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

Finance of low-income households; Informal Finance; Participatory Action Research (PAR); Social-Network Analysis (SNA); Finance of low-income household; Hungarians; Hungary; Low incomes; Participatory action research; Region-based; Social Network Analysis; Social-network analyse; Multidisciplinary

Abstract :

[en] 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.

Disciplines :

Finance

Author, co-author :

Gosztonyi, Márton ; Asia-Europe Institute, Universiti Malaya, Jln Profesor Diraja Ungku Aziz, 50603 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Havran, Dániel ; Department of Finance, Corvinus University of Budapest, Fővám tér 8, Budapest, 1093, Hungary

Pollák, Zoltán ; Department of Finance, Budapest Business School University of Applied Sciences, Buzogány u. 10-12, Budapest 1149, Hungary

BERLINGER, Edina ; University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > Department of Finance (DF) ; Department of Finance, Corvinus University of Budapest, Fővám tér 8, Budapest, 1093, Hungary

External co-authors :

yes

Language :

English

Title :

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

Publication date :

April 2023

Journal title :

Data in Brief

eISSN :

2352-3409

Publisher :

Elsevier Inc., Netherlands

Volume :

Pages :

108946

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

https://api.elsevier.com/content/article/PII:S2352340923000641?httpAccept=text/xml

Funding text :

We would like to thank our fellow PAR researchers for their long and persistent work: Éva Ernőné Lakatos, Mária Horváth, Csaba Kalocsai, Dezső Lakatos, Jenő Mata, Géza Gosztonyi, Alíz Pucsovalszki, József Ganyi, Attila Kecskés, Edith Kovácsné Baktai, Tibor Balogh†, Ernő Horváth and Judit Horváth. I would also like to thank the former mayor of the Kázsmárk settlement, Béla Bortnyik†, and the principal of the Kázsmárk Primary School, Csilla Juhászné Kupai who supported the successful implementation of the PAR research in many ways.

Available on ORBilu :

since 09 December 2023

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Bibliography

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