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Nonlinearities in macroeconomic tail risk through the lens of big data quanti...
Modeling and predicting extreme movements in GDP is notoriously difficult and the selection of appropriate covariates and/or possible forms of nonlinearities are key in... -
The nexus of COVID-19 and climate change: A systematic literature review
Since the onset of the COVID-19 pandemic, many studies have appeared on how it will affect climate change and policy, and vice versa. In this study we systematically review the... -
Empirical evidence on the Euler equation for investment in the US
Is the typical specification of the Euler equation for investment employed in DSGE models consistent with aggregate macro data? The answer is yes using state-of-the-art... -
Binary endogenous treatment in stochastic frontier models with an application...
This package contains the data files and Matlab scripts to reproduce the empirical application and Monte-Carlo simulations in the paper "Binary endogenous treatment in... -
Sample selection in linear panel data models with heterogeneous coefficients ...
This archive contains the replication files for "Sample selection in linear panel data models with heterogeneous coefficients" by Alyssa Carlson and Riju Joshi, in Journal of... -
Forecasting GDP in Europe with textual data (replication data)
Replication files and data for "Forecasting GDP in Europe with textual data" by L. Barbaglia, S. Consoli, S. Manzan, in Journal of Applied Econometrics (2023). -
Identifying oil price shocks with global, developed, and emerging latent real...
This is the replication package for the empirical results in "Identifying oil price shocks with global, developed, and emerging latent real economy activity factors" by Antoine... -
Outlier robust inference in the instrumental variable model with applications...
Replication materials for "Outlier robust inference in the instrumental variable model with applications to causal effects" by J. Klooster and M. Zhelonkin, Journal of Applied... -
Grain Prices in Pre-industrial Germany, Fifteenth to Nineteenth Centuries
We present the largest homogenous dataset of grain prices for four major types of grain for pre-industrial Germany covering 70 cities with a total of 259 time series. This... -
Statistically identified structural VAR model with potentially skewed and fat...
These files include every bit of code in order to replicate the results in "Statistically identified structural VAR model with potentially skewed and fat-tailed errors". All the... -
Did marginal propensities to consume change with the housing boom and bust? (...
To improve estimates of household consumption behavior, we extend a widely-used model by allowing for dynamic consumption elasticities with respect to transitory income shocks.... -
Does paid parental leave affect children's schooling outcomes? Replicating Da...
Replication material for "Does paid parental leave affect children's schooling outcomes? Replicating Danzer and Lavy (2018)" by Claudia Troccoli, Journal of Applied... -
A maximum likelihood bunching estimator of the elasticity of taxable income (...
This paper develops a maximum likelihood (ML) bunching estimator of the elasticity of taxable income (ETI). Our structural approach provides a natural framework to... -
Peer desirability and academic achievement (replication data)
Replication materials for the paper “Peer desirability and academic achievement" by Adrian Mehic. It contains a readme file, one Excel document, and one Stata do file. -
US fiscal policy shocks: Proxy-SVAR overidentification via GMM (replication d...
Using external instruments one can recover the effects of individual shocks without fully identifying a VAR. We show that fully or almost fully instrumenting a VAR--that is,... -
Forecasting and stress testing with quantile vector autoregression (replicati...
Replication materials for "Forecasting and stress testing with quantile vector autoregression" by S. Chavleishvili and S. Manganelli, Journal of Applied Econometrics, 2023,... -
Addressing sample selection bias for machine learning methods (replication data)
Addressing sample selection bias for machine learning methods (replication data) Dylan Brewer and Alyssa Carlson Accepted at Journal of Applied Econometrics, 2023 Overview This... -
The efficacy of ability proxies for estimating the returns to schooling: A fa...
Replication data and programs for "The efficacy of ability proxies for estimating the returns to schooling: A factor model-based evaluation" -
A flexible stochastic production frontier model with panel data (replication ...
Replication materials for "A flexible stochastic production frontier model with panel data" by Taining Wang, Feng Yao, and Subal Kumbhakar, Journal of Applied Econometrics,... -
Penalized sieve estimation of zero-inefficiency stochastic frontiers (replica...
Stochastic frontier models for cross-sectional data typically assume that the one-sided distribution of firm-level inefficiency is continuous. However, it may be reasonable to...
