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 2021-09-01 to 2025-09-01.)
ArticleCitations
Analyzing cross-validation for forecasting with structural instability4583
Time-Varying Parameters in Econometrics: The editor’s foreword4460
Bond risk premiums at the zero lower bound2807
Shrinkage estimators for periodic autoregressions940
Local linearization based subvector inference in moment inequality models445
Parametric estimation of long memory in factor models231
Nonparametric comparison of epidemic time trends: The case of COVID-19174
Locally robust inference for non-Gaussian linear simultaneous equations models172
Volatility prediction comparison via robust volatility proxies: An empirical deviation perspective96
Inference in cluster randomized trials with matched pairs87
Individual welfare analysis: Random quasilinear utility, independence, and confidence bounds75
A discrete-time hedging framework with multiple factors and fat tails: On what matters73
Empirical risk minimization for time series: Nonparametric performance bounds for prediction64
Efficiency bounds for moment condition models with mixed identification strength64
Inference on covariance-mean regression64
On changepoint detection in functional data using empirical energy distance61
On the origins of Aigner, Lovell and Schmidt, 1977, and the development of stochastic frontier analysis60
Uniform predictive inference for factor models with instrumental and idiosyncratic betas58
Simple subvector inference on sharp identified set in affine models55
Identification of semiparametric model coefficients, with an application to collective households52
Semiparametric modeling of multiple quantiles47
A computational approach to identification of treatment effects for policy evaluation46
Bootstrapping out-of-sample predictability tests with real-time data45
Efficient closed-form estimation of large spatial autoregressions45
Neural Conformal Inference for jump diffusion processes44
A multivariate realized GARCH model43
Machine learning who to nudge: Causal vs predictive targeting in a field experiment on student financial aid renewal42
Editorial Board41
You are what your parents expect: Height and local reference points37
Identifying causal effects in experiments with spillovers and non-compliance37
Stochastic properties of nonlinear locally-nonstationary filters36
From LATE to ATE: A Bayesian approach36
Bregman model averaging for forecast combination34
High dimensional regression coefficient test with high frequency data33
Higher-order refinements of small bandwidth asymptotics for density-weighted average derivative estimators31
Measuring tail risk30
Initial conditions and Blundell–Bond estimators30
Robust likelihood estimation of dynamic panel data models29
Quantile prediction with factor-augmented regression: Structural instability and model uncertainty29
Bernstein-type inequalities and nonparametric estimation under near-epoch dependence29
Monitoring multi-country macroeconomic risk: A quantile factor-augmented vector autoregressive (QFAVAR) approach28
Simple estimators and inference for higher-order stochastic volatility models27
Covariate-adjusted Fisher randomization tests for the average treatment effect27
Limit theory and inference in non-cointegrated functional coefficient regression27
Residual-augmented IVX predictive regression26
Latent utility and permutation invariance: A revealed preference approach26
Feature-splitting algorithms for ultrahigh dimensional quantile regression26
Nonseparable sample selection models with censored selection rules26
GLS under monotone heteroskedasticity26
High-dimensional conditionally Gaussian state space models with missing data25
Testing identification conditions of LATE in fuzzy regression discontinuity designs25
Semiparametrically optimal cointegration test25
Identification and estimation of a search model with heterogeneous consumers and firms25
Corrigendum to “Local mispricing and microstructural noise: A parametric perspective” [J. Econometrics 230 (2022) 510–534]24
Joint inference based on Stein-type averaging estimators in the linear regression model24
Cross-sectional dependence in idiosyncratic volatility23
Editorial Board23
Satellites turn “concrete”: Tracking cement with satellite data and neural networks23
Policy evaluation during a pandemic23
A large confirmatory dynamic factor model for stock market returns in different time zones23
Editorial Board23
Estimating high dimensional monotone index models by iterative convex optimization23
Semiparametric model averaging prediction for dichotomous response22
SVARs with occasionally-binding constraints22
Editorial Board22
Incentive-driven inattention22
Editorial Board21
Relaxing conditional independence in an endogenous binary response model21
Nonparametric Bayes subject to overidentified moment conditions21
Functional time series approach to analyzing asset returns co-movements21
Inference in models with partially identified control functions21
Editorial Board20
An improved bootstrap test for restricted stochastic dominance20
Likelihood approach to dynamic panel models with interactive effects19
Inference after estimation of breaks19
Hypothesis testing on high dimensional quantile regression19
Consistent causal inference for high-dimensional time series19
Testing unconditional and conditional independence via mutual information19
Inequality and the zero lower bound18
Evaluating forecast performance with state dependence18
A Correlated Random Coefficient panel model with time-varying endogeneity18
Inference on time series nonparametric conditional moment restrictions using nonlinear sieves18
Distribution regression with censored selection18
Boosting high dimensional predictive regressions with time varying parameters17
Modeling and forecasting realized volatility with the fractional Ornstein–Uhlenbeck process17
Identification of time-varying transformation models with fixed effects, with an application to unobserved heterogeneity in resource shares17
The robust F-statistic as a test for weak instruments17
Panel data models with time-varying latent group structures17
Identification of dynamic binary response models17
CRPS learning17
Inference in Structural Vector Autoregressions identified with an external instrument17
On testing for spatial or social network dependence in panel data allowing for network variability16
Logical differencing in dyadic network formation models with nontransferable utilities16
Editorial Board16
Editorial for special issue in honor of Francis X. Diebold16
Bayesian Methods in Economics and Finance: Editor’s Introduction16
Prices, profits, proxies, and production16
Bootstrap specification tests for dynamic conditional distribution models16
Introduction to the Special Issue: Models of linked employer–employee data: Twenty years after “High Wage Workers and High Wage Firms”15
The medium-run efficiency consequences of unfair school matching: Evidence from Chinese college admissions15
Robust estimation with exponentially tilted Hellinger distance15
Predictive ability tests with possibly overlapping models15
Editorial Board15
Multiple treatments with strategic substitutes15
Debiased machine learning of set-identified linear models15
Adaptive Bayesian estimation of conditional discrete-continuous distributions with an application to stock market trading activity15
Editorial Board14
Infinite Markov pooling of predictive distributions14
Sharpe Ratio analysis in high dimensions: Residual-based nodewise regression in factor models14
A comparative analysis of two-way fixed effects estimators in staggered treatment designs14
Incentives, search engines, and the elicitation of subjective beliefs: Evidence from representative online survey experiments14
Regression-adjusted estimation of quantile treatment effects under covariate-adaptive randomizations14
Assumption-lean falsification tests of rate double-robustness of double-machine-learning estimators14
Common volatility shocks driven by the global carbon transition14
Macroeconomic forecasting and variable ordering in multivariate stochastic volatility models14
Penalized time-varying model averaging14
Predictive quantile regression with mixed roots and increasing dimensions: The ALQR approach14
Fast and accurate variational inference for models with many latent variables14
Bayesian estimation of cluster covariance matrices of unknown form13
Estimation of continuous-time linear DSGE models from discrete-time measurements13
Editorial Board13
Bipartite network influence analysis of a two-mode network13
Mining the factor zoo: Estimation of latent factor models with sufficient proxies13
Mind your language: Market responses to central bank speeches13
Sieve estimation of option-implied state price density13
My experience of working for the JE-1991-201313
A Note from the Editors13
A test of the selection on observables assumption using a discontinuously distributed covariate13
Reprint: Hypothesis testing on high dimensional quantile regression13
State-dependent local projections13
Nested Pseudo likelihood estimation of continuous-time dynamic discrete games13
Nonlinear budget set regressions in random utility models: Theory and application to taxable income13
Large volatility matrix analysis using global and national factor models12
On improvability of model selection by model averaging12
Maximum likelihood estimation of stochastic frontier models with endogeneity12
Simultaneous inference for time-varying models12
On the performance of the Neyman Allocation with small pilots12
Estimating multinomial choice models with unobserved choice sets12
Identification-robust beta pricing, spanning, mimicking portfolios, and the benchmark neutrality of catastrophe bonds12
Robust testing for explosive behavior with strongly dependent errors12
Estimating option pricing models using a characteristic function-based linear state space representation12
State-domain change point detection for nonlinear time series regression12
Parental beliefs about returns to child health investments12
Identifying latent group structures in spatial dynamic panels12
No star is good news: A unified look at rerandomization based on p-va12
Treatment recommendation with distributional targets11
Time-varying unobserved heterogeneity in earnings shocks11
Indirect inference estimation of dynamic panel data models11
Social connections and the sorting of workers to firms11
A penalized two-pass regression to predict stock returns with time-varying risk premia11
Quantile control via random forest11
Testing stochastic dominance with many conditioning variables11
Efficient estimation of high-dimensional dynamic covariance by risk factor mapping: Applications for financial risk management11
Network and panel quantile effects via distribution regression11
Editorial Board11
An empirical total survey error decomposition using data combination11
Estimation of varying coefficient models with measurement error11
Partially identifying competing risks models: An application to the war on cancer11
Non-representative sampled networks: Estimation of network structural properties by weighting11
Regularizing stock return covariance matrices via multiple testing of correlations10
Themed issue: Quantile regression and data heterogeneity10
A simple and computationally trivial estimator for grouped fixed effects models10
Dynamic factor copula models with estimated cluster assignments10
Identification and estimation of dynamic structural models with unobserved choices10
Time varying Markov process with partially observed aggregate data: An application to coronavirus10
Long-run risk in stationary vector autoregressive models10
Tail and center rounding of probabilistic expectations in the Health and Retirement Study10
Wild bootstrap inference for instrumental variables regressions with weak and few clusters10
Efficient quantile covariate adjusted response adaptive experiments10
Robust post-selection inference of high-dimensional mean regression with heavy-tailed asymmetric or heteroskedastic errors10
On LASSO for predictive regression10
Editorial Board10
Using large samples in econometrics10
Dynamics and heterogeneity of subjective stock market expectations10
Tensor time series imputation through tensor factor modelling10
Dynamic modeling for multivariate functional and longitudinal data10
Long monthly temperature series and the Vector Seasonal Shifting Mean and Covariance Autoregressive model10
Editorial Board10
Dynamic discrete choice models with incomplete data: Sharp identification10
Time-varying instrumental variable estimation10
Binary choice with misclassification and social interactions, with an application to peer effects in attitude9
Maximum pairwise-rank-likelihood-based inference for the semiparametric transformation model9
Varying-coefficient spatial dynamic panel data models with fixed effects: Theory and application9
A Bayesian approach to modeling economic growth: Variable selection and cross-sectional dependence9
Multi-dimensional latent group structures with heterogeneous distributions9
Synthetic Learner: Model-free inference on treatments over time9
Sieve IV estimation of cross-sectional interaction models with nonparametric endogenous effect9
Adjustments with many regressors under covariate-adaptive randomizations9
A test for Kronecker Product Structure covariance matrix9
Inference in predictive quantile regressions9
Latent complementarity in bundles models9
GMM estimation for high-dimensional panel data models9
2SLS with multiple treatments9
Union membership density and wages: The role of worker, firm, and job-title heterogeneity9
Faster estimation of dynamic discrete choice models using index invertibility9
Target PCA: Transfer learning large dimensional panel data9
Nonparametric estimation for high-frequency data incorporating trading information9
A stochastic dominance test under survey nonresponse with an application to comparing trust levels in Lebanese public institutions9
Canonical correlation-based model selection for the multilevel factors9
On superlevel sets of conditional densities and multivariate quantile regression9
Comparing stochastic volatility specifications for large Bayesian VARs9
An unbounded intensity model for point processes9
Nowcasting the output gap9
Autoregressive conditional betas9
Testing for sparse idiosyncratic components in factor-augmented regression models9
Approximate maximum likelihood for complex structural models8
Central bank mandates and monetary policy stances: Through the lens of Federal Reserve speeches8
Inference under covariate-adaptive randomization with imperfect compliance8
Editorial Board8
Limit theory for local polynomial estimation of functional coefficient models with possibly integrated regressors8
Dynamic conditional eigenvalue GARCH8
Editorial Board8
Moments, shocks and spillovers in Markov-switching VAR models8
Isotonic regression discontinuity designs8
Using Wasserstein Generative Adversarial Networks for the design of Monte Carlo simulations8
Treatment effects in interactive fixed effects models with a small number of time periods8
Identification of mixtures of dynamic discrete choices8
β in the tails8
Local projections vs. VARs: Lessons from thousands of DGPs8
Do firm effects drift? Evidence from Washington administrative data8
Taking advantage of biased proxies for forecast evaluation8
Stable outcomes and information in games: An empirical framework8
Editorial Board8
Covariate adjustment in experiments with matched pairs8
Distribution-invariant differential privacy8
Cross-section bootstrap for CCE regressions8
Weak identification in discrete choice models8
Establishment age and wages8
Self-perceptions about academic achievement: Evidence from Mexico City8
Experience as Co-Editor, A. Ronald Gallant8
Approximate factor models with weaker loadings8
Model averaging prediction byK-fold cross-validation8
Beliefs about public debt and the demand for government spending8
Identification and estimation of partial effects in nonlinear semiparametric panel models7
A GMM approach to estimate the roughness of stochastic volatility7
A time-varying parameter model for local explosions7
Projected estimation for large-dimensional matrix factor models7
Bias in local projections7
Testing equality of several distributions in separable metric spaces: A maximum mean discrepancy based approach7
Stationary vine copula models for multivariate time series7
Loss aversion and the welfare ranking of policy interventions7
Quantile analysis of “hazard-rate” game models7
Editorial Board7
One instrument to rule them all: The bias and coverage of just-ID IV7
Bootstrap inference on the boundary of the parameter space, with application to conditional volatility models7
Group fused Lasso for large factor models with multiple structural breaks7
Semiparametric estimation of latent variable asset pricing models7
Robust inference in first-price auctions: Overbidding as an identifying restriction7
Testing for parameter instability and structural change in persistent predictive regressions7
Factor investing: A Bayesian hierarchical approach7
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