What Type of Finance Matters for Growth? Bayesian Model Averaging Evidence

We examine the effect of finance on long-term economic growth using Bayesian model averaging to address model uncertainty in cross-country growth regressions. The literature largely focuses on financial indicators that assess the financial depth of banks and stock markets. We examine these indicator...

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Main Authors: Hasan, Iftekhar, Horvath, Roman, Mares, Jan
Format: Journal Article
Published: Published by Oxford University Press on behalf of the World Bank 2019
Subjects:
Online Access:http://hdl.handle.net/10986/32782
id okr-10986-32782
recordtype oai_dc
spelling okr-10986-327822021-05-25T10:54:37Z What Type of Finance Matters for Growth? Bayesian Model Averaging Evidence Hasan, Iftekhar Horvath, Roman Mares, Jan FINANCIAL MARKETS PRIVATE SECTOR BAYESIAN MODEL BANKING STOCK MARKETS BOND MARKET FINANCIAL INTERMEDIATION We examine the effect of finance on long-term economic growth using Bayesian model averaging to address model uncertainty in cross-country growth regressions. The literature largely focuses on financial indicators that assess the financial depth of banks and stock markets. We examine these indicators jointly with newly developed indicators that assess the stability and efficiency of financial markets. Once we subject the finance-growth regressions to model uncertainty, our results suggest that commonly used indicators of financial development are not robustly related to long-term growth. However, the findings from our global sample indicate that one newly developed indicator—the efficiency of financial intermediaries—is robustly related to long-term growth. 2019-12-04T22:29:59Z 2019-12-04T22:29:59Z 2018-06 Journal Article World Bank Economic Review 1564-698X http://hdl.handle.net/10986/32782 CC BY-NC-ND 3.0 IGO http://creativecommons.org/licenses/by-nc-nd/3.0/igo World Bank Published by Oxford University Press on behalf of the World Bank Publications & Research :: Journal Article Publications & Research
repository_type Digital Repository
institution_category Foreign Institution
institution Digital Repositories
building World Bank Open Knowledge Repository
collection World Bank
topic FINANCIAL MARKETS
PRIVATE SECTOR
BAYESIAN MODEL
BANKING
STOCK MARKETS
BOND MARKET
FINANCIAL INTERMEDIATION
spellingShingle FINANCIAL MARKETS
PRIVATE SECTOR
BAYESIAN MODEL
BANKING
STOCK MARKETS
BOND MARKET
FINANCIAL INTERMEDIATION
Hasan, Iftekhar
Horvath, Roman
Mares, Jan
What Type of Finance Matters for Growth? Bayesian Model Averaging Evidence
description We examine the effect of finance on long-term economic growth using Bayesian model averaging to address model uncertainty in cross-country growth regressions. The literature largely focuses on financial indicators that assess the financial depth of banks and stock markets. We examine these indicators jointly with newly developed indicators that assess the stability and efficiency of financial markets. Once we subject the finance-growth regressions to model uncertainty, our results suggest that commonly used indicators of financial development are not robustly related to long-term growth. However, the findings from our global sample indicate that one newly developed indicator—the efficiency of financial intermediaries—is robustly related to long-term growth.
format Journal Article
author Hasan, Iftekhar
Horvath, Roman
Mares, Jan
author_facet Hasan, Iftekhar
Horvath, Roman
Mares, Jan
author_sort Hasan, Iftekhar
title What Type of Finance Matters for Growth? Bayesian Model Averaging Evidence
title_short What Type of Finance Matters for Growth? Bayesian Model Averaging Evidence
title_full What Type of Finance Matters for Growth? Bayesian Model Averaging Evidence
title_fullStr What Type of Finance Matters for Growth? Bayesian Model Averaging Evidence
title_full_unstemmed What Type of Finance Matters for Growth? Bayesian Model Averaging Evidence
title_sort what type of finance matters for growth? bayesian model averaging evidence
publisher Published by Oxford University Press on behalf of the World Bank
publishDate 2019
url http://hdl.handle.net/10986/32782
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