Ruofan Xu, Jiti Gao, Tatsushi Oka, Yoon-Jae Whang
arXiv 7 Aug 2022 · Econometrics · publishedEconometric Reviews (2024)
arXiv:2208.03632 · PDF · DOI · OpenAlex · Extracted main text
We propose a quantile random-coefficient regression with interactive fixed effects to study the effects of group-level policies that are heterogeneous across individuals. Our approach is the first to use a latent factor structure to handle the unobservable heterogeneities in the random coefficient. The asymptotic properties and an inferential method for the policy estimators are established. The model is applied to evaluate the effect of the minimum wage policy on earnings between 1967 and 1980 in the United States. Our results suggest that the minimum wage policy has significant and persistent positive effects on black workers and female workers up to the median. Our results also indicate that the policy helps reduce income disparity up to the median between two groups: black, female workers versus white, male workers. However, the policy is shown to have little effect on narrowing the income gap between low- and high-income workers within the subpopulations.
appendix boundary found by appendix_command · 30% of the source is main text. Read the extracted text to check this.
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 | Derenoncourt, E. and C. Montialoux (2021) Minimum wages and racial inequality | 0.950 | 14 | 4 | 86% |
| 2 | Bai, J (2009) Panel data models with interactive fixed effects | 0.923 | 14 | 5 | 79% |
| 3 | Chetverikov, D., B. Larsen, and C. Palmer (2016) IV quantile regression for group–level treatments, with an application to the distributional effects of trade | 0.855 | 8 | 5 | 62% |
| 4 | Ando, T. and J. Bai (2020) Quantile co-movement in financial markets: a panel quantile model with unobserved heterogeneity | 0.843 | 3 | 3 | 100% |
| 5 | Gobillon, L. and T. Magnac (2016) Regional policy evaluation: interactive fixed effects and synthetic controls | 0.811 | 4 | 2 | 100% |
| 6 | Card, D. and A. B. Krueger (1992) School quality and black-white relative earnings: a direct assessment | 0.737 | 3 | 3 | 67% |
| 7 | Chen, L., J. J. Dolado, and J. Gonzalo (2021) Quantile factor models | 0.737 | 3 | 3 | 67% |
| 8 | Koenker, R. and J. G. Bassett (1978) Regression quantiles | 0.737 | 3 | 2 | 100% |
| 9 | Jiang, B., Y. Yang, J. Gao, and C. Hsiao (2021) Recursive estimation in large panel data models: theory and practice | 0.644 | 4 | 2 | 50% |
| 10 | Arellano, M. and S. Bonhomme (2016) Nonlinear panel data estimation via quantile regressions | 0.644 | 2 | 2 | 100% |
Showing the top 10 of 45 scored citations.
arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.
| Citing paper | Intensity | Mentions | Sections | |
|---|---|---|---|---|
| 1 | On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization | 0.405 | 1 | 1 |