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 2021-02-01 to 2025-02-01.)
ArticleCitations
Standard Errors for Difference‐in‐Difference Regression110
Estimating household consumption insurance52
General Bayesian time‐varying parameter vector autoregressions for modeling government bond yields51
A regularization approach to common correlated effects estimation50
A high‐dimensional multinomial logit model41
How does the dramatic rise of nonresponse in the Current Population Survey impact labor market indicators?38
The economics of state fragmentation: Assessing the economic impact of secession32
COUNTERFACTUAL ANALYSIS UNDER PARTIAL IDENTIFICATION USING LOCALLY ROBUST REFINEMENT29
29
Did earnings mobility change after minimum wage introduction? Evidence from parametric and semi‐nonparametric methods in Germany28
27
Testing monotonicity of conditional treatment effects under regression discontinuity designs25
Featured Cover23
Issue Information21
Bootstrap inference and diagnostics in state space models: With applications to dynamic macro models20
Disease and development—The predicted mortality instrument revisited18
Issue Information18
Understanding trend inflation through the lens of the goods and services sectors16
Bayesian optimization of hyperparameters from noisy marginal likelihood estimates16
The impact of HIV/AIDS on human capital investment in Sub‐Saharan Africa: New evidence16
Issue Information15
The Federal Reserve's output gap: The unreliability of real‐time reliability tests14
Monetary policy and exchange rate anomalies in set‐identified SVARs: Revisited13
Fiscal targets. A guide to forecasters?13
Labour supply, service intensity, and contracts: Theory and evidence on physicians13
Exploiting News Analytics for Volatility Forecasting13
Subspace shrinkage in conjugate Bayesian vector autoregressions12
Narrow and wide replication of Chalfin and McCrary (REStat, 2018)11
Forecast uncertainty, disagreement, and the linear pool11
Do rural banks matter that much? Burgess and Pande (2005) reconsidered10
9
The bilateral trade effects of announcement shocks: Brexit as a natural field experiment9
A direct approach to Kilian–Lewis style counterfactual analysis in vector autoregression models9
Re‐examining the relationship between patience, risk‐taking, and human capital investment across countries*9
Identifying the effects of sanctions on the Iranian economy using newspaper coverage8
The multifaceted impact of US trade policy on financial markets8
Are there no wage returns to compulsory schooling in Germany? A reassessment8
Expecting the unexpected: Stressed scenarios for economic growth8
Tracking Economic Activity With Alternative High‐Frequency Data7
Ranking intersecting distribution functions7
Correction7
Correction to “Exogenous uncertainty and the identification of structural vector autoregressions with external instruments”7
Bayesian estimation of the exact affine Stone index demand system: Replicating the Lewbel and Pendakur (2009) results7
Addressing sample selection bias for machine learning methods6
A maximum likelihood bunching estimator of the elasticity of taxable income6
6
Understanding women's wage growth using indirect inference with importance sampling6
How is machine learning useful for macroeconomic forecasting?6
Short T dynamic panel data models with individual, time and interactive effects5
Regression with an imputed dependent variable5
Approximating grouped fixed effects estimation via fuzzy clustering regression5
5
Early‐life famine exposure, hunger recall, and later‐life health5
A flexible stochastic production frontier model with panel data5
Gains from trade: Demand, supply, and idiosyncratic shocks5
Featured Cover4
Issue Information4
Identifying structural VARs from sparse narrative instruments: Dynamic effects of US macroprudential policies4
Quantifying investor narratives and their role during COVID‐194
Individual consumption in collective households: Identification using repeated observations with an application to PROGRESA4
Quantiles of the gain distribution of an early childhood intervention4
Part‐time subsidies and maternal reemployment: Evidence from a difference‐in‐differences analysis4
4
The government spending multiplier at the zero lower bound: International evidence from historical data4
Forward guidance and expectation formation: A narrative approach4
Dynamic treatment effects of job training4
Issue Information4
US Monetary Policy and Indeterminacy4
The US structural transformation and regional convergence: Racial heterogeneity4
Revisiting Sweden's comprehensive school reform: Effects on education and earnings4
Constructing density forecasts from quantile regressions: Multimodality in macrofinancial dynamics4
4
Model Averaging and Double Machine Learning4
Dynamic evaluation of job search assistance4
A Reassessment of Likelihood Approximation by Integration on Sparse Grids4
Migration in China: To work or to wed?3
Inferring financial bubbles from option data3
Partial identification and inference in duration models with endogenous censoring3
The boosted Hodrick‐Prescott filter is more general than you might think3
Covariate distribution balance via propensity scores3
Measuring real activity using a weekly economic index3
Inflation expectations and nonlinearities in the Phillips curve3
How to estimate a vector autoregression after March 20203
Supply flexibility in the shale patch: Evidence from North Dakota3
Sudden stop: Supply and demand shocks in the German natural gas market3
Medical marijuana legalization and parenting behaviors: An analysis of the time use of parents3
Multiple Structural Breaks in Interactive Effects Panel Data Models3
Information gains from using short‐dated options for measuring and forecasting volatility3
3
Encompassing measures of international consumption risk sharing and their link with trade and financial globalization3
Common factors of commodity prices3
Penalized sieve estimation of zero‐inefficiency stochastic frontiers3
The benefits of forecasting inflation with machine learning: New evidence3
Structural breaks and GARCH models of exchange rate volatility: Re‐examination and extension3
Does model complexity add value to asset allocation? Evidence from machine learning forecasting models3
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