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Ranking intersecting distribution functions (replication data)
Second-degree dominance has become a widely accepted criterion for ordering distribution functions according to social welfare. However, it provides only a partial ordering, and... -
A cross‐section average‐based principal components approach for fixed‐T panel...
Because of the increased availability of large panel data sets, common factor models have become very popular. The workhorse of the literature is the principal components (PC)... -
Negative interest rate policy and the yield curve (replication data)
We evaluate the implications of the ECB's negative interest rate policy (NIRP) on the yield curve. To capture various shapes of the short end of the yield curve induced by the... -
Does drawing down the US Strategic Petroleum Reserve help stabilize oil price...
We study the effects of releases from the US Strategic Petroleum Reserve (SPR) within the context of fully specified models of the global oil market that explicitly allow for... -
Replicating the Levitt and Porter estimates of drunk driving (replication data)
Estimates of the prevalence and risk of drinking-and-driving are a high-priority need for researchers and policymakers. Levitt and Porter (Journal of Political Economy, 2001,... -
Differencing versus nondifferencing in factor‐based forecasting (replication ...
This paper studies performance of factor-based forecasts using differenced and nondifferenced data. Approximate variances of forecasting errors from the two forecasts are... -
Composite likelihood methods for large Bayesian VARs with stochastic volatili...
Adding multivariate stochastic volatility of a flexible form to large vector autoregressions (VARs) involving over 100 variables has proved challenging owing to computational... -
The role of startups for local labor markets (replication data)
There are substantial differences in startup activity across US local labor markets. We study the causes and consequences of these differences. Startup productivity shocks are... -
Change point estimation in panel data with time‐varying individual effects (r...
Existing panel data methods remove unobserved individual effects before change point estimation through data transformations such as first-differencing. In this paper, we show... -
Decomposing the effects of monetary policy using an external instruments SVAR...
We study the effects of monetary policy on economic activity separately identifying the effects of a conventional change in the fed funds rate from the policy of forward... -
Hidden group patterns in democracy developments: Bayesian inference for group...
We propose a nonparametric Bayesian approach to estimate time-varying grouped patterns of heterogeneity in linear panel data models. Unlike the classical approach in Bonhomme... -
Estimation in a generalization of bivariate probit models with dummy endogeno...
The purpose of this paper is to provide guidelines for empirical researchers who use a class of bivariate threshold crossing models with dummy endogenous variables. A common... -
Two applications of wild bootstrap methods to improve inference in cluster‐IV...
Microeconomic data often have within-cluster dependence, which affects standard error estimation and inference. When the number of clusters is small, asymptotic tests can be... -
Tax shocks with high and low uncertainty (replication data)
We assess whether the effects of fiscal policy depend on the extent of uncertainty in the economy. Focusing on tax shocks, identified by the narrative series by Romer and Romer... -
Structural changes in heterogeneous panels with endogenous regressors (replic...
This paper extends Pesaran's (Econometrica, 2006, 74, 967-1012) common correlated effects (CCE) by allowing for endogenous regressors in large heterogeneous panels with unknown... -
Exogenous uncertainty and the identification of structural vector autoregress...
We provide necessary and sufficient conditions for the identification (point-identification) of structural vector autoregressions (SVARs) with external instruments considering... -
Measuring mortgage credit availability: A frontier estimation approach (repli...
We construct a new measure of mortgage credit availability using a technique developed for production frontier estimation. The resulting loan frontier describes the maximum... -
Mostly harmless simulations? Using Monte Carlo studies for estimator selectio...
We consider two recent suggestions for how to perform an empirically motivated Monte Carlo study to help select a treatment effect estimator under unconfoundedness. We show... -
Homogeneity pursuit in panel data models: Theory and application (replication...
This paper studies the estimation of a panel data model with latent structures where individuals can be classified into different groups with the slope parameters being... -
Indirect inference with time series observed with error (replication data)
We propose the indirect inference estimator as a consistent method to estimate the parameters of a structural model when the observed series are contaminated by measurement...
