumental variable approach in which the narrative time series is used...

A number of recent studies regress a "narratively" identified measure of a macroeconomic shock directly on an outcome variable. In this note, we argue that this approach can be viewed as the reduced-form regression of an instrumental variable approach in which the narrative time series is used...

We study the effects of federal purchases on firm investment using a novel panel dataset that combines federal procurement contracts in the United States with key financial firm-level information. Using panel fixed-effect models, propensity score matching, and inverse probability weighting...

We study the determinants of local governments' reliance on bank loans using granular data from the Federal Reserve. Governments that are larger, rely on stable revenue sources, or have higher spending relative to revenues are more likely to borrow from banks. About a third of governments in the...

Mining 29,000 accounting ratios for t-statistics over 2.0 leads to cross-sectional predictability similar to the peer review process. For both methods, about 50% of predictability remains after the original sample periods. Data mining generates other features of peer review including the rise in...

We study the determinants of local governments' reliance on bank loans using granular data from the Federal Reserve. Governments that are larger, riskier, rely on historically stable revenue sources, or have higher spending relative to revenues are more likely to borrow from banks. Declines in...

We provide data and code that successfully reproduces nearly all crosssectional stock return predictors. Unlike most metastudies, we carefully examine the original papers to determine whether our predictability tests should produce t-stats above 1.96. For the 180 predictors that were clearly...

Using confidential loan-level data, we investigate the importance of bank loans in the debt structure of U.S. state and local governments. We show that most bank debt is closely substitutable with municipal bonds and that smaller, lower-income and less credit-worthy borrowers are more reliant on...