The Econometric Analysis of Network Data

The Econometric Analysis of Network Data serves as an entry point for advanced students, researchers and data scientists who are seeking to perform effective analyses of networks, especially inference problems. It introduces the key results and ideas in an accessible, yet rigorous way, confining formal proofs to extensively annotated appendices. While a multi-contributed reference, the work is tightly focused and disciplined, providing latitude for varied specialties in one authorial voice. Each of the six worked examples describes relevant computational tools and provides a number of illustrative examples that are supported by a companion site code repository. Answers both the 'why' and 'how' questions in network analysis Describes multiple worked examples from the literature and beyond, allowing empirical researchers and data scientists to quickly access the 'state-of-the-art' Supported by a companion site code repository that details simulations and representative empirical applications in Python, MATLAB and C++ Includes 40+ diagrams of 'networks in the wild' that help visually summarize key points

Produk Detail:

  • Author : Bryan Graham
  • Publisher : Academic Press
  • Pages : 320 pages
  • ISBN : 0128117710
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKThe Econometric Analysis of Network Data

The Econometric Analysis of Network Data

The Econometric Analysis of Network Data
  • Author : Bryan Graham,Aureo de Paula
  • Publisher : Academic Press
  • Release : 17 June 2019
GET THIS BOOKThe Econometric Analysis of Network Data

The Econometric Analysis of Network Data serves as an entry point for advanced students, researchers and data scientists who are seeking to perform effective analyses of networks, especially inference problems. It introduces the key results and ideas in an accessible, yet rigorous way, confining formal proofs to extensively annotated appendices. While a multi-contributed reference, the work is tightly focused and disciplined, providing latitude for varied specialties in one authorial voice. Each of the six worked examples describes relevant computational tools

The Econometric Analysis of Network Data

The Econometric Analysis of Network Data
  • Author : Bryan Graham,Aureo de Paula
  • Publisher : Academic Press
  • Release : 01 June 2020
GET THIS BOOKThe Econometric Analysis of Network Data

The Econometric Analysis of Network Data serves as an entry point for advanced students, researchers, and data scientists seeking to perform effective analyses of networks, especially inference problems. It introduces the key results and ideas in an accessible, yet rigorous way. While a multi-contributor reference, the work is tightly focused and disciplined, providing latitude for varied specialties in one authorial voice. Answers both ‘why’ and ‘how’ questions in network analysis, bridging the gap between practice and theory allowing for the

The Econometrics of Networks

The Econometrics of Networks
  • Author : Áureo de Paula,Elie Tamer,Marcel-Cristian Voia
  • Publisher : Emerald Group Publishing
  • Release : 19 October 2020
GET THIS BOOKThe Econometrics of Networks

Showcasing fresh methodological and empirical research on the econometrics of networks, and comprising both theoretical, empirical and policy papers, the authors in this volume bring together a wide range of perspectives to facilitate a dialogue between academics and practitioners for better understanding this groundbreaking field.

The Econometric Analysis of Transition Data

The Econometric Analysis of Transition Data
  • Author : Tony Lancaster
  • Publisher : Cambridge University Press
  • Release : 18 September 1990
GET THIS BOOKThe Econometric Analysis of Transition Data

This book presents statistical methods for analysis of the duration of events. The primary focus is on models for single-spell data, events in which individual agents are observed for a single duration. Some attention is also given to multiple-spell data. The first part of the book covers model specification, including both structural and reduced form models and models with and without neglected heterogeneity. The book next deals with likelihood based inference about such models, with sections on full and semiparametric

Econometric Analysis of Health Data

Econometric Analysis of Health Data
  • Author : Andrew M. Jones,Owen O'Donnell
  • Publisher : John Wiley & Sons
  • Release : 17 May 2002
GET THIS BOOKEconometric Analysis of Health Data

Given extensive use of individual level data in Health Economics, it has become increasingly important to understand the microeconometric techniques available to applied researchers. The purpose of this book is to give readers convenient access to a collection of recent contributions that contain innovative applications of microeconometric methods to data on health and health care. Contributions are selected from papers presented at the European Workshops on Econometrics and Health Economics and published in Health Economics. Topics covered include: * Latent Variables *

The Behavioral and Social Sciences

The Behavioral and Social Sciences
  • Author : National Research Council,Division of Behavioral and Social Sciences and Education,Commission on Behavioral and Social Sciences and Education,Committee on Basic Research in the Behavioral and Social Sciences
  • Publisher : National Academies Press
  • Release : 01 February 1988
GET THIS BOOKThe Behavioral and Social Sciences

This volume explores the scientific frontiers and leading edges of research across the fields of anthropology, economics, political science, psychology, sociology, history, business, education, geography, law, and psychiatry, as well as the newer, more specialized areas of artificial intelligence, child development, cognitive science, communications, demography, linguistics, and management and decision science. It includes recommendations concerning new resources, facilities, and programs that may be needed over the next several years to ensure rapid progress and provide a high level of returns

Spatial Dependence and Data-Driven Networks of International Banks

Spatial Dependence and Data-Driven Networks of International Banks
  • Author : Ben Craig,Martín Saldías
  • Publisher : International Monetary Fund
  • Release : 15 September 2016
GET THIS BOOKSpatial Dependence and Data-Driven Networks of International Banks

This paper computes data-driven correlation networks based on the stock returns of international banks and conducts a comprehensive analysis of their topological properties. We first apply spatial-dependence methods to filter the effects of strong common factors and a thresholding procedure to select the significant bilateral correlations. The analysis of topological characteristics of the resulting correlation networks shows many common features that have been documented in the recent literature but were obtained with private information on banks' exposures, including rich and

Accuracy in processing income tax

Accuracy in processing income tax
  • Author : Great Britain: National Audit Office
  • Publisher : The Stationery Office
  • Release : 06 July 2007
GET THIS BOOKAccuracy in processing income tax

This NAO report, examines the Department of HM Revenue and Customs accuracy in processing Self Assessment Tax forms and the PAYE scheme for Income Tax. In the 2006-07, the Department collected £149 billion in Income Tax, dealing with the tax affairs of some 36 million taxpayers. In total, £125 billion was collected via employers through the PAYE scheme and £24 billion from self employed people, and others with additional income through the Tax Self Assessment. The Department needs to spend about £1.7 billion per year

Econometric Analysis of Panel Data

Econometric Analysis of Panel Data
  • Author : Badi Baltagi
  • Publisher : John Wiley & Sons
  • Release : 30 June 2008
GET THIS BOOKEconometric Analysis of Panel Data

Written by one of the world's leading researchers and writers in the field, Econometric Analysis of Panel Data has become established as the leading textbook for postgraduate courses in panel data. This new edition reflects the rapid developments in the field covering the vast research that has been conducted on panel data since its initial publication. Featuring the most recent empirical examples from panel data literature, data sets are also provided as well as the programs to implement the estimation