The DOI matches its Crossref record.
Regression Models: Censored, Sample Selected, or Truncated Data.
Abstract
What techniques can social scientists use when an outcome variable for a sample is not representative of the population for whom they would like to generalize the results? This book provides an introduction to regression models for such data including censored, sample-selected and truncated data.
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Cited by
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Albonetti, C. A. (1997) · Law & Society Review · doi:10.2307/3053987 · Cited by 459
Nieto, M. J., & SantamarÃa, L. (2010) · Journal of Small Business Management · doi:10.1111/j.1540-627x.2009.00286.x · Cited by 444
Gender Differences in the Correlates of Volunteering and Charitable Giving
Einolf, C. J. (2011) · Nonprofit and Voluntary Sector Quarterly · doi:10.1177/0899764010385949 · Cited by 396
Does it matter who answers the race question? Racial classification and income inequality in Brazil
Telles, E. E., & Lim, N. (1998) · Demography · doi:10.2307/3004014 · Cited by 280
Metadata
- Authors
- Haugh, L. D., & Breen, R.
- Venue
- Journal of the American Statistical Association
- Publisher
- JSTOR
- Published
- 1997-03
- Volume
- 92
- Issue
- 437
- Pages
- 388
- ISSN
- 0162-1459 (ISSN-L)
- OpenAlex
- W2068901263
- Cited by
- 364
- References
- 0
- FWCI
- 10.26
- Type
- journal article
- Language
- en
- Open access
- closed
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- Haugh, L. D., & Breen, R. (1997). Regression Models: Censored, Sample Selected, or Truncated Data. Journal of the American Statistical Association. https://doi.org/10.2307/2291492
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.