Arbeitspapier
Estimating the Neighborhood Influence on Decision Makers: Theory and an Application on the Analysis of Innovation Decisions
When making decisions, agents tend to make use of decisions others have made in similar situations. Ignoring this behavior in empirical models can be interpreted as a problem of omitted variables and may seriously bias parameter estimates and harm inference. We suggest a possibility of integrating such outside in uences into models of discrete choice decisions by defining an abstract space in which agents with similar characteristics are neighbors who possibly in uence each other. In order to correct for correlations between the characteristics, the design of this space allows for nonorthogonality of its dimensions. Several Monte Carlo simulations show the small sample properties of spatial models with binary choice. When applying the estimator to innovation decisions data of German firms, we find evidence for the existence of neighborhood effects.
- Language
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Englisch
- Bibliographic citation
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Series: CoFE Discussion Paper ; No. 01/04
- Classification
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Wirtschaft
- Subject
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Innovation
Entscheidungstheorie
Mikroökonometrie
Nutzen
Theorie
Schätzung
Deutschland
Querschnittsanalyse
- Event
-
Geistige Schöpfung
- (who)
-
Hautsch, Nikolaus
Klotz, Stefan
- Event
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Veröffentlichung
- (who)
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University of Konstanz, Center of Finance and Econometrics (CoFE)
- (where)
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Konstanz
- (when)
-
2001
- Handle
- URN
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urn:nbn:de:bsz:352-opus-6690
- Last update
-
10.03.2025, 11:44 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Hautsch, Nikolaus
- Klotz, Stefan
- University of Konstanz, Center of Finance and Econometrics (CoFE)
Time of origin
- 2001