Journal of Business & Economic Statistics

Papers
(The TQCC of Journal of Business & Economic Statistics is 4. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
Robust Signal Recovery for High-Dimensional Linear Log-Contrast Models with Compositional Covariates98
Instrumental Variable Estimation of Dynamic Treatment Effects on a Duration Outcome42
Large-Scale Generalized Linear Models for Longitudinal Data with Grouped Patterns of Unobserved Heterogeneity37
High Frequency ANOVA that is Robust to Jumps, Microstructure Noise and Asynchronous Observation Times35
Trend and Variance Adaptive Bayesian Changepoint Analysis and Local Outlier Scoring34
When are Google Data Useful to Nowcast GDP? An Approach via Preselection and Shrinkage30
Drift Bursts in Pure Jumps: Detection and Application to Bitcoin30
The Efficient Tail Hypothesis: An Extreme Value Perspective on Market Efficiency29
LASSO for Stochastic Frontier Models with Many Efficient Firms24
Comment: Dynamic Causal Effects in a Nonlinear World: The Good, the Bad, and the Ugly23
Avoiding Unintentionally Correlated Shocks in Proxy Vector Autoregressive Analysis22
A Functional-Coefficient VAR Model for Dynamic Quantiles and Its Application to Constructing Nonparametric Financial Network22
Estimation of Leverage Effect: Kernel Function and Efficiency21
Robust Estimation for Threshold Autoregressive Moving-Average Models20
Large Order-Invariant Bayesian VARs with Stochastic Volatility19
High-Dimensional Multivariate Realized Volatility Forecasting with Community Network Structure19
Robust Reproducible Network Exploration17
Estimation and Inference for Multi-Threshold Regression with Endogeneity17
Procurements with Bidder Asymmetry in Cost and Risk-Aversion17
On the Combination of Naive and Mean-Variance Portfolio Strategies16
Bounding Omitted Variable Bias Using Auxiliary Data: With an Application to Estimate Neighborhood Effects15
Prediction Using Many Samples with Models Possibly Containing Partially Shared Parameters15
Panel Quantile GARCH Models under Homogeneity14
Missing Endogenous Variables in Conditional Moment Restriction Models14
Bonferroni Type Tests for Return Predictability and the Initial Condition14
Fixed Effects Estimation of Spatial Panel Model with Missing Responses: An Application to US State Tax Competition13
Does Climate Sensitivity Differ Across Regions? A Varying–Coefficient Approach13
Getting the ROC into Sync13
Combining Forecasts – On Why Averaging Beats Optimal Linear Weights12
Associate Editors12
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
Encompassing and Progression Testing in High-Dimensions12
Graphical Assistant Grouped Network Autoregression Model: A Bayesian Nonparametric Recourse11
Discussion of “Imputation of Counterfactual Outcomes when the Errors are Predictable” by Sílvia Gonçalves and Serena Ng11
Semiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference11
Reconciling Trends in Male Earnings Volatility: Evidence from the SIPP Survey and Administrative Data11
A Network View on Portfolio Risk11
Correcting for Endogeneity in Models with Bunching10
Rejoinder10
Two-Sample Testing for Tail Copulas with an Application to Equity Indices10
Bayesian Methodology for Adaptive Sparsity and Shrinkage in Regression10
Statistical Identification of Independent Shocks with Kernel-based Maximum Likelihood Estimation and an Application to the Global Crude Oil Market10
Filtering and Smoothing in State-Space Models with Multiple Regimes10
A Design-Based Perspective on Synthetic Control Methods10
Discussion of Levon Barseghyan and Francesca Molinari’s “Risk Preference Types, Limited Consideration, and Welfare”10
Gradient Wild Bootstrap for Instrumental Variable Quantile Regressions with Weak and Few Clusters10
Sectoral Uncertainty: A Hierarchical-Volatility Approach9
Testing for Nontrivial Cointegration9
Closed Form Estimators for a Class of Semiparametric Multinomial Choice Models9
Identification of SVAR Models by Combining Sign Restrictions With External Instruments9
Nonparametric Option Pricing with Generalized Entropic Estimators9
A Scalable Frequentist Model Averaging Method9
Multiple-Attribute Lorenz Functions and Gini Indices: A Measure Transportation Approach9
Policy Analysis Using Multilevel Regression Models with Group Interactive Fixed Effects8
High-Dimensional Quantile Vector Autoregression with Influencers and Communities8
An Improved Divide-and-Conquer Approach to Estimating Mean Functional, with Application to Average Treatment Effect Estimation8
Extending the Scope of Inference About Predictive Ability to Machine Learning Methods8
Factor Modeling for High-Dimensional Functional Time Series8
Factor-Augmented Sparse MIDAS Regressions with an Application to Nowcasting8
Dynamic CoVaR Modeling and Estimation8
Multi-Horizon Uniform Superior Predictive Ability Revisited7
Determination of the Effective Cointegration Rank in High-Dimensional Time-Series Predictive Regressions7
Bootstrap Model Averaging7
Model Checking in Partially Linear Spatial Autoregressive Models7
Discussion of “Risk Preference Types, Limited Consideration, and Welfare” by Levon Barseghyan and Francesca Molinari7
Theory Coherent Shrinkage of Time-Varying Parameters in VARs7
CCE Estimation of Heterogeneous Panel Quantile Regression Models with Relatively Small  T7
Context-Dependent Heterogeneous Preferences: A Comment on Barseghyan and Molinari (2023)7
Fast Variational Bayes Methods for Multinomial Probit Models7
Binary Outcomes and Linear Interactions6
Inference with High-Dimensional Weak Instruments and the New Keynesian Phillips Curve6
Tests for Jumps in Yield Spreads6
Spatial Correlation Robust Inference in Linear Regression and Panel Models6
Forecasting Inflation Using Economic Narratives6
Consistent Estimation of Distribution Functions under Increasing Concave and Convex Stochastic Ordering6
Least Squares Estimation in Nonstationary Nonlinear Cohort Panels with Learning from Experience6
Partially Linear Single-Index Models and Functional Principal Component Analysis of Spatially and Temporally Indexed Point Processes6
Probabilistic Forecast Reconciliation under the Gaussian Framework6
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
Partial Effects in Time-Varying Linear Transformation Panel Models with Endogeneity5
Investigating Economic Uncertainty Using Stochastic Volatility in Mean VARs: The Importance of Model Size, Order-Invariance and Classification5
Discussion of: “Dynamic Causal Effects in a Nonlinear World: the Good, the Bad, and the Ugly”5
Inference in a Class of Optimization Problems: Confidence Regions and Finite Sample Bounds on Errors in Coverage Probabilities5
Reduced-Rank Envelope Vector Autoregressive Model5
Nonparametric, Stochastic Frontier Models with Multiple Inputs and Outputs5
A Modified Randomization Test for the Level of Clustering5
Estimating Latent-Variable Panel Data Models Using Parameter-Expanded SEM Methods5
Bayesian Dynamic Matrix Factor Models5
Change-Point Detection in Time Series Using Mixed Integer Programming5
Optimal Model Averaging of Mixed-Data Kernel-Weighted Spline Regressions5
Reduced Rank Spatio-Temporal Models5
Corporate Probability of Default: A Single-Index Hazard Model Approach5
Inference on Consensus Ranking of Distributions5
Homogeneity and Sparsity Analysis for High-Dimensional Panel Data Models5
Estimating Trends in Male Earnings Volatility with the Panel Study of Income Dynamics5
News-Driven Uncertainty Fluctuations4
Extreme Changes in Changes4
Functional-Coefficient Quantile Regression for Panel Data with Latent Group Structure4
Inflation Measurement with High-Frequency Data4
On Smooth Transition Interval Autoregressive Models4
Decomposition of Differences in Distribution under Sample Selection and the Gender Wage Gap4
Forecasting a Nonstationary Time Series Using a Mixture of Stationary and Nonstationary Factors as Predictors4
Large Skew-t Copula Models and Asymmetric Dependence in Intraday Equity Returns4
Factor Network Autoregressions4
Nonparametric Causal Inference with Functional Covariates4
Simple Transformation Approach to Difference-in-Differences Estimation for Panel Data4
A Smooth Shadow-Rate Dynamic Nelson-Siegel Model for Yields at the Zero Lower Bound4
Mitigating Process Distortion While Preserving Accounting Relations in Hierarchical Time Series4
Trends in Earnings Volatility Using Linked Administrative and Survey Data4
Estimating a Continuous Treatment Model with Spillovers: A Control Function Approach4
Invalid Proxies and Volatility Changes4
Regime-Specific Return Predictability in Quantiles4
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