Diseases Dominate

Batten, Aaron; Martina, Alan

doi:10.1057/9780230389946_9

Cited by 5 publications

(4 citation statements)

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“…2 Although most deep-determinants studies use income per capita to proxy economic development, a few studies examine the determinants of alternative measures. Batten and Martina (2007) analyse the effect of formal institutions and geography, as well as the degree of trade openness, on the Human Development Index and find the proportion of the population at risk of contracting malaria to be the most dominant deep determinant, in terms of both statistical significance and quantitative importance. Jones et al (2007) analyse the effect of formal institutions and some aspects of geography on life expectancy and school enrolment rates.…”

Section: Deep Determinants Of Economic Developmentmentioning

confidence: 99%

Which Institutions are Good for Your Health? The Deep Determinants of Comparative Cross-country Health Status

Knowles

Owen

2010

Journal of Development Studies

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We extend the literature on the deep determinants of economic development by focusing on life expectancy, instead of income per capita, as an indicator of economic development, and by examining the role of informal, as well as formal, institutions. Our empirical results suggest that formal and informal institutions are substitutes. Improving informal institutions has positive effects on life expectancy that are statistically significant for most countries and stronger than the effects of improving formal institutions. The gains from improving informal institutions are greatest for countries in which institutions are weakest. Geographical factors also help explain cross-country variation in life expectancy.

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Section: Deep Determinants Of Economic Developmentmentioning

confidence: 99%

Which Institutions are Good for Your Health? The Deep Determinants of Comparative Cross-country Health Status

Knowles

Owen

2010

Journal of Development Studies

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“…7 Stock and Yogo (2005) derive critical values for different values of the number of included endogenous regressors (n), the number of (excluded) instrumental variables (K 2 ) and the desired maximal size of a 5 percent Wald test if using 2SLS. Stock and Yogo's tabulated critical values are for n up to 2, but, using the extended set of critical values for 2SLS in Batten and Martina (2007) with n = 3 and K 2 = 6, a value of the Cragg-Donald F-statistic, CD-F = 1.97 implies that the null hypothesis of weak instruments is not rejected in the case in which the maximum 2SLS size is no more than 15 percent, corresponding to a maximum size distortion of 10 percent.…”

Section: Discussionmentioning

confidence: 99%

“…However, a small number of studies, acknowledging that income per capita may be an imperfect proxy, examine the determinants of alternative measures of economic development. Batten and Martina (2007) analyse the effect of formal institutions and geography, as well as the degree of trade openness, on the Human Development Index and find the proportion of the population at risk of contracting malaria to be the most important deep determinant. Jones et al (2007) analyse the effect of formal institutions and some aspects of geography on life expectancy and school enrolment rates.…”

Section: Deep Determinants Of Economic Developmentmentioning

confidence: 99%

Which Institutions are Good for Your Health? The Deep Determinants of Comparative Cross-Country Health Status

Knowles

Owen

2008

SSRN Journal

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“…Within this strand of the literature, the work most closely related to ours is that of Batten and Martina (2006). These authors find that institutions generally lose their significance in explaining the Human Development Index (HDI), while geography and diseases (such as malaria) remain significant.…”

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confidence: 95%

Institutions Do Not Rule: Reassessing the Driving Forces of Economic Development

Wen

Luo

2015

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Abstract:The pursuit to uncover the driving forces behind cross-country income gaps has divided economists into two major camps: One emphasizes institutions, while the other stresses non-institutional forces such as geography. Each school of thought has its own theoretical foundation and empirical support, but they share an implicit hypothesis-the forces driving economic development remain the same regardless of a country's stage of development. Such hypothesis implies a theory that the process of development in human history is a continuous improvement in income levels, driven by the same forces, and that structural changes do not dictate the influences of geography and institutions on national income. This paper tests this theory and found it not supported by the data. Specifically, non-institutional factors predominantly explain the cross-country income variations among agrarian countries, while institutional factors largely account for the income differences across industrialized economies. In addition, we find evidence of developmental trap in which noninstitutional forces explain a country's lack of industrialization, while institutions do not. The finding that institutions cannot account for the absence/presence of industrialization lends support to views held by many prominent historians who have cast serious doubts on the notion that institutional changes caused the British Industrial Revolution.

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Diseases Dominate

Cited by 5 publications

References 38 publications

Which Institutions are Good for Your Health? The Deep Determinants of Comparative Cross-country Health Status

Which Institutions are Good for Your Health? The Deep Determinants of Comparative Cross-country Health Status

Which Institutions are Good for Your Health? The Deep Determinants of Comparative Cross-Country Health Status

Institutions Do Not Rule: Reassessing the Driving Forces of Economic Development

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