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 2021-11-01 to 2025-11-01.)
ArticleCitations
Robust Signal Recovery for High-Dimensional Linear Log-Contrast Models with Compositional Covariates85
Large-Scale Generalized Linear Models for Longitudinal Data with Grouped Patterns of Unobserved Heterogeneity64
Instrumental Variable Estimation of Dynamic Treatment Effects on a Duration Outcome55
Quantifying Time-Varying Forecast Uncertainty and Risk for the Real Price of Oil45
Drift Bursts in Pure Jumps: Detection and Application to Bitcoin33
When are Google Data Useful to Nowcast GDP? An Approach via Preselection and Shrinkage31
Kernel Averaging Estimators27
Trend and Variance Adaptive Bayesian Changepoint Analysis and Local Outlier Scoring26
High Frequency ANOVA that is Robust to Jumps, Microstructure Noise and Asynchronous Observation Times25
Discussion of “Co-citation and Co-authorship Networks of Statisticians” by Pengsheng Ji, Jiashun Jin, Zheng Tracy Ke, and Wanshan Li23
Dynamic Score-Driven Independent Component Analysis23
LASSO for Stochastic Frontier Models with Many Efficient Firms21
A Functional-Coefficient VAR Model for Dynamic Quantiles and Its Application to Constructing Nonparametric Financial Network20
The Efficient Tail Hypothesis: An Extreme Value Perspective on Market Efficiency20
Posterior Average Effects17
Avoiding Unintentionally Correlated Shocks in Proxy Vector Autoregressive Analysis17
Robust Reproducible Network Exploration17
Large Order-Invariant Bayesian VARs with Stochastic Volatility16
Procurements with Bidder Asymmetry in Cost and Risk-Aversion16
Robust Estimation for Threshold Autoregressive Moving-Average Models16
Estimation of Leverage Effect: Kernel Function and Efficiency16
Skilled Mutual Fund Selection: False Discovery Control Under Dependence15
Does Climate Sensitivity Differ Across Regions? A Varying–Coefficient Approach15
Optimal Shrinkage-Based Portfolio Selection in High Dimensions15
Getting the ROC into Sync15
Dynamic Modeling via Autoregressive Conditional GB2 for Cross-Sectional Maxima of Financial Time Series Data14
Prediction Using Many Samples with Models Possibly Containing Partially Shared Parameters14
Bonferroni Type Tests for Return Predictability and the Initial Condition14
Discussion of “Co-citation and Co-authorship Networks of Statisticians”14
On the Combination of Naive and Mean-Variance Portfolio Strategies13
A Robust Approach to Heteroscedasticity, Error Serial Correlation and Slope Heterogeneity in Linear Models with Interactive Effects for Large Panel Data13
Panel Quantile GARCH Models under Homogeneity13
Investigating Growth-at-Risk Using a Multicountry Nonparametric Quantile Factor Model12
Fixed Effects Estimation of Spatial Panel Model with Missing Responses: An Application to US State Tax Competition12
Associate Editors12
Two-Sample Testing for Tail Copulas with an Application to Equity Indices12
Discussion of “Imputation of Counterfactual Outcomes when the Errors are Predictable” by Sílvia Gonçalves and Serena Ng12
Reconciling Trends in Male Earnings Volatility: Evidence from the SIPP Survey and Administrative Data12
Inference for Nonparametric High-Frequency Estimators with an Application to Time Variation in Betas11
Graphical Assistant Grouped Network Autoregression Model: A Bayesian Nonparametric Recourse11
A Scalable Frequentist Model Averaging Method10
Statistical Identification of Independent Shocks with Kernel-based Maximum Likelihood Estimation and an Application to the Global Crude Oil Market10
Rejoinder10
Discussion of Levon Barseghyan and Francesca Molinari’s “Risk Preference Types, Limited Consideration, and Welfare”10
Multi-Threshold Structural Equation Model10
Correcting for Endogeneity in Models with Bunching10
High-dimensional Quantile Vector Autoregression with Influencers and Communities9
Identification of SVAR Models by Combining Sign Restrictions With External Instruments9
Multiple-Attribute Lorenz Functions and Gini Indices: A Measure Transportation Approach9
Sectoral Uncertainty: A Hierarchical-Volatility Approach9
Learning Human Activity Patterns Using Clustered Point Processes With Active and Inactive States9
Nonparametric Option Pricing with Generalized Entropic Estimators9
A Design-Based Perspective on Synthetic Control Methods9
Factor Modeling for High-Dimensional Functional Time Series8
Circularly Projected Common Factors for Grouped Data8
Fast Variational Bayes Methods for Multinomial Probit Models8
Extending the Scope of Inference About Predictive Ability to Machine Learning Methods8
Proper Scoring Rules for Evaluating Density Forecasts with Asymmetric Loss Functions8
An Improved Divide-and-Conquer Approach to Estimating Mean Functional, with Application to Average Treatment Effect Estimation8
Model Checking in Partially Linear Spatial Autoregressive Models8
Policy Analysis Using Multilevel Regression Models with Group Interactive Fixed Effects8
Probabilistic Forecast Reconciliation under the Gaussian Framework7
Forecasting Conditional Covariance Matrices in High-Dimensional Time Series: A General Dynamic Factor Approach7
Tests for Jumps in Yield Spreads7
Consistent Estimation of Distribution Functions under Increasing Concave and Convex Stochastic Ordering7
Binary Outcomes and Linear Interactions 7
Forecasting Inflation Using Economic Narratives7
Spatial Correlation Robust Inference in Linear Regression and Panel Models7
Least Squares Estimation in Nonstationary Nonlinear Cohort Panels with Learning from Experience7
Context-Dependent Heterogeneous Preferences: A Comment on Barseghyan and Molinari (2023)7
Determination of the effective cointegration rank in high-dimensional time-series predictive regressions7
Discussion of “Risk Preference Types, Limited Consideration, and Welfare” by Levon Barseghyan and Francesca Molinari7
Reconciled Estimates of Monthly GDP in the United States7
Theory Coherent Shrinkage of Time-Varying Parameters in VARs7
Corporate Probability of Default: A Single-Index Hazard Model Approach6
Partially Linear Single-Index Models and Functional Principal Component Analysis of Spatially and Temporally Indexed Point Processes6
Nonparametric, Stochastic Frontier Models with Multiple Inputs and Outputs6
Reduced-Rank Envelope Vector Autoregressive Model6
Bayesian Dynamic Matrix Factor Models6
Partial Effects in Time-Varying Linear Transformation Panel Models with Endogeneity*6
Inference with High-Dimensional Weak Instruments and the New Keynesian Phillips Curve6
Estimating Trends in Male Earnings Volatility with the Panel Study of Income Dynamics6
Transformed Estimation for Panel Interactive Effects Models6
Investigating Economic Uncertainty Using Stochastic Volatility in Mean VARs: The Importance of Model Size, Order-Invariance and Classification6
Post-selection Inference of High-dimensional Logistic Regression Under Case–Control Design6
A Neural Phillips Curve and a Deep Output Gap6
Estimation of Matrix Exponential Unbalanced Panel Data Models with Fixed Effects: An Application to US Outward FDI Stock6
Optimal Model Averaging of Mixed-Data Kernel-Weighted Spline Regressions6
Inference on Consensus Ranking of Distributions6
Reduced Rank Spatio-Temporal Models6
Survey Response Behavior as a Proxy for Unobserved Ability: Theory and Evidence6
Forecasting a Nonstationary Time Series Using a Mixture of Stationary and Nonstationary Factors as Predictors5
A Modified Randomization Test for the Level of Clustering5
Large Skew-t Copula Models and Asymmetric Dependence in Intraday Equity Returns5
Extreme Changes in Changes5
Mitigating Process Distortion While Preserving Accounting Relations in Hierarchical Time Series5
Estimating Latent-Variable Panel Data Models Using Parameter-Expanded SEM Methods5
Trends in Earnings Volatility Using Linked Administrative and Survey Data5
Homogeneity and Sparsity Analysis for High-Dimensional Panel Data Models5
News-Driven Uncertainty Fluctuations5
Culling the Herd of Moments with Penalized Empirical Likelihood5
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
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