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Identifying network ties from panel data : theory and an application to tax competition
Paula, Áureo de; Rasul, Imran; Souza, Pedro C. L. - 2023
available and widely used datasets. We present results on the identification of social networks from observational panel data … are all globally identified. While this result is relevant across different estimation strategies, we then describe how … high-dimensional estimation techniques can be used to estimate the interactions model based on the Adaptive Elastic Net …
Persistent link: https://www.econbiz.de/10013489546
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Identifying network ties from panel data : theory and an application to tax competition
Paula, Áureo de; Rasul, Imran; Souza, Pedro C. L. - 2023
available and widely used datasets. We present results on the identification of social networks from observational panel data …-varying networks. We then describe how high-dimensional estimation techniques can be used to estimate the interactions model based on …
Persistent link: https://www.econbiz.de/10014380650
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Identifying network ties from panel data : theory and an application to tax competition
Paula, Áureo de; Rasul, Imran; Souza, Pedro C. L. - 2019
We present results on the identification of social networks from observational panel data that contains no information …. While this result is relevant across different estimation strategies, we then describe how high-dimensional estimation …
Persistent link: https://www.econbiz.de/10012111559
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Recovering social networks from panel data : identification, simulations and an application
Paula, Áureo de; Rasul, Imran; Souza, Pedro C. L. - 2018
the entire structure of social networks from observational panel data that contains no information on social ties between …-dimensional estimation techniques can be used to estimate the model based on the Adaptive Elastic Net GMM method. We showcase our method in …
Persistent link: https://www.econbiz.de/10011804938
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Recovering social networks from panel data : identification, simulations and an application
Paula, Áureo de; Rasul, Imran; Souza, Pedro C. L. - 2018
social networks from observational panel data that contains no information on social ties between agents. In the context of a … exogenous social effect parameters are all globally identified. While this result is relevant across different estimation … strategies, we then describe how high-dimensional estimation techniques can be used to estimate the model based on the Adaptive …
Persistent link: https://www.econbiz.de/10011912618
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Identifying network ties from panel data: Theory and an application to tax competition
De Paula, Áureo; Rasul, Imran; Souza, Pedro C. L. - 2023
available and widely used datasets. We present results on the identification of social networks from observational panel data … are all globally identified. While this result is relevant across different estimation strategies, we then describe how … high-dimensional estimation techniques can be used to estimate the interactions model based on the Adaptive Elastic Net …
Persistent link: https://www.econbiz.de/10014302518
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Recovering Social Networks from Panel Data : Identification, Simulations and an Application
de Paula, Aureo - 2019
the entire structure of social networks from observational panel data that contains no information on social ties between …-dimensional estimation techniques can be used to estimate the model based on the Adaptive Elastic Net GMM method. We showcase our method in …
Persistent link: https://www.econbiz.de/10012894157
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Spatial interactions
Kim, Jun Sung; Patacchini, Eleonora; Picard, Pierre M.; … - 2022
This paper studies how the strength of social ties are affected by the geographical location of other individuals and their social capital. We characterize the equilibrium in terms of both social interactions and social capital. We show that lower travel costs increase not only the interaction...
Persistent link: https://www.econbiz.de/10013264823
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Cities and the structure of social interactions : evidence from mobile phone data
Büchel, Konstantin; Ehrlich, Maximilian von - 2016
Social interactions are considered pivotal to urban agglomeration forces. This study employs a unique dataset on mobile phone calls to examine how social interactions differ across cities and peripheral areas. We first show that geographical distance is highly detrimental to interpersonal...
Persistent link: https://www.econbiz.de/10011574053
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Peer effects heterogeneity and social networks in education
Shkoza, Livia; Uysal, Selver Derya; Pohlmeier, Winfried - 2023
This study focuses on the role of heterogeneity in network peer effects by accounting for network-specific factors and different driving mechanisms of peer behavior. We propose a novel Multivariate Instrumental Variable (MVIV) estimator which is consistent for a large number of networks keeping...
Persistent link: https://www.econbiz.de/10014496412