The Econometrics of networks

This volume in Advances in Econometrics showcases fresh methodological and empirical research on the econometrics of networks. Comprising both theoretical, empirical and policy papers, the authors bring together a wide range of perspectives to facilitate a dialogue between academics and practitioner...

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Bibliographic Details
Other Authors: Paula, Áureo de (Editor), Tamer, Elie (Editor), Voia, Marcel-Cristian (Editor)
Format: eBook
Language:English
Published: Bingley, U.K. Emerald Publishing Limited 2020
Series:Advances in econometrics
Subjects:
Online Access:
Collection: Emerald Business, Management and Economics eBook Collection Archive - Collection details see MPG.ReNa
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100 1 |a Paula, Áureo de  |e [editor] 
245 0 0 |a The Econometrics of networks  |h Elektronische Ressource  |c edited by Áureo de Paula ( University College London, UK), Elie Tamer (Harvard University, USA) and Marcel-Cristian Voia (University of Angers, Canada) 
260 |a Bingley, U.K.  |b Emerald Publishing Limited  |c 2020 
300 |a 496 pages 
505 0 |a Section 1: Identification of network models -- Chapter 1: Identification and estimation of network models with different between and within-type interactions; Tiziano Arduini, Eleonora Patacchini and Edoardo Rainone -- Chapter 2: Identification methods for social interactions models with unknown networks; Hon Ho Kwok -- Chapter 3: Snowball sampling and sample selection in a social network; TszKin Julian Chan -- Section 2: Network formation -- Chapter 4: Trade networks and the strength of strong ties; Aureo de Paula -- Chapter 5: Application and computation of a flexible class of network formation models; Seth Richards-Shubik -- Section 3: Networks and spatial econometrics -- Chapter 6: Implementing Faustmann-Marshall-Pressler at scale: stochastic dynamic programming in space; Harry J. Paarsch and John Rust -- Chapter 7: A spatial panel model of bank branches in Canada; Heng Chen and Matthew Strathearn -- Chapter 8: Full-information Bayesian estimation of cross-sectional sample selection models; Sophia Ding and Peter Egger -- Chapter 9: Survival analysis of banknote circulation: fitness, network structure, and machine learning; Diego Rojas, Juan Estrada, Kim Pl Huynh and David T. Jacho-Chavez -- Section 4: Applications of financial networks -- Chapter 10: Financial contagion in cross-holdings networks: the case of Ecuador; Pablo Estrada and Leonardo Sanchez-Aragon -- Chapter 11: Estimating spillover effects with bilateral outcomes; Edoardo Rainone -- Chapter 12: Interconnectedness through the lens of consumer credit markets; Anson T.Y. Ho -- Chapter 13: FRM financial risk meter; Andrija Mihoci, Michael Althof, Cathy Yi-Hsuan Chen and Wolfgang Karl Hardle 
505 0 |a Includes bibliographical references 
653 |a Business & Economics / Econometrics / bisacsh 
653 |a Econometric models 
653 |a Econometrics / bicssc 
653 |a Econometrics 
700 1 |a Tamer, Elie  |e [editor] 
700 1 |a Voia, Marcel-Cristian  |e [editor] 
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490 0 |a Advances in econometrics 
500 |a Includes index 
856 4 0 |u https://doi.org/10.1108/s0731-9053202042  |x Verlag  |3 Volltext 
082 0 |a 330.028 
520 |a This volume in Advances in Econometrics showcases fresh methodological and empirical research on the econometrics of networks. Comprising both theoretical, empirical and policy papers, the authors bring together a wide range of perspectives to facilitate a dialogue between academics and practitioners for better understanding this groundbreaking field and its role in policy discussions. This edited collection includes thirteen chapters which covers various topics such as identification of network models, network formation, networks and spatial econometrics and applications of financial networks. Readers can also learn about network models with different types of interactions, sample selection in social networks, trade networks, stochastic dynamic programming in space, spatial panels, survival and networks, financial contagion, spillover effects, interconnectedness on consumer credit markets and a financial risk meter. The topics covered in the book, centered on the econometrics of data and models, are a valuable resource for graduate students and researchers in the field. The collection is also useful for industry professionals and data scientists due its focus on theoretical and applied works