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Euromind-D: A Density Estimate of Monthly Gross Domestic Product for the Euro...
EuroMInd- D is a density estimate of monthly gross domestic product (GDP) constructed according to a bottom-up approach, pooling the density estimates of 11 GDP components, by... -
Inference on Self‐Exciting Jumps in Prices and Volatility Using High‐Frequenc...
Dynamic jumps in the price and volatility of an asset are modelled using a joint Hawkes process in conjunction with a bivariate jump diffusion. A state-space representation is... -
Income and Democracy: A Smooth Varying Coefficient Redux (replication data)
Acemoglu et al. (American Economic Review 2008; 98: 808-842) find no effect of income on democracy when controlling for fixed effects in a dynamic panel model. Work by... -
Likelihood-Based Inference and Prediction in Spatio-Temporal Panel Count Mode...
We develop a panel count model with a latent spatio-temporal heterogeneous state process for monthly severe crimes at the census-tract level in Pittsburgh, Pennsylvania. Our... -
The Millennium Peak in Club Convergence: A New Look at Distributional Changes...
This paper proposes an easy-to-use nonparametric indicator for club convergence, or convergence within clusters of countries: it measures whether the modes of the gross domestic... -
Empirical Bayesball Remixed: Empirical Bayes Methods for Longitudinal Data (r...
Empirical Bayes methods for Gaussian and binomial compound decision problems involving longitudinal data are considered. A recent convex optimization reformulation of the... -
Teacher Quality and Student Achievement: Evidence from a Sample of Dutch Twin...
This paper examines the causal link that runs from classroom quality to student achievement using data on twin pairs who entered the same school but were allocated to different... -
In Search of the Transmission Mechanism of Fiscal Policy in the Euro Area (re...
This paper applies the DSGE-VAR methodology to assess the size of fiscal multipliers in the data and the relative contributions of two transmission mechanisms of government... -
Weak and Strong Cross-Sectional Dependence: A Panel Data Analysis of Internat...
This paper provides an econometric examination of technological knowledge spillovers among countries by focusing on the issue of error cross-sectional dependence, particularly... -
Tests of Predictive Ability for Vector Autoregressions Used for Conditional F...
Many forecasts are conditional in nature. For example, a number of central banks routinely report forecasts conditional on particular paths of policy instruments. Even though... -
Spotting the Danger Zone: Forecasting Financial Crises With Classification Tr...
This paper introduces classification tree ensembles (CTEs) to the banking crisis forecasting literature. I show that CTEs substantially improve out-of-sample forecasting... -
Global Credit Risk: World, Country and Industry Factors (replication data)
We investigate the dynamic properties of systematic default risk conditions for firms in different countries, industries and rating groups. We use a high-dimensional nonlinear... -
Skewness Risk and Bond Prices (replication data)
This paper uses extreme value theory to study the implications of skewness risk for nominal loan contracts in a production economy. Productivity and inflation innovations are... -
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... -
Subjective Well‐Being and Income: A Re‐Examination of Satiation Using the Reg...
A methodological challenge in testing Easterlin's paradox, which states that increasing income fails to boost happiness beyond a satiation point, lies in the determination of... -
Estimation and Solution of Models with Expectations and Structural Changes (r...
In this paper, we develop solutions for linearized models with forward-looking expectations and structural changes under a variety of assumptions regarding agents' beliefs about... -
Penalized Quantile Regression with Semiparametric Correlated Effects: An Appl...
This paper proposes new ?1?penalized quantile regression estimators for panel data, which explicitly allows for individual heterogeneity associated with covariates. Existing... -
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... -
Differences Between Classical and Bayesian Estimates for Mixed Logit Models: ...
The mixed logit model is widely used in applied econometrics. Researchers typically rely on the free choice between the classical and Bayesian estimation approach. However,... -
Transitions at Different Moments in Time: A Spatial Probit Approach (replicat...
This paper adopts a spatial probit approach to explain interaction effects among cross-sectional units when the dependent variable takes the form of a binary response variable...
