Econometrics Journal

Papers
(The median citation count of Econometrics Journal is 1. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
Robustify and tighten the Lee bounds: a sample selection model under stochastic monotonicity and symmetry assumptions425
The maximally selected likelihood ratio test in random coefficient models189
Estimating nonparametric conditional frontiers and efficiencies: a new approach93
Causal models for longitudinal and panel data: a survey63
Causal inference and data fusion in econometrics38
Synthetic Control Inference for Staggered Adoption32
Vaccination policy and mortality from COVID-19 in the European Union31
Disentangling the effect of measures, variants, and vaccines on SARS-CoV-2 infections in England: a dynamic intensity model22
Comparing latent inequality with ordinal data14
A new method for generating random correlation matrices14
Royal Economic Society Annual Conference 2024 Special Issue on Macroeconomic Policy Analysis14
Identification and estimation of entry games under symmetry of unobservables10
A Finite Sample Augmented LR Test for Mediation9
Model selection for varying coefficient nonparametric transformation model8
IV estimation of spatial dynamic panels with interactive effects: large sample theory and an application on bank attitude towards risk8
Matching with semi-bandits7
The 2024 Denis Sargan Econometrics Prize7
The 2025 Denis Sargan Econometrics Prize6
Dynamic demand for differentiated products with fixed-effects unobserved heterogeneity6
Doubly robust identification for causal panel data models6
Choosing exogeneity assumptions in potential outcome models5
Instrumental variable quantile regression under random right censoring5
The 2022 Denis Sargan Econometrics Prize5
Common correlated effects estimation of nonlinear panel data models5
Estimation of high-dimensional vector autoregression via sparse precision matrix5
Simple approaches to nonlinear difference-in-differences with panel data5
A general diagnostic of the normal approximation in GMM models5
One-step smoothing splines instrumental regression4
Double machine learning for static panel models with fixed effects4
A two-sample size estimator for large datasets4
Explicit minimal representation of variance matrices, and its implication for dynamic volatility models4
Correction to: Causal inference and data fusion in econometrics4
Design-based identification with formula instruments: a review4
On robust inference in time-series regression4
A nonparametric test for cooperation in discrete games3
Identifying structural vector autoregressions via non-Gaussianity of potentially dependent shocks3
Time-varying shock transmission in non-Gaussian structural vector autoregressions3
Simple closed-form estimation of a binary latent variable model3
M*-BVAR: Bayesian Vector Autoregression with Macroeconomic Stars3
The 2023 Denis Sargan Econometrics Prize2
The vector error correction index model: representation, estimation and identification2
Regularized Generalized Covariance (RGCov) Estimator2
Estimating spot volatility under infinite variation jumps with dependent market microstructure noise2
Evaluating (weighted) dynamic treatment effects by double machine learning2
Ignoring measurement errors in social networks2
Comparing predictive ability in the presence of instability over a very short time2
A binary IV model for persuasion: profiling persuasion types among compliers2
Identifying the elasticity of substitution with biased technical change: a structural panel GMM estimator2
Asymptotic properties of endogeneity corrections using nonlinear transformations2
Inference for local projections1
Two-way fixed effects and differences-in-differences with heterogeneous treatment effects: a survey1
Correction to: Philip G. Wright, directed acyclic graphs, and instrumental variables1
The partially-matched-sample correction in pseudo panel minimum distance estimation1
Double machine learning-based programme evaluation under unconfoundedness1
Covariates hiding in the tails1
Combining counterfactual outcomes and ARIMA models for policy evaluation1
Policy evaluation with sufficient macro statistics: a primer1
Cross-fitted empirical likelihood on semiparametric models1
Nonparametric identification of random coefficients in aggregate demand models for differentiated products1
A first-stage representation for instrumental variables quantile regression1
Nonparametric estimation of conditional average treatment effects under high-dimensional confounding1
Royal Economic Society Annual Conference 2022 Special Issue on The New Difference-in-Differences1
Marginal effects for probit and tobit with endogeneity1
Effects of a duty on price and output with special reference to butter and flaxseed1
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