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
Englisch

Bibliographic citation
Series: CoFE Discussion Paper ; No. 01/04

Classification
Wirtschaft
Subject
Innovation
Entscheidungstheorie
Mikroökonometrie
Nutzen
Theorie
Schätzung
Deutschland
Querschnittsanalyse

Event
Geistige Schöpfung
(who)
Hautsch, Nikolaus
Klotz, Stefan
Event
Veröffentlichung
(who)
University of Konstanz, Center of Finance and Econometrics (CoFE)
(where)
Konstanz
(when)
2001

Handle
URN
urn:nbn:de:bsz:352-opus-6690
Last update
10.03.2025, 11:44 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Hautsch, Nikolaus
  • Klotz, Stefan
  • University of Konstanz, Center of Finance and Econometrics (CoFE)

Time of origin

  • 2001

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