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Differencing versus nondifferencing in factor‐based forecasting (replication ...
This paper studies performance of factor-based forecasts using differenced and nondifferenced data. Approximate variances of forecasting errors from the two forecasts are... -
Composite likelihood methods for large Bayesian VARs with stochastic volatili...
Adding multivariate stochastic volatility of a flexible form to large vector autoregressions (VARs) involving over 100 variables has proved challenging owing to computational... -
The role of startups for local labor markets (replication data)
There are substantial differences in startup activity across US local labor markets. We study the causes and consequences of these differences. Startup productivity shocks are... -
Change point estimation in panel data with time‐varying individual effects (r...
Existing panel data methods remove unobserved individual effects before change point estimation through data transformations such as first-differencing. In this paper, we show... -
Forecasting stock returns with model uncertainty and parameter instability (r...
We compare several representative sophisticated model averaging and variable selection techniques of forecasting stock returns. When estimated traditionally, our results confirm... -
Predicting interest rates using shrinkage methods, real‐time diffusion indexe...
In the context of predicting the term structure of interest rates, we explore the marginal predictive content of real-time macroeconomic diffusion indexes extracted from a data... -
Comparing econometric methods to empirically evaluate activation programs for...
We test whether different identification strategies give similar results when evaluating activation programs. Budgetary problems at the Dutch unemployment insurance (UI)... -
Multidimensional skills and the returns to schooling: Evidence from an intera...
This paper presents new evidence on returns to schooling based on an interactive fixed-effects framework that allows for multiple unobserved skills with potentially time-varying... -
Is deflation costly after all? The perils of erroneous historical classificat...
I estimate average economic activity during periods of inflation and deflation while accounting for measurement errors in 19th century prices. These measurement errors lead to... -
Endogeneity and non‐response bias in treatment evaluation – nonparametric ide...
This paper proposes a nonparametric method for evaluating treatment effects in the presence of both treatment endogeneity and attrition/non-response bias, based on two... -
Family planning in a life‐cycle model with income risk (replication data)
Several US states have recently restricted the access to abortions. We study fertility intentions and how family planning and abortions are used as mechanisms to control... -
A distributional synthetic control method for policy evaluation (replication ...
We extend the synthetic control method to evaluate the distributional effects of policy intervention in the possible presence of poor matching. The counterfactuals (or... -
Model simplification and variable selection: A replication of the UK inflatio...
In this paper, we revisit the well-known UK inflation model by Hendry (Journal of Applied Econometrics, 2001, 16, 255-275. We replicate the results in a narrow sense using the... -
Estimation of firm‐level productivity in the presence of exports: Evidence fr...
Motivated by the long-standing interest of economists in understanding the nexus between firm productivity and export behavior, this paper develops a novel structural framework... -
Prediction regions for interval‐valued time series (replication data)
We approximate probabilistic forecasts for interval-valued time series by offering alternative approaches. After fitting a possibly non-Gaussian bivariate vector autoregression... -
Complementary Bayesian method of moments strategies (replication data)
Methodology is proposed that addresses two problems that arise in application of the generalized method of moments representation of the likelihood in Bayesian inference: (1) a... -
Order‐invariant tests for proper calibration of multivariate density forecast...
Established tests for proper calibration of multivariate density forecasts based on Rosenblatt probability integral transforms can be manipulated by changing the order 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... -
Exchange rate predictability and dynamic Bayesian learning (replication data)
We consider how an investor in the foreign exchange market can exploit predictive information by means of flexible Bayesian inference. Using a variety of vector autoregressive... -
Estimation of average treatment effects using panel data when treatment effec...
This paper proposes a new panel data approach to identify and estimate the time-varying average treatment effect (ATE). The approach allows for treatment effect heterogeneity...
