Econometric Reviews
1997 - 2025
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 43, issue 10, 2024
- Lag order selection for long-run variance estimation in econometrics pp. 774-795

- Marco Morales
- Selecting the number of factors in approximate factor models using group variable regularization pp. 796-823

- Maurizio Daniele
- Estimation of random functions proxying for unobservables pp. 824-847

- Jerome M. Krief and Christopher F. Parmeter
- Editorial pp. 848-849

- Yuya Sasaki
- Best Paper Award pp. 850-850

- Yuya Sasaki
Volume 43, issue 9, 2024
- A one-covariate-at-a-time multiple testing approach to variable selection in additive models pp. 671-712

- Liangjun Su, Thomas Tao Yang, Yonghui Zhang and Qiankun Zhou
- Non linear correlated random effects models with endogeneity and unbalanced panels pp. 713-732

- Michael Bates, Leslie Papke and Jeffrey Wooldridge
- Lassoed boosting and linear prediction in the equities market pp. 733-751

- Huang Xiao
- On the estimation of quantile treatment effects using a semiparametric propensity score pp. 752-773

- Mingfeng Zhan and Karen X. Yan
Volume 43, issue 8, 2024
- Optimal smoothing parameter selection in single-index model derivative estimation pp. 559-580

- Shuang Yao and Guannan Liu
- Tricks with metrics: combining statistics for improved inference in regression analysis pp. 581-594

- Pierre Nguimkeu
- Estimation of counterfactual distributions with a continuous endogenous treatment pp. 595-637

- Santiago Pereda-Fernández
- Common and idiosyncratic conditional volatility: Theory and empirical evidence from electricity prices pp. 638-670

- Francisco Blasques, Enzo D’Innocenzo and Siem Jan Koopman
Volume 43, issue 7, 2024
- Panel threshold model with covariate-dependent thresholds and unobserved individual-specific threshold effects pp. 452-489

- Lixiong Yang, I-Po Chen, Chingnun Lee and Mingjian Ren
- Smoothed gradient least squares estimator for linear threshold models pp. 490-517

- Yiguo Sun
- Inference in the nonparametric stochastic frontier model pp. 518-539

- Christopher F. Parmeter, Leopold Simar, Ingrid Van Keilegom and Valentin Zelenyuk
- Testing for homogeneous treatment effects in linear and nonparametric instrumental variable models pp. 540-557

- Jad Beyhum, Jean-Pierre Florens, Elia Lapenta and Ingrid Van Keilegom
Volume 43, issue 6, 2024
- Estimation of average treatment effects for massively unbalanced binary outcomes pp. 319-344

- Jinyong Hahn, Xueyuan Liu and Geert Ridder
- Powerful t-tests in the presence of nonclassical measurement error pp. 345-378

- Dongwoo Kim and Daniel Wilhelm
- MCMC conditional maximum likelihood for the two-way fixed-effects logit pp. 379-404

- Francesco Bartolucci, Claudia Pigini and Francesco Valentini
- An approximated exponentially tilted empirical likelihood estimator of moment condition models pp. 405-433

- Fei Jin and Yuqin Wang
- Semiparametric spatial autoregressive models with nonlinear endogeneity pp. 434-451

- Yiguo Sun
Volume 43, issue 5, 2024
- Identification and estimation of panel semiparametric conditional heteroskedastic frontiers with dynamic inefficiency pp. 238-268

- Jun Cai, William C. Horrace and Yoonseok Lee
- Locally time-varying parameter regression pp. 269-300

- Zhongfang He
- A hybrid nonparametric multivariate density estimator with applications to risk management pp. 301-318

- Juan Lin and Ximing Wu
Volume 43, issue 2-4, 2024
- ANNOUNCEMENT pp. 97-97

- The Editors
- Post-averaging inference for optimal model averaging estimator in generalized linear models pp. 98-122

- Dalei Yu, Heng Lian, Yuying Sun, Xinyu Zhang and Yongmiao Hong
- A method to evaluate the rank condition for CCE estimators pp. 123-155

- Ignace De Vos, Gerdie Everaert and Vasilis Sarafidis
- Inferring inequality: Testing for median-preserving spreads in ordinal data pp. 156-174

- Ramses Abul Naga, Christopher Stapenhurst and Gaston Yalonetzky
- Doubly robust estimation of multivariate fractional outcome means with multivalued treatments pp. 175-196

- Akanksha Negi and Jeffrey Wooldridge
- Confidence intervals for intentionally biased estimators pp. 197-214

- David Kaplan and Xin Liu
- Nonparametric estimation of mediation effects with a general treatment pp. 215-237

- Lukang Huang, Wei Huang, Oliver Linton and Zheng Zhang
Volume 43, issue 1, 2024
- Time-dependent shrinkage of time-varying parameter regression models pp. 1-29

- Zhongfang He
- Testing Granger non-causality in expectiles pp. 30-51

- Taoufik Bouezmarni, Mohamed Doukali and Abderrahim Taamouti
- A unifying switching regime regression framework with applications in health economics pp. 52-70

- Giampiero Marra, Rosalba Radice and David Zimmer
- Model averaging for generalized linear models in diverging model spaces with effective model size pp. 71-96

- Chaoxia Yuan, Fang Fang and Jialiang Li
Volume 42, issue 9-10, 2023
- In memory of Michael McAleer: special issue of Econometric Reviews pp. 700-702

- Esfandiar Maasoumi and Robert Taylor
- Extremal quantiles and stock price crashes pp. 703-724

- Panayiotis C. Andreou, Sofia Anyfantaki, Esfandiar Maasoumi and Carlo Sala
- Adaptive information-based methods for determining the co-integration rank in heteroskedastic VAR models pp. 725-757

- H. Peter Boswijk, Giuseppe Cavaliere, Luca De Angelis and Robert Taylor
- Endogeneity in semiparametric threshold regression models with two threshold variables pp. 758-779

- Chaoyi Chen, Thanasis Stengos and Yiguo Sun
- Forecasting Levels in Loglinear Unit Root Models pp. 780-805

- Kees Jan van Garderen
- Inference for the VEC(1) model with a heavy-tailed linear process errors* pp. 806-833

- Feifei Guo and Shiqing Ling
- Improved tests for stock return predictability pp. 834-861

- David I. Harvey, Stephen J. Leybourne and Robert Taylor
Volume 42, issue 8, 2023
- Linear fixed-effects estimation with nonrepeated outcomes pp. 635-654

- Helmut Farbmacher and Harald Tauchmann
- Automatic variable selection for semiparametric spatial autoregressive model pp. 655-675

- Fang Lu, Sisheng Liu, Jing Yang and Xuewen Lu
- An application of copulas to OPEC’s changing influence on fossil fuel prices pp. 676-699

- C. Grazian and A. McInnes
Volume 42, issue 7, 2023
- Forecasting vector autoregressions with mixed roots in the vicinity of unity pp. 556-585

- Yundong Tu and Xinling Xie
- Latent local-to-unity models pp. 586-611

- Xiaohu Wang and Jun Yu
- Robust nonparametric frontier estimation in two steps pp. 612-634

- Yining Chen, Hudson S. Torrent and Flavio A. Ziegelmann
Volume 42, issue 6, 2023
- Optimal minimax rates of specification testing with data-driven bandwidth pp. 487-512

- Kohtaro Hitomi, Masamune Iwasawa and Yoshihiko Nishiyama
- Dynamic factor, leverage and realized covariances in multivariate stochastic volatility pp. 513-539

- Yuta Yamauchi and Yasuhiro Omori
- A unified unit root test regardless of intercept pp. 540-555

- Bingduo Yang, Xiaohui Liu, Wei Long and Liang Peng
Volume 42, issue 5, 2023
- Monitoring the direction of the short-term trend of economic indicators pp. 421-440

- Estela Bee Dagum and Silvia Bianconcini
- A robust score-driven filter for multivariate time series pp. 441-470

- Enzo D’Innocenzo, Alessandra Luati and Mario Mazzocchi
- Inference in a similarity-based spatial autoregressive model pp. 471-486

- Offer Lieberman and Francesca Rossi
Volume 42, issue 4, 2023
- Inference and extrapolation in finite populations with special attention to clustering pp. 343-357

- Richard Startz and Douglas Steigerwald
- Panel cointegrating polynomial regressions: group-mean fully modified OLS estimation and inference pp. 358-392

- Martin Wagner and Karsten Reichold
- Bandwidth selection for nonparametric regression with errors-in-variables pp. 393-419

- Hao Dong, Taisuke Otsu and Luke Taylor
Volume 42, issue 3, 2023
- Indirect inference estimation of higher-order spatial autoregressive models pp. 247-280

- Yong Bao
- Simultaneous bandwidths determination for DK-HAC estimators and long-run variance estimation in nonparametric settings pp. 281-306

- Federico Belotti, Alessandro Casini, Leopoldo Catania, Stefano Grassi and Pierre Perron
- Nonparametric identification and estimation of heterogeneous causal effects under conditional independence pp. 307-341

- Sungho Noh
Volume 42, issue 2, 2023
- Inference in an incomplete information entry game with an incumbent and with beliefs conditioned on unobservable market characteristics pp. 123-156

- Andres Aradillas-Lopez
- Estimating flow data models of international trade: dual gravity and spatial interactions pp. 157-194

- Fei Jin, Lung-fei Lee and Jihai Yu
- GLS estimation and confidence sets for the date of a single break in models with trends pp. 195-219

- Eric Beutner, Yicong Lin and Stephan Smeekes
- Efficient estimation with missing data and endogeneity pp. 220-239

- Bhavna Rai
- The two-way Mundlak estimator pp. 240-246

- Badi Baltagi
Volume 42, issue 1, 2023
- Yet another look at the omitted variable bias pp. 1-27

- Masayuki Hirukawa, Irina Murtazashvili and Artem Prokhorov
- Forward detrending for heteroskedasticity-robust panel unit root testing pp. 28-53

- Helmut Herwartz, Simone Maxand and Yabibal Walle
- Hamiltonian sequential Monte Carlo with application to consumer choice behavior pp. 54-77

- Martin Burda and Remi Daviet
- Smooth structural changes and common factors in nonstationary panel data: an analysis of healthcare expenditures† pp. 78-97

- Saban Nazlioglu, Junsoo Lee, Margie Tieslau, Cagin Karul and Yu You
- Determining the number of factors in constrained factor models via Bayesian information criterion pp. 98-122

- Jingjie Xiang, Gangzheng Guo and Jiaolong Li
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