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Analysis of upstream, downstream and common firm shocks using a large factor-...
We provide all necessary code files to create networks using two different approaches as explained in the paper, as well as codes to compare and display the networks. Because of... -
Source-code and datasets for: Performance-based pay and limited information a...
Content The provided content consists of two parts: First, the code of the agent-based simulation model (in the folder "Model") and, second, the data that is generated using the... -
Bayesian Collapsed Gibbs Sampling for a Stochastic Volatility Model with a Di...
This dataset has no description
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Bayesian estimation of multivariate panel probits with higher‐order network i...
This paper proposes a Bayesian estimation framework for panel data sets with binary dependent variables where a large number of cross-sectional units are observed over a short... -
Recurrent conditional heteroskedasticity (replication data)
We propose a new class of financial volatility models, called the REcurrent Conditional Heteroskedastic (RECH) models, to improve both in-sample analysis and out-of-sample... -
(Un)expected monetary policy shocks and term premia (replication data)
The term structure of interest rates is crucial for the transmission of monetary policy to financial markets and the macroeconomy. Disentangling the impact of monetary policy on... -
Reduced‐form factor augmented VAR—Exploiting sparsity to include meaningful f...
Induced sparsity in the factor loading matrix identifies the factor basis, while rotational identification is obtained ex post by clustering methods closely related to machine... -
Multivariate fractional integration tests allowing for conditional heterosked...
We introduce a new joint test for the order of fractional integration of a multivariate fractionally integrated vector autoregressive (FIVAR) time series based on applying the... -
Efficient minimum distance estimation of Pareto exponent from top income shar...
We propose an efficient estimation method for the income Pareto exponent when only certain top income shares are observable. Our estimator is based on the asymptotic theory of... -
Comparing predictive accuracy in small samples using fixed‐smoothing asymptot...
We consider fixed-smoothing asymptotics for the Diebold and Mariano (Journal of Business and Economic Statistics, 1995, 13(3), 253-263) test of predictive accuracy. We show that... -
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... -
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... -
Understanding the economic determinants of the severity of operational losses...
We investigate a novel database of 10,217 extreme operational losses from the Italian bank UniCredit. Our goal is to shed light on the dependence between the severity... -
Dynamic factor model with infinite‐dimensional factor space: Forecasting (rep...
The paper compares the pseudo real-time forecasting performance of three dynamic factor models: (i) the standard principal component model introduced by Stock and Watson in... -
Measuring crisis risk using conditional copulas: An empirical analysis of the...
The shipping crisis starting in 2008 was characterized by sharply decreasing freight rates and sharply increasing financing costs. We analyze the dependence structure of these... -
Do contractionary monetary policy shocks expand shadow banking? (replication ...
Using VAR models for the USA, we find that a contractionary monetary policy shock has a persistent negative impact on the level of commercial bank assets, but increases the... -
Out-of-Sample Return Predictability: A Quantile Combination Approach (replica...
This paper develops a novel forecasting method that minimizes the effects of weak predictors and estimation errors on the accuracy of equity premium forecasts. The proposed... -
Using OLS to Estimate and Test for Structural Changes in Models with Endogeno...
We consider the problem of estimating and testing for multiple breaks in a single-equation framework with regressors that are endogenous, i.e. correlated with the errors. We... -
HOW BELIEFS ABOUT HIV STATUS AFFECT RISKY BEHAVIORS: EVIDENCE FROM MALAWI (re...
This paper examines how beliefs about own HIV status affect decisions to engage in risky sexual behavior, as measured by having extramarital sex and/or multiple sex partners.... -
MULTIPLE TESTING AND HETEROGENEOUS TREATMENT EFFECTS: RE-EVALUATING THE EFFEC...
The effect of a program or treatment may vary according to observed characteristics. In such a setting, it may not only be of interest to determine whether the program or...
