Understanding State and National Growth Co-Movement: A Study of Shared ATM Networks in the United States.

Prior theoretical work on networks and technology standards suggests that network effects may be viewed as a source of business value and an important element in the valuation of network goods. This study examines the co-movement between network growth at the economy level and in various local marke...

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Main Authors: KAUFFMAN, Robert John, Kumar, A.
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Language:English
Published: Institutional Knowledge at Singapore Management University 2008
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Online Access:https://ink.library.smu.edu.sg/sis_research/2762
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spelling sg-smu-ink.sis_research-37622015-11-12T06:48:07Z Understanding State and National Growth Co-Movement: A Study of Shared ATM Networks in the United States. KAUFFMAN, Robert John Kumar, A. Prior theoretical work on networks and technology standards suggests that network effects may be viewed as a source of business value and an important element in the valuation of network goods. This study examines the co-movement between network growth at the economy level and in various local markets. We perform an historical analysis of CIRRUS and PLUS, the two largest nationally shared electronic banking networks from the 1980s to the present day, as a means to study regional contagion effects in network growth. We argue that that the perceived business value of a network or technology standard may exhibit spatial differences for firms operating in different markets, and that this may influence aggregate patterns of network technology diffusion. We employ near vector autoregression (NVAR), a variation of vector autoregression (VAR), as a means to gauge the strength of cross-market co-movement patterns. We also develop NVAR time-series models of the growth of CIRRUS and PLUS at the state and national levels, followed by the application of a variance decomposition (VDC) technique that permits us to infer the presence of contagion effects. Our results suggest that the number of account holders, the extent of education and tourism, network service coverage, and market concentration in local markets are drivers of the observed state-to-nation co-movement. We also discuss the broader opportunities that are available for applying the methodology that is presented, including some extensions that will permit the development of additional managerial and policy insights, and expansion to include other kinds of technologies. 2008-01-01T08:00:00Z text https://ink.library.smu.edu.sg/sis_research/2762 info:doi/10.1016/j.elerap.2007.02.008 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Business policy analysis Econometrics Electronic banking Macroeconomic analysis Network technologies Regional contagion Standards Variance decomposition Vector autoregression Computer Sciences
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Business policy analysis
Econometrics
Electronic banking
Macroeconomic analysis
Network technologies
Regional contagion
Standards
Variance decomposition
Vector autoregression
Computer Sciences
spellingShingle Business policy analysis
Econometrics
Electronic banking
Macroeconomic analysis
Network technologies
Regional contagion
Standards
Variance decomposition
Vector autoregression
Computer Sciences
KAUFFMAN, Robert John
Kumar, A.
Understanding State and National Growth Co-Movement: A Study of Shared ATM Networks in the United States.
description Prior theoretical work on networks and technology standards suggests that network effects may be viewed as a source of business value and an important element in the valuation of network goods. This study examines the co-movement between network growth at the economy level and in various local markets. We perform an historical analysis of CIRRUS and PLUS, the two largest nationally shared electronic banking networks from the 1980s to the present day, as a means to study regional contagion effects in network growth. We argue that that the perceived business value of a network or technology standard may exhibit spatial differences for firms operating in different markets, and that this may influence aggregate patterns of network technology diffusion. We employ near vector autoregression (NVAR), a variation of vector autoregression (VAR), as a means to gauge the strength of cross-market co-movement patterns. We also develop NVAR time-series models of the growth of CIRRUS and PLUS at the state and national levels, followed by the application of a variance decomposition (VDC) technique that permits us to infer the presence of contagion effects. Our results suggest that the number of account holders, the extent of education and tourism, network service coverage, and market concentration in local markets are drivers of the observed state-to-nation co-movement. We also discuss the broader opportunities that are available for applying the methodology that is presented, including some extensions that will permit the development of additional managerial and policy insights, and expansion to include other kinds of technologies.
format text
author KAUFFMAN, Robert John
Kumar, A.
author_facet KAUFFMAN, Robert John
Kumar, A.
author_sort KAUFFMAN, Robert John
title Understanding State and National Growth Co-Movement: A Study of Shared ATM Networks in the United States.
title_short Understanding State and National Growth Co-Movement: A Study of Shared ATM Networks in the United States.
title_full Understanding State and National Growth Co-Movement: A Study of Shared ATM Networks in the United States.
title_fullStr Understanding State and National Growth Co-Movement: A Study of Shared ATM Networks in the United States.
title_full_unstemmed Understanding State and National Growth Co-Movement: A Study of Shared ATM Networks in the United States.
title_sort understanding state and national growth co-movement: a study of shared atm networks in the united states.
publisher Institutional Knowledge at Singapore Management University
publishDate 2008
url https://ink.library.smu.edu.sg/sis_research/2762
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