Preschool and maternal labour market outcomes: evidence from a regression discontinuity design

Expanding preschool education has the dual goals of improving child outcomes and work incentives for mothers. This paper provides evidence on the second, identifying the impact of preschool attendance on maternal labor market outcomes in Argentina. A major challenge in identifying the causal effect of preschool attendance on parental outcomes is non-random selection into early education. We address this by relying on plausibly exogenous variation in preschool attendance that is induced when children are born on either side of Argentina's enrollment cutoff date of July 1. Because of enrollment cutoff dates, 4 year-olds born just before July 1 are 0.3 more likely to attend preschool. Our regression-discontinuity estimates compare maternal employment outcomes of 4 year-old children on either side of this cutoff, identifying effects among the subset of complying households (who are perhaps more likely to face constraints on their level 2 preschool attendance). Our findings suggest that, on average, 13 mothers start to work for every 100 youngest children in the household that start preschool (though, in our preferred specification, this estimate is not statistically significant at conventional levels). Furthermore, mothers are 19.1 percentage points more likely to work for more than 20 hours a week (i.e., more time than their children spend in school) and they work, on average, 7.8 more hours per week as consequence of their youngest offspring attending preschool. We find no effect on maternal labor outcomes when a child that is not the youngest in the household attends preschool. Finally, we find that at the point of transition from kindergarten to primary school some employment effects persist. Our preferred estimates condition on mother's schooling and other exogenous covariates, given evidence that mothers' schooling is unbalanced in the vicinity of the July 1 cutoff in the sample of 4 year-olds. Using a large set of natality records, we found no evidence that this is due to precise birth date manipulation by parents. Other explanations, like sample selection, are also not fully consistent with the data, and we must remain agnostic on this point. Despite this shortcoming, the credibility of the estimates is partly enhanced by the consistency of point estimates with Argentine research using a different EPH sample and sources of variation in preschool attendance (Berlinski and Galiani 2007). A growing body of research suggests that pre-primary school can improve educational outcomes for children in the short and long run (Blau and Currie 2006; Schady 2006). This paper provides further evidence that, ceteris paribus, an expansion in preschool education may enhance the employment prospects of mothers of children in preschool age

Research in the design of high-performance reconfigurable systems

An initial design for the Bit Processor (BP) referred to in prior reports as the Processing Element or PE has been completed. Eight BP's, together with their supporting random-access memory, a 64 k x 9 ROM to perform addition, routing logic, and some additional logic, constitute the components of a single stage. An initial stage design is given. Stages may be combined to perform high-speed fixed or floating point arithmetic. Stages can be configured into a range of arithmetic modules that includes bit-serial one or two-dimensional arrays; one or two dimensional arrays fixed or floating point processors; and specialized uniprocessors, such as long-word arithmetic units. One to eight BP's represent a likely initial chip level. The Stage would then correspond to a first-level pluggable module. As both this project and VLSI CAD/CAM progress, however, it is expected that the chip level would migrate upward to the stage and, perhaps, ultimately the box level. The BP RAM, consisting of two banks, holds only operands and indices. Programs are at the box (high-level function) and system level. At the system level initial effort has been concentrated on specifying the tools needed to evaluate design alternatives

Longitudinal influence of self-compassion and fears of compassion on prosocial and antisocial behaviour in sport: A conditional latent growth curve modelling analysis

The impact of self-compassion on athlete wellbeing is well established. Much less researched is the impact of self-compassion, and its related fears (hereafter “fears of compassion”) on athletes’ prosocial and antisocial behaviours. Indeed, sporting contexts offer opportunities for athletes to demonstrate prosocial and antisocial behaviours towards teammates and competitors, and these behaviours could lead to various performance and wellbeing-related consequences. Given the well-documented benefits of a compassion, and the intention to investigate alternative antecedents or predictors of prosocial and antisocial behaviour in sport, we assessed the longitudinal influences of self-compassion and fears of compassion on athletes’ prosocial and antisocial behaviours. The study used a repeated measures design, where 324 athletes (174 male, 150 female) from 35 different sports (22 individual sports, 13 team sports) completed surveys at baseline and the 4th and 8th month. Conditional latent growth curve modelling revealed higher self-compassion and lower fears of receiving compassion from others at baseline were associated with greater prosocial behaviours, whilst higher fears of self-compassion were associated with higher antisocial behaviour, over eight months. Results also revealed a trend for antisocial behaviour to increase across the study period. Compassion-based interventions may be of value to athletes to improve prosocial behaviours in sport contexts

The Fears of Compassion in Sport Scale a short context specific measure of fear of self compassion and receiving compassion from others validated in

Despite the many benefits of compassion, athletes fear being compassionate. To provide a valid and reliable psychometric tool for sport researchers and practitioners, we developed and validated a Fears of Compassion in Sport Scale (FCSS), based on an existing measure of fears of compassion in general life domains. We generated FCSS items measuring sport-specific fear of self-compassion (FSC) and receiving compassion from others (FCO). Following a content evaluation of FCSS items, we assessed psychometric properties of the new instrument in three samples of UK athletes (total N = 792). The FCSS demonstrated very good factorial, concurrent, discriminant, predictive validity, measurement invariance (especially across sport types and competitive levels), internal consistency, and test-retest reliability. Both FSC and FCO in sport were negatively associated with self-compassion and associated positively with narcissistic vulnerability and psychological distress. Athletes were more fearful of self-compassion but less fearful of receiving compassion in sport compared to in general life. However, it was FCO, not FSC, that predicted psychological distress at three months follow-up. The new instrument offers a way to assess fears of compassion in sport. The present research provided new knowledge regarding different manifestations of fears of compassion in sport

Verbalisers and Visualisers: Cognitive Styles That Are Less Than Equal

Over the past thirty years numerous models of cognitive style, varying in complexity and applicability, have been developed. While these models have sparked a vast body of educational research, the results have been equivocal. The models have been widely criticized for their lack of precision and predictability. According to Kozhevnikov, Kosslyn & Sheppard (2005, p 710) “much of the previous work suffered from arbitrary distinctions and overlapping dimensions.” In spite of the criticism, several models of cognitive style survive and continue to stimulate research. Two of these models, the Field Dependent – Field Independence cognitive style and the Reflective-Impulsivity model will be reviewed briefly. Then we will discuss the Verbaliser-visualiser model on which the present research is based

Towards improved seed system management: Use of affordable net tunnels and decentralized inspection schemes.

Increased sweetpotato production in sub-Saharan Africa is hampered by high incidence of virus diseases. Work is going on to test whether healthy seed production can be maintained through a combination of farmer practices and internal and external quality assurance mechanisms; and to ensure that external regulatory processes are appropriate and cost effective. This will generate evidence about the effectiveness of the net tunnel technology in enhancing farmers’ access to quality planting material. This flyer outlines the approaches and lessons learnt so far in research and dissemination of net tunnel technology in Tanzania and Uganda

The central role of noise in evaluating interventions that use test scores to rank schools

Several countries have implemented programs that use test scores to rank schools, and to reward or penalize them based on their students' average performance. Recently, Kane and Staiger (2002) have warned that imprecision in the measurement of school-level test scores could impede these efforts. There is little evidence, however, on how seriously noise hinders the evaluation of the impact of these interventions. We examine these issues in the context of Chile's P-900 program-a country-wide intervention in which resources were allocated based on cutoffs in schools' mean test scores. We show that transitory noise in average scores and mean reversion lead conventional estimation approaches to greatly overstate the impacts of such programs. We then show how a regression discontinuity design that utilizes the discrete nature of the selection rule can be used to control for reversion biases. While the RD analysis provides convincing evidence that the P-900 program had significant effects on test score gains, these effects are much smaller than is widely believed

Retrospective Database Analysis Evaluating the Clinical Outcomes of Changing Treatment of People with Type 2 Diabetes Mellitus (T2DM) from Other DPP-4 Inhibitor Therapy to Alogliptin in a Primary Care Setting

This is the final version. Available on open access from Springer via the DOI in this recordIntroduction: Although some differences between individual dipeptidyl peptidase-4 (DPP-4) inhibitors may exist, the National Institute for Health and Clinical Excellence (NICE) have recommended that ‘prescribers should be encouraged to select the individual DPP-4 inhibitor with the lowest acquisition cost available to them, where all other factors are equal’. We aimed to determine whether or not ‘within class’ switching to alogliptin, the DPP-4 inhibitor with lowest acquisition cost, is a clinically appropriate strategy. Methods: This study evaluated people with type 2 diabetes taking DPP-4 inhibitor therapy in addition to at least one other diabetes therapy. Primary care records were reviewed from six clinical commissioning groups (CCGs). For people who had been switched from other DPP-4 inhibitors to alogliptin, an assessment of the impact of switch on both absolute haemoglobin A1c (HbA1c) levels and on HbA1c trajectory was undertaken. Persistence on alogliptin and the need for therapy intensification was also assessed. Results: Overall, 865 people with diabetes met the eligibility criteria for the study. There was no significant difference between pre- and post-switch mean HbA1c level [8.44% (SD 1.52%) vs 8.42% (1.62%), p = 0.6]. Similarly, for patients where there was sufficient data to assess the impact of switching on HbA1c trajectory (n = 319) minimal impact was identified (actual HbA1c at 3 months 8.33% vs projected 8.31%). The majority of people with diabetes (80.76%) remained on alogliptin treatment at 6 months and only 4.54% required additional diabetes therapies. Switching to alogliptin resulted in a median saving of £7.24 per patient-month. Conclusion: Switching United Kingdom (UK) primary care patients from other DPP-4 inhibitors to alogliptin did not result in a statistically significant or clinically meaningful change in HbA1c level and few required the addition of further diabetes therapies, suggesting that therapy change or intensification was not considered necessary in most patients who were switched to alogliptin. Trial Registration: ENCePP clinical trial registration number EUPAS29153. Funding: Takeda UK Ltd.National Institute for Health Research (NIHR