PsycEXTRA Dataset 2008
DOI: 10.1037/e596302012-001
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Cash Transfers, Behavioral Changes, and Cognitive Development in Early Childhood: Evidence from a Randomized Experiment

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Cited by 105 publications
(120 citation statements)
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“…A range of interventions were tested: unconditional or conditional cash transfers [78, 82, 84, 86, 87, 90, 92], fee exemptions [77, 79, 80, 88, 89], and food incentive schemes [83, 85]. …”
Section: Resultsmentioning
confidence: 99%
“…A range of interventions were tested: unconditional or conditional cash transfers [78, 82, 84, 86, 87, 90, 92], fee exemptions [77, 79, 80, 88, 89], and food incentive schemes [83, 85]. …”
Section: Resultsmentioning
confidence: 99%
“…However, the ASQ-3 had lower concurrent validity, suggesting that the Denver-II was the most suitable for use at-scale. In Nicaragua, the Denver-II, administered at home, was sensitive to the impact of a cash transfer program [19]. The poor validity of the ASQ-3 below 30 months is concerning given the test is increasingly used in large scale studies [18, 40].…”
Section: Discussionmentioning
confidence: 99%
“…language) are increasingly used in large scale surveys and impact evaluations [18, 19, 20]. Although not designed for this purpose and often not validated nor standardized locally, these tests are becoming popular alternatives since they are shorter, cheaper, and easier to administer.…”
Section: Introductionmentioning
confidence: 99%
“…Nevertheless, they also lead us to be somewhat pessimistic about closing these gaps because the magnitudes of the differential we find are large relative to the program effects that have been estimated in the literature. Berlinski et al (2009) estimate that preschool attendance improves cognitive development by 0.23 standard deviations in Argentina; cash transfers to very poor households improve cognitive development by 0.18 standard deviations in Ecuador (Paxson and Schady 2010), and 0.10 standard deviations in Nicaragua (Macours et al 2012); home visits are estimated to improve cognitive development of young children by approximately 0.25 standard deviations in Colombia (Attanasio et al 2012). In this paper, we estimate that the difference between children in the poorest and the richest quartile in the countries we study are bigger than one standard deviation in urban Colombia and rural Ecuador, and larger than 0.75 standard deviations in the urban and rural areas of all five countries (with the exception of rural Colombia, where the difference is 0.57 standard deviations).…”
Section: Discussionmentioning
confidence: 99%