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 (repec@elsevier.com). Access Statistics for this journal.
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Volume 230, issue 2, 2022
- Predictive functional linear models with diverging number of semiparametric single-index interactions pp. 221-239

- Yanghui Liu, Yehua Li, Raymond J. Carroll and Naisyin Wang
- Global temperatures and greenhouse gases: A common features approach pp. 240-254

- Li Chen, Jiti Gao and Farshid Vahid
- Nonparametric jump variation measures from options pp. 255-280

- Viktor Todorov
- Markov switching panel with endogenous synchronization effects pp. 281-298

- Komla M. Agudze, Monica Billio, Roberto Casarin and Francesco Ravazzolo
- Sampling properties of the Bayesian posterior mean with an application to WALS estimation pp. 299-317

- Giuseppe De Luca, Jan R. Magnus and Franco Peracchi
- Inference on covariance-mean regression pp. 318-338

- Tao Zou, Wei Lan, Runze Li and Chih-Ling Tsai
- Fast and accurate variational inference for models with many latent variables pp. 339-362

- Rubén Loaiza-Maya, Michael Stanley Smith, David J. Nott and Peter Danaher
- Estimation and inference about tail features with tail censored data pp. 363-387

- Yulong Wang and Zhijie Xiao
- Estimation of varying coefficient models with measurement error pp. 388-415

- Hao Dong, Taisuke Otsu and Luke Taylor
- Robust post-selection inference of high-dimensional mean regression with heavy-tailed asymmetric or heteroskedastic errors pp. 416-431

- Dongxiao Han, Jian Huang, Yuanyuan Lin and Guohao Shen
- GMM quantile regression pp. 432-452

- Sergio Firpo, Antonio Galvao, Cristine Pinto, Alexandre Poirier and Graciela Sanroman
- Nonparametric inference for quantile cointegrations with stationary covariates pp. 453-482

- Yundong Tu, Han-Ying Liang and Qiying Wang
- Testing for the presence of jump components in jump diffusion models pp. 483-509

- Bin Wang and Xu Zheng
- Local mispricing and microstructural noise: A parametric perspective pp. 510-534

- Torben Andersen, Ilya Archakov, Gökhan Cebiroglu and Nikolaus Hautsch
- How should parameter estimation be tailored to the objective? pp. 535-558

- Peter Hansen and Elena-Ivona Dumitrescu
Volume 230, issue 1, 2022
- Bayesian factor-adjusted sparse regression pp. 3-19

- Jianqing Fan, Bai Jiang and Qiang Sun
- Bayesian and maximum likelihood analysis of large-scale panel choice models with unobserved heterogeneity pp. 20-38

- Tomohiro Ando, Jushan Bai and Kunpeng Li
- Parsimony inducing priors for large scale state–space models pp. 39-61

- Hedibert F. Lopes, Robert E. McCulloch and Ruey S. Tsay
- Adaptive Bayesian estimation of conditional discrete-continuous distributions with an application to stock market trading activity pp. 62-82

- Andriy Norets and Justinas Pelenis
- Posterior-based Wald-type statistics for hypothesis testing pp. 83-113

- Xiaobin Liu, Yong Li, Jun Yu and Tao Zeng
- Real-time Bayesian learning and bond return predictability pp. 114-130

- Runqing Wan, Andras Fulop and Junye Li
- Bayesian nonparametric learning of how skill is distributed across the mutual fund industry pp. 131-153

- Mark Fisher and Mark Jensen
- Asymptotically valid Bayesian inference in the presence of distributional misspecification in VAR models pp. 154-182

- Katerina Petrova
- Factor investing: A Bayesian hierarchical approach pp. 183-200

- Guanhao Feng and Jingyu He
- Affine arbitrage-free yield net models with application to the euro debt crisis pp. 201-220

- Zhiwu Hong, Linlin Niu and Chen Zhang
Volume 229, issue 2, 2022
- Semiparametric model averaging prediction for dichotomous response pp. 219-245

- Fang Fang, Jialiang Li and Xiaochao Xia
- On improvability of model selection by model averaging pp. 246-262

- Jingfu Peng and Yuhong Yang
- Sieve IV estimation of cross-sectional interaction models with nonparametric endogenous effect pp. 263-275

- Tadao Hoshino
- A doubly corrected robust variance estimator for linear GMM pp. 276-298

- Jungbin Hwang, Byunghoon Kang and Seojeong Lee
- Nonparametric estimation of the random coefficients model: An elastic net approach pp. 299-321

- Florian Heiss, Stephan Hetzenecker and Maximilian Osterhaus
- On LASSO for predictive regression pp. 322-349

- Ji Hyung Lee, Zhentao Shi and Zhan Gao
- Transformations and moment conditions for dynamic fixed effects logit models pp. 350-362

- Yoshitsugu Kitazawa
- Testing the eigenvalue structure of spot and integrated covariance pp. 363-395

- Prosper Dovonon, Abderrahim Taamouti and Julian Williams
- Spurious functional-coefficient regression models and robust inference with marginal integration pp. 396-421

- Yundong Tu and Ying Wang
- Volatility of volatility: Estimation and tests based on noisy high frequency data with jumps pp. 422-451

- Yingying Li, Guangying Liu and Zhiyuan Zhang
Volume 229, issue 1, 2022
- Asymptotic properties of correlation-based principal component analysis pp. 1-18

- Jungjun Choi and Xiye Yang
- An incidental parameters free inference approach for panels with common shocks pp. 19-54

- Artūras Juodis and Vasilis Sarafidis
- Estimation and inference in heterogeneous spatial panels with a multifactor error structure pp. 55-79

- Jia Chen, Yongcheol Shin and Chaowen Zheng
- Factor models with local factors — Determining the number of relevant factors pp. 80-102

- Simon Freyaldenhoven
- Factor models with many assets: Strong factors, weak factors, and the two-pass procedure pp. 103-126

- Stanislav Anatolyev and Anna Mikusheva
- Functional time series approach to analyzing asset returns co-movements pp. 127-151

- Patrick W. Saart and Yingcun Xia
- High-dimensional test for alpha in linear factor pricing models with sparse alternatives pp. 152-175

- Long Feng, Wei Lan, Binghui Liu and Yanyuan Ma
- Kotlarski with a factor loading pp. 176-179

- Arthur Lewbel
- Maximum likelihood estimation and inference for high dimensional generalized factor models with application to factor-augmented regressions pp. 180-200

- Fa Wang
- Projected estimation for large-dimensional matrix factor models pp. 201-217

- Long Yu, Yong He, Xinbing Kong and Xinsheng Zhang
Volume 228, issue 2, 2022
- SONIC: SOcial Network analysis with Influencers and Communities pp. 177-220

- Cathy Yi-Hsuan Chen, Wolfgang Härdle and Yegor Klochkov
- Measuring news sentiment pp. 221-243

- Adam Hale Shapiro, Moritz Sudhof and Daniel Wilson
- An explainable attention network for fraud detection in claims management pp. 244-258

- Helmut Farbmacher, Leander Löw and Martin Spindler
- Can we measure inflation expectations using Twitter? pp. 259-277

- Cristina Angelico, Juri Marcucci, Marcello Miccoli and Filippo Quarta
- Instrument-free identification and estimation of differentiated products models using cost data pp. 278-301

- David P. Byrne, Susumu Imai, Neelam Jain and Vasilis Sarafidis
- Infinite Markov pooling of predictive distributions pp. 302-321

- Xin Jin, John Maheu and Qiao Yang
- Latent complementarity in bundles models pp. 322-341

- Roy Allen and John Rehbeck
- A stochastic dominance test under survey nonresponse with an application to comparing trust levels in Lebanese public institutions pp. 342-358

- Ali Fakih, Paul Makdissi, Walid Marrouch, Rami V. Tabri and Myra Yazbeck
- Illuminating economic growth pp. 359-378

- Yingyao Hu and Jiaxiong Yao
- An integrated panel data approach to modelling economic growth pp. 379-397

- Guohua Feng, Jiti Gao and Bin Peng
Volume 228, issue 1, 2022
- High-dimensional linear models with many endogenous variables pp. 4-26

- Alexandre Belloni, Christian Hansen and Whitney Newey
- Nonparametric Bayes subject to overidentified moment conditions pp. 27-38

- A. Ronald Gallant
- Estimation and inference for the counterfactual distribution and quantile functions in continuous treatment models pp. 39-61

- Chunrong Ai, Oliver Linton and Zheng Zhang
- Bayesian estimation of long-run risk models using sequential Monte Carlo pp. 62-84

- Andras Fulop, Jeremy Heng, Junye Li and Hening Liu
- Constrained estimation using penalization and MCMC pp. 85-106

- A. Ronald Gallant, Han Hong, Michael Leung and Jessie Li
- Robust Bayesian inference in proxy SVARs pp. 107-126

- Raffaella Giacomini, Toru Kitagawa and Matthew Read
- Copula-based time series with filtered nonstationarity pp. 127-155

- Xiaohong Chen, Zhijie Xiao and Bo Wang
- Variation and efficiency of high-frequency betas pp. 156-175

- Congshan Zhang, Jia Li, Viktor Todorov and George Tauchen
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