2015
DOI: 10.1007/s10903-015-0239-4
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Fertility and Minority: A Study in Two Provinces of Iran Using Matching Estimator Technique

Abstract: The main aim of this study was to compare fertility in minor (Sunnah) and major (Shia) religious groups of Iran after matching the two groups by some confounding factors. 12,099 data of population and census survey of Iran in 2011 in two provinces of Guilan and Kurdistan were used in this study. Propensity scoring matching method was used for matching two groups. First confounder variables were found and after that the groups were matched. Principal component analysis was used to make a socioeconomic (SES) var… Show more

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Cited by 7 publications
(6 citation statements)
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“…Data collection was not applicable in this study, and previously gathered data were used. These data were not matched by confounding factors, and propensity score matching was used to achieve unbiased results( 17 ). Propensity score method allows to match previously gathered data easily and was used to compare the 2 groups.…”
Section: Methodsmentioning
confidence: 99%
“…Data collection was not applicable in this study, and previously gathered data were used. These data were not matched by confounding factors, and propensity score matching was used to achieve unbiased results( 17 ). Propensity score method allows to match previously gathered data easily and was used to compare the 2 groups.…”
Section: Methodsmentioning
confidence: 99%
“…It should be mentioned that Rasht is the capital of Guilan province in the north of Iran, with a population near one million. (the most populous city in the northern Iran) (Rad et al, 2016). It has eight public and four private hospitals (Sciences, 2017).…”
Section: Design and Datamentioning
confidence: 99%
“…In order to evaluate the short-term effects of the HTP on equity in health care financing, we measured the treatment effect of HTP on OOP spending and households facing CHE in Guilan Province, a developed area located in the north of Iran [ 10 ]. In this province, which is located near the Caspian Sea, farming is the most important occupation of the rural population; additionally, it has the lowest fertility rate of the country [ 11 , 12 ].…”
Section: Introductionmentioning
confidence: 99%