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 224, issue 2, 2021
- Diagnostic tests for homoskedasticity in spatial cross-sectional or panel models pp. 245-270

- Badi Baltagi, Alain Pirotte and Zhenlin Yang
- The medium-run efficiency consequences of unfair school matching: Evidence from Chinese college admissions pp. 271-285

- Xiaohan Zhong and Lin Zhu
- An empirical total survey error decomposition using data combination pp. 286-305

- Bruce D. Meyer and Nikolas Mittag
- Adaptive inference for a semiparametric generalized autoregressive conditional heteroskedasticity model pp. 306-329

- Feiyu Jiang, Dong Li and Ke Zhu
- Robust estimation with exponentially tilted Hellinger distance pp. 330-344

- Bertille Antoine and Prosper Dovonon
- An econometric model of network formation with an application to board interlocks between firms pp. 345-370

- Cristina Gualdani
- An improved bootstrap test for restricted stochastic dominance pp. 371-393

- Thomas M. Lok and Rami V. Tabri
- Time-varying instrumental variable estimation pp. 394-415

- Liudas Giraitis, George Kapetanios and Massimiliano Marcellino
- Robust nonlinear regression estimation in null recurrent time series pp. 416-438

- Francesco Bravo, Degui Li and Dag Tjøstheim
- Recursive estimation in large panel data models: Theory and practice pp. 439-465

- Bin Jiang, Yanrong Yang, Jiti Gao and Cheng Hsiao
Volume 224, issue 1, 2021
- Continuous record Laplace-based inference about the break date in structural change models pp. 3-21

- Alessandro Casini and Pierre Perron
- Statistical tests of a simple energy balance equation in a synthetic model of cotrending and cointegration pp. 22-38

- Josep Carrion-i-Silvestre and Dukpa Kim
- Inference after estimation of breaks pp. 39-59

- Isaiah Andrews, Toru Kitagawa and Adam McCloskey
- Boosting high dimensional predictive regressions with time varying parameters pp. 60-87

- Kashif Yousuf and Serena Ng
- Sieve estimation of option-implied state price density pp. 88-112

- Junwen Lu and Zhongjun Qu
- Inference in time series models using smoothed-clustered standard errors pp. 113-133

- Seunghwa Rho and Timothy Vogelsang
- Dynamic spatial panel data models with common shocks pp. 134-160

- Jushan Bai and Kunpeng Li
- Bootstrapping non-stationary stochastic volatility pp. 161-180

- H. Peter Boswijk, Giuseppe Cavaliere, Iliyan Georgiev and Anders Rahbek
- Simple estimators and inference for higher-order stochastic volatility models pp. 181-197

- Md. Nazmul Ahsan and Jean-Marie Dufour
- Simple tests for stock return predictability with good size and power properties pp. 198-214

- David Harvey, Stephen J. Leybourne and Robert Taylor
- Consistent inference for predictive regressions in persistent economic systems pp. 215-244

- Torben Andersen and Rasmus T. Varneskov
Volume 223, issue 2, 2021
- Sufficient statistics for unobserved heterogeneity in structural dynamic logit models pp. 280-311

- Victor Aguirregabiria, Jiaying Gu and Yao Luo
- Semiparametric estimation of dynamic discrete choice models pp. 312-327

- Nicholas Buchholz, Matthew Shum and Haiqing Xu
- Solving dynamic discrete choice models using smoothing and sieve methods pp. 328-360

- Dennis Kristensen, Patrick K. Mogensen, Jong Myun Moon and Bertel Schjerning
- The likelihood of mixed hitting times pp. 361-375

- Jaap H. Abbring and Tim Salimans
- Bidding frictions in ascending auctions pp. 376-400

- Aaron Barkley, Joachim R. Groeger and Robert A. Miller
- Effects of taxes and safety net pensions on life-cycle labor supply, savings and human capital: The case of Australia pp. 401-432

- Fedor Iskhakov and Michael Keane
- Labor market search, informality, and on-the-job human capital accumulation pp. 433-453

- Matteo Bobba, Luca Flabbi, Santiago Levy and Mauricio Tejada
- Illegal drugs, education, and labor market outcomes pp. 454-484

- Alvaro Mezza and Moshe Buchinsky
Volume 223, issue 1, 2021
- Indirect inference for locally stationary models pp. 1-27

- David T. Frazier and Bonsoo Koo
- Nonparametric regression with selectively missing covariates pp. 28-52

- Christoph Breunig and Peter Haan
- Nonparametric estimation of large covariance matrices with conditional sparsity pp. 53-72

- Hanchao Wang, Bin Peng, Degui Li and Chenlei Leng
- Integrated likelihood based inference for nonlinear panel data models with unobserved effects pp. 73-95

- Martin Schumann, Thomas A. Severini and Gautam Tripathi
- Model selection in utility-maximizing binary prediction pp. 96-124

- Jiun-Hua Su
- Inference without smoothing for large panels with cross-sectional and temporal dependence pp. 125-160

- Javier Hidalgo and Marcia Schafgans
- Shrinkage for categorical regressors pp. 161-189

- Phillip Heiler and Jana Mareckova
- Model averaging prediction for time series models with a diverging number of parameters pp. 190-221

- Jun Liao, Guohua Zou, Yan Gao and Xinyu Zhang
- Macroeconomic uncertainty prices when beliefs are tenuous pp. 222-250

- Lars Hansen and Thomas Sargent
- Efficient estimation and filtering for multivariate jump–diffusions pp. 251-275

- François Guay and Gustavo Schwenkler
Volume 222, issue 2, 2021
- Bounds on distributional treatment effect parameters using panel data with an application on job displacement pp. 861-881

- Brantly Callaway
- Limit theorems for network dependent random variables pp. 882-908

- Denis Kojevnikov, Vadim Marmer and Kyungchul Song
- A weighted sieve estimator for nonparametric time series models with nonstationary variables pp. 909-932

- Chaohua Dong, Oliver Linton and Bin Peng
- A Bayesian robust chi-squared test for testing simple hypotheses pp. 933-958

- Osman Doğan, Süleyman Taşpınar and Anil K. Bera
- Uncovering heterogeneous social effects in binary choices pp. 959-973

- Zhongjian Lin, Xun Tang and Ning Neil Yu
- Time-varying model averaging pp. 974-992

- Yuying Sun, Yongmiao Hong, Tae Hwy Lee, Shouyang Wang and Xinyu Zhang
- Simple and trustworthy cluster-robust GMM inference pp. 993-1023

- Jungbin Hwang
- Solving Euler equations via two-stage nonparametric penalized splines pp. 1024-1056

- Liyuan Cui, Yongmiao Hong and Yingxing Li
- Bounding the difference between true and nominal rejection probabilities in tests of hypotheses about instrumental variables models pp. 1057-1082

- Joel L. Horowitz
- Valid inference for treatment effect parameters under irregular identification and many extreme propensity scores pp. 1083-1108

- Phillip Heiler and Ekaterina Kazak
Volume 222, issue 1, 2021
- A survey of preference estimation with unobserved choice set heterogeneity pp. 4-43

- Gregory S. Crawford, Rachel Griffith and Alessandro Iaria
- Using penalized likelihood to select parameters in a random coefficients multinomial logit model pp. 44-55

- Joel L. Horowitz and Lars Nesheim
- BLP estimation using Laplace transformation and overlapping simulation draws pp. 56-72

- Han Hong, Huiyu Li and Jessie Li
- Control variables, discrete instruments, and identification of structural functions pp. 73-88

- Whitney Newey and Sami Stouli
- Assessing consumer demand with noisy neural measurements pp. 89-106

- Ryan Webb, Nitin Mehta and Ifat Levy
- Evaluating consumers’ choices of Medicare Part D plans: A study in behavioral welfare economics pp. 107-140

- Michael Keane, Jonathan Ketcham, Nicolai Kuminoff and Timothy Neal
- Disentangling moral hazard and adverse selection in private health insurance pp. 141-160

- David Powell and Dana Goldman
- How well do structural demand models work? Counterfactual predictions in school choice pp. 161-195

- Parag Pathak and Peng Shi
- Vehicle size choice and automobile externalities: A dynamic analysis pp. 196-218

- Clifford Winston and Jia Yan
- Estimation of endogenously sampled time series: The case of commodity price speculation in the steel market pp. 219-243

- George Hall and John Rust
- The browser war — Analysis of Markov Perfect Equilibrium in markets with dynamic demand effects pp. 244-260

- Mark Jenkins, Paul Liu, Rosa Matzkin and Daniel L. McFadden
- Augmented factor models with applications to validating market risk factors and forecasting bond risk premia pp. 269-294

- Jianqing Fan, Yuan Ke and Yuan Liao
- Estimation and inference in semiparametric quantile factor models pp. 295-323

- Shujie Ma, Oliver Linton and Jiti Gao
- Time-varying general dynamic factor models and the measurement of financial connectedness pp. 324-343

- Matteo Barigozzi, Marc Hallin, Stefano Soccorsi and Rainer von Sachs
- Tail risk and return predictability for the Japanese equity market pp. 344-363

- Torben Andersen, Viktor Todorov and Masato Ubukata
- Closed-form implied volatility surfaces for stochastic volatility models with jumps pp. 364-392

- Yacine Ait-Sahalia, Chenxu Li and Chen Xu Li
- Volatility analysis with realized GARCH-Itô models pp. 393-410

- Xinyu Song, Donggyu Kim, Huiling Yuan, Xiangyu Cui, Zhiping Lu, Yong Zhou and Yazhen Wang
- The Observed Asymptotic Variance: Hard edges, and a regression approach pp. 411-428

- Per A. Mykland and Lan Zhang
- Autoencoder asset pricing models pp. 429-450

- Shihao Gu, Bryan Kelly and Dacheng Xiu
- Generalized aggregation of misspecified models: With an application to asset pricing pp. 451-467

- Nikolay Gospodinov and Esfandiar Maasoumi
- The implied arbitrage mechanism in financial markets pp. 468-483

- Shiyi Chen, Michael T. Chng and Qingfu Liu
- Efficient estimation of multivariate semi-nonparametric GARCH filtered copula models pp. 484-501

- Xiaohong Chen, Zhuo Huang and Yanping Yi
- High dimensional minimum variance portfolio estimation under statistical factor models pp. 502-515

- Yi Ding, Yingying Li and Xinghua Zheng
- New testing approaches for mean–variance predictability pp. 516-538

- Gabriele Fiorentini and Enrique Sentana
- Autoregressive models for matrix-valued time series pp. 539-560

- Rong Chen, Han Xiao and Dan Yang
- The wisdom of the crowd and prediction markets pp. 561-578

- Min Dai, Yanwei Jia and Steven Kou
- Max-linear regression models with regularization pp. 579-600

- Qiurong Cui, Yuqing Xu, Zhengjun Zhang and Vincent Chan
- Testing for observation-dependent regime switching in mixture autoregressive models pp. 601-624

- Mika Meitz and Pentti Saikkonen
- Testing constancy in varying coefficient models pp. 625-644

- Miguel Delgado and Luis A. Arteaga-Molina
- Dynamic decisions under subjective expectations: A structural analysis pp. 645-675

- Yonghong An, Yingyao Hu and Ruli Xiao
- On the validity of Akaike’s identity for random fields pp. 676-687

- Carsten Jentsch and Marco Meyer
- Nonparametric estimation of jump diffusion models pp. 688-715

- Joon Y. Park and Bin Wang
- (Machine) learning parameter regions pp. 716-744

- José Luis Montiel Olea and James Nesbit
- On factor models with random missing: EM estimation, inference, and cross validation pp. 745-777

- Sainan Jin, Ke Miao and Liangjun Su
- Linear IV regression estimators for structural dynamic discrete choice models pp. 778-804

- Myrto Kalouptsidi, Paul T. Scott and Eduardo Souza-Rodrigues
- Empirical asset pricing with multi-period disaster risk: A simulation-based approach pp. 805-832

- Jantje Sönksen and Joachim Grammig
- Bayesian MIDAS penalized regressions: Estimation, selection, and prediction pp. 833-860

- Matteo Mogliani and Anna Simoni
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