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Heap : a command for estimating discrete outcome variable models in the presence of heaping at known points
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Yan, Zizhong, Arulampalam, Wiji, Corradi, Valentina and Gutknecht, Daniel (2020) Heap : a command for estimating discrete outcome variable models in the presence of heaping at known points. Stata Journal, 20 (2). pp. 435-467. doi:10.1177/1536867X20931005 ISSN 1536-867X.
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WRAP-heap-command-estimating-discrete-outcome-points-Arulampalam-2020.pdf - Accepted Version - Requires a PDF viewer. Download (1107Kb) | Preview |
Official URL: https://doi.org/10.1177/1536867X20931005
Abstract
Self-reported survey data are often plagued by the presence of heaping. Accounting for this measurement error is crucial for the identification and consistent estimation of the underlying model (parameters) from such data. In this article, we introduce two commands. The first command, heapmph, estimates the parameters of a discrete-time mixed proportional hazard model with gammaunobserved heterogeneity, allowing for fixed and individual-specific censoring and different-sized heap points. The second command, heapop, extends the framework to ordered choice outcomes, subject to heaping. We also provide suitable specification tests.
| Item Type: | Journal Article | |||||||||
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| Subjects: | Q Science > QA Mathematics | |||||||||
| Divisions: | Faculty of Social Sciences > Economics | |||||||||
| Library of Congress Subject Headings (LCSH): | Heaps (Mathematics), Discrete-time systems, Error analysis (Mathematics), Surveys | |||||||||
| Journal or Publication Title: | Stata Journal | |||||||||
| Publisher: | Stata Press ; Sage | |||||||||
| ISSN: | 1536-867X | |||||||||
| Official Date: | 19 June 2020 | |||||||||
| Dates: |
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| Volume: | 20 | |||||||||
| Number: | 2 | |||||||||
| Page Range: | pp. 435-467 | |||||||||
| DOI: | 10.1177/1536867X20931005 | |||||||||
| Status: | Peer Reviewed | |||||||||
| Publication Status: | Published | |||||||||
| Reuse Statement (publisher, data, author rights): | Posted ahead of print. Yan, Zizhong, Arulampalam, Wiji, Corradi, Valentina and Gutknecht, Daniel (2020) Heap : a command for estimating discrete outcome variable models in the presence of heaping at known points. Stata Journal . Copyright © 2020 StataCorp LLC. Reprinted by permission of SAGE Publications. https://doi.org/10.1177/1536867X20931005 | |||||||||
| Access rights to Published version: | Restricted or Subscription Access | |||||||||
| Copyright Holders: | copyright © by StataCorp LLC. | |||||||||
| Date of first compliant deposit: | 29 January 2020 | |||||||||
| Date of first compliant Open Access: | 12 February 2020 | |||||||||
| RIOXX Funder/Project Grant: |
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