Journal of Applied Econometrics

Papers
(The TQCC of Journal of Applied Econometrics is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-03-01 to 2025-03-01.)
ArticleCitations
Standard Errors for Difference‐in‐Difference Regression110
Tracking Economic Activity With Alternative High‐Frequency Data52
Estimating household consumption insurance51
General Bayesian time‐varying parameter vector autoregressions for modeling government bond yields50
A regularization approach to common correlated effects estimation41
A high‐dimensional multinomial logit model38
How does the dramatic rise of nonresponse in the Current Population Survey impact labor market indicators?32
29
The economics of state fragmentation: Assessing the economic impact of secession29
Exploiting News Analytics for Volatility Forecasting28
27
Featured Cover25
Issue Information23
Bootstrap inference and diagnostics in state space models: With applications to dynamic macro models21
Expecting the unexpected: Stressed scenarios for economic growth20
The multifaceted impact of US trade policy on financial markets18
Issue Information18
Disease and development—The predicted mortality instrument revisited16
Do rural banks matter that much? Burgess and Pande (2005) reconsidered16
Forecast uncertainty, disagreement, and the linear pool16
A direct approach to Kilian–Lewis style counterfactual analysis in vector autoregression models15
Bayesian optimization of hyperparameters from noisy marginal likelihood estimates14
The impact of HIV/AIDS on human capital investment in Sub‐Saharan Africa: New evidence13
The Federal Reserve's output gap: The unreliability of real‐time reliability tests13
Understanding trend inflation through the lens of the goods and services sectors13
Issue Information13
Fiscal targets. A guide to forecasters?12
Labour supply, service intensity, and contracts: Theory and evidence on physicians11
Monetary policy and exchange rate anomalies in set‐identified SVARs: Revisited11
Subspace shrinkage in conjugate Bayesian vector autoregressions10
Re‐examining the relationship between patience, risk‐taking, and human capital investment across countries*9
9
The bilateral trade effects of announcement shocks: Brexit as a natural field experiment9
Narrow and wide replication of Chalfin and McCrary (REStat, 2018)9
Bayesian estimation of the exact affine Stone index demand system: Replicating the Lewbel and Pendakur (2009) results8
Identifying the effects of sanctions on the Iranian economy using newspaper coverage8
Ranking intersecting distribution functions8
Are there no wage returns to compulsory schooling in Germany? A reassessment8
Correction to “Exogenous uncertainty and the identification of structural vector autoregressions with external instruments”7
7
Correction7
Did earnings mobility change after minimum wage introduction? Evidence from parametric and semi‐nonparametric methods in Germany7
Identifying structural VARs from sparse narrative instruments: Dynamic effects of US macroprudential policies7
Encompassing measures of international consumption risk sharing and their link with trade and financial globalization6
Addressing sample selection bias for machine learning methods6
A flexible stochastic production frontier model with panel data6
Individual consumption in collective households: Identification using repeated observations with an application to PROGRESA6
Early‐life famine exposure, hunger recall, and later‐life health6
Part‐time subsidies and maternal reemployment: Evidence from a difference‐in‐differences analysis5
5
The US structural transformation and regional convergence: Racial heterogeneity5
How to estimate a vector autoregression after March 20205
Approximating grouped fixed effects estimation via fuzzy clustering regression5
Quantiles of the gain distribution of an early childhood intervention5
The government spending multiplier at the zero lower bound: International evidence from historical data5
A Reassessment of Likelihood Approximation by Integration on Sparse Grids4
Dynamic evaluation of job search assistance4
4
A maximum likelihood bunching estimator of the elasticity of taxable income4
4
Model Averaging and Double Machine Learning4
Issue Information4
Supply flexibility in the shale patch: Evidence from North Dakota4
Does model complexity add value to asset allocation? Evidence from machine learning forecasting models4
Featured Cover4
Revisiting Sweden's comprehensive school reform: Effects on education and earnings4
Fast and reliable jackknife and bootstrap methods for cluster‐robust inference4
Forward guidance and expectation formation: A narrative approach4
Inflation expectations and nonlinearities in the Phillips curve4
US Monetary Policy and Indeterminacy4
Issue Information4
Understanding women's wage growth using indirect inference with importance sampling4
Measuring real activity using a weekly economic index4
Dynamic treatment effects of job training4
Common factors of commodity prices4
Inferring financial bubbles from option data3
Partial identification and inference in duration models with endogenous censoring3
Recurrent conditional heteroskedasticity3
Regression with an imputed dependent variable3
The boosted Hodrick‐Prescott filter is more general than you might think3
Gains from trade: Demand, supply, and idiosyncratic shocks3
Information gains from using short‐dated options for measuring and forecasting volatility3
Short T dynamic panel data models with individual, time and interactive effects3
Penalized sieve estimation of zero‐inefficiency stochastic frontiers3
Quantifying investor narratives and their role during COVID‐193
Sudden stop: Supply and demand shocks in the German natural gas market3
Migration in China: To work or to wed?3
Medical marijuana legalization and parenting behaviors: An analysis of the time use of parents3
Constructing density forecasts from quantile regressions: Multimodality in macrofinancial dynamics3
Covariate distribution balance via propensity scores3
Nowcasting tail risk to economic activity at a weekly frequency3
3
The benefits of forecasting inflation with machine learning: New evidence3
How is machine learning useful for macroeconomic forecasting?3
Structural breaks and GARCH models of exchange rate volatility: Re‐examination and extension3
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