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 2021-06-01 to 2025-06-01.)
ArticleCitations
Analyzing cross-validation for forecasting with structural instability4009
Time-Varying Parameters in Econometrics: The editor’s foreword3948
Efficiency bounds for moment condition models with mixed identification strength2503
Bond risk premiums at the zero lower bound771
Shrinkage estimators for periodic autoregressions410
Semiparametric modeling of multiple quantiles205
Local linearization based subvector inference in moment inequality models145
Parametric estimation of long memory in factor models144
On the origins of Aigner, Lovell and Schmidt, 1977, and the development of stochastic frontier analysis82
Inference on covariance-mean regression78
Nonparametric comparison of epidemic time trends: The case of COVID-1968
Uniform predictive inference for factor models with instrumental and idiosyncratic betas68
Locally robust inference for non-Gaussian linear simultaneous equations models58
Volatility prediction comparison via robust volatility proxies: An empirical deviation perspective58
Bootstrapping out-of-sample predictability tests with real-time data57
Inference in cluster randomized trials with matched pairs55
Individual welfare analysis: Random quasilinear utility, independence, and confidence bounds55
A discrete-time hedging framework with multiple factors and fat tails: On what matters53
Empirical risk minimization for time series: Nonparametric performance bounds for prediction46
A computational approach to identification of treatment effects for policy evaluation45
Efficient closed-form estimation of large spatial autoregressions45
Simple subvector inference on sharp identified set in affine models42
A multivariate realized GARCH model39
Machine learning who to nudge: Causal vs predictive targeting in a field experiment on student financial aid renewal39
Identification of semiparametric model coefficients, with an application to collective households39
Editorial Board38
Measuring tail risk36
You are what your parents expect: Height and local reference points35
Simple estimators and inference for higher-order stochastic volatility models35
Identifying causal effects in experiments with spillovers and non-compliance34
Stochastic properties of nonlinear locally-nonstationary filters33
Higher-order refinements of small bandwidth asymptotics for density-weighted average derivative estimators33
Latent utility and permutation invariance: A revealed preference approach32
From LATE to ATE: A Bayesian approach31
High dimensional regression coefficient test with high frequency data30
Covariate-adjusted Fisher randomization tests for the average treatment effect29
Robust likelihood estimation of dynamic panel data models28
Monitoring multi-country macroeconomic risk: A quantile factor-augmented vector autoregressive (QFAVAR) approach27
Limit theory and inference in non-cointegrated functional coefficient regression27
Feature-splitting algorithms for ultrahigh dimensional quantile regression26
Nonseparable sample selection models with censored selection rules25
Initial conditions and Blundell–Bond estimators25
Testing identification conditions of LATE in fuzzy regression discontinuity designs25
Residual-augmented IVX predictive regression25
GLS under monotone heteroskedasticity25
Quantile prediction with factor-augmented regression: Structural instability and model uncertainty25
SVARs with occasionally-binding constraints24
Corrigendum to “Local mispricing and microstructural noise: A parametric perspective” [J. Econometrics 230 (2022) 510–534]24
Editorial Board24
Semiparametrically optimal cointegration test24
Joint inference based on Stein-type averaging estimators in the linear regression model23
Editorial Board23
Incentive-driven inattention23
A large confirmatory dynamic factor model for stock market returns in different time zones22
Cross-sectional dependence in idiosyncratic volatility22
Identification and estimation of a search model with heterogeneous consumers and firms22
Editorial Board22
Semiparametric model averaging prediction for dichotomous response21
Estimating high dimensional monotone index models by iterative convex optimization21
High-dimensional conditionally Gaussian state space models with missing data21
Time-varying model averaging21
Policy evaluation during a pandemic20
Satellites turn “concrete”: Tracking cement with satellite data and neural networks20
Editorial Board20
Inference in models with partially identified control functions19
Nonparametric Bayes subject to overidentified moment conditions19
Relaxing conditional independence in an endogenous binary response model19
Editorial Board19
Boosting high dimensional predictive regressions with time varying parameters19
Testing unconditional and conditional independence via mutual information18
An improved bootstrap test for restricted stochastic dominance18
Editorial Board18
Functional time series approach to analyzing asset returns co-movements18
Hypothesis testing on high dimensional quantile regression18
Identification of time-varying transformation models with fixed effects, with an application to unobserved heterogeneity in resource shares18
Evaluating forecast performance with state dependence18
Likelihood approach to dynamic panel models with interactive effects17
Identification of dynamic binary response models17
Inference after estimation of breaks17
Consistent causal inference for high-dimensional time series17
Inference in Structural Vector Autoregressions identified with an external instrument17
Inequality and the zero lower bound16
Modeling and forecasting realized volatility with the fractional Ornstein–Uhlenbeck process16
Panel data models with time-varying latent group structures16
Inference on time series nonparametric conditional moment restrictions using nonlinear sieves16
CRPS learning15
Bayesian Methods in Economics and Finance: Editor’s Introduction15
Editorial Board15
The robust F-statistic as a test for weak instruments15
Logical differencing in dyadic network formation models with nontransferable utilities15
Editorial for special issue in honor of Francis X. Diebold15
A Correlated Random Coefficient panel model with time-varying endogeneity15
On testing for spatial or social network dependence in panel data allowing for network variability15
Prices, profits, proxies, and production15
Bootstrap specification tests for dynamic conditional distribution models15
Estimation of continuous-time linear DSGE models from discrete-time measurements14
Robust estimation with exponentially tilted Hellinger distance14
Assumption-lean falsification tests of rate double-robustness of double-machine-learning estimators14
Multiple treatments with strategic substitutes14
Adaptive Bayesian estimation of conditional discrete-continuous distributions with an application to stock market trading activity14
State-dependent local projections13
The medium-run efficiency consequences of unfair school matching: Evidence from Chinese college admissions13
Predictive ability tests with possibly overlapping models13
Incentives, search engines, and the elicitation of subjective beliefs: Evidence from representative online survey experiments13
Debiased machine learning of set-identified linear models13
Macroeconomic forecasting and variable ordering in multivariate stochastic volatility models13
Introduction to the Special Issue: Models of linked employer–employee data: Twenty years after “High Wage Workers and High Wage Firms”13
Editorial Board13
Regression-adjusted estimation of quantile treatment effects under covariate-adaptive randomizations13
A weighted sieve estimator for nonparametric time series models with nonstationary variables13
Penalized time-varying model averaging13
Infinite Markov pooling of predictive distributions13
Editorial Board13
Predictive quantile regression with mixed roots and increasing dimensions: The ALQR approach13
Sharpe Ratio analysis in high dimensions: Residual-based nodewise regression in factor models13
Common volatility shocks driven by the global carbon transition12
My experience of working for the JE-1991-201312
Reprint: Hypothesis testing on high dimensional quantile regression12
Mining the factor zoo: Estimation of latent factor models with sufficient proxies12
Sieve estimation of option-implied state price density12
Editorial Board12
Nested Pseudo likelihood estimation of continuous-time dynamic discrete games12
Robust testing for explosive behavior with strongly dependent errors12
A Note from the Editors12
Fast and accurate variational inference for models with many latent variables12
State-domain change point detection for nonlinear time series regression12
Bipartite network influence analysis of a two-mode network12
Nonlinear budget set regressions in random utility models: Theory and application to taxable income12
On the performance of the Neyman Allocation with small pilots11
Social connections and the sorting of workers to firms11
Identification-robust beta pricing, spanning, mimicking portfolios, and the benchmark neutrality of catastrophe bonds11
Estimating option pricing models using a characteristic function-based linear state space representation11
Estimating multinomial choice models with unobserved choice sets11
No star is good news: A unified look at rerandomization based on p-va11
Large volatility matrix analysis using global and national factor models11
Mind your language: Market responses to central bank speeches11
Bayesian estimation of cluster covariance matrices of unknown form11
Indirect inference for locally stationary models11
A test of the selection on observables assumption using a discontinuously distributed covariate11
Limit theorems for network dependent random variables11
On improvability of model selection by model averaging11
Maximum likelihood estimation of stochastic frontier models with endogeneity11
Simultaneous inference for time-varying models11
Network and panel quantile effects via distribution regression11
Identifying latent group structures in spatial dynamic panels11
Parental beliefs about returns to child health investments11
Non-representative sampled networks: Estimation of network structural properties by weighting10
Editorial Board10
Overview: Implementation of structural dynamic models: Methodology and applications10
Testing stochastic dominance with many conditioning variables10
Using large samples in econometrics10
Long monthly temperature series and the Vector Seasonal Shifting Mean and Covariance Autoregressive model10
Dynamics and heterogeneity of subjective stock market expectations10
Estimation of varying coefficient models with measurement error10
Partially identifying competing risks models: An application to the war on cancer10
A penalized two-pass regression to predict stock returns with time-varying risk premia10
Treatment recommendation with distributional targets10
Time-varying unobserved heterogeneity in earnings shocks10
An empirical total survey error decomposition using data combination10
Long-run risk in stationary vector autoregressive models9
Tail and center rounding of probabilistic expectations in the Health and Retirement Study9
On LASSO for predictive regression9
Quantile control via random forest9
Time varying Markov process with partially observed aggregate data: An application to coronavirus9
Indirect inference estimation of dynamic panel data models9
Efficient quantile covariate adjusted response adaptive experiments9
Wild bootstrap inference for instrumental variables regressions with weak and few clusters9
Union membership density and wages: The role of worker, firm, and job-title heterogeneity9
Dynamic discrete choice models with incomplete data: Sharp identification9
Identification and estimation of dynamic structural models with unobserved choices9
Editorial Board9
Tensor time series imputation through tensor factor modelling9
Time-varying instrumental variable estimation9
Dynamic modeling for multivariate functional and longitudinal data9
Dynamic factor copula models with estimated cluster assignments9
Nonparametric estimation for high-frequency data incorporating trading information9
Nowcasting the output gap9
Editorial Board9
Themed issue: Quantile regression and data heterogeneity9
Regularizing stock return covariance matrices via multiple testing of correlations9
Simple and trustworthy cluster-robust GMM inference9
Robust post-selection inference of high-dimensional mean regression with heavy-tailed asymmetric or heteroskedastic errors9
Efficient estimation of high-dimensional dynamic covariance by risk factor mapping: Applications for financial risk management9
Inference in predictive quantile regressions9
GMM estimation for high-dimensional panel data models8
An unbounded intensity model for point processes8
Self-perceptions about academic achievement: Evidence from Mexico City8
Establishment age and wages8
Local projections vs. VARs: Lessons from thousands of DGPs8
Varying-coefficient spatial dynamic panel data models with fixed effects: Theory and application8
Adjustments with many regressors under covariate-adaptive randomizations8
A test for Kronecker Product Structure covariance matrix8
A stochastic dominance test under survey nonresponse with an application to comparing trust levels in Lebanese public institutions8
Latent complementarity in bundles models8
2SLS with multiple treatments8
Isotonic regression discontinuity designs8
Dynamic conditional eigenvalue GARCH8
Cross-section bootstrap for CCE regressions8
Target PCA: Transfer learning large dimensional panel data8
Inference under covariate-adaptive randomization with imperfect compliance8
On superlevel sets of conditional densities and multivariate quantile regression8
Autoregressive conditional betas8
Maximum pairwise-rank-likelihood-based inference for the semiparametric transformation model8
Testing for sparse idiosyncratic components in factor-augmented regression models8
Sieve IV estimation of cross-sectional interaction models with nonparametric endogenous effect8
Weak identification in discrete choice models8
Editorial Board8
Canonical correlation-based model selection for the multilevel factors8
Binary choice with misclassification and social interactions, with an application to peer effects in attitude8
Multi-dimensional latent group structures with heterogeneous distributions8
Comparing stochastic volatility specifications for large Bayesian VARs8
Solving Euler equations via two-stage nonparametric penalized splines8
Synthetic Learner: Model-free inference on treatments over time8
Covariate adjustment in experiments with matched pairs7
Approximate maximum likelihood for complex structural models7
Beliefs about public debt and the demand for government spending7
Stable outcomes and information in games: An empirical framework7
A solution to the global identification problem in DSGE models7
Bootstrap analysis of mutual fund performance7
Experience as Co-Editor, A. Ronald Gallant7
Identification of mixtures of dynamic discrete choices7
Treatment effects in interactive fixed effects models with a small number of time periods7
β in the tails7
Approximate factor models with weaker loadings7
Editorial Board7
Estimation and inference in factor copula models with exogenous covariates7
Valid inference for treatment effect parameters under irregular identification and many extreme propensity scores7
Stationary vine copula models for multivariate time series7
Testing equality of several distributions in separable metric spaces: A maximum mean discrepancy based approach7
Model averaging prediction byK-fold cross-validation7
Distribution-invariant differential privacy7
Limit theory for local polynomial estimation of functional coefficient models with possibly integrated regressors7
Moments, shocks and spillovers in Markov-switching VAR models7
Central bank mandates and monetary policy stances: Through the lens of Federal Reserve speeches7
Editorial Board7
Identification and estimation of partial effects in nonlinear semiparametric panel models7
Tuning-parameter-free propensity score matching approach for causal inference under shape restriction7
Large Bayesian SVARs with linear restrictions7
Using Wasserstein Generative Adversarial Networks for the design of Monte Carlo simulations7
Do firm effects drift? Evidence from Washington administrative data7
Global robust Bayesian analysis in large models6
Statistical inference for the low dimensional parameters of linear regression models in the presence of high-dimensional data: An orthogonal projection approach6
Semiparametric estimation of latent variable asset pricing models6
A post-screening diagnostic study for ultrahigh dimensional data6
Nonparametric identification and estimation of stochastic block models from many small networks6
Loss aversion and the welfare ranking of policy interventions6
A time-varying parameter model for local explosions6
Identifying latent factors based on high-frequency data6
Robust estimation of integrated and spot volatility6
Discrete mixtures of normals pseudo maximum likelihood estimators of structural vector autoregressions6
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