Interpersonal lending network dataset of a Hungarian village in a disadvantaged region based on a quantitative survey

Márton Gosztonyi; Dániel Havran; Zoltán Pollák; Edina Berlinger

Data in Brief (Apr 2023)

Interpersonal lending network dataset of a Hungarian village in a disadvantaged region based on a quantitative survey

Márton Gosztonyi,
Dániel Havran,
Zoltán Pollák,
Edina Berlinger

Affiliations

Márton Gosztonyi: Asia-Europe Institute, Universiti Malaya, Jln Profesor Diraja Ungku Aziz, 50603 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia; Corresponding author
Dániel Havran: Department of Finance, Corvinus University of Budapest, Fővám tér 8, Budapest, 1093, Hungary
Zoltán Pollák: Department of Finance, Budapest Business School University of Applied Sciences, Buzogány u. 10-12, Budapest 1149, Hungary
Edina Berlinger: Department of Finance, Corvinus University of Budapest, Fővám tér 8, Budapest, 1093, Hungary

Journal volume & issue: Vol. 47
p. 108946

Abstract

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The dataset presented in this paper consists of a network of interpersonal lending relations from a single village of a deprivated area of Hungary. The data are originated from quantitative surveys from May 2014 to June 2014. The data collection was embedded in a Participatory Action Research (PAR) which aimed to investigate the financial survival strategies of low-income households in a Hungarian village in a disadvantaged region. The directed graphs of lending and borrowing are a unique dataset that empirically captures a hidden and informal financial activity between households. The network contains 164 households and 281 credit connections among them.

Published in Data in Brief

ISSN: 2352-3409 (Online)
Publisher: Elsevier
Country of publisher: United States
LCC subjects: Medicine: Medicine (General): Computer applications to medicine. Medical informatics; Science: Science (General)
Website: http://www.journals.elsevier.com/data-in-brief/

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