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Regression discontinuity design with multivalued treatments (replication data)
This code replicates all figures and tables in the paper "Regression discontinuity design with multivalued treatments", by Carolina Caetano, Gregorio Caetano, and Juan Carlos... -
Nowcasting from cross-sectionally dependent panels (replication data)
This archive contains the replication files. All codes and data are provided. There are three folders corresponding to the simulation study and two empirical applications of the... -
The Federal Reserve’s output gap: The unreliability of real-time reliability ...
Data Set and Online Appendix for: Josefine Quast and Maik H. Wolters, "The Federal Reserve’s Output Gap: The Unreliability of Real-Time Reliability Tests", Journal of Applied... -
When can we ignore measurement error in the running variable? (replication data)
In many applications of regression discontinuity designs, the running variable used to assign treatment is only observed with error. We show that, provided the observed running... -
Censored density forecasts: Production and evaluation (replication data)
This paper develops methods for the production and evaluation of censored density forecasts. The focus is on censored density forecasts that quantify forecast risks in a middle... -
Good Bye Lenin Revisited: East-West Preferences Three Decades After German Re...
In this paper, we document that living under Communism vs. Capitalism has lasting effects on preferences for a strong government. Relying on the natural experiment of German... -
Revisiting the effect of growing up in a recession on attitudes towards redis...
Giuliano and Spilimbergo (2014) show that individuals who experienced a recession when young are more likely to favor redistribution in the short and long run. We revisit their... -
On event studies and distributed-lags in two-way fixed effects models (replic...
This archive contains the replication files for the paper “On event studies and distributed-lags in two-way fixed effects models: Identification, equivalence, and... -
Using arbitrary precision arithmetic to sharpen identification analysis for D...
Replication materials (code and final results) for "Using arbitrary precision arithmetic to sharpen identification analysis for DSGE models", published in Journal of Applied... -
Inflation Expectations and Nonlinearities in the Phillips Curve (replication ...
The files submitted are the codes and data for the Journal of Applied Econometrics article “Inflation Expectations and Nonlinearities in the Phillips Curve” by Alexander Doser,... -
Fiscal targets: A guide to forecasters? (replication data)
We formulate and estimate empirical models for a selection of EU countries (Germany, France, Italy, Spain, Portugal and Ireland) to show that ex-ante government (consumption)... -
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. -
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. -
Identifying and Interpreting the Factors in Factor models via Sparsity: Diffe...
This dataset has no description
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New Evidence on the Importance of Instruction Time for Student Achievement on...
This dataset has no description
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Raiders of the Lost High‐Frequency Forecasts: New Data and Evidence on the Ef...
We introduce a new dataset of real gross domestic product (GDP) growth and core personal consumption expenditures (PCE) inflation forecasts produced by the staff of the Board of... -
Reassessing the dependence between economic growth and financial conditions s...
Adrian, Boyarchenko and Giannone ((2019), ABG) adapt quantile regression (QR) methods to examine the relationship between US economic growth and financial conditions. We confirm... -
The role of observed and unobserved heterogeneity in the duration of unemploy...
This paper studies the degree to which observable and unobservable worker characteristics account for the variation in the aggregate duration of unemployment. I model the... -
Matching theory and evidence on Covid‐19 using a stochastic network SIR model...
This paper develops an individual-based stochastic network SIR model for the empirical analysis of the Covid-19 pandemic. It derives moment conditions for the number of infected... -
Extremal connectedness of hedge funds (replication data)
We propose a dynamic measure of extremal connectedness tailored to the short reporting period and unbalanced nature of hedge funds data. Using multivariate extreme value...
