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 2021-08-01 to 2025-08-01.)
ArticleCitations
Analyzing cross-validation for forecasting with structural instability4365
Time-Varying Parameters in Econometrics: The editor’s foreword4268
Bond risk premiums at the zero lower bound2706
Shrinkage estimators for periodic autoregressions881
Local linearization based subvector inference in moment inequality models433
Parametric estimation of long memory in factor models222
A multivariate realized GARCH model167
Nonparametric comparison of epidemic time trends: The case of COVID-19159
Uniform predictive inference for factor models with instrumental and idiosyncratic betas90
Locally robust inference for non-Gaussian linear simultaneous equations models87
Volatility prediction comparison via robust volatility proxies: An empirical deviation perspective72
Bootstrapping out-of-sample predictability tests with real-time data71
Inference in cluster randomized trials with matched pairs61
Inference on covariance-mean regression59
A discrete-time hedging framework with multiple factors and fat tails: On what matters59
Individual welfare analysis: Random quasilinear utility, independence, and confidence bounds59
Efficiency bounds for moment condition models with mixed identification strength57
Empirical risk minimization for time series: Nonparametric performance bounds for prediction57
On changepoint detection in functional data using empirical energy distance49
On the origins of Aigner, Lovell and Schmidt, 1977, and the development of stochastic frontier analysis48
Efficient closed-form estimation of large spatial autoregressions46
Simple subvector inference on sharp identified set in affine models43
Identification of semiparametric model coefficients, with an application to collective households43
Machine learning who to nudge: Causal vs predictive targeting in a field experiment on student financial aid renewal42
Semiparametric modeling of multiple quantiles41
A computational approach to identification of treatment effects for policy evaluation41
Editorial Board40
You are what your parents expect: Height and local reference points39
Identifying causal effects in experiments with spillovers and non-compliance36
Stochastic properties of nonlinear locally-nonstationary filters36
Higher-order refinements of small bandwidth asymptotics for density-weighted average derivative estimators35
From LATE to ATE: A Bayesian approach34
Feature-splitting algorithms for ultrahigh dimensional quantile regression33
Measuring tail risk31
High dimensional regression coefficient test with high frequency data31
Monitoring multi-country macroeconomic risk: A quantile factor-augmented vector autoregressive (QFAVAR) approach30
Quantile prediction with factor-augmented regression: Structural instability and model uncertainty30
Limit theory and inference in non-cointegrated functional coefficient regression29
Covariate-adjusted Fisher randomization tests for the average treatment effect28
Latent utility and permutation invariance: A revealed preference approach27
Residual-augmented IVX predictive regression27
Nonseparable sample selection models with censored selection rules27
Simple estimators and inference for higher-order stochastic volatility models27
Initial conditions and Blundell–Bond estimators26
Robust likelihood estimation of dynamic panel data models26
Identification and estimation of a search model with heterogeneous consumers and firms25
GLS under monotone heteroskedasticity25
Semiparametrically optimal cointegration test25
Incentive-driven inattention25
Testing identification conditions of LATE in fuzzy regression discontinuity designs25
Corrigendum to “Local mispricing and microstructural noise: A parametric perspective” [J. Econometrics 230 (2022) 510–534]24
Editorial Board24
Editorial Board24
Joint inference based on Stein-type averaging estimators in the linear regression model24
Satellites turn “concrete”: Tracking cement with satellite data and neural networks24
Cross-sectional dependence in idiosyncratic volatility23
A large confirmatory dynamic factor model for stock market returns in different time zones23
Semiparametric model averaging prediction for dichotomous response23
Estimating high dimensional monotone index models by iterative convex optimization22
Policy evaluation during a pandemic22
High-dimensional conditionally Gaussian state space models with missing data22
Editorial Board21
Nonparametric Bayes subject to overidentified moment conditions21
Relaxing conditional independence in an endogenous binary response model21
Boosting high dimensional predictive regressions with time varying parameters21
SVARs with occasionally-binding constraints21
Inference in models with partially identified control functions21
Testing unconditional and conditional independence via mutual information20
Functional time series approach to analyzing asset returns co-movements20
Likelihood approach to dynamic panel models with interactive effects20
Editorial Board20
Editorial Board20
Hypothesis testing on high dimensional quantile regression20
An improved bootstrap test for restricted stochastic dominance20
Consistent causal inference for high-dimensional time series19
Panel data models with time-varying latent group structures19
Inference after estimation of breaks19
A Correlated Random Coefficient panel model with time-varying endogeneity18
Inequality and the zero lower bound18
Modeling and forecasting realized volatility with the fractional Ornstein–Uhlenbeck process18
Evaluating forecast performance with state dependence17
Identification of dynamic binary response models17
Identification of time-varying transformation models with fixed effects, with an application to unobserved heterogeneity in resource shares17
Inference on time series nonparametric conditional moment restrictions using nonlinear sieves17
Bayesian Methods in Economics and Finance: Editor’s Introduction16
CRPS learning16
On testing for spatial or social network dependence in panel data allowing for network variability16
Inference in Structural Vector Autoregressions identified with an external instrument16
Editorial Board16
The robust F-statistic as a test for weak instruments16
Bootstrap specification tests for dynamic conditional distribution models15
Adaptive Bayesian estimation of conditional discrete-continuous distributions with an application to stock market trading activity15
Robust estimation with exponentially tilted Hellinger distance15
Logical differencing in dyadic network formation models with nontransferable utilities15
Multiple treatments with strategic substitutes15
Editorial Board15
Editorial for special issue in honor of Francis X. Diebold15
Prices, profits, proxies, and production15
The medium-run efficiency consequences of unfair school matching: Evidence from Chinese college admissions15
Debiased machine learning of set-identified linear models14
Introduction to the Special Issue: Models of linked employer–employee data: Twenty years after “High Wage Workers and High Wage Firms”14
Editorial Board14
Penalized time-varying model averaging14
Sieve estimation of option-implied state price density14
Predictive ability tests with possibly overlapping models14
Regression-adjusted estimation of quantile treatment effects under covariate-adaptive randomizations14
Infinite Markov pooling of predictive distributions14
Predictive quantile regression with mixed roots and increasing dimensions: The ALQR approach14
Estimation of continuous-time linear DSGE models from discrete-time measurements14
Common volatility shocks driven by the global carbon transition14
Incentives, search engines, and the elicitation of subjective beliefs: Evidence from representative online survey experiments14
Sharpe Ratio analysis in high dimensions: Residual-based nodewise regression in factor models14
Macroeconomic forecasting and variable ordering in multivariate stochastic volatility models14
A Note from the Editors13
Nonlinear budget set regressions in random utility models: Theory and application to taxable income13
A test of the selection on observables assumption using a discontinuously distributed covariate13
Fast and accurate variational inference for models with many latent variables13
My experience of working for the JE-1991-201313
Bipartite network influence analysis of a two-mode network13
Mining the factor zoo: Estimation of latent factor models with sufficient proxies13
Reprint: Hypothesis testing on high dimensional quantile regression13
State-dependent local projections13
Nested Pseudo likelihood estimation of continuous-time dynamic discrete games13
Robust testing for explosive behavior with strongly dependent errors13
Network and panel quantile effects via distribution regression13
Assumption-lean falsification tests of rate double-robustness of double-machine-learning estimators13
Editorial Board13
Bayesian estimation of cluster covariance matrices of unknown form12
Large volatility matrix analysis using global and national factor models12
On improvability of model selection by model averaging12
Identification-robust beta pricing, spanning, mimicking portfolios, and the benchmark neutrality of catastrophe bonds12
Non-representative sampled networks: Estimation of network structural properties by weighting12
Parental beliefs about returns to child health investments12
Mind your language: Market responses to central bank speeches12
On the performance of the Neyman Allocation with small pilots12
Social connections and the sorting of workers to firms12
Identifying latent group structures in spatial dynamic panels12
Estimating multinomial choice models with unobserved choice sets12
No star is good news: A unified look at rerandomization based on p-va12
Estimating option pricing models using a characteristic function-based linear state space representation12
State-domain change point detection for nonlinear time series regression12
Maximum likelihood estimation of stochastic frontier models with endogeneity12
Simultaneous inference for time-varying models12
Treatment recommendation with distributional targets11
An empirical total survey error decomposition using data combination11
Quantile control via random forest11
Time-varying unobserved heterogeneity in earnings shocks11
Editorial Board11
Overview: Implementation of structural dynamic models: Methodology and applications11
Estimation of varying coefficient models with measurement error11
Long monthly temperature series and the Vector Seasonal Shifting Mean and Covariance Autoregressive model11
Partially identifying competing risks models: An application to the war on cancer11
Testing stochastic dominance with many conditioning variables11
Indirect inference estimation of dynamic panel data models11
Regularizing stock return covariance matrices via multiple testing of correlations11
A penalized two-pass regression to predict stock returns with time-varying risk premia11
Using large samples in econometrics10
Efficient quantile covariate adjusted response adaptive experiments10
A simple and computationally trivial estimator for grouped fixed effects models10
Robust post-selection inference of high-dimensional mean regression with heavy-tailed asymmetric or heteroskedastic errors10
Efficient estimation of high-dimensional dynamic covariance by risk factor mapping: Applications for financial risk management10
On LASSO for predictive regression10
Wild bootstrap inference for instrumental variables regressions with weak and few clusters10
Dynamic modeling for multivariate functional and longitudinal data10
Time-varying instrumental variable estimation10
Identification and estimation of dynamic structural models with unobserved choices10
Tail and center rounding of probabilistic expectations in the Health and Retirement Study10
Dynamic factor copula models with estimated cluster assignments10
Themed issue: Quantile regression and data heterogeneity10
Time varying Markov process with partially observed aggregate data: An application to coronavirus10
Tensor time series imputation through tensor factor modelling10
Editorial Board10
Dynamics and heterogeneity of subjective stock market expectations10
GMM estimation for high-dimensional panel data models9
Long-run risk in stationary vector autoregressive models9
Comparing stochastic volatility specifications for large Bayesian VARs9
Varying-coefficient spatial dynamic panel data models with fixed effects: Theory and application9
2SLS with multiple treatments9
A stochastic dominance test under survey nonresponse with an application to comparing trust levels in Lebanese public institutions9
Union membership density and wages: The role of worker, firm, and job-title heterogeneity9
Nowcasting the output gap9
Editorial Board9
Nonparametric estimation for high-frequency data incorporating trading information9
A test for Kronecker Product Structure covariance matrix9
Synthetic Learner: Model-free inference on treatments over time9
Inference in predictive quantile regressions9
Adjustments with many regressors under covariate-adaptive randomizations9
Sieve IV estimation of cross-sectional interaction models with nonparametric endogenous effect9
Dynamic discrete choice models with incomplete data: Sharp identification9
Binary choice with misclassification and social interactions, with an application to peer effects in attitude9
Target PCA: Transfer learning large dimensional panel data9
Latent complementarity in bundles models9
Autoregressive conditional betas9
Maximum pairwise-rank-likelihood-based inference for the semiparametric transformation model9
Multi-dimensional latent group structures with heterogeneous distributions9
Treatment effects in interactive fixed effects models with a small number of time periods8
Isotonic regression discontinuity designs8
Do firm effects drift? Evidence from Washington administrative data8
Dynamic conditional eigenvalue GARCH8
A Bayesian approach to modeling economic growth: Variable selection and cross-sectional dependence8
On superlevel sets of conditional densities and multivariate quantile regression8
Editorial Board8
Using Wasserstein Generative Adversarial Networks for the design of Monte Carlo simulations8
Central bank mandates and monetary policy stances: Through the lens of Federal Reserve speeches8
Approximate maximum likelihood for complex structural models8
Identification of mixtures of dynamic discrete choices8
Weak identification in discrete choice models8
Local projections vs. VARs: Lessons from thousands of DGPs8
An unbounded intensity model for point processes8
Canonical correlation-based model selection for the multilevel factors8
Cross-section bootstrap for CCE regressions8
Distribution-invariant differential privacy8
Establishment age and wages8
Covariate adjustment in experiments with matched pairs8
Moments, shocks and spillovers in Markov-switching VAR models8
Testing for sparse idiosyncratic components in factor-augmented regression models8
Self-perceptions about academic achievement: Evidence from Mexico City8
Inference under covariate-adaptive randomization with imperfect compliance8
Faster estimation of dynamic discrete choice models using index invertibility8
β in the tails8
Limit theory for local polynomial estimation of functional coefficient models with possibly integrated regressors8
Approximate factor models with weaker loadings8
Editorial Board7
Estimating time-varying networks for high-dimensional time series7
High frequency market making: The role of speed7
Stationary vine copula models for multivariate time series7
Uniform inference in linear panel data models with two-dimensional heterogeneity7
Testing equality of several distributions in separable metric spaces: A maximum mean discrepancy based approach7
Editorial Board7
Beliefs about public debt and the demand for government spending7
Identification and estimation of partial effects in nonlinear semiparametric panel models7
Vector autoregressions with dynamic factor coefficients and conditionally heteroskedastic errors7
Testing for parameter instability and structural change in persistent predictive regressions7
Bias in local projections7
Specification tests for time-varying coefficient models7
One instrument to rule them all: The bias and coverage of just-ID IV7
Functional coefficient panel modeling with communal smoothing covariates7
Experience as Co-Editor, A. Ronald Gallant7
Stable outcomes and information in games: An empirical framework7
Tuning-parameter-free propensity score matching approach for causal inference under shape restriction7
Using monotonicity restrictions to identify models with partially latent covariates7
Bootstrap inference on the boundary of the parameter space, with application to conditional volatility models7
Factor investing: A Bayesian hierarchical approach7
Sparse quantile regression7
Estimating the variance of a combined forecast: Bootstrap-based approach7
Estimation and inference in factor copula models with exogenous covariates7
Editorial Board7
Model averaging prediction byK-fold cross-validation7
Bootstrap analysis of mutual fund performance7
Most powerful test against a sequence of high dimensional local alternatives7
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