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Measurement of factor strength: Theory and practice (replication data)
This paper proposes an estimator of factor strength and establishes its consistency and asymptotic distribution. The estimator is based on the number of statistically... -
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... -
Understanding women's wage growth using indirect inference with importance sa...
The goal of this work is to investigate the effects of time out of the labor market for childcare on women's lifecycle wage growth. We develop a dynamic lifecycle model of human... -
Bayesian estimation of the exact affine Stone index demand system: Replicatin...
This paper proposes a Bayesian approach to perform inference in the exact affine Stone index (EASI) demand system that was proposed by Lewbel and Pendakur (2009), while taking... -
Measurement error in earnings data: Replication of Meijer, Rohwedder, and Wan...
Meijer, Rohwedder, and Wansbeek (MRW, Journal of Business & Economic Statistics, 2012) developed methods for prediction of a single earnings figure per worker from mixture... -
Migration in China: To work or to wed? (replication data)
This paper develops a model encompassing both matching and hedonic models, studies its properties, and provides identification and estimation strategies. We bring the model to... -
When are instruments generated from geographic characteristics in bilateral r...
In their highly influential paper, Does Trade Cause Growth,? Frankel and Romer estimate a trade equation to predict bilateral trade shares, which are in turn aggregated to... -
Counterfactual analysis under partial identification using locally robust ref...
Structural models that admit multiple reduced forms, such as game-theoretic models with multiple equilibria, pose challenges in practice, especially when parameters are set... -
How far can we forecast? Statistical tests of the predictive content (replica...
We develop tests for the null hypothesis that forecasts become uninformative beyond some maximum forecast horizon h?. The forecast may result from a survey of forecasters or... -
Testing monotonicity of conditional treatment effects under regression discon...
Researchers are often interested in the relationship between treatment effects and observed individual heterogeneity. This paper proposes the first nonparametric monotonicity... -
Combining shrinkage and sparsity in conjugate vector autoregressive models (r...
Conjugate priors allow for fast inference in large dimensional vector autoregressive (VAR) models. But at the same time, they introduce the restriction that each equation... -
Time‐varying income elasticities of healthcare expenditure for the OECD and E...
We propose a panel data model for nonstationary variables with interactive fixed effects and coefficients that may vary over time and use it to examine time variation in the... -
Supply flexibility in the shale patch: Evidence from North Dakota (replicatio...
This paper provides new results to the literature, showing that output flexibility in oil production depends on the extraction technology. In particular, constructing a novel... -
Early child development and parents' labor supply (replication data)
The impact of children's early development status on parental labor market outcomes is not well established in the empirical literature. We combine an instrumental variable... -
Dynamic shrinkage in time‐varying parameter stochastic volatility in mean mod...
Successful forecasting models strike a balance between parsimony and flexibility. This is often achieved by employing suitable shrinkage priors that penalize model complexity... -
Cointegration and control: Assessing the impact of events using time series d...
Control groups can provide counterfactual evidence for assessing the impact of an event or policy change on a target variable. We argue that fitting a multivariate time series...
