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Covariate distribution balance via propensity scores (replication data)
This paper proposes new estimators for the propensity score that aim to maximize the covariate distribution balance among different treatment groups. Heuristically, our proposed... -
Matching theory and evidence on Covid‐19 using a stochastic network SIR model...
This paper develops an individual-based stochastic network SIR model for the empirical analysis of the Covid-19 pandemic. It derives moment conditions for the number of infected... -
Count Roy model with finite mixtures (replication data)
This paper develops the Finite Mixture Roy model for count variables and uses this semiparametric model to analyze the effect of supplemental Medigap private insurance on the... -
Do words hurt more than actions? The impact of trade tensions on financial ma...
We use machine learning techniques to quantify trade tensions between the United States and China. Our measure matches well-known events in the US-China trade dispute and is... -
Instrumental‐variable estimation of exponential‐regression models with two‐wa...
This paper introduces instrumental-variable estimators for exponential-regression models that feature two-way fixed effects. These techniques allow us to develop a... -
Trade openness and growth: A network‐based approach (replication data)
We propose a novel approach to the study of international trade based on a theory of country integration that embodies a broad systemic viewpoint on the relationship between... -
Identification of dynamic latent factor models of skill formation with transl...
In this paper, we highlight an important property of the translog production function for the identification of treatment effects in a model of latent skill formation. We show... -
Do rural banks matter that much? Burgess and Pande (2005) reconsidered (repli...
We replicate Burgess and Pande's (2005) analysis of the effect of India's state-led bank expansion on poverty. The authors instrument rural bank branch expansion by its trend... -
Macroeconomic forecasting in a multi‐country context (replication data)
In this paper, we propose a hierarchical shrinkage approach for multi-country VAR models. In implementation, we consider three different scale mixtures Normals priors and...
