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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... -
Mixed causal–noncausal autoregressions with exogenous regressors (replication...
Mixed causal-noncausal autoregressive (MAR) models have been proposed to model time series exhibiting nonlinear dynamics. Possible exogenous regressors are typically substituted... -
Common correlated effects estimation of heterogeneous dynamic panel quantile ...
This paper proposes a quantile regression estimator for a heterogeneous panel model with lagged dependent variables and interactive effects. The paper adopts the Common... -
Comovements in the real activity of developed and emerging economies: A test ...
Although globalization has shaped the world economy in recent decades, emerging economies have experienced impressive growth compared to developed economies, suggesting specific... -
Assessing international commonality in macroeconomic uncertainty and its effe...
This paper uses a large vector autoregression to measure international macroeconomic uncertainty and its effects on major economies. We provide evidence of significant... -
Systemic risk and bank business models (replication data)
In this paper, we decompose banks' systemic risk into two dimensions: the risk of a bank (?bank tail risk?) and the link of the bank to the system in financial distress... -
Measuring the natural rate of interest: A note on transitory shocks (replicat...
We present evidence that the natural rate of interest is buffeted by both permanent and transitory shocks. We establish this result by estimating a benchmark model with Bayesian... -
Real‐time forecast combinations for the oil price (replication data)
Baumeister and Kilian (Journal of Business and Economic Statistics, 2015, 33(3), 338-351) combine forecasts from six empirical models to predict real oil prices. In this paper,... -
Dynamic specification tests for dynamic factor models (replication data)
We derive computationally simple expressions for score tests of misspecification in parametric dynamic factor models using frequency domain techniques. We interpret those... -
Actual and counterfactual growth incidence and delta Lorenz curves: Estimatio...
Different economic growth episodes display very different distributional characteristics, both across countries and over time. Growth is sometimes accompanied by rising and... -
Modeling the effects of grade retention in high school (replication data)
A dynamic discrete-choice model is set up to estimate the effects of grade retention in high school, both in the short run (end-of-year evaluation) and in the long run (drop-out... -
NETS: Network estimation for time series (replication data)
We model a large panel of time series as a vector autoregression where the autoregressive matrices and the inverse covariance matrix of the system innovations are assumed to be... -
Uncertainty across volatility regimes (replication data)
We propose a nonrecursive identification scheme for uncertainty shocks that exploits breaks in the volatility of macroeconomic variables and is novel in the literature on... -
Measuring the diffusion of housing prices across space and over time: Replica...
Brady (Journal of Applied Econometrics, 2011, 26(2), 213-231) studies how fast and how long a change in housing prices in one region affects its neighbors by estimating the... -
Self-employment among women: Do children matter more than we previously thoug...
This paper presents an estimation approach that addresses the problems of sample selection and endogeneity of fertility decisions when estimating the effect of young children on... -
Policy uncertainty and aggregate fluctuations (replication data)
This paper estimates the impact on the US economy of four types of uncertainty about (i) government spending, (ii) tax changes, (iii) public debt, and (iv) monetary policy.... -
Time series copulas for heteroskedastic data (replication data)
We propose parametric copulas that capture serial dependence in stationary heteroskedastic time series. We suggest copulas for first-order Markov series, and then extend them to... -
Improving Markov switching models using realized variance (replication data)
This paper proposes a class of models that jointly model returns and ex post variance measures under a Markov switching framework. Both univariate and multivariate return... -
Increasing the credibility of the twin birth instrument (replication data)
Twin births are an important instrument for the endogenous fertility decision. However, twin births are not exogenous either as dizygotic twinning is correlated with maternal... -
Identification issues in the public/private wage gap, with an application to ...
This paper reviews some of the standard assumptions that are imposed in order to estimate the average public/private wage gap and that are mainly related to the possible...
