The Experts below are selected from a list of 314811 Experts worldwide ranked by ideXlab platform
Ronita Bardhan - One of the best experts on this subject based on the ideXlab platform.
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india nudges to contain covid 19 pandemic a reactive Public Policy Analysis using machine learning based topic modelling
PLOS ONE, 2020Co-Authors: Ramit Debnath, Ronita BardhanAbstract:India locked down 1.3 billion people on March 25, 2020, in the wake of COVID-19 pandemic. The economic cost of it was estimated at USD 98 billion, while the social costs are still unknown. This study investigated how government formed reactive policies to fight coronavirus across its Policy sectors. Primary data was collected from the Press Information Bureau (PIB) in the form press releases of government plans, policies, programme initiatives and achievements. A text corpus of 260,852 words was created from 396 documents from the PIB. An unsupervised machine-based topic modelling using Latent Dirichlet Allocation (LDA) algorithm was performed on the text corpus. It was done to extract high probability topics in the Policy sectors. The interpretation of the extracted topics was made through a nudge theoretic lens to derive the critical Policy heuristics of the government. Results showed that most interventions were targeted to generate endogenous nudge by using external triggers. Notably, the nudges from the Prime Minister of India was critical in creating herd effect on lockdown and social distancing norms across the nation. A similar effect was also observed around the Public health (e.g., masks in Public spaces; Yoga and Ayurveda for immunity), transport (e.g., old trains converted to isolation wards), micro, small and medium enterprises (e.g., rapid production of PPE and masks), science and technology sector (e.g., diagnostic kits, robots and nano-technology), home affairs (e.g., surveillance and lockdown), urban (e.g. drones, GIS-tools) and education (e.g., online learning). A conclusion was drawn on leveraging these heuristics are crucial for lockdown easement planning.
Qiang Liu - One of the best experts on this subject based on the ideXlab platform.
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structural models of the prescription drug market
Social Science Research Network, 2019Co-Authors: Andrew T Ching, Manuel Hermosilla, Qiang LiuAbstract:Structural models have become a frontier tool in business and economics research. In this survey, we discuss the literature on structural models for the prescription drug market, which has attracted a significant attention from researchers in marketing and economics, and related fields. The literature has evolved from adopting standard structural models developed for other markets to models that are specifically designed to capture the nuance of drug prescription behaviour. Along the way, these empirical frameworks have not only greatly improved in explaining stylized facts, but also at producing better (more reasonable) counterfactual predictions. Topics covered by this survey include the application of learning models to explain slow diffusion, post-patent expiry competition, pre-patent expiry competition, R&D and new drug introduction, managerial and Public Policy Analysis, and the economics of the Medicare Part-D program. We conclude by discussing future research directions.
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structural models of the prescription drug market
2019Co-Authors: Andrew T Ching, Manuel Hermosilla, Qiang LiuAbstract:We survey the literature on structural models for the prescription drug market, which has attracted significant attention from researchers in marketing and economics, and related fields. The literature has evolved from adopting standard structural models developed for other markets to models that are specifically designed to capture the institutional details of the prescription drug market. Along the way, these empirical frameworks have not only greatly improved in terms of explaining stylized facts, but also in terms of producing better counterfactual predictions. Topics covered by this survey include the application of learning models to explain slow diffusion, post-patent expiry competition, prepatent expiry competition, R&D and new drug introduction, managerial and Public Policy Analysis, and the economics of the Medicare Part-D program. We conclude by discussing future research directions.
Helen F Ladd - One of the best experts on this subject based on the ideXlab platform.
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school choice racial segregation and test score gaps evidence from north carolina s charter school program
Journal of Policy Analysis and Management, 2007Co-Authors: Robert Bifulco, Helen F LaddAbstract:Using panel data that track individual students from year to year, we examine the effects of charter schools in North Carolina on racial segregation and black-white test score gaps. We find that North Carolina's system of charter schools has increased the racial isolation of both black and white students, and has widened the achievement gap. Moreover, the relatively large negative effects of charter schools on the achievement of black students is driven by students who transfer into charter schools that are more racially isolated than the schools they have left. Our Analysis of charter school choices suggests that asymmetric preferences of black and white charter school students (and their families) for schools of different racial compositions help to explain why there are so few racially balanced charter schools. © 2006 by the Association for Public Policy Analysis and Management.
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do school accountability systems make it more difficult for low performing schools to attract and retain high quality teachers
Journal of Policy Analysis and Management, 2004Co-Authors: Charles T Clotfelter, Helen F Ladd, Jacob L Vigdor, Roger Aliaga DiazAbstract:Administrative data from North Carolina are used to explore the extent to which that state's relatively sophisticated school-based accountability system has exacerbated the challenges that schools serving low-performing students face in retaining and attracting high-quality teachers. Most clear are the adverse effects on retention rates, and hence on teacher turnover, in such schools. Less clear is the extent to which that higher turnover has translated into a decline in the average qualifications of the teachers in the low-performing schools. Other states with more primitive accountability systems can expect even greater adverse effects on teacher turnover in low-performing schools. © 2004 by the Association for Public Policy Analysis and Management.
Ramit Debnath - One of the best experts on this subject based on the ideXlab platform.
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india nudges to contain covid 19 pandemic a reactive Public Policy Analysis using machine learning based topic modelling
PLOS ONE, 2020Co-Authors: Ramit Debnath, Ronita BardhanAbstract:India locked down 1.3 billion people on March 25, 2020, in the wake of COVID-19 pandemic. The economic cost of it was estimated at USD 98 billion, while the social costs are still unknown. This study investigated how government formed reactive policies to fight coronavirus across its Policy sectors. Primary data was collected from the Press Information Bureau (PIB) in the form press releases of government plans, policies, programme initiatives and achievements. A text corpus of 260,852 words was created from 396 documents from the PIB. An unsupervised machine-based topic modelling using Latent Dirichlet Allocation (LDA) algorithm was performed on the text corpus. It was done to extract high probability topics in the Policy sectors. The interpretation of the extracted topics was made through a nudge theoretic lens to derive the critical Policy heuristics of the government. Results showed that most interventions were targeted to generate endogenous nudge by using external triggers. Notably, the nudges from the Prime Minister of India was critical in creating herd effect on lockdown and social distancing norms across the nation. A similar effect was also observed around the Public health (e.g., masks in Public spaces; Yoga and Ayurveda for immunity), transport (e.g., old trains converted to isolation wards), micro, small and medium enterprises (e.g., rapid production of PPE and masks), science and technology sector (e.g., diagnostic kits, robots and nano-technology), home affairs (e.g., surveillance and lockdown), urban (e.g. drones, GIS-tools) and education (e.g., online learning). A conclusion was drawn on leveraging these heuristics are crucial for lockdown easement planning.
Peter Gottschalk - One of the best experts on this subject based on the ideXlab platform.
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can work alter welfare recipients beliefs
Journal of Policy Analysis and Management, 2005Co-Authors: Peter GottschalkAbstract:A common argument in support of work-based welfare reform is that exposure to work will lead welfare recipients to revise their beliefs about how they will be treated in the labor market. This paper explores the analytical and empirical basis for this argument. The difficulty in testing the assumption that work leads to a change in beliefs is that there is an inherent simultaneity between work and beliefs. Welfare recipients who work may have different beliefs because they learn about the world of work once they enter the labor market. Alternatively, welfare recipients who have a more positive view of work are the ones who are more likely to work. We use a unique data set that helps solve this simultaneity problem. We find that exogenous increases in work induced by an experimental tax credit led to the predicted change in beliefs among younger workers. © 2005 by the Association for Public Policy Analysis and Management
