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 2022-01-01 to 2026-01-01.)
ArticleCitations
Large-Scale Generalized Linear Models for Longitudinal Data with Grouped Patterns of Unobserved Heterogeneity97
Drift Bursts in Pure Jumps: Detection and Application to Bitcoin67
Robust Signal Recovery for High-Dimensional Linear Log-Contrast Models with Compositional Covariates43
When are Google Data Useful to Nowcast GDP? An Approach via Preselection and Shrinkage35
High Frequency ANOVA that is Robust to Jumps, Microstructure Noise and Asynchronous Observation Times32
Quantifying Time-Varying Forecast Uncertainty and Risk for the Real Price of Oil29
Trend and Variance Adaptive Bayesian Changepoint Analysis and Local Outlier Scoring25
Instrumental Variable Estimation of Dynamic Treatment Effects on a Duration Outcome25
Discussion of “Co-citation and Co-authorship Networks of Statisticians” by Pengsheng Ji, Jiashun Jin, Zheng Tracy Ke, and Wanshan Li21
LASSO for Stochastic Frontier Models with Many Efficient Firms21
The Efficient Tail Hypothesis: An Extreme Value Perspective on Market Efficiency20
Robust Estimation for Threshold Autoregressive Moving-Average Models19
A Functional-Coefficient VAR Model for Dynamic Quantiles and Its Application to Constructing Nonparametric Financial Network19
Estimation of Leverage Effect: Kernel Function and Efficiency18
Comment: Dynamic Causal Effects in a Nonlinear World: The Good, the Bad, and the Ugly18
Dynamic Score-Driven Independent Component Analysis17
Procurements with Bidder Asymmetry in Cost and Risk-Aversion17
Avoiding Unintentionally Correlated Shocks in Proxy Vector Autoregressive Analysis17
Skilled Mutual Fund Selection: False Discovery Control Under Dependence16
Robust Reproducible Network Exploration16
Large Order-Invariant Bayesian VARs with Stochastic Volatility15
Discussion of “Co-citation and Co-authorship Networks of Statisticians”15
Does Climate Sensitivity Differ Across Regions? A Varying–Coefficient Approach15
A Robust Approach to Heteroscedasticity, Error Serial Correlation and Slope Heterogeneity in Linear Models with Interactive Effects for Large Panel Data14
Bonferroni Type Tests for Return Predictability and the Initial Condition14
Panel Quantile GARCH Models under Homogeneity14
On the Combination of Naive and Mean-Variance Portfolio Strategies13
Fixed Effects Estimation of Spatial Panel Model with Missing Responses: An Application to US State Tax Competition13
Getting the ROC into Sync12
Prediction Using Many Samples with Models Possibly Containing Partially Shared Parameters12
Dynamic Modeling via Autoregressive Conditional GB2 for Cross-Sectional Maxima of Financial Time Series Data12
Investigating Growth-at-Risk Using a Multicountry Nonparametric Quantile Factor Model12
Discussion of “Imputation of Counterfactual Outcomes when the Errors are Predictable” by Sílvia Gonçalves and Serena Ng11
Associate Editors11
Bounding Omitted Variable Bias Using Auxiliary Data: With an Application to Estimate Neighborhood Effects11
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
Graphical Assistant Grouped Network Autoregression Model: A Bayesian Nonparametric Recourse10
Rejoinder10
Reconciling Trends in Male Earnings Volatility: Evidence from the SIPP Survey and Administrative Data10
Inference for Nonparametric High-Frequency Estimators with an Application to Time Variation in Betas10
A Design-Based Perspective on Synthetic Control Methods9
A Scalable Frequentist Model Averaging Method9
Sectoral Uncertainty: A Hierarchical-Volatility Approach9
Multi-Threshold Structural Equation Model9
Correcting for Endogeneity in Models with Bunching9
Identification of SVAR Models by Combining Sign Restrictions With External Instruments8
High-Dimensional Quantile Vector Autoregression with Influencers and Communities8
Multiple-Attribute Lorenz Functions and Gini Indices: A Measure Transportation Approach8
Learning Human Activity Patterns Using Clustered Point Processes With Active and Inactive States8
Nonparametric Option Pricing with Generalized Entropic Estimators8
Dynamic CoVaR Modeling and Estimation8
Statistical Identification of Independent Shocks with Kernel-based Maximum Likelihood Estimation and an Application to the Global Crude Oil Market8
Extending the Scope of Inference About Predictive Ability to Machine Learning Methods8
Proper Scoring Rules for Evaluating Density Forecasts with Asymmetric Loss Functions8
Probabilistic Forecast Reconciliation under the Gaussian Framework7
Theory Coherent Shrinkage of Time-Varying Parameters in VARs7
Determination of the Effective Cointegration Rank in High-Dimensional Time-Series Predictive Regressions7
Binary Outcomes and Linear Interactions 7
Circularly Projected Common Factors for Grouped Data7
Factor Modeling for High-Dimensional Functional Time Series7
Context-Dependent Heterogeneous Preferences: A Comment on Barseghyan and Molinari (2023)7
Policy Analysis Using Multilevel Regression Models with Group Interactive Fixed Effects7
Forecasting Inflation Using Economic Narratives7
An Improved Divide-and-Conquer Approach to Estimating Mean Functional, with Application to Average Treatment Effect Estimation7
Discussion of “Risk Preference Types, Limited Consideration, and Welfare” by Levon Barseghyan and Francesca Molinari7
A Neural Phillips Curve and a Deep Output Gap6
Tests for Jumps in Yield Spreads6
Model Checking in Partially Linear Spatial Autoregressive 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
Reduced Rank Spatio-Temporal Models6
Optimal Model Averaging of Mixed-Data Kernel-Weighted Spline Regressions6
Inference with High-Dimensional Weak Instruments and the New Keynesian Phillips Curve6
Spatial Correlation Robust Inference in Linear Regression and Panel Models6
Consistent Estimation of Distribution Functions under Increasing Concave and Convex Stochastic Ordering6
Least Squares Estimation in Nonstationary Nonlinear Cohort Panels with Learning from Experience6
Estimation of Matrix Exponential Unbalanced Panel Data Models with Fixed Effects: An Application to US Outward FDI Stock6
Nonparametric, Stochastic Frontier Models with Multiple Inputs and Outputs6
Survey Response Behavior as a Proxy for Unobserved Ability: Theory and Evidence6
Reconciled Estimates of Monthly GDP in the United States6
Estimating Trends in Male Earnings Volatility with the Panel Study of Income Dynamics6
Fast Variational Bayes Methods for Multinomial Probit Models6
Partially Linear Single-Index Models and Functional Principal Component Analysis of Spatially and Temporally Indexed Point Processes6
Partial Effects in Time-Varying Linear Transformation Panel Models with Endogeneity*6
Reduced-Rank Envelope Vector Autoregressive Model6
Forecasting a Nonstationary Time Series Using a Mixture of Stationary and Nonstationary Factors as Predictors6
News-Driven Uncertainty Fluctuations5
Change-Point Detection in Time Series Using Mixed Integer Programming*5
Inference on Consensus Ranking of Distributions5
Inference in a Class of Optimization Problems: Confidence Regions and Finite Sample Bounds on Errors in Coverage Probabilities5
Extreme Changes in Changes5
A Modified Randomization Test for the Level of Clustering5
Discussion of: “Dynamic Causal Effects in a Nonlinear World: the Good, the Bad, and the Ugly”5
Mitigating Process Distortion While Preserving Accounting Relations in Hierarchical Time Series5
Large Skew-t Copula Models and Asymmetric Dependence in Intraday Equity Returns5
Estimating Latent-Variable Panel Data Models Using Parameter-Expanded SEM Methods5
Bayesian Dynamic Matrix Factor Models5
Trends in Earnings Volatility Using Linked Administrative and Survey Data5
Culling the Herd of Moments with Penalized Empirical Likelihood5
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