Journal of Econometrics

Papers
(The median citation count of Journal of 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 2022-01-01 to 2026-01-01.)
ArticleCitations
Bond risk premiums at the zero lower bound1187
Shrinkage estimators for periodic autoregressions512
Individual welfare analysis: Random quasilinear utility, independence, and confidence bounds268
Neural Conformal Inference for jump diffusion processes212
Inference in cluster randomized trials with matched pairs204
A computational approach to identification of treatment effects for policy evaluation122
On changepoint detection in functional data using empirical energy distance98
Local linearization based subvector inference in moment inequality models84
Empirical risk minimization for time series: Nonparametric performance bounds for prediction80
Simple subvector inference on sharp identified set in affine models79
Efficiency bounds for moment condition models with mixed identification strength79
Time-Varying Parameters in Econometrics: The editor’s foreword65
Analyzing cross-validation for forecasting with structural instability65
Nonparametric comparison of epidemic time trends: The case of COVID-1963
Volatility prediction comparison via robust volatility proxies: An empirical deviation perspective60
Inference on covariance-mean regression60
Efficient closed-form estimation of large spatial autoregressions56
Uniform predictive inference for factor models with instrumental and idiosyncratic betas56
Locally robust inference for non-Gaussian linear simultaneous equations models55
Semiparametric modeling of multiple quantiles54
Bootstrapping out-of-sample predictability tests with real-time data53
A multivariate realized GARCH model52
Identification of semiparametric model coefficients, with an application to collective households46
Machine learning who to nudge: Causal vs predictive targeting in a field experiment on student financial aid renewal43
On the origins of Aigner, Lovell and Schmidt, 1977, and the development of stochastic frontier analysis43
Parametric estimation of long memory in factor models42
Quasi-Bayesian estimation and inference with control functions40
Causal inference in network experiments: Regression-based analysis and design-based properties40
Testing for jumps in a discretely observed price process with endogenous sampling times38
Long-term volatility shapes the stock market’s sensitivity to news37
A discrete-time hedging framework with multiple factors and fat tails: On what matters36
From LATE to ATE: A Bayesian approach34
Shrinkage methods for treatment choice34
Bernstein-type inequalities and nonparametric estimation under near-epoch dependence34
Quantile prediction with factor-augmented regression: Structural instability and model uncertainty33
Limit theory and inference in non-cointegrated functional coefficient regression32
You are what your parents expect: Height and local reference points32
Monitoring multi-country macroeconomic risk: A quantile factor-augmented vector autoregressive (QFAVAR) approach32
Identifying causal effects in experiments with spillovers and non-compliance31
Feature-splitting algorithms for ultrahigh dimensional quantile regression31
Residual-augmented IVX predictive regression30
Stochastic properties of nonlinear locally-nonstationary filters30
Editorial Board30
Latent utility and permutation invariance: A revealed preference approach29
High dimensional regression coefficient test with high frequency data29
Nonseparable sample selection models with censored selection rules29
Bregman model averaging for forecast combination29
Higher-order refinements of small bandwidth asymptotics for density-weighted average derivative estimators28
Initial conditions and Blundell–Bond estimators28
Measuring tail risk28
Robust likelihood estimation of dynamic panel data models28
Identification and estimation of a search model with heterogeneous consumers and firms27
GLS under monotone heteroskedasticity27
Semiparametrically optimal cointegration test26
Corrigendum to “Local mispricing and microstructural noise: A parametric perspective” [J. Econometrics 230 (2022) 510–534]26
Testing identification conditions of LATE in fuzzy regression discontinuity designs26
Joint inference based on Stein-type averaging estimators in the linear regression model26
Editorial Board25
Editorial Board24
Jump detection in high-frequency order prices24
Decomposing informed trading in equity options24
Satellites turn “concrete”: Tracking cement with satellite data and neural networks23
Cross-sectional dependence in idiosyncratic volatility23
Incentive-driven inattention23
High-dimensional conditionally Gaussian state space models with missing data23
Semiparametric model averaging prediction for dichotomous response22
SVARs with occasionally-binding constraints22
A large confirmatory dynamic factor model for stock market returns in different time zones22
Corrigendum to “Robust mutual fund selection with false discovery rate control” [Journal of Econometrics 252 (2025) 106121]22
Estimating high dimensional monotone index models by iterative convex optimization21
Editorial Board21
Nonparametric Bayes subject to overidentified moment conditions21
Weak identification with bounds in a class of minimum distance models21
Distribution regression with censored selection21
Policy evaluation during a pandemic21
Hypothesis testing on high dimensional quantile regression21
Editorial Board20
Testing unconditional and conditional independence via mutual information20
Relaxing conditional independence in an endogenous binary response model20
Inference in models with partially identified control functions20
Identification of time-varying transformation models with fixed effects, with an application to unobserved heterogeneity in resource shares19
Editorial Board19
CRPS learning19
Robust mutual fund selection with false discovery rate control19
Functional time series approach to analyzing asset returns co-movements19
Inequality and the zero lower bound19
Panel data models with time-varying latent group structures18
Inference on time series nonparametric conditional moment restrictions using nonlinear sieves18
Identification of dynamic binary response models18
A Correlated Random Coefficient panel model with time-varying endogeneity18
Evaluating forecast performance with state dependence18
Consistent causal inference for high-dimensional time series17
Infinite Markov pooling of predictive distributions17
Likelihood approach to dynamic panel models with interactive effects17
Editorial Board17
Modeling and forecasting realized volatility with the fractional Ornstein–Uhlenbeck process17
Estimation of continuous-time linear DSGE models from discrete-time measurements16
Predictive quantile regression with mixed roots and increasing dimensions: The ALQR approach16
Prices, profits, proxies, and production16
A comparative analysis of two-way fixed effects estimators in staggered treatment designs16
Logical differencing in dyadic network formation models with nontransferable utilities16
Incentives, search engines, and the elicitation of subjective beliefs: Evidence from representative online survey experiments16
Bootstrap specification tests for dynamic conditional distribution models16
Editorial Board16
Multiple treatments with strategic substitutes15
Bayesian Methods in Economics and Finance: Editor’s Introduction15
Assumption-lean falsification tests of rate double-robustness of double-machine-learning estimators15
Editorial for special issue in honor of Francis X. Diebold15
Introduction to the Special Issue: Models of linked employer–employee data: Twenty years after “High Wage Workers and High Wage Firms”15
Penalized time-varying model averaging15
Debiased machine learning of set-identified linear models15
Macroeconomic forecasting and variable ordering in multivariate stochastic volatility models14
Parental beliefs about returns to child health investments14
Reprint: Hypothesis testing on high dimensional quantile regression14
On the performance of the Neyman Allocation with small pilots14
Adaptive Bayesian estimation of conditional discrete-continuous distributions with an application to stock market trading activity14
Regression-adjusted estimation of quantile treatment effects under covariate-adaptive randomizations14
Predictive ability tests with possibly overlapping models14
Bayesian estimation of cluster covariance matrices of unknown form14
State-dependent local projections14
On testing for spatial or social network dependence in panel data allowing for network variability14
Common volatility shocks driven by the global carbon transition14
The robust F-statistic as a test for weak instruments14
My experience of working for the JE-1991-201314
Estimating option pricing models using a characteristic function-based linear state space representation14
Fast and accurate variational inference for models with many latent variables14
Sharpe Ratio analysis in high dimensions: Residual-based nodewise regression in factor models14
Editorial Board13
Nested Pseudo likelihood estimation of continuous-time dynamic discrete games13
State-domain change point detection for nonlinear time series regression13
Mind your language: Market responses to central bank speeches13
Bipartite network influence analysis of a two-mode network13
Identification of incomplete information allocation-transfer games in monotone equilibrium13
A test of the selection on observables assumption using a discontinuously distributed covariate13
Robust testing for explosive behavior with strongly dependent errors13
Social connections and the sorting of workers to firms13
No star is good news: A unified look at rerandomization based on p-va13
Non-representative sampled networks: Estimation of network structural properties by weighting13
Identifying latent group structures in spatial dynamic panels13
Identification-robust beta pricing, spanning, mimicking portfolios, and the benchmark neutrality of catastrophe bonds13
Large volatility matrix analysis using global and national factor models13
Maximum likelihood estimation of stochastic frontier models with endogeneity13
Mining the factor zoo: Estimation of latent factor models with sufficient proxies13
Bespoke realized volatility: Tailored measures of risk for volatility prediction13
Network and panel quantile effects via distribution regression12
Estimating multinomial choice models with unobserved choice sets12
A simple and computationally trivial estimator for grouped fixed effects models12
Bootstraps for dynamic panel threshold models12
Simultaneous inference for time-varying models12
Regularizing stock return covariance matrices via multiple testing of correlations12
Weighted residual empirical processes, martingale transformations, and model specification tests for regressions with diverging number of parameters12
Nonlinear budget set regressions in random utility models: Theory and application to taxable income12
On improvability of model selection by model averaging12
Efficient quantile covariate adjusted response adaptive experiments12
Themed issue: Quantile regression and data heterogeneity12
A penalized two-pass regression to predict stock returns with time-varying risk premia11
Editorial Board11
Dynamics and heterogeneity of subjective stock market expectations11
Long monthly temperature series and the Vector Seasonal Shifting Mean and Covariance Autoregressive model11
Efficient estimation of high-dimensional dynamic covariance by risk factor mapping: Applications for financial risk management11
Partially identifying competing risks models: An application to the war on cancer11
Time-varying unobserved heterogeneity in earnings shocks11
Wild bootstrap inference for instrumental variables regressions with weak and few clusters11
Testing for peer effects without specifying the network structure11
Estimation of varying coefficient models with measurement error11
Using large samples in econometrics11
Treatment recommendation with distributional targets11
Testing stochastic dominance with many conditioning variables11
Time varying Markov process with partially observed aggregate data: An application to coronavirus11
Tail and center rounding of probabilistic expectations in the Health and Retirement Study11
Indirect inference estimation of dynamic panel data models11
GMM estimation for high-dimensional panel data models10
Latent complementarity in bundles models10
Editorial Board10
A test for Kronecker Product Structure covariance matrix10
On LASSO for predictive regression10
Dynamic modeling for multivariate functional and longitudinal data10
Tensor time series imputation through tensor factor modelling10
Maximum pairwise-rank-likelihood-based inference for the semiparametric transformation model10
Nowcasting the output gap10
Editorial Board10
Dynamic discrete choice models with incomplete data: Sharp identification10
Long-run risk in stationary vector autoregressive models10
Strategic network formation with many agents10
Quantile control via random forest10
Faster estimation of dynamic discrete choice models using index invertibility10
Inference in predictive quantile regressions10
On superlevel sets of conditional densities and multivariate quantile regression10
A stochastic dominance test under survey nonresponse with an application to comparing trust levels in Lebanese public institutions10
Identification and estimation of dynamic structural models with unobserved choices10
Target PCA: Transfer learning large dimensional panel data10
Robust post-selection inference of high-dimensional mean regression with heavy-tailed asymmetric or heteroskedastic errors10
Dynamic factor copula models with estimated cluster assignments10
2SLS with multiple treatments9
Multi-dimensional latent group structures with heterogeneous distributions9
Local projections vs. VARs: Lessons from thousands of DGPs9
Union membership density and wages: The role of worker, firm, and job-title heterogeneity9
Central bank mandates and monetary policy stances: Through the lens of Federal Reserve speeches9
Treatment effects in interactive fixed effects models with a small number of time periods9
An unbounded intensity model for point processes9
Binary choice with misclassification and social interactions, with an application to peer effects in attitude9
Adjustments with many regressors under covariate-adaptive randomizations9
Varying-coefficient spatial dynamic panel data models with fixed effects: Theory and application9
Establishment age and wages9
Weak identification in discrete choice models9
Moments, shocks and spillovers in Markov-switching VAR models9
Beliefs about public debt and the demand for government spending9
Sieve IV estimation of cross-sectional interaction models with nonparametric endogenous effect9
A Bayesian approach to modeling economic growth: Variable selection and cross-sectional dependence9
Autoregressive conditional betas9
Comparing stochastic volatility specifications for large Bayesian VARs9
Nonparametric estimation for high-frequency data incorporating trading information9
Do firm effects drift? Evidence from Washington administrative data9
Approximate factor models with weaker loadings9
Canonical correlation-based model selection for the multilevel factors9
Synthetic Learner: Model-free inference on treatments over time9
Testing for sparse idiosyncratic components in factor-augmented regression models9
Dynamic conditional eigenvalue GARCH8
Model averaging prediction by K-fold cross-validation8
Taking advantage of biased proxies for forecast evaluation8
Approximate maximum likelihood for complex structural models8
Time-varying vector error-correction models: Estimation and inference8
Specification tests for time-varying coefficient models8
Experience as Co-Editor, A. Ronald Gallant8
Estimation and inference in factor copula models with exogenous covariates8
Multivariate stochastic volatility models based on generalized Fisher transformation8
Distribution-invariant differential privacy8
Isotonic regression discontinuity designs8
Self-perceptions about academic achievement: Evidence from Mexico City8
Covariate adjustment in experiments with matched pairs8
Using Wasserstein Generative Adversarial Networks for the design of Monte Carlo simulations8
Vector autoregressions with dynamic factor coefficients and conditionally heteroskedastic errors8
Sparse quantile regression8
Tuning-parameter-free propensity score matching approach for causal inference under shape restriction8
Editorial Board8
Most powerful test against a sequence of high dimensional local alternatives8
Editorial Board8
Identification of mixtures of dynamic discrete choices8
β in the tails8
Cross-section bootstrap for CCE regressions8
Limit theory for local polynomial estimation of functional coefficient models with possibly integrated regressors8
Addressing endogeneity issues in a spatial autoregressive model using copulas8
Large Bayesian SVARs with linear restrictions8
Editorial Board8
A solution to the global identification problem in DSGE models8
Using monotonicity restrictions to identify models with partially latent covariates8
Inference under covariate-adaptive randomization with imperfect compliance8
Identifying the effects of a program offer with an application to Head Start7
Identifying latent factors based on high-frequency data7
Robust estimation of integrated and spot volatility7
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