Journal of Econometrics

Papers
(The median citation count of Journal of Econometrics is 2. 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
Editorial Board3153
Editorial Board3089
On uniform inference in nonlinear models with endogeneity1968
Is Newey–West optimal among first-order kernels?470
Editorial Board327
Robust inference of panel data models with interactive fixed effects under long memory: A frequency domain approach225
Realized matrix-exponential stochastic volatility with asymmetry, long memory and higher-moment spillovers163
The determinants of displaced workers’ wages: Sorting, matching, selection, and the Hartz reforms102
Identification of semiparametric model coefficients, with an application to collective households78
A computational approach to identification of treatment effects for policy evaluation63
The variance of regression coefficients when the population is finite59
On model selection criteria for climate change impact studies53
The law of large numbers for large stable matchings52
Asymptotic properties of Bayesian inference in linear regression with a structural break52
Identification of dynamic games with unobserved heterogeneity and multiple equilibria48
Wild bootstrap inference for instrumental variables regressions with weak and few clusters48
Second-order corrected likelihood for nonlinear panel models with fixed effects48
Estimation and inference of seller’s expected revenue in first-price auctions48
Detecting granular time series in large panels44
Testing heterogeneous treatment effect with quantile regression under covariate-adaptive randomization41
Probabilistic prediction for binary treatment choice: With focus on personalized medicine38
News-implied linkages and local dependency in the equity market38
Indirect inference estimation of dynamic panel data models35
Treatment recommendation with distributional targets35
Robust realized integrated beta estimator with application to dynamic analysis of integrated beta35
Testing high-dimensional covariance matrices under the elliptical distribution and beyond34
Time-varying unobserved heterogeneity in earnings shocks34
Two-step estimation of censored quantile regression for duration models with time-varying regressors33
One-way or two-way factor model for matrix sequences?33
Editorial Board33
Real-time Bayesian learning and bond return predictability32
Fast inference for quantile regression with tens of millions of observations31
Hybrid quantile estimation for asymmetric power GARCH models30
Estimation and inference for policy relevant treatment effects29
Estimating unobserved individual heterogeneity using pairwise comparisons29
Semiparametric approach to estimation of marginal mean effects and marginal quantile effects27
Estimation of common factors for microstructure noise and efficient price in a high-frequency dual factor model27
Nonparametric identification and estimation of the extended Roy model27
The term structure of macroeconomic risks at the effective lower bound27
A new generalized exponentially weighted moving average quantile model and its statistical inference26
Goodness-of-fit testing for time series models via distance covariance26
Understanding temporal aggregation effects on kurtosis in financial indices26
Long monthly temperature series and the Vector Seasonal Shifting Mean and Covariance Autoregressive model25
Parsimony inducing priors for large scale state–space models25
The spread of COVID-19 in London: Network effects and optimal lockdowns25
Overview: Implementation of structural dynamic models: Methodology and applications24
Jackknife empirical likelihood for inequality constraints on regular functionals24
Gender differences in sorting on wages and risk24
Inference without smoothing for large panels with cross-sectional and temporal dependence23
Testing stochastic dominance with many conditioning variables22
Effects of taxes and safety net pensions on life-cycle labor supply, savings and human capital: The case of Australia22
Quasi score-driven models22
Partially identifying competing risks models: An application to the war on cancer22
Distributional counterfactual analysis in high-dimensional setup21
Time-varying forecast combination for factor-augmented regressions with smooth structural changes21
Identification of heterogeneous elasticities in gross-output production functions21
Computing semiparametric efficiency bounds in discrete choice models with strategic-interactions and rational expectations20
Efficiency bounds for moment condition models with mixed identification strength20
Editorial Board20
Dynamic modeling for multivariate functional and longitudinal data20
Testing and support recovery of correlation structures for matrix-valued observations with an application to stock market data20
A User’s guide for inference in models defined by moment inequalities19
Efficient quantile covariate adjusted response adaptive experiments18
Dynamic factor copula models with estimated cluster assignments18
Shrinkage estimation of multiple threshold factor models18
Parametric estimation of long memory in factor models18
Estimation and identification of latent group structures in panel data18
Bounds on distributional treatment effect parameters using panel data with an application on job displacement18
A penalized two-pass regression to predict stock returns with time-varying risk premia18
Estimation and variable selection for high-dimensional spatial dynamic panel data models17
Heterogeneity of consumption responses to income shocks in the presence of nonlinear persistence17
Time-varying forecast combination for high-dimensional data17
The browser war — Analysis of Markov Perfect Equilibrium in markets with dynamic demand effects16
Semi-nonparametric estimation of random coefficients logit model for aggregate demand16
Bias reduction in spot volatility estimation from options16
Semiparametric estimation of long-term treatment effects16
A Bayesian robust chi-squared test for testing simple hypotheses16
Testing capital asset pricing models using functional-coefficient panel data models with cross-sectional dependence16
Estimation of varying coefficient models with measurement error16
Statistical inference for linear mediation models with high-dimensional mediators and application to studying stock reaction to COVID-19 pandemic16
Inferential theory for heterogeneity and cointegration in large panels16
An integrated panel data approach to modelling economic growth16
Inference on covariance-mean regression15
Introduction to the Annals Issue in Honor of Gary Chamberlain15
Nonparametric jump variation measures from options15
Overview: Time series analysis of higher moments and distributions of financial data15
Volatility prediction comparison via robust volatility proxies: An empirical deviation perspective15
Editorial Board15
Efficient estimation of multivariate semi-nonparametric GARCH filtered copula models15
On the origins of Aigner, Lovell and Schmidt, 1977, and the development of stochastic frontier analysis15
Editorial Board15
Quantile regression methods for first-price auctions15
Introduction to the Journal of Econometrics Annals Issue on “Subjective Expectations and Probabilities in Economics”15
Editorial Board14
A dynamic conditional score model for the log correlation matrix14
Epilogue14
Uniform predictive inference for factor models with instrumental and idiosyncratic betas14
Time-Varying Parameters in Econometrics: The editor’s foreword14
The Observed Asymptotic Variance: Hard edges, and a regression approach14
The Journal of Econometrics 2012–201814
Dynamics and heterogeneity of subjective stock market expectations14
(Machine) learning parameter regions14
Regularizing stock return covariance matrices via multiple testing of correlations13
Efficient closed-form estimation of large spatial autoregressions13
Locally robust inference for non-Gaussian linear simultaneous equations models13
What is a standard error?13
Frequentist properties of Bayesian inequality tests13
Revisiting the location of FDI in China: A panel data approach with heterogeneous shocks13
The distribution of rolling regression estimators12
Cluster-robust inference: A guide to empirical practice12
The chained difference-in-differences12
Shrinkage estimators for periodic autoregressions12
Identification-robust and simultaneous inference in multifactor asset pricing models12
Bootstrapping out-of-sample predictability tests with real-time data12
Functional ecological inference12
Estimation of complier expected shortfall treatment effects with a binary instrumental variable11
Efficient estimation and filtering for multivariate jump–diffusions11
Analyzing cross-validation for forecasting with structural instability11
Robust Bayesian inference in proxy SVARs11
Individual welfare analysis: Random quasilinear utility, independence, and confidence bounds11
Time-varying instrumental variable estimation11
Bayesian factor-adjusted sparse regression11
A general semiparametric approach to inference with marker-dependent hazard rate models11
Tail behavior of ACD models and consequences for likelihood-based estimation11
Fully modified least squares cointegrating parameter estimation in multicointegrated systems11
Time varying Markov process with partially observed aggregate data: An application to coronavirus11
Nonstationary panel models with latent group structures and cross-section dependence11
Using large samples in econometrics11
Local linearization based subvector inference in moment inequality models10
Joint Bayesian inference about impulse responses in VAR models10
Tail and center rounding of probabilistic expectations in the Health and Retirement Study10
High frequency principal component analysis based on correlation matrix that is robust to jumps, microstructure noise and asynchronous observation times10
Inference on the best policies with many covariates10
Nonparametric comparison of epidemic time trends: The case of COVID-1910
Testing for observation-dependent regime switching in mixture autoregressive models10
Optimal nonparametric range-based volatility estimation10
Editorial Board10
Maximum likelihood estimation forα-stable double autoregressive mod10
High dimensional semiparametric moment restriction models10
Simple and trustworthy cluster-robust GMM inference10
Quasi-maximum likelihood estimation of break point in high-dimensional factor models10
Empirical risk minimization for time series: Nonparametric performance bounds for prediction10
Testing the martingale difference hypothesis in high dimension9
Bridging the Covid-19 data and the epidemiological model using the time-varying parameter SIRD model9
The wisdom of the crowd and prediction markets9
Higher-order least squares inference for spatial autoregressions9
Efficient estimation of high-dimensional dynamic covariance by risk factor mapping: Applications for financial risk management9
Robust post-selection inference of high-dimensional mean regression with heavy-tailed asymmetric or heteroskedastic errors9
A discrete-time hedging framework with multiple factors and fat tails: On what matters9
Inference in Bayesian Proxy-SVARs9
On LASSO for predictive regression9
Lasso inference for high-dimensional time series9
Time series estimation of the dynamic effects of disaster-type shocks9
Dynamic panels with MIDAS covariates: Nonlinearity, estimation and fit9
Quantile control via random forest9
An empirical total survey error decomposition using data combination9
Refining set-identification in VARs through independence9
Asymptotically valid Bayesian inference in the presence of distributional misspecification in VAR models9
Bond risk premiums at the zero lower bound9
A doubly corrected robust variance estimator for linear GMM9
A Multi-Kink quantile regression model with common structure for panel data analysis9
Spatial autoregressions with an extended parameter space and similarity-based weights9
Instrumental variable estimation of dynamic linear panel data models with defactored regressors and a multifactor error structure9
Better bunching, nicer notching9
Asset splitting algorithm for ultrahigh dimensional portfolio selection and its theoretical property9
Improved marginal likelihood estimation via power posteriors and importance sampling9
Machine learning who to nudge: Causal vs predictive targeting in a field experiment on student financial aid renewal8
Comparing stochastic volatility specifications for large Bayesian VARs8
Validating approximate slope homogeneity in large panels8
Simulation-based estimation with many auxiliary statistics applied to long-run dynamic analysis8
Polar amplification in a moist energy balance model: A structural econometric approach to estimation and testing8
Introduction to the Themed Issue: Macroeconometrics8
Higher-order refinements of small bandwidth asymptotics for density-weighted average derivative estimators8
Corrigendum to “Predictability of stock returns and asset allocation under structural breaks” [J. Econometrics 164 (2011) 60–78]8
High dimensional regression coefficient test with high frequency data8
Reprint of: The likelihood ratio test for structural changes in factor models8
Natural disasters as macroeconomic tail risks8
On LASSO for high dimensional predictive regression8
Themed issue: Quantile regression and data heterogeneity8
Inference in cluster randomized trials with matched pairs8
Identifying causal effects in experiments with spillovers and non-compliance8
Semiparametric modeling of multiple quantiles8
Testing many restrictions under heteroskedasticity7
Nonseparable sample selection models with censored selection rules7
Overview: Structural econometrics honoring Daniel McFadden7
Editorial Board7
Distinguishing incentive from selection effects in auction-determined contracts7
Detection of units with pervasive effects in large panel data models7
Canonical correlation-based model selection for the multilevel factors7
Model selection in utility-maximizing binary prediction7
Editorial Board7
Testing for time stochastic dominance7
Identification-robust nonparametric inference in a linear IV model7
Inference in ordered response games with complete information7
Estimation of a SAR model with endogenous spatial weights constructed by bilateral variables7
Dynamic discrete choice models with incomplete data: Sharp identification7
Editorial Board7
Spatial dynamic panel data models with correlated random effects7
Journal of econometrics: The first 20 years7
When bias contributes to variance: True limit theory in functional coefficient cointegrating regression7
Autoencoder asset pricing models7
IV methods for Tobit models7
On the past, present, and future of the Diebold–Yilmaz approach to dynamic network connectedness7
A comparison of the GB2 and skewed generalized log-t distributions with an application in finance7
Some impossibility results for inference with cluster dependence with large clusters7
Editorial Board7
Introducing How-To papers7
Model averaging prediction for time series models with a diverging number of parameters7
Diagnostic tests for homoskedasticity in spatial cross-sectional or panel models7
Testing the eigenvalue structure of spot and integrated covariance7
A test for Kronecker Product Structure covariance matrix7
A stochastic dominance test under survey nonresponse with an application to comparing trust levels in Lebanese public institutions6
Multi-dimensional latent group structures with heterogeneous distributions6
Using time-varying volatility for identification in Vector Autoregressions: An application to endogenous uncertainty6
Testing the existence of moments for GARCH processes6
Maximum likelihood estimation and inference for high dimensional generalized factor models with application to factor-augmented regressions6
Generalized linear models with structured sparsity estimators6
Solving Euler equations via two-stage nonparametric penalized splines6
Editorial Board6
Beyond RCP8.5: Marginal mitigation using quasi-representative concentration pathways6
Who should get vaccinated? Individualized allocation of vaccines over SIR network6
The effects of training incidence and planned training duration on labor market transitions6
An information–Theoretic approach to partially identified auction models6
Editorial Board6
Nonparametric estimation for high-frequency data incorporating trading information6
Extreme expectile estimation for short-tailed data6
Asymptotic properties of correlation-based principal component analysis6
Reproducibility and transparency versus privacy and confidentiality: Reflections from a data editor6
Nonparametric estimation of large covariance matrices with conditional sparsity6
On superlevel sets of conditional densities and multivariate quantile regression6
Heterogeneity in households’ stock market beliefs6
Hybrid unadjusted Langevin methods for high-dimensional latent variable models6
Monitoring multi-country macroeconomic risk: A quantile factor-augmented vector autoregressive (QFAVAR) approach6
On the aggregation of probability assessments: Regularized mixtures of predictive densities for Eurozone inflation and real interest rates6
Score-type tests for normal mixtures6
Improved estimation of semiparametric dynamic copula models with filtered nonstationarity6
Inference on quantile processes with a finite number of clusters6
Editorial Board6
Sieve IV estimation of cross-sectional interaction models with nonparametric endogenous effect6
Hierarchical Markov-switching models for multivariate integer-valued time-series6
Local mispricing and microstructural noise: A parametric perspective6
SONIC: SOcial Network analysis with Influencers and Communities6
Mental health and abortions among young women: time-varying unobserved heterogeneity, health behaviors, and risky decisions6
Whitney Newey’s contributions to econometrics6
Editorial Board6
Semi-parametric single-index predictive regression models with cointegrated regressors6
Identification and estimation of unconditional policy effects of an endogenous binary treatment: An unconditional MTE approach5
On uniform confidence intervals for the tail index and the extreme quantile5
An unbounded intensity model for point processes5
Covariate-adjusted Fisher randomization tests for the average treatment effect5
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