Journal of Econometrics
1973 - 2025
Current editor(s): T. Amemiya, A. R. Gallant, J. F. Geweke, C. Hsiao and P. M. Robinson From Elsevier Bibliographic data for series maintained by Catherine Liu (). Access Statistics for this journal.
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Volume 217, issue 2, 2020
- Liquidity and volatility in the U.S. Treasury market pp. 207-229

- Giang Nguyen, Robert Engle, Michael Fleming and Eric Ghysels
- The leverage effect puzzle revisited: Identification in discrete time pp. 230-258

- Hyojin Han, Stanislav Khrapov and Eric Renault
- Volatility estimation and jump detection for drift–diffusion processes pp. 259-290

- Sébastien Laurent and Shuping Shi
- Spanning tests for Markowitz stochastic dominance pp. 291-311

- Stelios Arvanitis, Olivier Scaillet and Nikolas Topaloglou
- Dynamics of variance risk premia: A new model for disentangling the price of risk pp. 312-334

- Jeroen V.K. Rombouts, Lars Stentoft and Francesco Violante
- Partially censored posterior for robust and efficient risk evaluation pp. 335-355

- Agnieszka Borowska, Lennart Hoogerheide, Siem Jan Koopman and Herman van Dijk
- Virtual Historical Simulation for estimating the conditional VaR of large portfolios pp. 356-380

- Christian Francq and Jean-Michel Zakoian
- Nearest comoment estimation with unobserved factors pp. 381-397

- Kris Boudt, Dries Cornilly and Tim Verdonck
- Flexible multivariate Hill estimators pp. 398-410

- Yves Dominicy, Matias Heikkilä, Pauliina Ilmonen and David Veredas
- Multivariate leverage effects and realized semicovariance GARCH models pp. 411-430

- Tim Bollerslev, Andrew Patton and Rogier Quaedvlieg
- Estimation of a multiplicative correlation structure in the large dimensional case pp. 431-470

- Christian Hafner, Oliver Linton and Haihan Tang
- Incorporating overnight and intraday returns into multivariate GARCH volatility models pp. 471-495

- Geert Dhaene and Jianbin Wu
- Nonlinearities and regimes in conditional correlations with different dynamics pp. 496-522

- Luc Bauwens and Edoardo Otranto
Volume 217, issue 1, 2020
- Estimating derivatives of function-valued parameters in a class of moment condition models pp. 1-19

- Christoph Rothe and Dominik Wied
- High frequency traders and the price process pp. 20-45

- Yacine Ait-Sahalia and Celso Brunetti
- Relevant parameter changes in structural break models pp. 46-78

- Arnaud Dufays and Jeroen V.K. Rombouts
- Inference for high-dimensional instrumental variables regression pp. 79-111

- David Gold, Johannes Lederer and Jing Tao
- Nonparametric analysis of a duration model with stochastic unobserved heterogeneity pp. 112-139

- Irene Botosaru
- Frequency domain estimation of cointegrating vectors with mixed frequency and mixed sample data pp. 140-160

- Marcus Chambers
- Posterior distribution of nondifferentiable functions pp. 161-175

- Toru Kitagawa, José Luis Montiel Olea, Jonathan Payne and Amilcar Velez Salamanca
- A coupled component DCS-EGARCH model for intraday and overnight volatility pp. 176-201

- Oliver Linton and Jianbin Wu
Volume 216, issue 2, 2020
- Efficient estimation of heterogeneous coefficients in panel data models with common shocks pp. 327-353

- Kunpeng Li, Guowei Cui and Lina Lu
- Unobserved heterogeneity in auctions under restricted stochastic dominance pp. 354-374

- Yao Luo
- Adaptive inference on pure spatial models pp. 375-393

- Jungyoon Lee and Peter M. Robinson
- Counterfactual prediction in complete information games: Point prediction under partial identification pp. 394-429

- Sung Jae Jun and Joris Pinkse
- Option market trading activity and the estimation of the pricing kernel: A Bayesian approach pp. 430-449

- Giovanni Barone-Adesi, Nicola Fusari, Antonietta Mira and Carlo Sala
- Deviance information criterion for latent variable models and misspecified models pp. 450-493

- Yong Li, Jun Yu and Tao Zeng
- The dynamic factor network model with an application to international trade pp. 494-515

- Falk Bräuning and Siem Jan Koopman
- Survey weighted estimating equation inference with nuisance functionals pp. 516-536

- Puying Zhao, David Haziza and Changbao Wu
Volume 216, issue 1, 2020
- Generalized dynamic factor models and volatilities: Consistency, rates, and prediction intervals pp. 4-34

- Matteo Barigozzi and Marc Hallin
- A robust procedure to build dynamic factor models with cluster structure pp. 35-52

- Andrés M. Alonso, Pedro Galeano and Daniel Peña
- Threshold factor models for high-dimensional time series pp. 53-70

- Xialu Liu and Rong Chen
- Factor-adjusted regularized model selection pp. 71-85

- Jianqing Fan, Yuan Ke and Kaizheng Wang
- High-frequency factor models and regressions pp. 86-105

- Yacine Ait-Sahalia, Ilze Kalnina and Dacheng Xiu
- Testing serial correlations in high-dimensional time series via extreme value theory pp. 106-117

- Ruey S. Tsay
- Variable selection for high-dimensional regression models with time series and heteroscedastic errors pp. 118-136

- Hai-Tang Chiou, Meihui Guo and Ching-Kang Ing
- Dynamic conditional angular correlation pp. 137-150

- Riad Jarjour and Kung-Sik Chan
- Twisted probabilities, uncertainty, and prices pp. 151-174

- Lars Hansen, Bálint Szőke, Lloyd S. Han and Thomas Sargent
- Estimation for double-nonlinear cointegration pp. 175-191

- Yingqian Lin, Yundong Tu and Qiwei Yao
- Asymptotic theory for near integrated processes driven by tempered linear processes pp. 192-202

- Farzad Sabzikar, Qiying Wang and Peter Phillips
- Two-mode network autoregressive model for large-scale networks pp. 203-219

- Danyang Huang, Feifei Wang, Xuening Zhu and Hansheng Wang
- Inference for the degree distributions of preferential attachment networks with zero-degree nodes pp. 220-234

- N.H. Chan, Simon K.C. Cheung and Samuel P.S. Wong
- Robust causality test of infinite variance processes pp. 235-245

- Fumiya Akashi, Masanobu Taniguchi and Anna Clara Monti
- Noncausal vector AR processes with application to economic time series pp. 246-267

- Richard A. Davis and Li Song
- Double machine learning with gradient boosting and its application to the Big N audit quality effect pp. 268-283

- Jui-Chung Yang, Hui-Ching Chuang and Chung-Ming Kuan
- Pairwise local Fisher and naive Bayes: Improving two standard discriminants pp. 284-304

- Håkon Otneim, Martin Jullum and Dag Tjøstheim
- Multiscale clustering of nonparametric regression curves pp. 305-325

- Michael Vogt and Oliver Linton
Volume 215, issue 2, 2020
- n-prediction of generalized heteroscedastic transformation regression models pp. 305-340

- Songnian Chen and Hanghui Zhang
- Testing for Stationarity at High Frequency pp. 341-374

- Bibo Jiang, Ye Lu and Joon Y. Park
- Estimating production functions with robustness against errors in the proxy variables pp. 375-398

- Yingyao Hu, Guofang Huang and Yuya Sasaki
- Nonparametric identification in index models of link formation pp. 399-413

- Wayne Yuan Gao
- Estimating permanent price impact via machine learning pp. 414-449

- R. Philip
- The uniform validity of impulse response inference in autoregressions pp. 450-472

- Atsushi Inoue and Lutz Kilian
- Identifying dynamic discrete choice models off short panels pp. 473-485

- Peter Arcidiacono and Robert A. Miller
- Time-invariant restrictions of volatility functionals: Efficient estimation and specification tests pp. 486-516

- Xiye Yang
- Variance risk: A bird’s eye view pp. 517-535

- Fabian Hollstein and Chardin Wese Simen
- Dependent microstructure noise and integrated volatility estimation from high-frequency data pp. 536-558

- Z. Merrick Li, Roger Laeven and Michel H. Vellekoop
- Issues in the estimation of mis-specified models of fractionally integrated processes pp. 559-573

- Gael M. Martin, K. Nadarajah and Donald Poskitt
- Identification and estimation in panel models with overspecified number of groups pp. 574-590

- Ruiqi Liu, Zuofeng Shang, Yonghui Zhang and Qiankun Zhou
- Multivariate spatial autoregressive model for large scale social networks pp. 591-606

- Xuening Zhu, Danyang Huang, Rui Pan and Hansheng Wang
- Kernel-based Inference in Time-Varying Coefficient Cointegrating Regression pp. 607-632

- Degui Li, Peter Phillips and Jiti Gao
Volume 215, issue 1, 2020
- Inference for local distributions at high sampling frequencies: A bootstrap approach pp. 1-34

- Ulrich Hounyo and Rasmus T. Varneskov
- Does modeling a structural break improve forecast accuracy? pp. 35-59

- Tom Boot and Andreas Pick
- Determining individual or time effects in panel data models pp. 60-83

- Xun Lu and Liangjun Su
- A goodness-of-fit test for copulas based on martingale transformation pp. 84-117

- Xiaohui Lu and Xu Zheng
- Ultrahigh dimensional precision matrix estimation via refitted cross validation pp. 118-130

- Luheng Wang, Zhao Chen, Christina Dan Wang and Runze Li
- Inference on distribution functions under measurement error pp. 131-164

- Karun Adusumilli, Daisuke Kurisu, Taisuke Otsu and Yoon-Jae Whang
- Non-standard inference for augmented double autoregressive models with null volatility coefficients pp. 165-183

- Feiyu Jiang, Dong Li and Ke Zhu
- Identification and estimation of time-varying nonseparable panel data models without stayers pp. 184-208

- Takuya Ishihara
- Sequential monitoring for changes from stationarity to mild non-stationarity pp. 209-238

- Lajos Horvath, Zhenya Liu, Gregory Rice and Shixuan Wang
- Semiparametric estimation of a censored regression model with endogeneity pp. 239-256

- Songnian Chen and Qian Wang
- Hybrid stochastic local unit roots pp. 257-285

- Offer Lieberman and Peter Phillips
- Nonparametric identification of discrete choice models with lagged dependent variables pp. 286-304

- Benjamin Williams
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