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Earlier studies mostly apply time-series or cross-sectional datasets to examine the appropriate topic of energy (Wolde-Rufael, [8, 9]).
In addition, because error terms are serially correlated when multi-year repeated cross-sectional datasets are used, standard errors could be underestimated (Bertrand et al. [21]).
Studies using available cross-sectional datasets show almost complete absence of a positive relationship between medical investment and the quality of care ([11, 12]; [12]; [12]).
Using a series of British cross-sectional datasets, we begin by confirming the usual finding, using least squares, that parental education levels and paternal income are positively associated with good child outcomes: in particular, with later school leaving1.
This method of analysis has been used with other cross-sectional datasets, including NHANES III, to compare risk of menarche among girls age 10 16 [28], and in analyses of entry into menopause [64], [65].
Data were pooled from six cross-sectional datasets representative of the Norwegian population during 2007 2012.
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Therefore, I use a pooled cross-sectional dataset.
First, this study relies on a cross-sectional dataset.
The first problem is that most of these studies have used a single-year cross-sectional dataset.
The present study investigates the association between residential green exposure and prevalence of major depressive disorders using a large and diverse cross-sectional dataset from the UK Biobank.
This paper uses an instrument variables two-stage-least-squares estimation on the Young Lives 2009 cross-sectional dataset from Andhra Pradesh, India, to understand the aforementioned relationship.
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