Le-Yu Chen, Ekaterina Oparina, Nattavudh Powdthavee, Sorawoot Srisuma
arXiv 20 Feb 2019 · Econometrics · publishedJournal of Economic Behavior & Organization (2022) · 27 citations (OpenAlex)
arXiv:1902.07696 · PDF · DOI · OpenAlex · Extracted main text
Ordered probit and logit models have been frequently used to estimate the mean ranking of happiness outcomes (and other ordinal data) across groups. However, it has been recently highlighted that such ranking may not be identified in most happiness applications. We suggest researchers focus on median comparison instead of the mean. This is because the median rank can be identified even if the mean rank is not. Furthermore, median ranks in probit and logit models can be readily estimated using standard statistical softwares. The median ranking, as well as ranking for other quantiles, can also be estimated semiparametrically and we provide a new constrained mixed integer optimization procedure for implementation. We apply it to estimate a happiness equation using General Social Survey data of the US.
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The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | Lee, M. J (1992) Median regression for ordered discrete response | 1.000 | 6 | 4 | 100% |
| 2 | Florios, K. and Skouras, S (2008) Exact computation of max weighted score estimators | 0.928 | 4 | 3 | 100% |
| 3 | Manski, C. F (1985) Semiparametric analysis of discrete response: Asymptotic properties of the maximum score estimator | 0.928 | 4 | 3 | 100% |
| 4 | Ferrer-i-Carbonell, A (2005) Income and well-being: an empirical analysis of the comparison income effect | 0.843 | 3 | 3 | 100% |
| 5 | Blanchflower, D. G. and Oswald, A. J (2004) Well-being over time in Britain and the USA | 0.737 | 3 | 2 | 100% |
| 6 | Bond, T. N. and Lang, K (2019) The Sad Truth about Happiness Scales | 0.644 | 2 | 2 | 100% |
| 7 | Di Tella, R., MacCulloch, R. J., and Oswald, A. J (2001) Preferences over Inflation and Unemployment: Evidence from Surveys of Happiness | 0.644 | 2 | 2 | 100% |
| 8 | Ferrer-i-Carbonell, A. and Frijters, P (2004) How Important is Methodology for the estimates of the determinants of Happiness? | 0.644 | 2 | 2 | 100% |
| 9 | Greene, W. H. and Hensher, D. A (2010) Modeling Ordered Choices: A Primer | 0.644 | 2 | 2 | 100% |
| 10 | Horowitz, J. L (2009) Semiparametric and Nonparametric Methods in Econometrics | 0.644 | 2 | 2 | 100% |
Showing the top 10 of 75 scored citations.
arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.
| Citing paper | Intensity | Mentions | Sections | |
|---|---|---|---|---|
| 1 | Human Wellbeing and Machine Learning | 0.405 | 1 | 1 |
| 2 | Comparing latent inequality with ordinal data | 0.405 | 1 | 1 |