The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Combining Micro and Macro Data in Microeconometric Models
Abstract
Census reports can be interpreted as providing nearly exact knowledge of moments of the marginal distribution of economic variables. This information can be combined with cross-sectional or panel samples to improve accuracy of estimation. In this paper we show how to do this efficiently. We show that the gains from use of marginal information can be substantial. We also discuss how to test the compatibility of sample and marginal information.
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Cites
Specification Tests in Econometrics
Hausman, J. A. (1978) · Econometrica · doi:10.2307/1913827 · Cited by 18,820
Testing for neglected heterogeneity
Chesher, A. (1984) · Econometrica · doi:10.2307/1911188 · Cited by 251
Cited by
Empirical Strategies in Labor Economics
Angrist, J. D., & Krueger, A. B. (1999) · Handbook of Labor Economics · doi:10.1016/s1573-4463(99)03004-7 · Cited by 1,628
Improving main analysis by borrowing information from auxiliary data
Chen, C., Han, P., & He, F. (2022) · Statistics in Medicine · doi:10.1002/sim.9252 · Cited by 18
Metadata
- Authors
- Imbens, G. W., & Lancaster, T.
- Venue
- The Review of Economic Studies
- Publisher
- Oxford University Press (OUP)
- Published
- 1994-10-01
- Volume
- 61
- Issue
- 4
- Pages
- 655-680
- ISSN
- 0034-6527 (ISSN-L)
- 1467-937X
- OpenAlex
- W2079816493
- Cited by
- 249
- References
- 2
- FWCI
- 3.74
- Type
- journal article
- Language
- en
- Open access
- closed
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- Imbens, G. W., & Lancaster, T. (1994). Combining Micro and Macro Data in Microeconometric Models. The Review of Economic Studies. https://doi.org/10.2307/2297913
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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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