The Effect of Childhood ADD/ADHD on Parental Workforce Participation

2016 ◽  
Vol 23 (5) ◽  
pp. 487-492
Author(s):  
Emily J. Callander ◽  
Faith Allele ◽  
Hayley Roberts ◽  
William Guinea ◽  
Daniel B. Lindsay

Objective: This research aimed to examine the impact of attention deficit disorder (ADD)/ADHD in children on parental labor force participation across different child age groups. Method: This study utilized a longitudinal, quantitative analyses approach. All data were collected from Wave 6 of the Growing Up in Australia: The Longitudinal Study of Australian Children (LSAC) survey. Results: After adjusting for various confounders, mothers whose children were 10/11 years old and had been diagnosed with ADD/ADHD were significantly more likely to be out of the labor force compared with those mothers whose child had not been diagnosed with ADD/ADHD. The impact was more pronounced for single mothers. No significant influence on paternal labor force participation was found. Conclusion: In assessing the cost-effectiveness of interventions for ADD/ADHD, policy makers and researchers must consider the long-term social and economic effects of ADD/ADHD on maternal workforce participation when considering costs and outcomes.

2021 ◽  
Vol 15 (2) ◽  
Author(s):  
Evangelos Vasileiou

This note shows that the effective response of a country in its battle against COVID-19 influences the exchange rate of its currency. Particularly, we examine the GBPUSD, AUDUSD and AUDGBP pairs of currency during the COVID-19 outbreak and the results show that the domestic currency of the country which documents more COVID-19 cases in each pair is depreciated against the foreign one. Therefore, a country which cannot effectively mitigate the impact of COVID-19 and whose currency is depreciated may present further economic consequences in the future. Such consequences extend beyond economic recession and may include sovereign and interest rate risk. These findings may be useful for policy makers in order to estimate the cost of the pandemic.


1994 ◽  
Vol 54 (1) ◽  
pp. 64-84 ◽  
Author(s):  
T. Aldrich Finegan ◽  
Robert A. Margo

Economic analysis of the labor supply of married women has long emphasized the impact of the unemployment of husbands—the added worker effect. This article re-examines the magnitude of the added worker effect in the waning years of the Great Depression. Previous studies of the labor supply of married women during this period failed to take account of various institutional features of New Deal work relief programs, which reduced the size of the added worker effect.


Author(s):  
Maria Wimmer ◽  
Melanie Bicking

Decreasing election turnouts and citizens’ disinterest in democracy galvanized the European Commission (EC) to co-fund a set of e-participation pilot projects. During the runtime of the program, and in particular after the last projects ended in 2010, policy makers at European level were keen to know how well this funding program performed. Hence, the EC also initiated a project called MOMENTUM with the aim to monitor and evaluate the progress and impact of the projects. MOMENTUM designed and performed a systematic comparative analysis of the projects. This chapter presents the impact evaluation framework, which is based on methods of evaluation from empirical research, thereby also reflecting programmatic contexts of the projects. The evaluation framework grounds the interplay of elements of a holistic e-participation solution: the participation process, the topics to discuss, the policy supported, and the technology and tools deployed. The authors present results of the evaluation and demonstrate how attention on the interrelations of these issues affect users’ perception and motivation to participate in an e-participation endeavor. Insights show that the method developed can lead to useful and usable impact analysis and evaluation results. The survey results provide valuable clues to the behavioral intention of the civil society to use e-participation tools and applications. These findings provide not only information on whether and how far the monitored projects are successful but also why they succeeded or failed and how they can be improved.


Author(s):  
Andres Uribe-Sanchez ◽  
Alex Savachkin

As recently acknowledged by the Institute of Medicine, the existing pandemic mitigation models lack dynamic decision support capabilities. This paper develops a simulation optimization model for generating dynamic resource distribution strategies over a network of regions exposed to a pandemic. While the underlying simulation mimics the disease and population dynamics of the affected regions, the optimization model generates progressive allocations of mitigation resources, including vaccines, antivirals, healthcare capacities, and social distancing enforcement measures. The model strives to minimize the impact of ongoing outbreaks and the expected impact of the potential outbreaks, considering measures of morbidity, mortality, and social distancing, translated into the cost of lost productivity and medical expenses. The model was implemented on a simulated outbreak involving four million inhabitants. The strategy was compared to pro-rata and myopic strategies. The model is intended to assist public health policy makers in developing effective distribution policies during influenza pandemics.


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