Journal of Business & Economic Statistics
2011 - 2025
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.
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Volume 40, issue 4, 2022
- Narrative Restrictions and Proxies pp. 1415-1425

- Raffaella Giacomini, Toru Kitagawa and Matthew Read
- Comments on “Narrative Restrictions and Proxies” by Giacomini, Kitagawa, and Read pp. 1426-1428

- Juan F Rubio-Ramirez
- Comment on Giacomini, Kitagawa, and Read’s “Narrative Restrictions and Proxies” pp. 1429-1433

- Lutz Kilian
- Discussion of “Narrative Restrictions and Proxies” by Raffaella Giacomini, Toru Kitagawa, and Matthew Read pp. 1434-1437

- Mikkel Plagborg-Moller
- Narrative Restrictions and Proxies: Rejoinder pp. 1438-1441

- Raffaella Giacomini, Toru Kitagawa and Matthew Read
- Hedging With Linear Regressions and Neural Networks pp. 1442-1454

- Johannes Ruf and Weiguan Wang
- Nonparametric Specification Testing of Conditional Asset Pricing Models pp. 1455-1469

- Francisco Peñaranda, Juan M. Rodríguez-Poo and Stefan Sperlich
- High-Dimensional Mixed-Frequency IV Regression pp. 1470-1483

- Andrii Babii
- Bayesian Inference in Common Microeconometric Models With Massive Datasets by Double Marginalized Subsampling pp. 1484-1497

- Hang Qian
- Efficient Estimation for Models With Nonlinear Heteroscedasticity pp. 1498-1508

- Zhanxiong Xu and Zhibiao Zhao
- Fast Bayesian Record Linkage With Record-Specific Disagreement Parameters pp. 1509-1522

- Thomas Stringham
- Unified Principal Component Analysis for Sparse and Dense Functional Data under Spatial Dependency pp. 1523-1537

- Haozhe Zhang and Yehua Li
- Using Triples to Assess Symmetry Under Weak Dependence pp. 1538-1551

- Zacharias Psaradakis and Marián Vávra
- Multiple Testing and the Distributional Effects of Accountability Incentives in Education pp. 1552-1568

- Steven Lehrer, R. Vincent Pohl and Kyungchul Song
- Efficient Covariate Balancing for the Local Average Treatment Effect pp. 1569-1582

- Phillip Heiler
- A Unified Framework for Estimation in Lognormal Models pp. 1583-1595

- Fengqing Zhang and Jiangtao Gou
- Conditional Moments of Noncausal Alpha-Stable Processes and the Prediction of Bubble Crash Odds pp. 1596-1616

- Sébastien Fries
- Inward and Outward Network Influence Analysis pp. 1617-1628

- Yujia Wu, Wei Lan, Tao Zou and Chih-Ling Tsai
- Collaborative Filtering With Awareness of Social Networks pp. 1629-1641

- Xianshi Yu, Ting Li, Ningchen Ying and Bing-Yi Jing
- Interpretable Sparse Proximate Factors for Large Dimensions pp. 1642-1664

- Markus Pelger and Ruoxuan Xiong
- A Synthetic Regression Model for Large Portfolio Allocation pp. 1665-1677

- Gaorong Li, Lei Huang, Jin Yang and Wenyang Zhang
- Scalable Bayesian Estimation in the Multinomial Probit Model pp. 1678-1690

- Rubén Loaiza-Maya and Didier Nibbering
- A Note on Distributed Quantile Regression by Pilot Sampling and One-Step Updating pp. 1691-1700

- Rui Pan, Tunan Ren, Baishan Guo, Feng Li, Guodong Li and Hansheng Wang
- LATE With Missing or Mismeasured Treatment pp. 1701-1717

- Rossella Calvi, Arthur Lewbel and Denni Tommasi
- Robust Inference for Nonstationary Time Series with Possibly Multiple Changing Periodic Structures pp. 1718-1731

- Shouxia Wang, Tao Huang, Jinhong You and Ming-Yen Cheng
- High-Dimensional Model-Assisted Inference for Local Average Treatment Effects With Instrumental Variables pp. 1732-1744

- Baoluo Sun and Zhiqiang Tan
- Tests of Equal Forecasting Accuracy for Nested Models with Estimated CCE Factors* pp. 1745-1758

- Ovidijus Stauskas and Joakim Westerlund
- Varying Coefficient Mediation Model and Application to Analysis of Behavioral Economics Data pp. 1759-1771

- Yujie Liao, Jingyuan Liu, Donna L. Coffman and Runze Li
- Markov Switching Garch Models: Higher Order Moments, Kurtosis Measures, and Volatility Evaluation in Recessions and Pandemic pp. 1772-1783

- Maddalena Cavicchioli
- Semiparametric Spatial Autoregressive Panel Data Model with Fixed Effects and Time-Varying Coefficients pp. 1784-1802

- Xuan Liang, Jiti Gao and Xiaodong Gong
- Inference in Games Without Equilibrium Restriction: An Application to Restaurant Competition in Opening Hours pp. 1803-1816

- Erhao Xie
- A Unified Framework for Specification Tests of Continuous Treatment Effect Models pp. 1817-1830

- Wei Huang, Oliver Linton and Zheng Zhang
- Transformed Estimation for Panel Interactive Effects Models pp. 1831-1848

- Cheng Hsiao, Zhentao Shi and Qiankun Zhou
- Posterior Average Effects pp. 1849-1862

- Stéphane Bonhomme and Martin Weidner
- Local Composite Quantile Regression for Regression Discontinuity pp. 1863-1875

- Xiao Huang and Zhaoguo Zhan
- Asymptotically Valid Bootstrap Inference for Proxy SVARs pp. 1876-1891

- Carsten Jentsch and Kurt Lunsford
- Feature Screening for Massive Data Analysis by Subsampling pp. 1892-1903

- Xuening Zhu, Rui Pan, Shuyuan Wu and Hansheng Wang
- Fast and Flexible Bayesian Inference in Time-varying Parameter Regression Models pp. 1904-1918

- Niko Hauzenberger, Florian Huber, Gary Koop and Luca Onorante
Volume 40, issue 3, 2022
- Evidence of Uniform Inefficiency in Market Portfolios Based on Dominance Tests pp. 937-949

- Sofia Anyfantaki, Esfandiar Maasoumi, Jue Ren and Nikolas Topaloglou
- Quasi-Experimental Evaluation of Alternative Sample Selection Corrections pp. 950-964

- Robert Garlick and Joshua Hyman
- Estimation of Impulse Response Functions When Shocks Are Observed at a Higher Frequency Than Outcome Variables pp. 965-979

- Alexander Chudik and Georgios Georgiadis
- Testing for the Martingale Difference Hypothesis in Multivariate Time Series Models pp. 980-994

- Guochang Wang, Ke Zhu and Xiaofeng Shao
- Measuring Social Interaction Effects When Instruments Are Weak pp. 995-1006

- Stephen L. Ross and Zhentao Shi
- Targeting Predictors Via Partial Distance Correlation With Applications to Financial Forecasting pp. 1007-1019

- Kashif Yousuf and Yang Feng
- Semiparametric Quantile Models for Ascending Auctions With Asymmetric Bidders pp. 1020-1033

- Jayeeta Bhattacharya, Nathalie Gimenes and Emmanuel Guerre
- Nonparametric Instrumental Regression With Right Censored Duration Outcomes pp. 1034-1045

- Jad Beyhum, Jean-Pierre Florens and Ingrid Van Keilegom
- Multiway Cluster Robust Double/Debiased Machine Learning pp. 1046-1056

- Harold D. Chiang, Kengo Kato, Yukun Ma and Yuya Sasaki
- Comparing Predictive Accuracy in the Presence of a Loss Function Shape Parameter pp. 1057-1069

- Sander Barendse and Andrew Patton
- A Two-Step Method for Testing Many Moment Inequalities pp. 1070-1080

- Yuehao Bai, Andres Santos and Azeem Shaikh
- Quantile Correlation-based Variable Selection pp. 1081-1093

- Wenlu Tang, Jinhan Xie, Yuanyuan Lin and Niansheng Tang
- Machine Learning Time Series Regressions With an Application to Nowcasting pp. 1094-1106

- Andrii Babii, Eric Ghysels and Jonas Striaukas
- Testing for Common Trends in Nonstationary Large Datasets pp. 1107-1122

- Matteo Barigozzi and Lorenzo Trapani
- Estimation and Inference for Multi-Kink Quantile Regression pp. 1123-1139

- Wei Zhong, Chuang Wan and Wenyang Zhang
- Practical Methods for Modeling Weak VARMA Processes: Identification, Estimation and Specification With a Macroeconomic Application pp. 1140-1152

- Jean-Marie Dufour and Denis Pelletier
- Robust Inference for Diffusion-Index Forecasts With Cross-Sectionally Dependent Data pp. 1153-1167

- Min Seong Kim
- Transformation Models in High Dimensions pp. 1168-1178

- Sven Klaassen, Jannis Kueck and Martin Spindler
- Direct Semi-Parametric Estimation of the State Price Density Implied in Option Prices pp. 1179-1190

- Gianluca Frasso and Paul H.C. Eilers
- The Incidental Parameters Problem in Testing for Remaining Cross-Section Correlation pp. 1191-1203

- Artūras Juodis and Simon Reese
- High-Dimensional Elliptical Sliced Inverse Regression in Non-Gaussian Distributions pp. 1204-1215

- Xin Chen, Jia Zhang and Wang Zhou
- The PCDID Approach: Difference-in-Differences When Trends Are Potentially Unparallel and Stochastic pp. 1216-1233

- Marc Chan and Simon Sai Man Kwok
- High-Dimensional Interaction Detection With False Sign Rate Control pp. 1234-1245

- Daoji Li, Yinfei Kong, Yingying Fan and Jinchi Lv
- Binary Conditional Forecasts pp. 1246-1258

- Michael McCracken, Joseph T. McGillicuddy and Michael Owyang
- Local Polynomial Order in Regression Discontinuity Designs pp. 1259-1267

- Zhuan Pei, David S. Lee, David Card and Andrea Weber
- Heteroscedastic Proxy Vector Autoregressions pp. 1268-1281

- Helmut Lütkepohl and Thore Schlaak
- Imputations for High Missing Rate Data in Covariates Via Semi-supervised Learning Approach pp. 1282-1290

- Wei Lan, Xuerong Chen, Tao Zou and Chih-Ling Tsai
- SVARs Identification Through Bounds on the Forecast Error Variance pp. 1291-1301

- Alessio Volpicella
- Synthetic Control Estimation Beyond Comparative Case Studies: Does the Minimum Wage Reduce Employment? pp. 1302-1314

- David Powell
- State-Varying Factor Models of Large Dimensions pp. 1315-1333

- Markus Pelger and Ruoxuan Xiong
- Quasi-Bayesian Inference for Production Frontiers pp. 1334-1345

- Xiaobin Liu, Thomas Tao Yang and Yichong Zhang
- Realized Quantiles* pp. 1346-1361

- Timo Dimitriadis and Roxana Halbleib
- Standard Synthetic Control Methods: The Case of Using All Preintervention Outcomes Together With Covariates pp. 1362-1376

- Ashok Kaul, Stefan Klößner, Gregor Pfeifer and Manuel Schieler
- A Structural Model of Homophily and Clustering in Social Networks pp. 1377-1389

- Angelo Mele
- The Grid Bootstrap for Continuous Time Models pp. 1390-1402

- Yiu Lim Lui, Weilin Xiao and Jun Yu
- Estimating Monotone Concave Stochastic Production Frontiers pp. 1403-1414

- Mike G. Tsionas
Volume 40, issue 2, 2022
- Co-citation and Co-authorship Networks of Statisticians pp. 469-485

- Pengsheng Ji, Jiashun Jin, Zheng Tracy Ke and Wanshan Li
- Discussion of “Cocitation and Coauthorship Networks of Statisticians” pp. 486-490

- Haolei Weng and Yang Feng
- Data Come First: Discussion of “Co-citation and Co-authorship Networks of Statisticians” pp. 491-491

- David Donoho
- Discussion of “Co-citation and Co-authorship Networks of Statisticians” by Pengsheng Ji, Jiashun Jin, Zheng Tracy Ke, and Wanshan Li pp. 492-493

- Peter W. MacDonald, Elizaveta Levina and Ji Zhu
- Discussion of “Co-citation and Co-authorship Networks of Statisticians” pp. 494-496

- Xiaojing Zhu and Eric D. Kolaczyk
- Discussion of “Co-citation and Co-authorship Networks of Statisticians” pp. 497-498

- Joshua Daniel Loyal and Yuguo Chen
- Rejoinder: “Co-citation and Co-authorship Networks of Statisticians” pp. 499-504

- Pengsheng Ji, Jiashun Jin, Zheng Tracy Ke and Wanshan Li
- A Simple Asymptotically F-Distributed Portmanteau Test for Diagnostic Checking of Time Series Models With Uncorrelated Innovations pp. 505-521

- Xuexin Wang and Yixiao Sun
- Prediction of Extremal Expectile Based on Regression Models With Heteroscedastic Extremes pp. 522-536

- Wen Xu, Yanxi Hou and Deyuan Li
- Nonparametric Copula Estimation for Mixed Insurance Claim Data pp. 537-546

- Lu Yang
- Bayesian Model Averaging for Spatial Autoregressive Models Based on Convex Combinations of Different Types of Connectivity Matrices pp. 547-558

- Nicolas Debarsy and James LeSage
- Dynamic Discrete Mixtures for High-Frequency Prices pp. 559-577

- Leopoldo Catania, Roberto Di Mari and Paolo Santucci de Magistris
- Network-Based Clustering for Varying Coefficient Panel Data Models pp. 578-594

- Youquan Pei, Tao Huang, Heng Peng and Jinhong You
- Sequential Scaled Sparse Factor Regression pp. 595-604

- Zemin Zheng, Yang Li, Jie Wu and Yuchen Wang
- Instrument Validity Tests With Causal Forests pp. 605-614

- Helmut Farbmacher, Raphael Guber and Sven Klaassen
- Robust Estimation of Additive Boundaries With Quantile Regression and Shape Constraints pp. 615-628

- Yan Fang, Lan Xue, Carlos Martins-Filho and Lijian Yang
- LM Tests for Joint Breaks in the Dynamics and Level of a Long-Memory Time Series pp. 629-650

- Juan Dolado, Heiko Rachinger and Carlos Velasco
- Laplace Estimator of Integrated Volatility When Sampling Times Are Endogenous pp. 651-663

- Wenhao Cui
- Nonparametric Estimation and Testing for Positive Quadrant Dependent Bivariate Copula pp. 664-677

- Lu Lu and Sujit K. Ghosh
- A Stochastic Volatility Model With a General Leverage Specification pp. 678-689

- Leopoldo Catania
- Modeling Multivariate Time Series With Copula-Linked Univariate D-Vines pp. 690-704

- Zifeng Zhao, Peng Shi and Zhengjun Zhang
- Nonignorable Missing Data, Single Index Propensity Score and Profile Synthetic Distribution Function pp. 705-717

- Xuerong Chen, Denis Heng-Yan Leung and Jing Qin
- Assessing Causal Effects in a Longitudinal Observational Study With “Truncated” Outcomes Due to Unemployment and Nonignorable Missing Data pp. 718-729

- Michela Bia, Alessandra Mattei and Andrea Mercatanti
- Analyzing Subjective Well-Being Data with Misclassification pp. 730-743

- Ekaterina Oparina and Sorawoot Srisuma
- Adaptive Testing for Cointegration With Nonstationary Volatility pp. 744-755

- H. Peter Boswijk and Yang Zu
- Long Memory Factor Model: On Estimation of Factor Memories pp. 756-769

- Ying Lun Cheung
- A Factor-Based Estimation of Integrated Covariance Matrix With Noisy High-Frequency Data pp. 770-784

- Yucheng Sun and Wen Xu
- Model Averaging for Nonlinear Regression Models pp. 785-798

- Yang Feng, Qingfeng Liu, Qingsong Yao and Guoqing Zhao
- Multifrequency-Band Tests for White Noise Under Heteroscedasticity pp. 799-814

- Mengya Liu, Fukang Zhu and Ke Zhu
- Structural Equation Model Averaging: Methodology and Application pp. 815-828

- Loraine Seng and Jialiang Li
- Fixed-k Inference for Conditional Extremal Quantiles pp. 829-837

- Yuya Sasaki and Yulong Wang
- Locally Stationary Quantile Regression for Inflation and Interest Rates pp. 838-851

- Zhuying Xu, Seonjin Kim and Zhibiao Zhao
- Risk Analysis via Generalized Pareto Distributions pp. 852-867

- Yi He, Liang Peng, Dabao Zhang and Zifeng Zhao
- A Robust Generalization of the Rao Test pp. 868-879

- Ayanendranath Basu, Abhik Ghosh, Nirian Martin and Leandro Pardo
- Semiparametric Tests for the Order of Integration in the Possible Presence of Level Breaks pp. 880-896

- Fabrizio Iacone, Morten Nielsen and Robert Taylor
- Bayesian Approach to Lorenz Curve Using Time Series Grouped Data pp. 897-912

- Genya Kobayashi, Yuta Yamauchi, Kazuhiko Kakamu, Yuki Kawakubo and Shonosuke Sugasawa
- The Effect of Dependence on European Market Risk. A Nonparametric Time Varying Approach pp. 913-923

- Jone Ascorbebeitia, Eva Ferreira and Susan Orbe
- The Locally Gaussian Partial Correlation pp. 924-936

- Håkon Otneim and Dag Tjøstheim
Volume 40, issue 1, 2022
- A Linear Estimator for Factor-Augmented Fixed-T Panels With Endogenous Regressors pp. 1-15

- Artūras Juodis and Vasilis Sarafidis
- A Bayesian Quantile Time Series Model for Asset Returns pp. 16-27

- Jim E. Griffin and Gelly Mitrodima
- Autoregressive Model With Spatial Dependence and Missing Data pp. 28-34

- Jing Zhou, Jin Liu, Feifei Wang and Hansheng Wang
- Network Competition and Team Chemistry in the NBA pp. 35-49

- William Horrace, Hyunseok Jung and Shane Sanders
- Adaptive Inference in Heteroscedastic Fractional Time Series Models pp. 50-65

- Giuseppe Cavaliere, Morten Nielsen and Robert Taylor
- A New Approach to Dating the Reference Cycle pp. 66-81

- Maximo Camacho, María Dolores Gadea and Ana Gómez-Loscos
- Semiparametric Tail Index Regression pp. 82-95

- Rui Li, Chenlei Leng and Jinhong You
- High-Dimensional Dynamic Covariance Matrices With Homogeneous Structure pp. 96-110

- Yuan Ke, Heng Lian and Wenyang Zhang
- Treatment Versus Regime Effects of Carrots and Sticks pp. 111-127

- Patrick Arni, Gerard J. van den Berg and Rafael Lalive
- Estimating Jump Activity Using Multipower Variation pp. 128-140

- Aleksey Kolokolov
- Semiparametric Estimation of a Censored Regression Model Subject to Nonparametric Sample Selection pp. 141-151

- Zhewen Pan, Xianbo Zhou and Yahong Zhou
- Reliable Real-Time Output Gap Estimates Based on a Modified Hamilton Filter pp. 152-168

- Josefine Quast and Maik Wolters
- A Nonparametric Nonclassical Measurement Error Approach to Estimating Intergenerational Mobility Elasticities pp. 169-185

- Yonghong An, Le Wang and Ruli Xiao
- In Search of a Job: Forecasting Employment Growth Using Google Trends pp. 186-200

- Daniel Borup and Erik Christian Schütte
- Mean-Structure and Autocorrelation Consistent Covariance Matrix Estimation pp. 201-215

- Kin Wai Chan
- Community Detection in Partial Correlation Network Models pp. 216-226

- Christian Brownlees, Guðmundur Guðmundsson and Gábor Lugosi
- Counterfactual Analysis and Inference With Nonstationary Data pp. 227-239

- Ricardo Masini and Marcelo Medeiros
- Counterfactual Treatment Effects: Estimation and Inference pp. 240-255

- Yu-Chin Hsu, Tsung-Chih Lai and Robert Lieli
- Latent Dirichlet Analysis of Categorical Survey Responses pp. 256-271

- Evan Munro and Serena Ng
- On the Sources of Information in the Moment Structure of Dynamic Macroeconomic Models pp. 272-284

- Nikolay Iskrev
- Leverage, Asymmetry, and Heavy Tails in the High-Dimensional Factor Stochastic Volatility Model pp. 285-301

- Mengheng Li and Marcel Scharth
- Large-Dimensional Factor Analysis Without Moment Constraints pp. 302-312

- Yong He, Xinbing Kong, Long Yu and Xinsheng Zhang
- Estimation of Conditional Average Treatment Effects With High-Dimensional Data pp. 313-327

- Qingliang Fan, Yu-Chin Hsu, Robert Lieli and Yichong Zhang
- Identification of Structural Vector Autoregressions by Stochastic Volatility pp. 328-341

- Dominik Bertsche and Robin Braun
- Nonparametric Estimation and Conformal Inference of the Sufficient Forecasting With a Diverging Number of Factors pp. 342-354

- Xiufan Yu, Jiawei Yao and Lingzhou Xue
- Substitution Bias in Multilateral Methods for CPI Construction pp. 355-369

- Walter Diewert and Kevin Fox
- Prediction in Locally Stationary Time Series pp. 370-381

- Holger Dette and Weichi Wu
- Nonlinear Predictability of Stock Returns? Parametric Versus Nonparametric Inference in Predictive Regressions pp. 382-397

- Matei Demetrescu and Benjamin Hillmann
- A Projective Approach to Conditional Independence Test for Dependent Processes pp. 398-407

- Yeqing Zhou, Yaowu Zhang and Liping Zhu
- Homogeneity and Structure Identification in Semiparametric Factor Models pp. 408-422

- Chaohui Guo and Jialiang Li
- Can GDP Measurement Be Further Improved? Data Revision and Reconciliation pp. 423-431

- Jan Jacobs, Samad Sarferaz, Jan-Egbert Sturm and Simon van Norden
- Direct and Indirect Effects based on Changes-in-Changes pp. 432-443

- Martin Huber, Mark Schelker and Anthony Strittmatter
- Functional Linear Regression: Dependence and Error Contamination pp. 444-457

- Cheng Chen, Shaojun Guo and Xinghao Qiao
- Modeling Tail Index With Autoregressive Conditional Pareto Model pp. 458-466

- Zhouyu Shen, Yu Chen and Ruxin Shi
- Correction pp. 467-467

- The Editors
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