Journal of Business & Economic Statistics

Papers
(The TQCC of Journal of Business & Economic Statistics is 5. 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
Robust Signal Recovery for High-Dimensional Linear Log-Contrast Models with Compositional Covariates82
Large-Scale Generalized Linear Models for Longitudinal Data with Grouped Patterns of Unobserved Heterogeneity57
Kernel Averaging Estimators48
When are Google Data Useful to Nowcast GDP? An Approach via Preselection and Shrinkage40
Drift bursts in pure jumps: detection and application to Bitcoin31
Quantifying Time-Varying Forecast Uncertainty and Risk for the Real Price of Oil26
High-Dimensional Model-Assisted Inference for Local Average Treatment Effects With Instrumental Variables22
Trend and Variance Adaptive Bayesian Changepoint Analysis and Local Outlier Scoring21
High Frequency ANOVA that is Robust to Jumps, Microstructure Noise and Asynchronous Observation Times21
Instrumental Variable Estimation of Dynamic Treatment Effects on a Duration Outcome20
LASSO for Stochastic Frontier Models with Many Efficient Firms19
Procurements with Bidder Asymmetry in Cost and Risk-Aversion19
Skilled Mutual Fund Selection: False Discovery Control Under Dependence19
Robust Estimation for Threshold Autoregressive Moving-Average Models18
Posterior Average Effects17
Large Order-Invariant Bayesian VARs with Stochastic Volatility16
Dynamic Score-Driven Independent Component Analysis15
Discussion of “Co-citation and Co-authorship Networks of Statisticians” by Pengsheng Ji, Jiashun Jin, Zheng Tracy Ke, and Wanshan Li15
Estimation of Leverage Effect: Kernel Function and Efficiency14
Avoiding Unintentionally Correlated Shocks in Proxy Vector Autoregressive Analysis14
The Efficient Tail Hypothesis: An Extreme Value Perspective on Market Efficiency14
A Functional-Coefficient VAR Model for Dynamic Quantiles and Its Application to Constructing Nonparametric Financial Network14
Does Climate Sensitivity Differ Across Regions? A Varying–Coefficient Approach13
Bonferroni Type Tests for Return Predictability and the Initial Condition13
Getting the ROC into Sync13
Dynamic Modeling via Autoregressive Conditional GB2 for Cross-Sectional Maxima of Financial Time Series Data13
Discussion of “Text Selection” by Bryan Kelly, Asaf Manela, and Alan Moreira13
Discussion of “Co-citation and Co-authorship Networks of Statisticians”13
Optimal Shrinkage-Based Portfolio Selection in High Dimensions12
On the Combination of Naive and Mean-Variance Portfolio Strategies12
A Robust Approach to Heteroscedasticity, Error Serial Correlation and Slope Heterogeneity in Linear Models with Interactive Effects for Large Panel Data12
Prediction Using Many Samples with Models Possibly Containing Partially Shared Parameters12
Graphical Assistant Grouped Network Autoregression Model: A Bayesian Nonparametric Recourse11
Panel Quantile GARCH Models under Homogeneity11
Associate Editors11
Investigating Growth-at-Risk Using a Multicountry Nonparametric Quantile Factor Model11
Discussion of “Imputation of Counterfactual Outcomes when the Errors are Predictable” by Sílvia Gonçalves and Serena Ng11
Fixed Effects Estimation of Spatial Panel Model with Missing Responses: An Application to US State Tax Competition *11
Rejoinder10
Identification of SVAR Models by Combining Sign Restrictions With External Instruments10
Reconciling Trends in Male Earnings Volatility: Evidence from the SIPP Survey and Administrative Data10
Two-Sample Testing for Tail Copulas with an Application to Equity Indices10
Discussion of Levon Barseghyan and Francesca Molinari’s “Risk Preference Types, Limited Consideration, and Welfare”10
Inference for Nonparametric High-Frequency Estimators with an Application to Time Variation in Betas10
A Scalable Frequentist Model Averaging Method10
Correcting for Endogeneity in Models with Bunching9
Statistical Identification of Independent Shocks with Kernel-based Maximum Likelihood Estimation and an Application to the Global Crude Oil Market9
Sectoral Uncertainty: A Hierarchical-Volatility Approach9
Nonparametric Option Pricing with Generalized Entropic Estimators8
Proper Scoring Rules for Evaluating Density Forecasts with Asymmetric Loss Functions8
Context-Dependent Heterogeneous Preferences: A Comment on Barseghyan and Molinari (2023)8
Multi-Threshold Structural Equation Model8
Factor Modeling for High-Dimensional Functional Time Series8
Learning Human Activity Patterns Using Clustered Point Processes With Active and Inactive States8
Discussion of “Risk Preference Types, Limited Consideration, and Welfare” by Levon Barseghyan and Francesca Molinari8
A Design-Based Perspective on Synthetic Control Methods8
Multiple-Attribute Lorenz Functions and Gini Indices: A Measure Transportation Approach8
Policy Analysis Using Multilevel Regression Models with Group Interactive Fixed Effects8
Model Checking in Partially Linear Spatial Autoregressive Models8
An Improved Divide-and-Conquer Approach to Estimating Mean Functional, with Application to Average Treatment Effect Estimation7
Probabilistic Forecast Reconciliation under the Gaussian Framework7
Estimating Trends in Male Earnings Volatility with the Panel Study of Income Dynamics7
Forecasting Inflation Using Economic Narratives7
Circularly Projected Common Factors for Grouped Data7
Theory coherent shrinkage of time-varying parameters in VARs7
Reconciled Estimates of Monthly GDP in the United States7
Forecasting Conditional Covariance Matrices in High-Dimensional Time Series: A General Dynamic Factor Approach7
Fast Variational Bayes Methods for Multinomial Probit Models7
Tests for Jumps in Yield Spreads7
Partially Linear Single-Index Models and Functional Principal Component Analysis of Spatially and Temporally Indexed Point Processes7
Reduced-Rank Envelope Vector Autoregressive Model6
Post-selection Inference of High-dimensional Logistic Regression Under Case–Control Design6
Consistent Estimation of Distribution Functions under Increasing Concave and Convex Stochastic Ordering6
Estimation of Matrix Exponential Unbalanced Panel Data Models with Fixed Effects: An Application to US Outward FDI Stock6
Transformed Estimation for Panel Interactive Effects Models6
Corporate Probability of Default: A Single-Index Hazard Model Approach6
Investigating Economic Uncertainty Using Stochastic Volatility in Mean VARs: The Importance of Model Size, Order-Invariance and Classification6
A Neural Phillips Curve and a Deep Output Gap6
Least squares estimation in nonstationary nonlinear cohort panels with learning from experience*6
Reduced Rank Spatio-Temporal Models6
Nonparametric, Stochastic Frontier Models with Multiple Inputs and Outputs6
Spatial Correlation Robust Inference in Linear Regression and Panel Models6
Inference with High-Dimensional Weak Instruments and the New Keynesian Phillips Curve6
Optimal Model Averaging of Mixed-Data Kernel-Weighted Spline Regressions6
Estimating Latent-Variable Panel Data Models Using Parameter-Expanded SEM Methods5
Large Skew-t Copula Models and Asymmetric Dependence in Intraday Equity Returns5
Homogeneity and Sparsity Analysis for High-Dimensional Panel Data Models5
Forecasting a Nonstationary Time Series Using a Mixture of Stationary and Nonstationary Factors as Predictors5
Extreme Changes in Changes5
Trends in Earnings Volatility Using Linked Administrative and Survey Data5
Mitigating Process Distortion While Preserving Accounting Relations in Hierarchical Time Series5
News-Driven Uncertainty Fluctuations5
Survey Response Behavior as a Proxy for Unobserved Ability: Theory and Evidence5
Inference on Consensus Ranking of Distributions5
A Modified Randomization Test for the Level of Clustering5
Inference in a Class of Optimization Problems: Confidence Regions and Finite Sample Bounds on Errors in Coverage Probabilities5
QML and Efficient GMM Estimation of Spatial Autoregressive Models with Dominant (Popular) Units5
Culling the Herd of Moments with Penalized Empirical Likelihood5
Bayesian Dynamic Matrix Factor Models5
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