The Econometrics Journal
2019 - 2025
Continuation of Econometrics Journal. Current editor(s): Jaap Abbring From Royal Economic Society Contact information at EDIRC. Bibliographic data for series maintained by Oxford University Press (). Access Statistics for this journal.
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Volume 23, issue 3, 2020
- Artificial intelligence as structural estimation: Deep Blue, Bonanza, and AlphaGo pp. S1-S24

- Mitsuru Igami
- Higher-order income dynamics with linked regression trees pp. S25-S58

- Jeppe Druedahl and Anders Munk-Nielsen
- Comparing deep neural network and econometric approaches to predicting the impact of climate change on agricultural yield pp. S59-S80

- Michael Keane and Timothy Neal
- Machine learning and structural econometrics: contrasts and synergies pp. S81-S124

- Fedor Iskhakov, John Rust and Bertel Schjerning
- Quantifying the impact of nonpharmaceutical interventions during the COVID-19 outbreak: The case of Sweden pp. 323-344

- Sang-Wook Cho
- Two-way exclusion restrictions in models with heterogeneous treatment effects pp. 345-362

- Shenglong Liu, Ismael Mourifié and Yuanyuan Wan
- Identifying present bias and time preferences with an application to land-lease-contract data1 pp. 363-385

- Pieter Gautier and Aico van Vuuren
- Semiparametric estimation of generalized transformation panel data models with nonstationary error pp. 386-402

- Xi Wang and Songnian Chen
- Editorial pp. Si-Siii

- Fedor Iskhakov, John Rust and Bertel Schjerning
Volume 23, issue 2, 2020
- Double/debiased machine learning for difference-in-differences models pp. 177-191

- Neng-Chieh Chang
- Optimal bandwidth choice for robust bias-corrected inference in regression discontinuity designs pp. 192-210

- Sebastian Calonico, Matias Cattaneo and Max Farrell
- Wild bootstrap for fuzzy regression discontinuity designs: obtaining robust bias-corrected confidence intervals pp. 211-231

- Yang He and Otavio Bartalotti
- Partial identification in nonseparable count data instrumental variable models pp. 232-250

- Dongwoo Kim
- Accelerated failure time models with log-concave errors pp. 251-268

- Ruixuan Liu and Zhengfei Yu
- Multilayer network analysis of oil linkages pp. 269-296

- Roberto Casarin, Matteo Iacopini, German Molina, Enrique ter Horst, Ramon Espinasa, Carlos Sucre and Roberto Rigobon
- Probabilistic forecasting of bubbles and flash crashes pp. 297-315

- Anurag Banerjee, Guillaume Chevillon and Marie Kratz
- The ignorant monopolist redux pp. 316-322

- Roger Koenker
Volume 23, issue 1, 2020
- Optimal data collection for randomized control trials pp. 1-31

- Pedro Carneiro, Sokbae (Simon) Lee and Daniel Wilhelm
- Inference on finite-population treatment effects under limited overlap pp. 32-47

- Han Hong, Michael Leung and Jessie Li
- Semi-parametric analysis of efficiency and productivity using Gaussian processes pp. 48-67

- Grigorios Emvalomatis
- Roy-model bounds on the wage effects of the Great Migration pp. 68-87

- John R Gardner
- Information technology outsourcing and firm productivity: eliminating bias from selective missingness in the dependent variable pp. 88-114

- Christoph Breunig, Michael Kummer, Joerg Ohnemus and Steffen Viete
- Initial conditions of dynamic panel data models: on within and between equations pp. 115-136

- Lung-fei Lee and Jihai Yu
- A new structural break test for panels with common factors pp. 137-155

- Huanjun Zhu, Vasilis Sarafidis and Mervyn J Silvapulle
- Kernel estimation for panel data with heterogeneous dynamics pp. 156-175

- Ryo Okui and Takahide Yanagi
- Erratum to: Semi-parametric analysis of efficiency and productivity using Gaussian processes pp. 176-176

- Grigorios Emvalomatis
Volume 22, issue 3, 2019
- A guided nonparametric goodness-of-fit test with application to income distributions pp. 207-222

- Kuangyu Wen and Ximing Wu
- Estimating latent group structure in time-varying coefficient panel data models pp. 223-240

- Jia Chen
- Quantile-based smooth transition value at risk estimation pp. 241-261

- Stefan Hubner and Pavel ČÞek
- BLP-2LASSO for aggregate discrete choice models with rich covariates pp. 262-281

- Benjamin J Gillen, Sergio Montero, Hyungsik Moon and Matthew Shum
- Fragility of identification in panel binary response models pp. 282-291

- Giovanni Forchini and Bin Jiang
- Reconsideration of a simple approach to quantile regression for panel data pp. 292-308

- Galina Besstremyannaya and Sergei Golovan
Volume 22, issue 2, 2019
- Testing collinearity of vector time series pp. 97-116

- Tucker McElroy and Agnieszka Jach
- On the role of covariates in the synthetic control method pp. 117-130

- Irene Botosaru and Bruno Ferman
- Quantile coherency: A general measure for dependence between cyclical economic variables pp. 131-152

- Jozef BarunÃk and Tobias Kley
- Inferential results for a new measure of inequality pp. 153-172

- Youri Davydov and Francesca Greselin
- Separating different individual effects in a panel data model pp. 173-187

- Christine Amsler and Peter Schmidt
- A simple, graphical approach to comparing multiple treatments pp. 188-205

- Brennan Thompson and Matthew Webb
Volume 22, issue 1, 2019
- Royal Economic Society Annual Conference 2017 Special Issue on Econometrics of Games pp. Ci-Ciii

- Jaap H Abbring
- Unobserved heterogeneity in auctions pp. C1-C19

- Philip Haile and Yuichi Kitamura
- Two-stage least squares as minimum distance pp. 1-9

- Frank Windmeijer
- Testing for constant correlation of filtered series under structural change pp. 10-33

- Matei Demetrescu and Dominik Wied
- High†dimensional macroeconomic forecasting and variable selection via penalized regression pp. 34-56

- Yoshimasa Uematsu and Shinya Tanaka
- Optimal panel unit root testing with covariates pp. 57-72

- Artūras Juodis and Joakim Westerlund
- Testing for moderate explosiveness pp. 73-95

- Gangzheng Guo, Yixiao Sun and Shaoping Wang
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