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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... -
Social interactions and social preferences in social networks (replication data)
We study social interactions when individuals hold altruistic preferences in social networks. Rich network features can be captured in the resulting best response function. The... -
Nonlinear effects of government spending shocks in the USA: Evidence from sta...
This paper uses state-level data to estimate the effect of government spending shocks during expansions and recessions. By employing a mixed-frequency framework, we are able to... -
Common correlated effect cross‐sectional dependence corrections for nonlinear...
This paper provides an approach to estimation and inference for nonlinear conditional mean panel data models, in the presence of cross-sectional dependence. We modify Pesaran's... -
Average treatment effects for stayers with correlated random coefficient mode...
Correlated random coefficient (CRC) models provide a useful framework for estimating average treatment effects (ATE) with panel data by accommodating heterogeneous treatment... -
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... -
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... -
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... -
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... -
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... -
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... -
Modeling the conditional distribution of financial returns with asymmetric ta...
This paper proposes a conditional density model that allows for differing left/right tail indices and time-varying volatility based on the dynamic conditional score (DCS)... -
Estimating and accounting for the output gap with large Bayesian vector autor...
We consider how to estimate the trend and cycle of a time series, such as real gross domestic product, given a large information set. Our approach makes use of the... -
Two are better than one: Volatility forecasting using multiplicative componen...
We examine the properties and forecast performance of multiplicative volatility specifications that belong to the class of generalized autoregressive conditional... -
Hidden group patterns in democracy developments: Bayesian inference for group...
We propose a nonparametric Bayesian approach to estimate time-varying grouped patterns of heterogeneity in linear panel data models. Unlike the classical approach in Bonhomme... -
Two applications of wild bootstrap methods to improve inference in cluster‐IV...
Microeconomic data often have within-cluster dependence, which affects standard error estimation and inference. When the number of clusters is small, asymptotic tests can be... -
Mostly harmless simulations? Using Monte Carlo studies for estimator selectio...
We consider two recent suggestions for how to perform an empirically motivated Monte Carlo study to help select a treatment effect estimator under unconfoundedness. We show... -
Controlling for ability using test scores (replication data)
This paper proposes a semiparametric method to control for ability using standardized test scores, or other item response assessments, in a regression model. The proposed method... -
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...