arXiv 22 Feb 2019 · Econometrics · 7 citations (OpenAlex)
arXiv:1902.08350 · PDF · DOI · OpenAlex · Extracted main text
We bound features of counterfactual choices in the nonparametric random utility model of demand, i.e. if observable choices are repeated cross-sections and one allows for unrestricted, unobserved heterogeneity. In this setting, tight bounds are developed on counterfactual discrete choice probabilities and on the expectation and c.d.f. of (functionals of) counterfactual stochastic demand.
appendix boundary found by none_found · 100% 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 | Kitamura and Stoye (2018) Nonparametric Analysis of Random Utility Models | 1.000 | 5 | 3 | 100% |
| 2 | Adams (2019) Mutually consistent revealed preference demand predictions | 0.737 | 3 | 2 | 100% |
| 3 | McFadden (2005) Revealed Stochastic Preference: A Synthesis | 0.737 | 3 | 2 | 100% |
| 4 | Manski (2007) Partial Identification Of Counterfactual Choice Probabilities | 0.644 | 2 | 2 | 100% |
| 5 | McFadden and Richter (1991) Stochastic rationality and revealed stochastic preference | 0.644 | 2 | 2 | 100% |
| 6 | Blundell, Browning, and Crawford (2008) Best Nonparametric Bounds on Demand Responses | 0.405 | 1 | 1 | 100% |
| 7 | Deb, Kitamura, Quah, and Stoye (2018) Revealed Price Preference: Theory and Empirical Analysis | 0.405 | 1 | 1 | 100% |
| 8 | Hoderlein and Stoye (2015) Testing stochastic rationality and predicting stochastic demand: the case of two goods | 0.405 | 1 | 1 | 100% |
| 9 | Hubner (2019) It's complicated: A Nonparametric Test of Preference Stability between Singles and Couples | 0.405 | 1 | 1 | 100% |
| 10 | Kitamura and Stoye (2013) Nonparametric Analysis of Random Utility Models: Testing | 0.405 | 1 | 1 | 100% |
Showing the top 10 of 15 scored citations.
arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.