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Table 1 Effect of a Banking Crisis on Log Heart Disease Mortality Rates by Income Level, 1960–2002

From: Can a bank crisis break your heart?

Covariate

High Income Countries

Low Income Countries

Bank Crisis

0.06** (0.02)

0.26* (0.10)

Lag of GDP per capita change

-0.00 (0.00)

0.01* (0.01)

Log Inflation Rate

-0.04** (0.02)

0.10 (0.10)

Urbanization

0.00 (0.01)

0.00 (0.01)

Education Level

0.03 (0.02)

0.14 (0.09)

Dependency Ratio

0.01 (0.00)

-0.00 (0.01)

Number of Observations

729

157

Number of Countries

19

9

R2

0.71

0.61

  1. Note: Constant estimated but not reported; Robust standard errors in parentheses, clustered by country because observations are not independent. Models include dummy variables for each country and year. High Income countries include Australia, Austria, Belgium, Canada, Denmark, Finland, France, Germany, Japan, Iceland, Italy, Netherlands, New Zealand, Norway, Spain, Sweden, Switzerland, United Kingdom and United States. Banking crisis is defined as a the first year of a systemic banking crisis in which all or most of a country's banking capital is used.1 Urbanization is percentage of population living in urban settings, Dependency ratio is number of elderly and infants as a percentage of total population, Education level is the population average total years of schooling, and the Inflation Rate is based on the change in the consumer price index. R2 value based on within-country variation. Data Sources: World Bank World Development Indicators 2005 edition, World Bank Systemic Banking Crises Data, and World Health Organization Global Mortality Database.
  2. * – p < 0.05, ** – p < 0.01 (two-tailed tests).
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Globalization and Health

ISSN: 1744-8603