Journal of Business & Economic Statistics
2011 - 2026
Continuation of Journal of Business & Economic Statistics. Current editor(s): Eric Sampson, Rong Chen and Shakeeb Khan From Taylor & Francis Journals Bibliographic data for series maintained by Chris Longhurst (). Access Statistics for this journal.
Is something missing from the series or not right? See the RePEc data check for the archive and series.
Volume 44, issue 2, 2026
- Envelope Matrix Autoregressive Models pp. 397-412

- S. Yaser Samadi and Tharindu P. De Alwis
- Adaptive Group LASSO for the GARCH-MIDAS Model pp. 413-424

- Zhiyuan Pan, Yudong Wang, Juan Huang and Yaojie Zhang
- Homogeneity Pursuit in Clustered Data Analysis When Cluster Sizes Are Small pp. 425-436

- Yan Sun, Liming Tan, Wenyang Zhang and Zhenyu Zhu
- Quasi-Score Matching Estimation for Spatial Autoregressive Model with Random Weights Matrix and Regressors pp. 437-449

- Xuan Liang and Tao Zou
- Fixed Effects Estimation of Spatial Panel Model with Missing Responses: An Application to US State Tax Competition pp. 450-464

- Xiaoyu Meng and Zhenlin Yang
- Seasonal Adjustment of Time Series Observed at Mixed Frequencies Using Singular Value Decomposition with Wavelet Thresholding pp. 465-481

- Shiyuan He, Wei Lin, Tucker McElroy and Jianhua Z. Huang
- Sequential Monitoring for Changes in Dynamic Semiparametric Risk Models pp. 482-496

- Lajos Horváth, Emese Lazar, Zhenya Liu, Shixuan Wang and Xiaohan Xue
- The Efficient Tail Hypothesis: An Extreme Value Perspective on Market Efficiency pp. 497-510

- Junshu Jiang, Jordan Richards, Raphaël Huser and David Bolin
- Doubly Robust Uniform Confidence Bands for Group-Time Conditional Average Treatment Effects in Difference-in-Differences pp. 511-523

- Shunsuke Imai, Lei Qin and Takahide Yanagi
- Extreme Quantile Treatment Effects under Endogeneity pp. 524-536

- Yuya Sasaki and Yulong Wang
- Random Walk Forecasts of Stationary Processes Have Low Bias pp. 537-546

- Kurt G. Lunsford and Kenneth D. West
- Theory Coherent Shrinkage of Time-Varying Parameters in VARs pp. 547-559

- Andrea Renzetti
- A Generalized Poisson-Pseudo Maximum Likelihood Estimator pp. 560-573

- Ohyun Kwon, Jangsu Yoon and Yoto V. Yotov
- Forecast Selection in Unstable Environments pp. 574-586

- Stefan Richter and Ekaterina Smetanina
- Time-Varying Group Unobserved Heterogeneity in Finance pp. 587-600

- Xuan Leng, Elvira Sojli, Wing Wah Tham and Wendun Wang
- Wild Bootstrap Inference with Multiway Clustering and Serially Correlated Time Effects pp. 601-612

- Ulrich Hounyo and Jiahao Lin
- On Smooth Transition Interval Autoregressive Models pp. 613-625

- Kai Yang, Guangting Zhang and Dehui Wang
- Double Dynamic Max-Copula Model with Application to Financial Time Series pp. 626-639

- Yan Fang, Xiang Xiao, Ping Dong, Gaoang Chen, Jinhong You and Lan Xue
- Mitigating Process Distortion While Preserving Accounting Relations in Hierarchical Time Series pp. 640-651

- Tucker S. McElroy, Osbert C. Pang and Baoline Chen
- High Frequency ANOVA that is Robust to Jumps, Microstructure Noise and Asynchronous Observation Times pp. 652-664

- Dachuan Chen, Haoning Chen, Long Feng and Siyu Xie
- Network-Assisted High-Dimensional Factor Model Estimation pp. 665-676

- Wanwan Liang, Xinyan Fan, Ben Wu and Bo Zhang
- The Factor Structure of Disagreement pp. 677-690

- Edward Herbst and Fabian Winkler
- An Adaptive Residual-Based Test for Factor Structure pp. 691-702

- Yufeng Mao and Yayi Yan
- Determination of the Effective Cointegration Rank in High-Dimensional Time-Series Predictive Regressions pp. 703-717

- Puyi Fang, Zhaoxing Gao and Ruey S. Tsay
- Robust Conditional Kurtosis and the Cross-Section of International Stock Returns pp. 718-730

- Ruifeng Liu, Alex Maynard and Ilias Tsiakas
Volume 44, issue 1, 2026
- Nonparametric Quantile Regression and Uniform Inference with Unknown Error Distribution pp. 1-12

- Haoze Hou, Wei Huang and Zheng Zhang
- Does Climate Sensitivity Differ Across Regions? A Varying–Coefficient Approach pp. 13-23

- Heather Anderson, Jiti Gao, Farshid Vahid, Wei Wei and Yang Yang
- Neural Tangent Kernel in Implied Volatility Forecasting: A Nonlinear Functional Autoregression Approach pp. 24-38

- Ying Chen, Maria Grith and Hannah L. H. Lai
- Common Components Structural VARs pp. 39-52

- Mario Forni, Luca Gambetti, Marco Lippi and Luca Sala
- Nonparametric Causal Inference with Functional Covariates pp. 53-66

- Daisuke Kurisu, Taisuke Otsu and Mengshan Xu
- Double Debiased Machine Learning Nonparametric Inference with Continuous Treatments pp. 67-79

- Kyle Colangelo and Ying-Ying Lee
- Estimating State Price Densities Implied by American Options pp. 80-93

- Zhongjun Qu and Guang Zhang
- GLHT for High-Dimensional Covariance Matrices: A Normal-Reference Approach pp. 94-105

- Jingyi Wang, Tianming Zhu and Jin-Ting Zhang
- Factor Modeling for High-Dimensional Functional Time Series pp. 106-119

- Shaojun Guo, Xinghao Qiao, Qingsong Wang and Zihan Wang
- The Effects of Temporal Aggregation on MIDAS Regressions pp. 120-133

- Luis Martins and Paulo Teles
- Unified Inference for Panel Autoregressive Models With Unobserved Grouped Heterogeneity pp. 134-147

- Wenxin Huang, Liangjun Su and Yiru Wang
- Cluster GARCH pp. 148-161

- Chen Tong, Peter Hansen and Ilya Archakov
- A Functional-Coefficient VAR Model for Dynamic Quantiles and Its Application to Constructing Nonparametric Financial Network pp. 162-176

- Zongwu Cai, Xiyuan Liu and Liangjun Su
- Selection Bias Adjustment by Functional Transfer Learning via Reproducing Kernel Hilbert Space pp. 177-187

- Zhonglei Wang, Xiaojun Mao, Jae Kwang Kim and Hengfang Wang
- Inference in Semiparametric Formation Models for Directed Networks pp. 188-202

- Lianqiang Qu, Lu Chen, Ting Yan and Yuguo Chen
- Identification of Dynamic Discrete Choice Models with Hyperbolic Discounting Using a Terminating Action pp. 203-214

- Chao Wang, Stefan Weiergraeber and Ruli Xiao
- How Important Is Selection into Full-Time and Part-Time Employment? A New Panel Data Sample Selection Model for Estimating Wage Profiles pp. 215-226

- Jim Been, Marike Knoef and Heike Vethaak
- Regressions under Adverse Conditions pp. 227-241

- Timo Dimitriadis and Yannick Hoga
- Robust Trend Estimation for Strongly Persistent Data with Unobserved Memory pp. 242-254

- Tobias Hartl
- Change-Point Detection for Object-Valued Time Series pp. 255-269

- Yi Zhang, Changbo Zhu and Xiaofeng Shao
- Panel Quantile GARCH Models under Homogeneity pp. 270-281

- Qianqian Zhu, Wenyu Li, Wenyang Zhang and Guodong Li
- Local Predictability in High Dimensions pp. 282-296

- Philipp Adämmer, Sven Lehmann and Rainer Alexander Schüssler
- Detecting Giver and Receiver Spillover Groups in Large Vector Autoregressions pp. 297-308

- Guðmundur Stefán Guðmundsson
- Dynamic Conditional Correlations with Partial Information Pooling pp. 309-320

- Bram van Os and Dick van Dijk
- Social Interactions with Endogeneity pp. 321-333

- Zhongjian Lin and Xun Tang
- Least Squares Estimation in Nonstationary Nonlinear Cohort Panels with Learning from Experience pp. 334-347

- Alexander Mayer and Michael Massmann
- Uniform Inference on High-Dimensional Spatial Panel Networks pp. 348-359

- Victor Chernozhukov, Chen Huang and Weining Wang
- Drift Bursts in Pure Jumps: Detection and Application to Bitcoin pp. 360-371

- Aleksey Kolokolov
- Matrix-based Prediction Approach for Intraday Instantaneous Volatility Vector pp. 372-382

- Sung Hoon Choi and Donggyu Kim
- Inflation Measurement with High-Frequency Data pp. 383-396

- Kevin Fox, Peter Levell and Martin O’Connell
| |