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Philip Cohen Takes a Stand in Controversy Over Gay Parenting Study
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Cohen calls for the resignation of the editor of Social Science Research after accusations of conflict of interest in the peer review process
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News
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Pia Orrenius, Federal Reserve Bank of Dallas
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Immigration and Labor Markets: An Overview
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Coming Up
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Pilar Gonalons-Pons, University of Pennsylvania
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The Care Work System. Changes and Continuities in the Provision of Care
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Coming Up
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Policing and Racism in America
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Panel session addresses systemic racism and its challenges
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Coming Up
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Population neuroscience: Challenges and recommendations for researchers
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Arianna Gard discusses generalizability and representation in large-scale neuroimaging datasets
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Research
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Selected Research
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Population, Poverty, and Climate Change
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Monica Das Gupta, University of Maryland; 2014-005
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Research
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Working Papers
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WP Documents
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Predicting Voting Behavior Using Digital Trace Data
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A major concern arising from ubiquitous tracking of individuals’ online activity is that algorithms may be trained to predict personal sensitive information, even for users who do not wish to reveal such information. Although previous research has shown that digital trace data can accurately predict sociodemographic characteristics, little is known about the potentials of such data to predict sensitive outcomes. Against this background, we investigate in this article whether we can accurately predict voting behavior, which is considered personal sensitive information in Germany and subject to strict privacy regulations. Using records of web browsing and mobile device usage of about 2,000 online users eligible to vote in the 2017 German federal election combined with survey data from the same individuals, we find that online activities do not predict (self-reported) voting well in this population. These findings add to the debate about users’ limited control over (inaccurate) personal information flows.
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MPRC People
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Frauke Kreuter, Ph.D.
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Frauke Kreuter Publications
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Primer on Costs of Action/ Inaction and Communication to Policymakers
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To support the African ChemObs project (the Integrated Health and Environment Observatories and Legal and Institutional Strengthening for the Sound Management of Chemicals in Africa), we provide a critical review of methodologies for valuing the health damages from policy inaction associated with chemical exposures. In particular, we discuss how disability-adjusted life years (DALYs) and IQ loss should be valued. We conclude by providing advice on communicating the costs of inaction and the benefits and costs of action to policymakers. By the social costs of inaction, we mean the private or market costs, as well as the external costs, from pollution exposures compared with no exposure. Knowledge of these damages can then lead to policies designed to force investment and operating decisions in the market to account for (internalize) such costs/damages. The costs of inaction can be distinguished from the benefits and costs of action. The benefits of action are the value of, for example, the health improvements from regulations or other forms of action. These actions usually come with a cost of resources to bring about such actions. The net benefits to society of an action are the benefits minus the costs of action. In general, as regulations of chemicals rarely eliminate all exposures, the costs of inaction generally exceed (in absolute terms) the benefits of action.
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MPRC People
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Maureen Cropper, Ph.D.
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Maureen Cropper Publications
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Private Equity, Jobs, and Productivity
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John Haltiwanger, University of Maryland, et al.; 2013-019
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Research
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Working Papers
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WP Documents
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Profiles of caregiver racial-ethnic socialization found to promote academic engagement in Black and Latinx youth
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Mia Smith-Bynum and others investigate how caregivers' responses to racial / ethnic discrimination relate to demographic characteristics and youth academic engagement
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Research
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Selected Research