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Demand Systems Estimation With Microdata: A Censored Regression Approach
Abstract
Demand systems estimation increasingly makes use of household-level microdata, mainly to measure the effects of demographic variables. Data based on these household-expenditure surveys present a major estimation problem. For any given household, many of the goods have zero consumption, implying a censored dependent variable. Techniques which do not take this censored dependent variable into account will yield biased results. We utilize a censored regression approach that is computationally simple, consistent, and asymptotically efficient. The results are then presented and compared with those obtained using an uncensored technique.
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Cited by
Andreyeva, T., Long, M. W., & Brownell, K. D. (2010) · American Journal of Public Health · doi:10.2105/ajph.2008.151415 · Cited by 1,141
Equivalence scales, the cost of children and household consumption patterns in Italy
Balli, F., & Tiezzi, S. (2010) · Review of Economics of the Household · doi:10.1007/s11150-009-9068-3 · Cited by 20
Metadata
- Authors
- Heien, D., & Wesseils, C. R.
- Venue
- Journal of Business & Economic Statistics
- Publisher
- Informa UK Limited
- Published
- 1990-07
- Volume
- 8
- Issue
- 3
- Pages
- 365-371
- ISSN
- 0735-0015 (ISSN-L)
- 1537-2707
- OpenAlex
- W2002934926
- Cited by
- 461
- References
- 0
- FWCI
- 7.58
- Type
- journal article
- Language
- en
- Open access
- closed
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- Heien, D., & Wesseils, C. R. (1990). Demand Systems Estimation With Microdata: A Censored Regression Approach. Journal of Business & Economic Statistics. https://doi.org/10.1080/07350015.1990.10509807
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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