|
|
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 243, issue 1, 2024
- Earnings dynamics and intergenerational transmission of skill

- Lance Lochner and Youngmin Park
- Some children left behind: Variation in the effects of an educational intervention

- Julie Buhl-Wiggers, Jason Kerwin, Juan Munoz-Morales, Jeffrey Smith and Rebecca Thornton
- You are what your parents expect: Height and local reference points

- Fan Wang, Esteban Puentes, Jere R. Behrman and Flávio Cunha
- Gender pension gaps in a private retirement accounts system: A dynamic model of household labor supply and savings

- Clement Joubert and Petra Todd
- Sample selection models without exclusion restrictions: Parameter heterogeneity and partial identification

- Bo E. Honoré and Luojia Hu
- Eliciting willingness-to-pay to decompose beliefs and preferences that determine selection into competition in lab experiments

- Yvonne Chen, Deniz Dutz, Li Li, Sarah Moon, Edward Vytlacil and Songfa Zhong
- Robust inference for moment condition models without rational expectations

- Xiaohong Chen, Lars Hansen and Peter G. Hansen
- Dealing with imperfect randomization: Inference for the highscope perry preschool program

- James Heckman, Rodrigo Pinto and Azeem Shaikh
- Policy evaluation with multiple instrumental variables

- Magne Mogstad, Alexander Torgovitsky and Christopher Walters
- Econometric causality: The central role of thought experiments

- James Heckman and Rodrigo Pinto
- Human capital and migration: A cautionary tale

- Salvador Navarro and Jin Zhou
- Introduction to the annals issue in honor of James J Heckman

- Xiaohong Chen and Edward Vytlacil
- Reprint of: Profiling the plight of disconnected youth in America

- Thomas MaCurdy, David Glick, Sonam Sherpa and Sriniketh Nagavarapu
Volume 242, issue 2, 2024
- A Correlated Random Coefficient panel model with time-varying endogeneity

- Louise Laage
- Nonparametric identification and estimation of stochastic block models from many small networks

- Koen Jochmans
- Identification and estimation of dynamic structural models with unobserved choices

- Yingyao Hu and Yi Xin
- On LASSO for high dimensional predictive regression

- Ziwei Mei and Zhentao Shi
- Change-point analysis of time series with evolutionary spectra

- Alessandro Casini and Pierre Perron
- Semiparametrically optimal cointegration test

- Bo Zhou
Volume 242, issue 1, 2024
- Modeling long cycles

- Da Natasha Kang and Vadim Marmer
- Better the devil you know: Improved forecasts from imperfect models

- Dong Hwan Oh and Andrew J. Patton
- Nonlinear and nonseparable structural functions in regression discontinuity designs with a continuous treatment

- Haitian Xie
- 2SLS with multiple treatments

- Manudeep Bhuller and Henrik Sigstad
- A simple specification test for models with many conditional moment inequalities

- Mathieu Marcoux, Thomas M. Russell and Yuanyuan Wan
- Maximum likelihood estimation of a spatial autoregressive model for origin–destination flow variables

- Hanbat Jeong and Lung-fei Lee
- On the performance of the Neyman Allocation with small pilots

- Yong Cai and Ahnaf Rafi
- Prewhitened long-run variance estimation robust to nonstationarity

- Alessandro Casini and Pierre Perron
Volume 241, issue 2, 2024
- Correcting attrition bias using changes-in-changes

- Dalia Ghanem, Sarojini Hirshleifer, Desire Kedagni and Karen Ortiz-Becerra
- Hybrid unadjusted Langevin methods for high-dimensional latent variable models

- Rubén Loaiza-Maya, Didier Nibbering and Dan Zhu
- Dynamic partial correlation models

- D’Innocenzo, Enzo and Andre Lucas
- Parametric risk-neutral density estimation via finite lognormal-Weibull mixtures

- Yifan Li, Ingmar Nolte and Manh Cuong Pham
- Estimation and inference for high dimensional factor model with regime switching

- Giovanni Urga and Fa Wang
- Robust inference of panel data models with interactive fixed effects under long memory: A frequency domain approach

- Shuyao Ke, Peter Phillips and Liangjun Su
- The local to unity dynamic Tobit model

- Anna Bykhovskaya and James A. Duffy
- Identifiability and estimation of possibly non-invertible SVARMA Models: The normalised canonical WHF parametrisation

- Bernd Funovits
- Measuring tail risk

- Maik Dierkes, Fabian Hollstein, Marcel Prokopczuk and Christoph Matthias Würsig
- Extreme expectile estimation for short-tailed data

- Abdelaati Daouia, Simone A. Padoan and Gilles Stupfler
Volume 241, issue 1, 2024
- Spectral clustering with variance information for group structure estimation in panel data

- Lu Yu, Jiaying Gu and Stanislav Volgushev
- Predictive ability tests with possibly overlapping models

- Valentina Corradi, Jack Fosten and Daniel Gutknecht
- No star is good news: A unified look at rerandomization based on p-values from covariate balance tests

- Anqi Zhao and Peng Ding
- Bayesian estimation of cluster covariance matrices of unknown form

- Drew Creal and Jaeho Kim
- Wild bootstrap inference for instrumental variables regressions with weak and few clusters

- Wenjie Wang and Yichong Zhang
- Estimation and inference of seller’s expected revenue in first-price auctions

- Federico Zincenko
- A vector monotonicity assumption for multiple instruments

- Leonard Goff
- Testing identification conditions of LATE in fuzzy regression discontinuity designs

- Yu-Chin Hsu, Ji-Liang Shiu and Yuanyuan Wan
- Covariate adjustment in experiments with matched pairs

- Yuehao Bai, Liang Jiang, Joseph P. Romano, Azeem Shaikh and Yichong Zhang
- The law of large numbers for large stable matchings

- Jacob Schwartz and Kyungchul Song
Volume 240, issue 2, 2024
- Standard errors for panel data models with unknown clusters

- Jushan Bai, Sung Hoon Choi and Yuan Liao
- Maximum likelihood estimation of latent Markov models using closed-form approximations

- Yacine Ait-Sahalia, Chenxu Li and Chen Xu Li
- Network and panel quantile effects via distribution regression

- Victor Chernozhukov, Iván Fernández-Val and Martin Weidner
- Financially adaptive clinical trials via option pricing analysis

- Shomesh E. Chaudhuri and Andrew W. Lo
- A comparison of the GB2 and skewed generalized log-t distributions with an application in finance

- Joshua D. Higbee and James McDonald
- Local regression distribution estimators

- Matias Cattaneo, Michael Jansson and Xinwei Ma
- Testing and relaxing the exclusion restriction in the control function approach

- D’Haultfœuille, Xavier, Stefan Hoderlein and Yuya Sasaki
- Using Wasserstein Generative Adversarial Networks for the design of Monte Carlo simulations

- Susan Athey, Guido W. Imbens, Jonas Metzger and Evan Munro
- Nonseparable sample selection models with censored selection rules

- Ivan Fernández-Val, Aico van Vuuren and Francis Vella
- Testing underidentification in linear models, with applications to dynamic panel and asset pricing models

- Frank Windmeijer
- On uniform inference in nonlinear models with endogeneity

- Shakeeb Khan and Denis Nekipelov
- Testing unconditional and conditional independence via mutual information

- Chunrong Ai, Li-Hsien Sun, Zheng Zhang and Liping Zhu
- Kernel density estimation for undirected dyadic data

- Bryan S. Graham, Fengshi Niu and James Powell
- One instrument to rule them all: The bias and coverage of just-ID IV

- Joshua Angrist and Michal Kolesár
- Is Newey–West optimal among first-order kernels?

- Thomas Kolokotrones, James H. Stock and Christopher D. Walker
- Instrumental variable estimation with first-stage heterogeneity

- Alberto Abadie, Jiaying Gu and Shu Shen
- Heterogeneity of consumption responses to income shocks in the presence of nonlinear persistence

- Manuel Arellano, Richard Blundell, Stéphane Bonhomme and Jack Light
- Assumption-lean falsification tests of rate double-robustness of double-machine-learning estimators

- Lin Liu, Rajarshi Mukherjee and James M. Robins
Volume 240, issue 1, 2024
- Likelihood approach to dynamic panel models with interactive effects

- Jushan Bai
- Locally robust inference for non-Gaussian linear simultaneous equations models

- Adam Lee and Geert Mesters
- Cross-section bootstrap for CCE regressions

- Ignace De Vos and Ovidijus Stauskas
- Bias in local projections

- Edward P. Herbst and Benjamin K. Johannsen
- Volatility of volatility and leverage effect from options

- Carsten H. Chong and Viktor Todorov
- Identification of a rational inattention discrete choice model

- Moyu Liao
- Time-varying multivariate causal processes

- Jiti Gao, Bin Peng, Wei Biao Wu and Yayi Yan
- Panel quantile regression for extreme risk

- Yanxi Hou, Xuan Leng, Liang Peng and Yinggang Zhou
- Enhanced pricing and management of bundled insurance risks with dependence-aware prediction using pair copula construction

- Peng Shi and Zifeng Zhao
- Classical p-values and the Bayesian posterior probability that the hypothesis is approximately true

- Brendan Kline
- Identifying the effects of a program offer with an application to Head Start

- Vishal Kamat
- A computational approach to identification of treatment effects for policy evaluation

- Sukjin Han and Shenshen Yang
- The variance of regression coefficients when the population is finite

- Richard Startz and Douglas Steigerwald
- Inference for low-rank completion without sample splitting with application to treatment effect estimation

- Jungjun Choi, Hyukjun Kwon and Yuan Liao
- Confidence intervals of treatment effects in panel data models with interactive fixed effects

- Xingyu Li, Yan Shen and Qiankun Zhou
- Panel data models with time-varying latent group structures

- Yiren Wang, Peter Phillips and Liangjun Su
- Non-representative sampled networks: Estimation of network structural properties by weighting

- Chih-Sheng Hsieh, Yu-Chin Hsu, Stanley I.M. Ko, Jaromír Kovářík and Trevon Logan
- Nonparametric estimation for high-frequency data incorporating trading information

- Wenhao Cui, Jie Hu and Jiandong Wang
- Robust inference on correlation under general heterogeneity

- Liudas Giraitis, Yufei Li and Peter Phillips
- Finite underidentification

- Enrique Sentana
- Time-varying forecast combination for factor-augmented regressions with smooth structural changes

- Qitong Chen, Yongmiao Hong and Haiqi Li
- High frequency principal component analysis based on correlation matrix that is robust to jumps, microstructure noise and asynchronous observation times

- Dachuan Chen
| | |
|