title: Corruption and population health outcomes: an analysis of data from 133 countries using structural equation modeling.
abstract: OBJECTIVE
  The current study aims to develop a theoretical framework for understanding the antecedents of corruption and the effects of corruption on various health indicators.
  
  
  METHODS
  Using structural equation models, we analyzed a multinational dataset of 133 countries that included three main groups of variables--antecedents of corruption, corruption measures, and health indicators.
  
  
  RESULTS
  Controlling for various factors, our results suggest that corruption rises as GDP per capita falls and as the regime becomes more autocratic. Higher corruption is associated with lower levels of health expenditure as a percentage of GDP per capita, and with poorer health outcomes. Countries with higher GDP per capita and better education for women have better health outcomes regardless of health expenditures and regime type.
  
  
  CONCLUSIONS
  Our results suggest that there is no direct relationship between health expenditures and health outcomes after controlling for the other factors in the model. Our study enhances our understanding of the conceptual and theoretical links between corruption and health outcomes in a population, including factors that may mediate how corruption can affect health outcomes.
authors.affiliation: Faculty of Law, Institute of Criminology, The Hebrew University of Jerusalem, Mt. Scopus, 91905, Jerusalem, Israel, rfactor@mail.huji.ac.il.
authors.forename: Roni
authors.initials: R
authors.lastname: Factor
authors.forename: Minah
authors.initials: M
authors.lastname: Kang
mesh_terms: D003627:Data Interpretation, Statistical; D008192:Deception; D005260:Female; D005102:Health Expenditures / Q000706:statistics & numerical data; D006304:Health Status; D006305:Health Status Indicators; D006801:Humans; D008297:Male; D015233:Models, Statistical; D011057:Politics; D012923:Social Class