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While the Young Lives 2009 dataset allow us to compare consumption expenditure with a generated wealth index, it is likely that the measure of consumption expenditure also face similar problems.
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The use of a multi-country dataset allows us to analyse the co-determinants of adoption of MTM across diverse environments.
Based on the above micro- and macro-level variables, the contribution of this paper to the literature on MTM adoption is as follows: 1) The use of a multi-country dataset allows us to analyse the co-determinants of adoption of MTM across diverse environments.
The use of a phased HapMap dataset allowed us to simulate individuals that share common founding populations.
The specific experimental design that was used to generate the present fitness dataset allows us to represent the genotypes in the matrix displayed in Table 1.
The size of our dataset allows us to construct a control group of non-displaced workers using non-parametric matching techniques, following Ichino et al. (2013).
In this case, the size of the dataset allows us to apply non-parametric matching.
Our dataset allows us to observe the birthplace and country of citizenship of an employee, as well as the birthplaces of both parents of the same employee.
The NLSS III dataset allows us to identify whether remittance income comes from a migrant within Nepal or from a migrant located in another country.
The inclusion of intensive observations in the reanalysis dataset allows us to capture qualitatively which atmospheric structures trigger Philippine summer monsoon onset.
This comprehensive dataset allowed us to compare the features of molecular pathogenesis between adult and pediatric B-ALL and to identify signatures possibly related to the inferior outcome of adults to that of children.
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