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Inattention and the impact of monetary policy (replication data)
Replication material for “Inattention and the impact of monetary policy” by Zidong An, Salem Abo-Zaid and Xuguang Simon Sheng, published in Journal of Applied Econometrics. -
Global Financial Uncertainty (replication data)
Giovanni Caggiano and Efrem Castelnuovo's "Global Financial Uncertainty" dataset. It contains: i) the monthly volatility data used to estimate our global, region, and... -
Testing for multiple level shifts with an integrated or stationary noise comp...
We provide the MATLAB code and datasets to replicate the computation that are carried out in the empirical section of the paper -
Testing Identifying Assumptions in Bivariate Probit Models (replication data)
This paper considers the bivariate probit model's identifying assumptions: linear index specification, joint normality of errors, instrument exogeneity, and relevance. First, we... -
Robust Forecast Superiority Testing with an Application to Assessing Pools of...
We develop a forecast superiority testing methodology which is robust to the choice of loss function. Following Jin, Corradi and Swanson (JCS: 2017), we rely on a mapping... -
Testing for random assignment to peer groups
Replication material for `Testing for random assignment to peer groups' by Koen Jochmans, published in Journal of Applied Econometrics. -
Inference in Difference-in-Differences: How Much Should we Trust in Independe...
Replication material for 'Inference in Difference-in-Differences: How Much Should we Trust in Independent Clusters?' by Bruno Ferman, published in Journal of Applied Econometrics. -
The Employment Effects of the Minimum Wage: A Selection Ratio Approach to Mea...
Replication files for David Slichter, "The Employment Effects of the Minimum Wage: A Selection Ratio Approach to Measuring Treatment Effects,” Journal of Applied Econometrics,... -
Hours Worked and the U.S. Distribution of Real Annual Earnings 1976--2019 (re...
This dataset has no description
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Bayesian Collapsed Gibbs Sampling for a Stochastic Volatility Model with a Di...
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Real-time Macroeconomic Projection Using Narrative Central Bank Communication...
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Deep Distributional Time Series Models and the Probabilistic Forecasting of I...
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Identifying and Interpreting the Factors in Factor models via Sparsity: Diffe...
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Density Forecasting with BVAR Models under Macroeconomic Data Uncertainty (re...
This dataset has no description
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Should We Trust Cross Sectional Multiplier Estimates (replication data)
This dataset has no description
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New Evidence on the Importance of Instruction Time for Student Achievement on...
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Equity‐premium prediction: Attention is all you need (replication data)
Predictions of stock returns are greatly improved relative to low-dimensional forecasting regressions when the forecasts are based on the estimated factor of large data sets,... -
Did earnings mobility change after minimum wage introduction? Evidence from p...
We analyze the evolution of earnings mobility in Germany between 2011 and 2018. We use transition matrices and parametric and semi-nonparametric copula models to assess the... -
Long‐run predictability tests are even worse than you thought (replication data)
We derive asymptotic results for the long-horizon ordinary least squares (OLS) estimator and corresponding -statistic for stationary autoregressive predictors. The... -
Forecasting low‐frequency macroeconomic events with high‐frequency data (repl...
High-frequency financial and economic indicators are usually time-aggregated before computing forecasts of macroeconomic events, such as recessions. We propose a mixed-frequency...
