Robust ranking of happiness outcomes: a median regression perspective LY Chen, E Oparina, N Powdthavee, S Srisuma Journal of Economic Behavior & Organization 200, 672-686, 2022 | 81* | 2022 |
Living Long and Living Well: The WELLBY Approach R Layard, E Oparina World Happiness Report, 191, 2021 | 28 | 2021 |
Analyzing subjective well-being data with misclassification E Oparina, S Srisuma Journal of Business & Economic Statistics 40 (2), 730-743, 2022 | 19 | 2022 |
Machine learning in the prediction of human wellbeing E Oparina, C Kaiser, N Gentile, A Tkatchenko, AE Clark, J De Neve, ... University of Oxford, 2023 | 7* | 2023 |
The effect of adult psychological therapies on employment and earnings: Evidence from England K Rzepnicka, EL Sharland, M Rossa, T Dolby, E Oparina, R Saunders, ... medRxiv, 2025.01. 16.25320685, 2025 | | 2025 |
The Easterlin paradox at 50 E Oparina, AE Clark, R Layard CEP Discussion Papers, 2024 | | 2024 |
Empirical welfare analysis with hedonic budget constraints D Bhattacharya, E Oparina, Q Xu arXiv preprint arXiv:2411.01064, 2024 | | 2024 |
Talking Therapy: Impacts of a Nationwide Mental Health Service E Oparina, C Krekel, S Srisuma | | 2024 |
Police workload linked to victim statement withdrawals T Kirchmaier, E Oparina CentrePiece-The magazine for economic performance, 2024 | | 2024 |
Higher workload for police officers correlates with victims withdrawing statements T Kirchmaier, E Oparina British Politics and Policy at LSE, 2024 | | 2024 |
Under pressure: Victim withdrawal and police officer workload T Kirchmaier, E Oparina CEP Discussion Papers, 2024 | | 2024 |
Is there a W-shape in Wellbeing across the Lifespan? A Misclassification Approach E Oparina | | 2021 |
Econometric analysis of subjective wellbeing data E Oparina University of Surrey, 2021 | | 2021 |
Empirical analysis of civil servants wage and maintenance setting: evidence from Perm region E Oparina, A Panenko, A Kalinina International Journal of Economic Policy in Emerging Economies 11 (6), 596-609, 2018 | | 2018 |
Focus on the median, not the mean: A simple solution to the recent critiques on econometric analyses of subjective wellbeing data LY Chen, E Oparina, N Powdthavee, S Srisuma | | |