Homophily and Transitivity in Dynamic Network Formation / Bryan S. Graham.
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- C1 - Econometric and Statistical Methods and Methodology: General
- C14 - Semiparametric and Nonparametric Methods: General
- C23 - Panel Data Models • Spatio-temporal Models
- C25 - Discrete Regression and Qualitative Choice Models • Discrete Regressors • Proportions • Probabilities
- D85 - Network Formation and Analysis: Theory
- Hardcopy version available to institutional subscribers
Item type | Home library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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Working Paper | Biblioteca Digital | Colección NBER | nber w22186 (Browse shelf(Opens below)) | Not For Loan |
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April 2016.
In social and economic networks linked agents often share additional links in common. There are two competing explanations for this phenomenon. First, agents may have a structural taste for transitive links -- the returns to linking may be higher if two agents share links in common. Second, agents may assortatively match on unobserved attributes, a process called homophily. I study parameter identifiability in a simple model of dynamic network formation with both effects. Agents form, maintain, and sever links over time in order to maximize utility. The return to linking may be higher if agents share friends in common. A pair-specific utility component allows for arbitrary homophily on time-invariant agent attributes. I derive conditions under which it is possible to detect the presence of a taste for transitivity in the presence of assortative matching on unobservables. I leave the joint distribution of the initial network and the pair-specific utility component, a very high dimensional object, unrestricted. The analysis is of the `fixed effects' type. The identification result is constructive, suggesting an analog estimator, whose single large network properties I characterize.
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