arXiv 12 Nov 2023 · Econometrics
arXiv:2311.06831 · PDF · DOI · OpenAlex · Extracted main text
Latent variable models are widely used to account for unobserved determinants of economic behavior. This paper introduces a quasi-Bayes approach to nonparametrically estimate a large class of latent variable models. As an application, we model U.S. individual log earnings from the Panel Study of Income Dynamics (PSID) as the sum of latent permanent and transitory components. Simulations illustrate the favorable performance of quasi-Bayes estimators relative to common alternatives.
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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 | Bonhomme, Stéphane and Jean-Marc Robin (2010) Generalized non-parametric deconvolution with an application to earnings dynamics | 1.000 | 14 | 6 | 100% |
| 2 | Arellano, Manuel, Richard Blundell, and Stéphane Bonhomme (2017) Earnings and consumption dynamics: a nonlinear panel data framework | 1.000 | 7 | 4 | 100% |
| 3 | Gu, Jiaying and Roger Koenker (2023) Invidious comparisons: Ranking and selection as compound decisions | 0.928 | 4 | 4 | 100% |
| 4 | Arellano, Manuel and Stéphane Bonhomme (2023) Recovering latent variables by matching | 0.928 | 4 | 3 | 100% |
| 5 | Chernozhukov, Victor and Han Hong (2003) An MCMC approach to classical estimation | 0.928 | 4 | 3 | 100% |
| 6 | Rousseau, Judith and Catia Scricciolo (2024) Wasserstein convergence in Bayesian and frequentist deconvolution models | 0.928 | 4 | 3 | 100% |
| 7 | Horowitz, Joel L and Marianthi Markatou (1996) Semiparametric estimation of regression models for panel data | 0.843 | 3 | 3 | 100% |
| 8 | Shen, Weining, Surya T Tokdar, and Subhashis Ghosal (2013) Adaptive Bayesian multivariate density estimation with Dirichlet mixtures | 0.811 | 4 | 2 | 100% |
| 9 | Ghosal, Subhashis and Aad Van Der Vaart (2017) Fundamentals of nonparametric Bayesian Inference | 0.763 | 9 | 3 | 44% |
| 10 | Cunha, Flavio, James J Heckman, and Susanne Schennach (2010) Estimating the technology of cognitive and noncognitive skill formation | 0.737 | 3 | 2 | 100% |
Showing the top 10 of 61 scored citations.
arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.
| Citing paper | Intensity | Mentions | Sections | |
|---|---|---|---|---|
| 1 | Semiparametric Bayesian Inference for a Conditional Moment Equality Model | 0.405 | 1 | 1 |
| 2 | Compound decisions and empirical Bayes via Bayesian nonparametrics | 0.405 | 1 | 1 |