Showing 1 - 10 of 13
Persistent link: https://www.econbiz.de/10010394516
I introduce a model of undirected dyadic link formation which allows for assortative matching on observed agent characteristics (homophily) as well as unrestricted agent level heterogeneity in link surplus (degree heterogeneity). Like in fixed effects panel data analyses, the joint distribution...
Persistent link: https://www.econbiz.de/10011596621
Persistent link: https://www.econbiz.de/10011791229
Consider a bipartite network where N consumers choose to buy or not to buy M different products. This paper considers the properties of the logistic regression of the N ×M array of "i-buys-j" purchase decisions, [Yij ] 1≤i≤N,1≤j≤M, onto known functions of consumer and product attributes...
Persistent link: https://www.econbiz.de/10012295282
Consider a bipartite network where <i>N</i> consumers choose to buy or not to buy <i>M</i> different products. This paper considers the properties of the logistic regression of the <i>N</i> × <i>M</i> array of "i-buys-j" purchase decisions, <i>[Y<sub>ij</sub>]<sub>1≤i≤N,≤j≤M</sub></i>, onto known functions of consumer and product attributes...
Persistent link: https://www.econbiz.de/10012482182
Many economic activities are embedded in networks: sets of agents and the (often) rivalrous relationships connecting them to one another. Input sourcing by ?rms, interbank lending, scienti?c research, and job search are four examples, among many, of networked economic activities. Motivated by...
Persistent link: https://www.econbiz.de/10012137888
Consider a bipartite network where N consumers choose to buy or not to buy M different products. This paper considers the properties of the logit fit of the N ×M array of "i-buys-j" purchase decisions, Y = [Yij ]1≤i≤N,1≤j≤M , onto a vector of known functions of consumer and product...
Persistent link: https://www.econbiz.de/10013387359
Persistent link: https://www.econbiz.de/10015117865
Persistent link: https://www.econbiz.de/10012392212
Persistent link: https://www.econbiz.de/10012130924