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Featured researches published by Emla Fitzsimons.


Economic Development and Cultural Change | 2010

Children's Schooling and Work in the Presence of a Conditional Cash Transfer Program in Rural Colombia

Orazio Attanasio; Emla Fitzsimons; Ana Gomez; Martha Isabel Gutiérrez; Costas Meghir

The paper studies the effects of Familias en Acción, a conditional cash transfer program implemented in rural areas in Colombia since 2002, on school enrollment and child labor. Using a difference‐in‐difference framework, our results show that the program increased school participation of 14–17‐year‐old children quite substantially, by between 5 and 7 percentage points and had lower effects on the enrollment of younger children, in the region of 1–3 percentage points. The effects on work are largest in the relatively more urbanized parts of rural areas and particularly for younger children, whose participation in domestic work decreased by around 13 percentage points after the program, as compared to a decrease of 10 percentage points for older children in these same areas. The program had no discernible impacts on children’s work in more rural areas. Participation in income‐generating work remained largely unaffected by the program. We also find evidence of school and work time not being fully substitutable, suggesting that some, but not all, of the increased time at school may be drawn from children’s leisure time.


BMJ | 2014

Using the infrastructure of a conditional cash transfer program to deliver a scalable integrated early child development program in Colombia : cluster randomized controlled trial

Orazio Attanasio; Camila Fernandez; Emla Fitzsimons; Sally Grantham-McGregor; Costas Meghir; Marta Rubio-Codina

Objective To assess the effectiveness of an integrated early child development intervention, combining stimulation and micronutrient supplementation and delivered on a large scale in Colombia, for children’s development, growth, and hemoglobin levels. Design Cluster randomized controlled trial, using a 2×2 factorial design, with municipalities assigned to one of four groups: psychosocial stimulation, micronutrient supplementation, combined intervention, or control. Setting 96 municipalities in Colombia, located across eight of its 32 departments. Participants 1420 children aged 12-24 months and their primary carers. Intervention Psychosocial stimulation (weekly home visits with play demonstrations), micronutrient sprinkles given daily, and both combined. All delivered by female community leaders for 18 months. Main outcome measures Cognitive, receptive and expressive language, and fine and gross motor scores on the Bayley scales of infant development-III; height, weight, and hemoglobin levels measured at the baseline and end of intervention. Results Stimulation improved cognitive scores (adjusted for age, sex, testers, and baseline levels of outcomes) by 0.26 of a standard deviation (P=0.002). Stimulation also increased receptive language by 0.22 of a standard deviation (P=0.032). Micronutrient supplementation had no significant effect on any outcome and there was no interaction between the interventions. No intervention affected height, weight, or hemoglobin levels. Conclusions Using the infrastructure of a national welfare program we implemented the integrated early child development intervention on a large scale and showed its potential for improving children’s cognitive development. We found no effect of supplementation on developmental or health outcomes. Moreover, supplementation did not interact with stimulation. The implementation model for delivering stimulation suggests that it may serve as a promising blueprint for future policy on early childhood development. Trial registration Current Controlled trials ISRCTN18991160.


The Economic Journal | 2007

Higher Education Funding Reforms in England: The Distributional Effects and the Shifting Balance of Costs*

Lorraine Dearden; Emla Fitzsimons; Alissa Goodman; Greg Kaplan

This article undertakes a quantitative analysis of substantial reforms to the system of higher education (HE) finance in England, first announced in 2004 and revised in 2007. The reforms introduced deferred fees for HE, payable by graduates through the tax system via income-contingent repayments on loans subsidised by the government. The article uses lifetime earnings simulated by the authors to consider the likely distributional consequences of the reforms for graduates. It also considers the costs of the reforms for taxpayers, and how the reforms are likely to shift the balance of funding for HE between the public and private sectors.


Economic Development and Cultural Change | 2002

The Effects of Risk on Education in Indonesia

Emla Fitzsimons

We study the effects of risk and uncertainty on education in Indonesia. Households that face more uncertainty and that have limited or no access to formal insurance will have a higher motive for self‐insurance, and this may have adverse consequences for investment in child education. A key contribution of the article is to decompose risk into village‐ and household‐level components and to estimate whether they have different effects on education. We find no evidence of household risk affecting child education; however, there is evidence that village risk adversely affects investment in education.


Journal of Labor Economics | 2011

Providing employers with incentives to train low-skilled workers: evidence from the UK Employer Training Pilots

Laura Abramovsky; Erich Battistin; Emla Fitzsimons; Alissa Goodman; Helen Simpson

We use unique workplace and employee-level data to evaluate a major UK government pilot program to increase qualification-based, employer-provided training for low-qualified employees. We evaluate the program’s effect using a difference-in-differences approach. Using data on eligible employers and workers we find noevidence of a statistically significant effect on the take-up of training in the first 3 years of the program. Our results suggest that the program involved a high level of deadweight and that improving the additionality of the subsequent national program is crucial if it is to make a significant contribution toward government targets to increase qualification levels.


SSM-Population Health | 2016

Why is multiple micronutrient powder ineffective at reducing anaemia among 12–24 month olds in Colombia? Evidence from a randomised controlled trial

Alison Andrew; Orazio Attanasio; Emla Fitzsimons; Marta Rubio Codina

In Colombia’s bottom socio-economic strata, 46.6% of children under two are anaemic. A prevalence of above 20% falls within the WHO guidelines for daily supplementation with multiple micronutrient powder (MNP). To evaluate the effect of daily MNP supplementation on anaemia amongst Colombian children aged 12–24 months we ran a cluster RCT (n=1440). In previous work, we found the intervention had no impact on haemoglobin or anaemia in this population. In this current paper, we investigate this null result and find it cannot be explained by an underpowered study design, inaccurate measurements, low adoption of and compliance with the intervention, or crowding out through dietary substitution. We conclude that our intervention was ineffective at reducing rates of childhood anaemia because MNP itself was inefficacious in our population, rather than poor implementation of or adherence to the planned intervention. Further analysis of our data and secondary data suggests that the evolution with age of childhood anaemia in Colombia, and its causes, appear different from those in settings where MNP has been effective. Firstly, rates of anaemia peak at much earlier ages and then fall rapidly. Secondly, anaemia that remains after the first year of life is relatively, and increasingly as children get older, unrelated to iron deficiency. We suggest that factors during gestation, birth, breastfeeding and early weaning may be important in explaining very high rates of anaemia in early infancy. However, the adverse effects of these factors appear to be largely mitigated by the introduction of solid foods that often include meat. This renders population wide MNP supplementation, provided after a diet of solid foods has become established, an ineffective instrument with which to target Colombia’s childhood anaemia problem.


PLOS Medicine | 2018

Impacts 2 years after a scalable early childhood development intervention to increase psychosocial stimulation in the home: A follow-up of a cluster randomised controlled trial in Colombia

Alison Andrew; Orazio Attanasio; Emla Fitzsimons; Sally Grantham-McGregor; Costas Meghir; Marta Rubio Codina

Background Poor early childhood development (ECD) in low- and middle-income countries is a major concern. There are calls to universalise access to ECD interventions through integrating them into existing government services but little evidence on the medium- or long-term effects of such scalable models. We previously showed that a psychosocial stimulation (PS) intervention integrated into a cash transfer programme improved Colombian children’s cognition, receptive language, and home stimulation. In this follow-up study, we assessed the medium-term impacts of the intervention, 2 years after it ended, on children’s cognition, language, school readiness, executive function, and behaviour. Methods and findings Study participants were 1,419 children aged 12–24 months at baseline from beneficiary households of the cash transfer programme, living in 96 Colombian towns. The original cluster randomised controlled trial (2009–2011) randomly allocated the towns to control (N = 24, n = 349), PS (N = 24, n = 357), multiple micronutrient (MN) supplementation (N = 24, n = 354), and combined PS and MN (N = 24, n = 359). Interventions lasted 18 months. In this study (26 September 2013 to 11 January 2014), we assessed impacts on cognition, language, school readiness, executive function, and behaviour 2 years after intervention, at ages 4.5–5.5 years. Testers, but not participants, were blinded to treatment allocation. Analysis was on an intent-to-treat basis. We reassessed 88.5% of the children in the original study (n = 1,256). Factor analysis of test scores yielded 2 factors: cognitive (cognition, language, school readiness, executive function) and behavioural. We found no effect of the interventions after 2 years on the cognitive factor (PS: −0.031 SD, 95% CI −0.229–0.167; MN: −0.042 SD, 95% CI −0.249–0.164; PS and MN: −0.111 SD, 95% CI −0.311–0.089), the behavioural factor (PS: 0.013 SD, 95% CI −0.172–0.198; MN: 0.071 SD, 95% CI −0.115–0.258; PS and MN: 0.062 SD, 95% CI −0.115–0.239), or home stimulation. Study limitations include that behavioural development was measured through maternal report and that very small effects may have been missed, despite the large sample size. Conclusions We found no evidence that a scalable PS intervention benefited children’s development 2 years after it ended. It is possible that the initial effects on child development were too small to be sustained or that the lack of continued impact on home stimulation contributed to fade out. Both are likely related to compromises in implementation when going to scale and suggest one should not extrapolate from medium-term effects of small efficacy trials to scalable interventions. Understanding the salient differences between small efficacy trials and scaled-up versions will be key to making ECD interventions effective tools for policymakers. Trial registration ISRCTN18991160


bioRxiv | 2018

Segmenting accelerometer data from daily life with unsupervised machine learning

Dafne Erica van Kuppevelt; Joe Heywood; Mark Hamer; Séverine Sabia; Emla Fitzsimons; Vincent T. van Hees

Purpose: Accelerometers are increasingly used to obtain valuable descriptors of physical activity for health research. The cut-points approach to segment accelerometer data is widely used in physical activity research but requires resource expensive calibration studies and does not make it easy to explore the information that can be gained for a variety of raw data metrics. To address these limitations, we present a data-driven approach for segmenting and clustering the accelerometer data using unsupervised machine learning. Methods: The data used came from five hundred fourteen-year-old participants from the Millennium cohort study who wore an accelerometer (GENEActiv) on their wrist on one weekday and one weekend day. A Hidden Semi-Markov Model (HSMM), configured to identify a maximum of ten behavioral states from five second averaged acceleration with and without addition of x, y, and z-angles, was used for segmenting and clustering of the data. A cut-points approach was used as comparison. Results: Time spent in behavioral states with or without angle metrics constituted eight and five principal components to reach 95% explained variance, respectively; in comparison four components were identified with the cut-points approach. In the HSMM with acceleration and angle as input, the distributions for acceleration in the states showed similar groupings as the cut-points categories, while more variety was seen in the distribution of angles. Conclusion: Our unsupervised classification approach learns a construct of human behavior based on the data it observes, without the need for resource expensive calibration studies, has the ability to combine multiple data metrics, and offers a higher dimensional description of physical behavior. States are interpretable from the distributions of observations and by their duration.


Social Psychiatry and Psychiatric Epidemiology | 2018

Development and predictors of mental ill-health and wellbeing from childhood to adolescence

Praveetha Patalay; Emla Fitzsimons

PurposeThe aim is to investigate the (1) longitudinal development in mental ill-health and wellbeing from ages 11 to 14, (2) predictors of changes in mental health outcomes, and (3) sex and reporter differences.MethodData are taken from 9553 participants in the Millennium Cohort Study, with both mental ill-health (parent- and self-report) and wellbeing outcomes of the cohort members measured at ages 11 and 14. A range of childhood socio-demographic, human capital, family and wider environment risk and protective factors are investigated.ResultsWellbeing has weak stability and mental ill-health has moderate stability between ages 11 and 14 and large sex differences emerge in all the mental health outcomes investigated, with girls experiencing lower wellbeing and greater symptoms of mental illness at age 14. Raw associations between outcomes, and differences in their predictors, indicate varying patterns emerging for parent- and self-reported mental ill-health, with parent-reported symptoms in childhood a poor predictor of both self-reported wellbeing and depressive symptoms in adolescence. Investigating the emergent sex differences in prevalences highlights childhood risk and protective factors at this age that are more salient in females, including family income, school connectedness, cognitive ability, whereas peer relationships and bullying were equally relevant for mental health development in both males and females.ConclusionLow–moderate stability of mental health outcomes stresses the importance of the transition period for mental health, highlighting an intervention window at these ages for prevention. Socio-economic status is associated with mental health development in females but not in males at this age, highlighting a sex-specific vulnerability of deprivation associated with poorer mental health in adolescent females.


Social Science Research Network | 2017

Estimating the Production Function for Human Capital: Results from a Randomized Controlled Trial in Colombia

Orazio Attanasio; Sarah Cattan; Emla Fitzsimons; Costas Meghir

We examine the channels through which a randomized early childhood intervention in Colombia led to significant gains in cognitive and socio-emotional skills among a sample of disadvantaged children aged 12 to 24 months at baseline. We estimate the determinants of material and time investments in these children and evaluate the impact of the treatment on such investments. We then estimate the production functions for cognitive and socio-emotional skills. The effects of the program can be explained by increases in parental investments, which have strong effects on outcomes and are complementary to both maternal skills and child’s baseline skills.

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Alissa Goodman

University College London

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Gill Wyness

Centre for Economic Performance

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