-
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... -
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... -
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... -
A factor‐augmented vector autoregressive (FAVAR) approach for monetary policy...
This dataset has no description
-
Estimating the U.S. output gap with state‐level data (replication data)
This paper develops a method to estimate the U.S. output gap by exploiting the cross-sectional variation of state-level output and unemployment rate data. The model assumes that... -
Controlling for ability using test scores (replication data)
This paper proposes a semiparametric method to control for ability using standardized test scores, or other item response assessments, in a regression model. The proposed method... -
A robust approach to estimating production functions: Replication of the ACF ...
We study Ackerberg, Caves, and Frazer's (Econometrica, 2015, 83, 2411-2451; hereafter ACF) production function estimation method using Monte Carlo simulations. First, we... -
Towards causal estimates of children's time allocation on skill development (...
In this paper we examine how children's time allocation affects their accumulation of cognitive skill. Children's time allocation is endogenous in a model of skill production... -
Systemic risk and bank business models (replication data)
In this paper, we decompose banks' systemic risk into two dimensions: the risk of a bank (?bank tail risk?) and the link of the bank to the system in financial distress... -
Measuring the natural rate of interest: A note on transitory shocks (replicat...
We present evidence that the natural rate of interest is buffeted by both permanent and transitory shocks. We establish this result by estimating a benchmark model with Bayesian... -
Real‐time forecast combinations for the oil price (replication data)
Baumeister and Kilian (Journal of Business and Economic Statistics, 2015, 33(3), 338-351) combine forecasts from six empirical models to predict real oil prices. In this paper,... -
Selecting structural innovations in DSGE models (replication data)
Dynamic stochastic general equilibrium (DSGE) models are typically estimated assuming the existence of certain structural shocks that drive macroeconomic fluctuations. We... -
Private returns to R&D in the presence of spillovers, revisited (replicat...
This is both a replication of Eberhardt et al. (Review of Economics and Statistics, 2013, 95(2), 436-448) using different software, and a critical extension and diagnostic... -
(Under)Mining local residential property values: A semiparametric spatial qua...
Rock mining operations, including limestone and gravel production, have considerable adverse effects on residential quality of life due to elevated noise and dust levels... -
The puzzling effects of monetary policy in VARs: Invalid identification or mi...
Standard vector autoregressions (VARs) often find puzzling effects of monetary policy shocks. Is this due to an invalid (recursive) identification scheme, or because the... -
The approximate solution of finite‐horizon discrete‐choice dynamic programmin...
The estimation of finite-horizon discrete-choice dynamic programming (DCDP) models is computationally expensive. This limits their realism and impedes verification and...