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In this paper, we extend the GMM framework for the estimation of the mixed-regressive spatial autoregressive model by Lee(2007a) to estimate a high order mixed-regressive spatial autoregressive model with spatial autoregressive disturbances. Identification of such a general model is considered....
Persistent link: https://www.econbiz.de/10008496677
This paper considers the specification and estimation of social interaction models with network structures and the presence of endogenous, contextual and correlated effects. With macro group settings, group-specific fixed effects are also incorporated in the model. The network structure provides...
Persistent link: https://www.econbiz.de/10008458621
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In this paper, first the axiomatic fuzzy set (AFS) clustering method [X.D. Liu, W. Wang, T.Y. Chai, The fuzzy clustering analysis based on AFS theory, IEEE Transactions on Systems, Man and Cybernetics Part B 35 (5) (2005) 1013-1027] is investigated further by improving the algorithm to be more...
Persistent link: https://www.econbiz.de/10005257396
Following a group of young adults aged 25–34 living with their parents in the American Housing Survey (AHS) data from 1985 through 1995, this paper investigates the effect of overcrowding and neighborhood satisfaction on household formation after controlling for local rental levels and...
Persistent link: https://www.econbiz.de/10005258951
We study the impact of research collaborations in coauthorship networks on research output and how optimal funding can maximize it. Through the links in the collaboration network, researchers create spillovers not only to their direct coauthors but also to researchers indirectly linked to them....
Persistent link: https://www.econbiz.de/10011932059
We analyze R&D collaboration networks in industries where firms are competitors in the product market. Firms' benefits from collaborations arise by sharing knowledge about a cost-reducing technology. By forming collaborations, however, firms also change their own competitive position in the...
Persistent link: https://www.econbiz.de/10011429537
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