Name: The Econometrics of Networks (Advances in Econometrics) (en Inglés)
SKU: 53477162
Price: 2771.51 MXN
Availability: InStock
ISBN: 9781838675769

portada The Econometrics of Networks (Advances in Econometrics) (en Inglés)

The Econometrics of Networks (Advances in Econometrics) (en Inglés)

Formato

Libro Físico

Editorial

Emerald Publishing

Autor

Año

2020

Idioma

Inglés

N° páginas

496

Encuadernación

Tapa Dura

ISBN13

9781838675769

Categorías

Econometría

The Econometrics of Networks (Advances in Econometrics) (en Inglés)

- (Autor) · Emerald Publishing · Tapa Dura

Libro Nuevo Importado

Envío: 14 a 19 días háb.

$ 6,141.47$ 2,771.51

-55%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan más de 100 unidades

$ 2,771.51

¡Envío Gratis! Llega entre el 26 Nov y el 04 Dic a CUAUHTÉMOC, Ciudad de México. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "The Econometrics of Networks (Advances in Econometrics) (en Inglés)"

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.