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Wild Bootstrap Inference for Wildly Different Cluster Sizes (replication data)
The cluster robust variance estimator (CRVE) relies on the number of clusters being sufficiently large. Monte Carlo evidence suggests that the rule of 42 is not true for... -
Forecasting With the Standardized Self‐Perturbed Kalman Filter (replication d...
We propose and study the finite-sample properties of a modified version of the self-perturbed Kalman filter of Park and Jun (Electronics Letters 1992; 28: 558-559) for the... -
Conventional Monetary Policy Transmission During Financial Crises: An Empiric...
This paper studies the effects of a conventional monetary policy shock in the USA during times of high financial stress. The analysis is carried out by introducing a smooth... -
Inside the Crystal Ball: New Approaches to Predicting the Gasoline Price at t...
Appropriate real-time forecasting models for the US retail price of gasoline yield substantial reductions in the mean-squared prediction error (MSPE) at horizons up to 2 years... -
How to Identify and Forecast Bull and Bear Markets? (replication data)
Because the state of the equity market is latent, several methods have been proposed to identify past and current states of the market and forecast future ones. These methods... -
The Early Millennium Slowdown: Replicating the Peersman (2005) Results (repli...
This paper undertakes both a narrow and wide replication of the constant coefficients vector autoregression (VAR) identified with sign restrictions considered by Peersman... -
Forecasting Tail Risks (replication data)
This paper presents an early warning system as a set of multi-period forecasts of indicators of tail real and financial risks obtained using a large database of monthly US data... -
Time Variation in Macro-Financial Linkages (replication data)
We analyze the contribution of credit spread, house and stock price shocks to the US economy based on a time-varying parameter vector autoregressive model. We find that the... -
Replicating the Results in ‘A New Model of Trend Inflation’ Using Particle Ma...
An article by Chan et al. (2013) published in the Journal of Business and Economic Statistics introduces a new model for trend inflation. They allow the trend inflation to... -
Mismatch Shocks and Unemployment During the Great Recession (replication data)
We investigate the macroeconomic consequences of fluctuations in the effectiveness of the labor market matching process with a focus on the Great Recession. We conduct our... -
Bubbles and Crises: The Role of House Prices and Credit (replication data)
This paper utilizes quarterly panel data for 20 OECD countries over the period 1975:Q1-2014:Q2 to explore the importance of house prices and credit in affecting the likelihood... -
Accounting for the Political Uncertainty Factor (replication data)
We build our analysis upon previous work by Bloom et al. (Measuring the Effect of Political Uncertainty. Working Paper, Stanford University, 2012) and Baker et al. (Political... -
Daily House Price Indices: Construction, Modeling, and Longer-run Predictions...
We construct daily house price indices for 10 major US metropolitan areas. Our calculations are based on a comprehensive database of several million residential property... -
Reanalyzing Zero Returns to Education in Germany (replication data)
Pischke and von Wachter (Review of Economics and Statistics 2008; 90(3): 592-598) find zero earnings returns to compulsory schooling in the basic school track in Germany. We... -
Successful Scientific Replication and Extension of Levitt (2008): Child Seats...
Using US fatality data from 1975 to 2003, Levitt (Evidence that seat belts are as effective as child safety seats in preventing death for children aged two and up, Review of... -
Modelling Inflation Volatility (replication data)
This paper discusses estimation of US inflation volatility using time-varying parameter models, in particular whether it should be modelled as a stationary or random walk... -
ECB Monetary Policy Surprises: Identification Through Cojumps in Interest Rat...
This paper proposes a new econometric approach to disentangle two distinct response patterns of the yield curve to monetary policy announcements. Based on cojumps in intraday... -
Maintaining (Locus of) Control? Data Combination for the Identification and I...
Factor structure models are widely used in economics to extract latent variables, such as personality traits, and to measure their impact on outcomes of interest. The... -
Empirical Tests of the Pollution Haven Hypothesis When Environmental Regulati...
The pollution haven hypothesis (PHH) posits that production within polluting industries will shift to locations with lax environmental regulation. While straightforward, the... -
GMM with Multiple Missing Variables (replication data)
We consider efficient estimation in moment conditions models with non-monotonically missing-at-random (MAR) variables. A version of MAR point-identifies the parameters of...