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Sibling spillover effects in school achievement (replication data)
This paper provides empirical evidence on sibling spillover effects in school achievement using administrative data on 230,000 siblings in England. We extend previous strategies... -
Estimation of linear dynamic panel data models with time‐invariant regressors...
We present a sequential approach to estimating a dynamic Hausman-Taylor model. We first estimate the coefficients of the time-varying regressors and subsequently regress the... -
A robust approach to estimating production functions: Replication of the ACF ...
We study Ackerberg, Caves, and Frazer's (Econometrica, 2015, 83, 2411-2451; hereafter ACF) production function estimation method using Monte Carlo simulations. First, we... -
Panel parametric, semiparametric, and nonparametric construction of counterfa...
We consider panel parametric, semiparametric and nonparametric methods of constructing counterfactuals. We show through extensive simulations that no method is able to dominate... -
Towards causal estimates of children's time allocation on skill development (...
In this paper we examine how children's time allocation affects their accumulation of cognitive skill. Children's time allocation is endogenous in a model of skill production... -
Catching up to girls: Understanding the gender imbalance in educational attai...
We estimate a sequential model of schooling to assess the major contributing factors to the large gender imbalance in educational attainment within racial groups. First, we find... -
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... -
Bootstrap inference for impulse response functions in factor‐augmented vector...
In this study, we consider residual-based bootstrap methods to construct the confidence interval for structural impulse response functions in factor-augmented vector... -
The cyclicality of R&D investment revisited (replication data)
In Fabrizio and Tsolmon (Review of Economics and Statistics, 2014, 96(4), 662-675) and Barlevy (American Economic Review, 2007, 97(4), 1131-1164) it was concluded that R&D... -
An empirical investigation of direct and iterated multistep conditional forec...
When constructing unconditional point forecasts, both direct and iterated multistep (DMS and IMS) approaches are common. However, in the context of producing conditional... -
Steady‐state modeling and macroeconomic forecasting quality (replication data)
Vector autoregressions (VARs) with informative steady-state priors are standard forecasting tools in empirical macroeconomics. This study proposes (i) an adaptive hierarchical... -
CCE estimation of factor‐augmented regression models with more factors than o...
This paper considers estimation of factor-augmented panel data regression models. One of the most popular approaches towards this end is the common correlated effects (CCE)... -
Structural VARs and noninvertible macroeconomic models (replication data)
We resume the line of research pioneered by C. A. Sims and Zha (Macroeconomic Dynamics, 2006, 10, 231-272) and make two novel contributions. First, we provide a formal treatment...
