Econometric Reviews
1997 - 2026
Current editor(s): Dr. Essie Maasoumi From Taylor & Francis Journals Bibliographic data for series maintained by (). Access Statistics for this journal.
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Volume 45, issue 9, 2026
- A multiway cluster-robust test for stochastic dominance pp. 1249-1269

- Yaqian Wu, Qingliang Fan and Yu-Chin Hsu
- Verifying the existence of maximum likelihood estimates for generalized linear models pp. 1270-1305

- Sergio Correia, Paulo Guimaraes and Tom Zylkin
- Inference in unbalanced panel data models with interactive fixed effects pp. 1306-1337

- Daniel Czarnowske and Amrei Stammann
- Latent factor models with functional single-index loadings pp. 1338-1363

- Jean-David Fermanian and Léonard Thélot
- Threshold factor-augmented vector autoregressive models pp. 1364-1387

- Gao Chen and Wen Xu
- Addressing attrition in nonlinear dynamic panel data models with an application to health pp. 1388-1398

- Alyssa Carlson and Anastasia Semykina
Volume 45, issue 8, 2026
- Predictive extremile regression with persistent covariates: IVX-ER approach pp. 1046-1082

- Daiqing Xi and Tianxiao Pang
- Consistent nonparametric test for structural change in time series models via Cusum and Fourier transform pp. 1083-1114

- Weiqiang Liu and Junfeng Li
- Testing identifying assumptions in Tobit models pp. 1115-1142

- Santiago Acerenza, Otavio Bartalotti and Federico Veneri
- Dimension reduction and testing of functional inequalities conditional on estimated functions pp. 1143-1175

- Andres Aradillas-Lopez
- Difference-in-differences with as few as two cross-sectional units – A new perspective to the democracy – growth debate pp. 1176-1197

- Gilles Boevi Koumou and Emmanuel Selorm Tsyawo
- Factor multivariate stochastic volatility models of high dimension pp. 1198-1229

- Benjamin Poignard and Manabu Asai
- Identification by non-Gaussianity in structural smooth transition vector autoregressive models pp. 1230-1248

- Savi Virolainen
Volume 45, issue 7, 2026
- A practitioner’s guide to AI+ML in portfolio investing pp. 876-911

- Mehmet Caner and Qingliang Fan
- Detecting weak identification by bootstrap pp. 912-928

- Zhaoguo Zhan
- K-means panel data clustering in the presence of small groups pp. 929-975

- Mikihito Nishi
- Simulation-based multiple testing for many non-nested multivariate models pp. 976-995

- Lynda Khalaf and Florian Richard
- GCov-based portmanteau test pp. 996-1024

- Joann Jasiak and Aryan Manafi Neyazi
- Structural estimation of firm productivity with endogenous determinants pp. 1025-1045

- Minjie Huang, Shunan Zhao and Man Jin
Volume 45, issue 6, 2026
- Preface to the Practitioner’s Guide Series pp. 773-773

- Yuya Sasaki
- A practitioner’s guide to panel data quantile regression pp. 774-799

- Antonio Galvao and Carlos Lamarche
- Testing collusion and cooperation in binary choice games pp. 800-825

- Erhao Xie
- A regularization approach to optimizing large portfolios under asymmetries in returns and risk attitudes pp. 826-855

- Mohamed Doukali, N’Golo Kone and Abderrahim Taamouti
- Inference on nonparametric panel data models with fixed effects and censored dependent variables pp. 856-875

- Jangsu Yoon
Volume 45, issue 5, 2026
- Aggregation trees pp. 634-659

- Riccardo Di Francesco
- High-dimensional time-varying coefficient estimation in diffusion models pp. 660-680

- Donggyu Kim, Minseog Oh and Minseok Shin
- Partial identification of individual-level parameters using aggregate data in a nonparametric model pp. 681-702

- Sarah Moon
- Many covariate and cluster robust estimation and inference pp. 703-732

- Stanislav Anatolyev and Cheuk Fai Ng
- High-dimensional banded vector autoregressions subject to structural breaks pp. 733-759

- Bo Ling and Yundong Tu
- A simple reformulation of the common correlated effects model pp. 760-772

- Nicholas Brown, Peter Schmidt and Jeffrey Wooldridge
Volume 45, issue 4, 2026
- Nonparametric estimation of conditional densities by generalized random forests pp. 459-481

- Federico Zincenko
- Conical FDH estimators for testing returns to scale and making inference about changes in productivity pp. 482-517

- Alois Kneip, Leopold Simar and Paul Wilson
- A quantile-based nonadditive fixed effects model pp. 518-536

- Xin Liu
- Genuinely unbalanced spatial panel data models with fixed effects: M-estimation and inference with an application to FDI inflows pp. 537-563

- Xiaoyu Meng and Zhenlin Yang
- A simple method to account for measurement errors in revealed preference tests pp. 564-587

- Per Hjertstrand
- A sequential test procedure for the choice of the number of regimes in multivariate nonlinear models pp. 588-610

- Andrea Bucci
- Shrinkage and noniterative estimation for moving average models with structural breaks pp. 611-633

- Bo Ling and Yundong Tu
Volume 45, issue 3, 2026
- Double/debiased machine learning for semiparametric synthetic difference-in-differences models pp. 303-319

- Zihan Zhang, Lianyan Fu and Dehui Wang
- Semiparametric estimation of sample selection model with Box-Cox transformation pp. 320-330

- Xinglei Deng and Junjian Zhang
- Modeling asymmetric tail dependence in a non-Gaussian framework pp. 331-359

- Sulkhan Chavleishvili
- Multivariate distribution regression pp. 360-380

- Jonas Meier
- Attenuation bias vs selection bias: a multi-outcome three-stage model pp. 381-405

- Andrés Ramírez–Hassan and Tatiana Caly-Amador
- Copula-based expectile regression: estimation and inference pp. 406-427

- Mohamed Doukali, Taoufik Bouezmarni and Karim Oualkacha
- Nuisance parameters, modified profile likelihood and Jacobian prior pp. 428-458

- Guangjie Li and Roberto Leon-Gonzalez
Volume 45, issue 2, 2026
- Correction pp. i-i

- The Editors
- Dynamic spatial panel data models with interactive fixed effects: M-estimation and inference under fixed or relatively small T pp. 112-147

- Liyao Li, Ke Miao and Zhenlin Yang
- Spatial weights matrix selection and model averaging for multivariate spatial autoregressive models pp. 148-178

- Xin Miao, Fang Fang, Xuening Zhu and Hansheng Wang
- Testing the impacts on inefficiency in a semiparametric stochastic frontier model pp. 179-205

- Jen-Che Liao, Xiaojun Song and Hung-Jen Wang
- A panel quantile model via correlated random effects approach for testing pecking order theory pp. 206-232

- Zongwu Cai, Meng Shi, Wuqing Wu and Yue Zhao
- Modeling and backtesting systemic risk measures: the case of CoES pp. 233-258

- Liheng Lei, Xuhui Wang, Zaichao Du and Xin Zhou
- Testing for average treatment effects in choice-based samples pp. 259-282

- Kentaro Akashi and Tetsushi Horie
- Almost dominance: inference and application pp. 283-302

- Xiaojun Song and Zhenting Sun
Volume 45, issue 1, 2026
- Fellows and scholars of Econometric Reviews, 2025 pp. i-i

- Yuya Sasaki
- Awards, 2025 pp. 1-1

- The Editors
- Regression adjustment for estimating distributional treatment effects in randomized controlled trials pp. 2-17

- Tatsushi Oka, Shota Yasui, Yuta Hayakawa and Undral Byambadalai
- On structurally grouped approximate factor models pp. 18-49

- Yundong Tu and Baiqing Wang
- Copula joint estimation for spatial dynamic panel data models with endogeneity issues pp. 50-77

- Yanli Lin and Yichun Song
- Robust determination for the number of factors in constrained approximate factor models pp. 78-92

- Rubing Liang, Yitian Liu, Pengyue Sun and Qiang Xia
- A projection-based approach for interactive fixed effects panel data models pp. 93-110

- Georg Keilbar, Juan M. Rodriguez-Poo, Alexandra Soberón and Weining Wang
- Correction pp. 111-111

- The Editors
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