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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.
Is something missing from the series or not right? See the RePEc data check for the archive and series.
Volume 252, issue PB, 2025
- Identification of time-varying counterfactual parameters in nonlinear panel models

- Irene Botosaru and Chris Muris
- Phase transitions in nonparametric regressions

- Ying Zhu
- Loss aversion and the welfare ranking of policy interventions

- Sergio Firpo, Antonio Galvao, Martyna Kobus, Thomas Parker and Pedro Rosa-Dias
- Estimation of wage inequality in the UK by quantile regression with censored selection

- Songnian Chen, Nianqing Liu, Hanghui Zhang and Yahong Zhou
- Test of neglected heterogeneity in dyadic models

- Jinyong Hahn, Hyungsik Roger Moon and Ruoyao Shi
- Improved estimation of semiparametric dynamic copula models with filtered nonstationarity

- Xiaohong Chen, Bo Wang, Zhijie Xiao and Yanping Yi
- Statistical inference for the low dimensional parameters of linear regression models in the presence of high-dimensional data: An orthogonal projection approach

- Cheng Hsiao and Qiankun Zhou
- Higher-order refinements of small bandwidth asymptotics for density-weighted average derivative estimators

- Matias Cattaneo, Max H. Farrell, Michael Jansson and Ricardo P. Masini
- Nonlinear budget set regressions in random utility models: Theory and application to taxable income

- Sören Blomquist, Anil Kumar, Che-Yuan Liang and Whitney K. Newey
- Identification and estimation of partial effects in nonlinear semiparametric panel models

- Laura Liu, Alexandre Poirier and Ji-Liang Shiu
- Estimating high dimensional monotone index models by iterative convex optimization

- Shakeeb Khan, Xiaoying Lan, Elie Tamer and Qingsong Yao
- Measuring the effects of segregation in the presence of social spillovers: A nonparametric approach

- Bryan S. Graham, Guido W. Imbens and Geert Ridder
- Increasing the power of moment-based tests

- Tiemen Woutersen
- Introduction to the Annals Issue in Honor of James Powell

- Bryan Graham, Hidehiko Ichimura, Michael Jansson and Shakeeb Khan
Volume 252, issue PA, 2025
- High dimensional factor analysis with weak factors

- Jungjun Choi and Ming Yuan
- On-line detection of changes in the shape of intraday volatility curves

- Torben G. Andersen, Yingwen Tan, Viktor Todorov and Zhiyuan Zhang
- Misspecification-robust bootstrap t-test for irrelevant factor in linear stochastic discount factor models

- Antoine A. Djogbenou and Ulrich Hounyo
- Structural periodic vector autoregressions

- Daniel Dzikowski and Carsten Jentsch
- Quantile graphical models: Prediction and conditional independence with applications to systemic risk

- Alexandre Belloni, Mingli Chen and Victor Chernozhukov
- Inference on model parameters with many L-moments

- Luis A.F. Alvarez, Chang Chiann and Pedro A. Morettin
- Nonparametric regression under cluster sampling

- Yuya Shimizu
- Cointegration with occasionally binding constraints

- James A. Duffy, Sophocles Mavroeidis and Sam Wycherley
- Matrix-valued factor model with time-varying main effects

- Clifford Lam and Zetai Cen
- Addressing endogeneity issues in a spatial autoregressive model using copulas

- Yanli Lin and Yichun Song
- Risk premia from the cross-section of individual assets

- Frank Kleibergen and Zhaoguo Zhan
- GMM estimation with Brownian kernels applied to income inequality measurement

- Jin Seo Cho and Peter C.B. Phillips
- Weak identification with bounds in a class of minimum distance models

- Gregory Fletcher Cox
- Estimation of spatial autoregressive panel data models with nonparametric endogenous effect

- Zixin Yang, Xiaojun Song and Jihai Yu
- Weighted residual empirical processes, martingale transformations, and model specification tests for regressions with diverging number of parameters

- Falong Tan, Xu Guo and Lixing Zhu
- Identification- and many moment-robust inference via invariant moment conditions

- Tom Boot and Johannes W. Ligtenberg
- Weighted-average quantile regression

- Denis Chetverikov, Yukun Liu and Aleh Tsyvinski
- Shrinkage methods for treatment choice

- Takuya Ishihara and Daisuke Kurisu
- Making distributionally robust portfolios feasible in high dimension

- Ruike Wu, Yanrong Yang, Han Lin Shang and Huanjun Zhu
- Causal inference in network experiments: Regression-based analysis and design-based properties

- Mengsi Gao and Peng Ding
- Robust mutual fund selection with false discovery rate control

- Hongfei Wang, Ping Zhao, Long Feng and Zhaojun Wang
- Factor and idiosyncratic VAR volatility matrix models for heavy-tailed high-frequency financial observations

- Minseok Shin, Donggyu Kim, Yazhen Wang and Jianqing Fan
Volume 251, issue C, 2025
- Distribution regression with censored selection

- Songnian Chen, Nianqing Liu and Hanghui Zhang
- Multilevel matrix factor model

- Yuteng Zhang, Yongchang Hui, Junrong Song and Shurong Zheng
- Time-varying vector error-correction models: Estimation and inference

- Jiti Gao, Bin Peng and Yayi Yan
- Multivariate stochastic volatility models based on generalized Fisher transformation

- Han Chen, Yijie Fei and Jun Yu
- A robust residual-based test for structural changes in factor models

- Bin Peng, Liangjun Su and Yayi Yan
- Asymptotic theory of the best-choice rerandomization using the Mahalanobis distance

- Yuhao Wang and Xinran Li
- Hedonic prices and quality adjusted price indices powered by AI

- Patrick Bajari, Z. Cen, V. Chernozhukov, M. Manukonda, S. Vijaykumar, J. Wang, R. Huerta, J. Li, L. Leng, George Monokroussos and S. Wang
- Bias correction for quantile regression estimators

- Grigory Franguridi, Bulat Gafarov and Kaspar Wüthrich
- Bernstein-type inequalities and nonparametric estimation under near-epoch dependence

- Zihao Yuan and Martin Spindler
- Generalized Lee bounds

- Vira Semenova
- Fast computation of exact confidence intervals for randomized experiments with binary outcomes

- P.M. Aronow, Haoge Chang and Patrick Lopatto
- Global identification, estimation and inference of structural impulse response functions in factor models: A unified framework

- Xu Han
- High frequency factor analysis with partially observable factors

- Dachuan Chen, Wenqi Lu and Siyu Xie
- A comparative analysis of two-way fixed effects estimators in staggered treatment designs

- Jhordano Aguilar-Loyo
- Layered policy analysis in program evaluation using the marginal treatment effect

- Ismael Mourifié and Yuanyuan Wan
- Neural Conformal Inference for jump diffusion processes

- Hyeong Jin Hyun and Xiao Wang
- A general test for functional inequalities

- Jia Li, Zhipeng Liao and Wenyu Zhou
- Sieve estimation of state-varying factor models

- Liangjun Su, Sainan Jin and Xia Wang
- Robust estimation for dynamic spatial autoregression models with nearly optimal rates

- Yin Lu, Chunbai Tao, Di Wang, Gazi Salah Uddin, Libo Wu and Xuening Zhu
- Taking advantage of biased proxies for forecast evaluation

- Giuseppe Buccheri, Roberto Renò and Giorgio Vocalelli
- High dimensional binary choice model with unknown heteroskedasticity or instrumental variables

- Fu Ouyang and Thomas T. Yang
- Factor-guided estimation of large covariance matrix function with conditional functional sparsity

- Dong Li, Xinghao Qiao and Zihan Wang
- Fast on-line changepoint detection using heavily-weighted CUSUM and veto-based decision rules

- Fabrizio Ghezzi, Eduardo Rossi and Lorenzo Trapani
- An order-invariant score-driven dynamic factor model

- Mariia Artemova
- A unified test for regression discontinuity designs

- Koki Fusejima, Takuya Ishihara and Masayuki Sawada
- Bregman model averaging for forecast combination

- Yi-Ting Chen, Chu-An Liu and Jiun-Hua Su
- Spatial panel data models with structural change

- Luya Wang and Kunpeng Li
- Quantile regression with group-level treatments

- Songnian Chen
- On regression-adjusted imputation estimators of average treatment effects

- Zhexiao Lin and Fang Han
- Shrinkage estimation of spatial panel data models with multiple structural breaks and a multifactor error structure

- Siqi Dai, Yongmiao Hong, Haiqi Li and Chaowen Zheng
- Deep learning based residuals in non-linear factor models: Precision matrix estimation of returns with low signal-to-noise ratio

- Mehmet Caner and Maurizio Daniele
- Identification and inference for semiparametric single index transformation models

- Yingqian Lin and Yundong Tu
- Support vector decision making

- Yixiao Sun
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