Combining Micro and Macro Data in Microeconometric Models

Combining Micro and Macro Data in Microeconometric Models

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 tha...

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Veröffentlicht in:The Review of economic studies 1994-10, Vol.61 (4), p.655-680
Hauptverfasser: Imbens, Guido W., Lancaster, Tony
Format: Artikel
Sprache:eng
Schlagworte:
Conditional probabilities
Data sampling
Datasets
Estimators
Mathematical moments
Maximum likelihood estimation
Maximum likelihood estimators
Method of moments
Random sampling
Statistical variance
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Beschreibung
Zusammenfassung: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.
ISSN:0034-6527
1467-937X
DOI:10.2307/2297913