Insurance–growth nexus and macroeconomic determinants: evidence from middle-income countries View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-06

AUTHORS

Rudra P. Pradhan, Mak B. Arvin, Sahar Bahmani, Sara E. Bennett, John H. Hall

ABSTRACT

This paper examines the causal relationships between insurance market activities, economic growth, financial depth, and government consumption expenditure. We utilize a panel vector autoregressive model to test Granger causality for 18 middle-income countries over 1980–2012—a group that has not been previously studied in this literature. The results show a robust long-run economic relationship between insurance market activities, economic growth, financial depth, and government consumption expenditure. Moreover, in the short run, we find bidirectional causality between financial depth and economic growth, between financial depth and government consumption expenditure, and between insurance market activities and government consumption expenditure. Unidirectional causality exists from insurance market activities to economic growth, from financial depth to insurance market activities, and from government consumption expenditure to economic growth. More... »

PAGES

1337-1366

References to SciGraph publications

  • 2010-04. Insurance Development and Economic Growth in THE GENEVA PAPERS ON RISK AND INSURANCE - ISSUES AND PRACTICE
  • 2008-09. The relationship between insurance and economic growth in Europe: a theoretical and empirical analysis in EMPIRICA
  • 2012-09. Non-Linearity Between Life Insurance and Economic Development: A Revisited Approach in THE GENEVA RISK AND INSURANCE REVIEW
  • 2000-07. The S-Curve Relation Between Per-Capita Income and Insurance Penetration in THE GENEVA PAPERS ON RISK AND INSURANCE - ISSUES AND PRACTICE
  • 2010-12. Determinants of Household Demand for Insurance: The Case of Korea in THE GENEVA PAPERS ON RISK AND INSURANCE - ISSUES AND PRACTICE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00181-016-1111-7

    DOI

    http://dx.doi.org/10.1007/s00181-016-1111-7

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1037783107


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