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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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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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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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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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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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Strategic Local Tax Interactions : Do Quality of Life Matters?
Delgado, Francisco J. - 2015
The aim of this paper is to study the role of municipal quality of life as a driver of tax strategic interactions among local governments. The analysis is focused on the two main local taxes in Spain - property tax and motor vehicle tax - and on the municipalities above 50,000 inhabitants....
Persistent link: https://www.econbiz.de/10013025978
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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
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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