Logo: to the web site of Uppsala University

uu.sePublications from Uppsala University
Change search
Refine search result
1 - 12 of 12
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Rows per page
  • 5
  • 10
  • 20
  • 50
  • 100
  • 250
Sort
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
Select
The maximal number of hits you can export is 250. When you want to export more records please use the Create feeds function.
  • 1.
    Ahlskog, Rafael
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Government.
    Education and voter turnout revisited: Evidence from a Swedish twin sample with validated turnout data2021In: Electoral Studies, ISSN 0261-3794, E-ISSN 1873-6890, Vol. 69, article id 102186Article in journal (Refereed)
    Abstract [en]

    The association between education and voter turnout is well-established in almost a century of research. The causal status of this correlation, however, is still subject to debate. Results in the previous literature differ substantially, and this may reflect both methodological differences and heterogeneous effects across populations or types of elections. This study addresses the question using a discordant twin design and variance decomposition methods with validated turnout data for both firstand second-order elections in a large sample of Swedish twins, paired with population-wide sibling data. Results show that education does not have an effect on national electoral turnout, but does have an effect on turnout in the European elections. Furthermore, the association between education and turnout is shown to be affected by substantial genetic confounding, which leaves a non-trivial amount of bias even in sibling based designs. This underscores the importance of taking genetic confounding seriously in observational research.

  • 2.
    Ahlskog, Rafael
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Government.
    Extraversion Probably Does Not Cause Political Participation. Evidence from Two Genetically Informed Designs2023In: Political Psychology, ISSN 0162-895X, E-ISSN 1467-9221, Vol. 44, no 6, p. 1301-1318Article in journal (Refereed)
    Abstract [en]

    A substantial literature in political psychology has emphasized the importance of personality traits for understanding differences in political participation. One such trait is extraversion. However, the causal status of this relationship is complicated by a number of issues, not least genetic confounding stemming from the heritability of both personality traits and political participation. This study confirms the well-established naive relationship between extraversion and participation, but goes on with (a) a discordant MZ twin design and (b) a new approach using measured genetic variation, or a polygenic index, in the given trait (extraversion) to assess the causal nature of this relationship. First, utilizing variation in extraversion and participation within identical twin pairs shows that twins with higher extraversion do not participate more. Second, random variation within fraternal twin pairs in a polygenic index of extraversion does predict trait extraversion, but does not predict political participation. In summary, previously identified associations between extraversion and political participation are not likely to be causal, but instead reflect common underlying familial factors.

    Download full text (pdf)
    fulltext
  • 3.
    Ahlskog, Rafael
    et al.
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Government.
    Brännlund, Anton
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Government.
    Uncovering the source of patrimonial voting2022In: Political Behavior, ISSN 0190-9320, E-ISSN 1573-6687, Vol. 44, no 4, p. 1681-1702Article in journal (Refereed)
    Abstract [en]

    The boom in wealth inequality seen in recent decades has generated a steep rise in scholarly interest in both the drivers and the consequences of the wealth gap. In political science, a pertinent questionregards the political behavior across the wealth spectrum. A common argument is that the wealthy practice patrimonial voting, i.e. voting for right-wing parties to maximize returns on their assets. While thispattern is descriptively well documented, it is less certain to what extent this reflects an actual causal relationship between wealth and political preferences. In this study, we provide new evidence by exploitingwealth variation within identical twin pairs. Our findings suggest that while more wealth is descriptivelyconnected to more support for right-wing parties, the causal impact of wealth on policy preferences islikely highly overstated. For several relevant policy areas these effects may not exist at all. Furthermore,the bias in naive observational estimates seems to be mainly driven by environmental familial confoundersshared within twin pairs, rather than genetic confounding.

    Download full text (pdf)
    fulltext
  • 4.
    Ahlskog, Rafael
    et al.
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Government.
    Nyman, Pär
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Government.
    Smrek, Michal
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Government.
    The Fiscal Effects of EU Migration to Slovakia2019In: Globe in Motion 2: Multiple Shades of Migration: Regional Perspectives / [ed] Miroslava Hlinčíková & Martina Sekulová, Bratislava: Institute of Ethnology and Social Anthropology, Slovak Academy of Sciences , 2019, p. 46-61Chapter in book (Refereed)
  • 5.
    Ahlskog, Rafael
    et al.
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Government.
    Oskarsson, Sven
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Government.
    Quantifying Bias from Measurable and Unmeasurable Confounders Across Three Domains of Individual Determinants of Political Preferences2023In: Political Analysis, ISSN 1047-1987, E-ISSN 1476-4989, Vol. 31, no 2, p. 181-194Article in journal (Refereed)
    Abstract [en]

    A core part of political research is to identify how political preferences are shaped. The nature of these questions is such that robust causal identification is often difficult to achieve, and we are not seldom stuck with observational methods that we know have limited causal validity. The purpose of this paper is to measure the magnitude of bias stemming from both measurable and unmeasurable confounders across three broad domains of individual determinants of political preferences: socio-economic factors, moral values, and psychological constructs. We leverage a unique combination of rich Swedish registry data for a large sample of identical twins, with a comprehensive battery of 34 political preference measures, and build a meta-analytical model comparing our most conservative observational (naive) estimates with discordant twin estimates. This allows us to infer the amount of bias from unobserved genetic and shared environmental factors that remains in the naive models for our predictors, while avoiding precision issues common in family-based designs. The results are sobering: in most cases, substantial bias remains in naive models. A rough heuristic is that about half of the effect size even in conservative observational estimates is composed of confounding.

    Download full text (pdf)
    FULLTEXT01
  • 6.
    Becker, Joel
    et al.
    NYU, Dept Econ, New York, NY 10003 USA..
    Burik, Casper A. P.
    Vrije Univ Amsterdam, Sch Business & Econ, Dept Econ, Amsterdam, Netherlands..
    Goldman, Grant
    NBER, Cambridge, MA 02138 USA..
    Wang, Nancy
    NBER, Cambridge, MA 02138 USA..
    Jayashankar, Hariharan
    NBER, Cambridge, MA 02138 USA..
    Bennett, Michael
    NBER, Cambridge, MA 02138 USA..
    Belsky, Daniel W.
    Columbia Univ, Dept Epidemiol, Mailman Sch Publ Hlth, New York, NY USA.;Columbia Univ, Robert N Butler Columbia Aging Ctr, New York, NY USA..
    Linner, Richard Karlsson
    Vrije Univ Amsterdam, Sch Business & Econ, Dept Econ, Amsterdam, Netherlands..
    Ahlskog, Rafael
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Government.
    Kleinman, Aaron
    23andMe Inc, Mountain View, CA USA..
    Hinds, David A.
    23andMe Inc, Mountain View, CA USA..
    Caspi, Avshalom
    Duke Univ, Dept Psychol & Neurosci, Durham, NC USA.;Kings Coll London, Inst Psychiat Psychol & Neurosci, Social Genet & Dev Psychiat Ctr, London, England.;Duke Univ, Ctr Genom & Computat Biol, Durham, NC USA.;Duke Univ, Dept Psychiat & Behav Sci, Durham, NC USA..
    Corcoran, David L.
    Duke Univ, Ctr Genom & Computat Biol, Durham, NC USA..
    Moffitt, Terrie E.
    Duke Univ, Dept Psychol & Neurosci, Durham, NC USA.;Kings Coll London, Inst Psychiat Psychol & Neurosci, Social Genet & Dev Psychiat Ctr, London, England.;Duke Univ, Ctr Genom & Computat Biol, Durham, NC USA.;Duke Univ, Dept Psychiat & Behav Sci, Durham, NC USA..
    Poulton, Richie
    Univ Otago, Dunedin Multidisciplinary Hlth & Dev Res Unit, Dunedin, New Zealand..
    Sugden, Karen
    Duke Univ, Dept Psychol & Neurosci, Durham, NC USA..
    Williams, Benjamin S.
    Duke Univ, Dept Psychol & Neurosci, Durham, NC USA..
    Harris, Kathleen Mullan
    Univ N Carolina, Dept Sociol, Chapel Hill, NC 27515 USA.;Univ N Carolina, Carolina Populat Ctr, Chapel Hill, NC 27515 USA..
    Steptoe, Andrew
    UCL, Dept Behav Sci & Hlth, London, England..
    Ajnakina, Olesya
    UCL, Dept Behav Sci & Hlth, London, England.;Kings Coll London, Inst Psychiat Psychol & Neurosci, Dept Biostat & Hlth Informat, London, England..
    Milani, Lili
    Univ Tartu, Inst Genom, Tartu, Estonia..
    Esko, Tonu
    Univ Tartu, Inst Genom, Tartu, Estonia.;Broad Inst MIT & Harvard, Cambridge, MA 02142 USA..
    Iacono, William G.
    Univ Minnesota, Dept Psychol, Minneapolis, MN USA..
    McGue, Matt
    Univ Minnesota, Dept Psychol, Minneapolis, MN USA..
    Magnusson, Patrik K. E.
    Karolinska Inst, Dept Med Epidemiol & Biostat, Swedish Twin Registry, Stockholm, Sweden..
    Mallard, Travis T.
    Univ Texas Austin, Dept Psychol, Austin, TX 78712 USA..
    Harden, K. Paige
    Univ Texas Austin, Dept Psychol, Austin, TX 78712 USA.;Univ Texas Austin, Populat Res Ctr, Austin, TX 78712 USA..
    Tucker-Drob, Elliot M.
    Univ Texas Austin, Dept Psychol, Austin, TX 78712 USA.;Univ Texas Austin, Populat Res Ctr, Austin, TX 78712 USA..
    Herd, Pamela
    Georgetown Univ, McCourt Sch Publ Policy, Washington, DC USA..
    Freese, Jeremy
    Stanford Univ, Dept Sociol, Stanford, CA 94305 USA..
    Young, Alexander
    Univ Calif Los Angeles, Anderson Sch Management, Los Angeles, CA 90095 USA.;Univ Calif Los Angeles, David Geffen Sch Med, Human Genet Dept, Los Angeles, CA 90095 USA..
    Beauchamp, Jonathan P.
    George Mason Univ, Interdisciplinary Ctr Econ Sci, Fairfax, VA 22030 USA.;George Mason Univ, Dept Econ, Fairfax, VA 22030 USA..
    Koellinger, Philipp
    Vrije Univ Amsterdam, Sch Business & Econ, Dept Econ, Amsterdam, Netherlands.;Univ Wisconsin, Robert M La Follette Sch Publ Affairs, Madison, WI USA..
    Oskarsson, Sven
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Government.
    Johannesson, Magnus
    Stockholm Sch Econ, Dept Econ, Stockholm, Sweden..
    Visscher, Peter M.
    Univ Queensland, Inst Mol Biosci, Brisbane, Qld, Australia..
    Meyer, Michelle N.
    Geisinger Hlth Syst, Ctr Translat Bioeth & Hlth Care Policy, Danville, PA USA..
    Laibson, David
    NBER, Cambridge, MA 02138 USA.;Harvard Univ, Dept Econ, Cambridge, MA 02138 USA..
    Cesarini, David
    NYU, Dept Econ, New York, NY 10003 USA.;NBER, Cambridge, MA 02138 USA..
    Benjamin, Daniel J.
    NBER, Cambridge, MA 02138 USA.;Univ Calif Los Angeles, Anderson Sch Management, Los Angeles, CA 90095 USA.;Univ Calif Los Angeles, David Geffen Sch Med, Human Genet Dept, Los Angeles, CA 90095 USA..
    Turley, Patrick
    Univ Southern Calif, Ctr Econ & Social Res, Los Angeles, CA 90007 USA.;Univ Southern Calif, Dept Econ, Los Angeles, CA 90007 USA..
    Okbay, Aysu
    Vrije Univ Amsterdam, Sch Business & Econ, Dept Econ, Amsterdam, Netherlands..
    Resource profile and user guide of the Polygenic Index Repository2021In: Nature Human Behaviour, E-ISSN 2397-3374, Vol. 5, no 12, p. 1744-1758Article in journal (Refereed)
    Abstract [en]

    Benjamin et al. construct polygenic indexes (DNA-based predictors) for 47 phenotypes and make them available to researchers in 11 datasets. They also present a theoretical framework and estimator to help interpret analyses using polygenic indexes. Polygenic indexes (PGIs) are DNA-based predictors. Their value for research in many scientific disciplines is growing rapidly. As a resource for researchers, we used a consistent methodology to construct PGIs for 47 phenotypes in 11 datasets. To maximize the PGIs' prediction accuracies, we constructed them using genome-wide association studies-some not previously published-from multiple data sources, including 23andMe and UK Biobank. We present a theoretical framework to help interpret analyses involving PGIs. A key insight is that a PGI can be understood as an unbiased but noisy measure of a latent variable we call the 'additive SNP factor'. Regressions in which the true regressor is this factor but the PGI is used as its proxy therefore suffer from errors-in-variables bias. We derive an estimator that corrects for the bias, illustrate the correction, and make a Python tool for implementing it publicly available.

  • 7.
    Buser, Thomas
    et al.
    Univ Amsterdam, Sch Econ, Amsterdam, Netherlands.;Tinbergen Inst, Amsterdam, Netherlands..
    Ahlskog, Rafael
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Government.
    Johannesson, Magnus
    Stockholm Sch Econ, Dept Econ, Stockholm, Sweden..
    Koellinger, Philipp
    Vrije Univ Amsterdam, Dept Econ, Amsterdam, Netherlands..
    Oskarsson, Sven
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Government.
    The causal effect of genetic variants linked to cognitive and non-cognitive skills on education and labor market outcomes2024In: Labour Economics, ISSN 0927-5371, E-ISSN 1879-1034, Vol. 90, article id 102544Article in journal (Refereed)
    Abstract [en]

    We estimate the effect of genetic variants that are associated with differences in cognitive and non -cognitive skills on labor market and education outcomes by linking genetic data from individuals in the Swedish Twin Registry to government registry data. Genes are fixed over the life cycle and genetic differences between full siblings are random, making it possible to establish the causal effects of within -family genetic variation. We show that polygenic indices associated with cognitive skills and personality traits significantly affect income, occupation, and educational attainment. By comparing estimates that use only within -family variation to OLS estimates with and without socioeconomic controls, our results also provide indications of the degree of (residual) confounding, which can be useful for research conducted in datasets that do not contain sibling pairs. Overall, our results indicate that education and labor market outcomes are partially the result of a genetic lottery.

  • 8.
    Howe, Laurence J.
    et al.
    Univ Bristol, Med Res Council, Integrat Epidemiol Unit, Bristol, Avon, England.;Univ Bristol, Bristol Med Sch, Populat Hlth Sci, Bristol, Avon, England.
    Nivard, Michel G.
    Vrije Univ, Netherlands Twin Register, Dept Biol Psychol, Amsterdam, Netherlands.
    Morris, Tim T.
    Univ Bristol, Med Res Council, Integrat Epidemiol Unit, Bristol, Avon, England.;Univ Bristol, Bristol Med Sch, Populat Hlth Sci, Bristol, Avon, England.
    Hansen, Ailin F.
    Norwegian Univ Sci & Technol, NTNU, KG Jebsen Ctr Genet Epidemiol, Dept Publ Hlth & Nursing, Trondheim, Norway.
    Rasheed, Humaira
    Univ Bristol, Med Res Council, Integrat Epidemiol Unit, Bristol, Avon, England.;Norwegian Univ Sci & Technol, NTNU, KG Jebsen Ctr Genet Epidemiol, Dept Publ Hlth & Nursing, Trondheim, Norway.
    Cho, Yoonsu
    Univ Bristol, Med Res Council, Integrat Epidemiol Unit, Bristol, Avon, England.;Univ Bristol, Bristol Med Sch, Populat Hlth Sci, Bristol, Avon, England.
    Chittoor, Geetha
    Geisinger Hlth, Dept Populat Hlth Sci, Danville, PA USA.
    Ahlskog, Rafael
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Government.
    Lind, Penelope A.
    QIMR Berghofer Med Res Inst, Psychiat Genet, Brisbane, Qld, Australia.;Queensland Univ Technol, Sch Biomed Sci, Brisbane, Qld, Australia.;Univ Queensland, Fac Med, Brisbane, Qld, Australia.
    Palviainen, Teemu
    Univ Helsinki, Inst Mol Med FIMM, Helsinki, Finland.
    van der Zee, Matthijs D.
    Vrije Univ, Netherlands Twin Register, Dept Biol Psychol, Amsterdam, Netherlands.
    Cheesman, Rosa
    Univ Oslo, PROMENTA Res Ctr, Dept Psychol, Oslo, Norway.;Kings Coll London, Inst Psychiat Psychol & Neurosci, Social Genet & Dev Psychiat Ctr, London, England.
    Mangino, Massimo
    Kings Coll London, Dept Twin Res & Genet Epidemiol, London, England.;Guys & St Thomas Fdn Trust, NIHR Biomed Res Ctr, London, England.
    Wang, Yunzhang
    Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden.
    Li, Shuai
    Univ Melbourne, Melbourne Sch Populat & Global Hlth, Ctr Epidemiol & Biostat, Parkville, Vic, Australia.;Univ Cambridge, Ctr Canc Genet Epidemiol, Dept Publ Hlth & Primary Care, Cambridge, England.;Monash Univ, Sch Clin Sci Monash Hlth, Precis Med, Clayton, Vic, Australia.
    Klaric, Lucija
    Univ Edinburgh, Western Gen Hosp, Inst Genet & Canc, MRC Human Genet Unit, Edinburgh, Midlothian, Scotland.
    Ratliff, Scott M.
    Univ Michigan, Sch Publ Hlth, Dept Epidemiol, Ann Arbor, MI 48109 USA.
    Bielak, Lawrence F.
    Univ Michigan, Sch Publ Hlth, Dept Epidemiol, Ann Arbor, MI 48109 USA.
    Nygaard, Marianne
    Univ Southern Denmark, Dept Publ Hlth, Danish Twin Registry, Odense, Denmark.;Odense Univ Hosp, Dept Clin Genet, Odense, Denmark.
    Giannelis, Alexandros
    Univ Minnesota, Dept Psychol, Minneapolis, MN USA.
    Willoughby, Emily A.
    Univ Minnesota, Dept Psychol, Minneapolis, MN USA.
    Reynolds, Chandra A.
    Univ Calif Riverside, Dept Psychol, Riverside, CA 92521 USA.
    Balbona, Jared V.
    Univ Colorado, Dept Psychol & Neurosci, Boulder, CO 80309 USA.;Univ Colorado, Inst Behav Genet, Boulder, CO 80309 USA.
    Andreassen, Ole A.
    Univ Oslo, NORMENT Ctr, Oslo, Norway.;Oslo Univ Hosp, Div Mental Hlth & Addict, Oslo, Norway.
    Ask, Helga
    Norwegian Inst Publ Hlth, Dept Mental Disorders, Oslo, Norway.
    Baras, Aris
    Regeneron Genet Ctr, Tarrytown, NY USA.
    Bauer, Christopher R.
    BioMarin Pharmaceut Inc, Novato, CA USA.;Geisinger Hlth, Biomed & Translat Informat, Danville, PA USA.
    Boomsma, Dorret I.
    Vrije Univ, Netherlands Twin Register, Dept Biol Psychol, Amsterdam, Netherlands.;Amsterdam Publ Hlth APH & Amsterdam Reprod & Dev, Amsterdam, Netherlands.
    Campbell, Archie
    Univ Edinburgh, Western Gen Hosp, Inst Genet & Canc, Ctr Genom & Expt Med, Edinburgh, Midlothian, Scotland.
    Campbell, Harry
    Univ Edinburgh, Usher Inst, Ctr Global Hlth, Edinburgh, Midlothian, Scotland.
    Chen, Zhengming
    Univ Oxford, Nuffield Dept Populat Hlth, Oxford, England.;Univ Oxford, MRC Populat Hlth Res Unit, Oxford, England.
    Christofidou, Paraskevi
    Kings Coll London, Dept Twin Res & Genet Epidemiol, London, England.
    Corfield, Elizabeth
    Norwegian Inst Publ Hlth, Dept Mental Disorders, Oslo, Norway.;Lovisenberg Diaconal Hosp, Nic Waals Inst, Oslo, Norway.
    Dahm, Christina C.
    Aarhus Univ, Dept Publ Hlth, Aarhus, Denmark.
    Dokuru, Deepika R.
    Univ Colorado, Dept Psychol & Neurosci, Boulder, CO 80309 USA.;Univ Colorado, Inst Behav Genet, Boulder, CO 80309 USA.
    Evans, Luke M.
    Univ Colorado, Inst Behav Genet, Boulder, CO 80309 USA.;Univ Colorado, Dept Ecol & Evolutionary Biol, Boulder, CO 80309 USA.
    de Geus, Eco J. C.
    Vrije Univ, Netherlands Twin Register, Dept Biol Psychol, Amsterdam, Netherlands.;Amsterdam UMC, Amsterdam Publ Hlth Res Inst, Amsterdam, Netherlands.
    Giddaluru, Sudheer
    Univ Oslo, Inst Hlth & Soc, Oslo, Norway.;Norwegian Inst Publ Hlth, Oslo, Norway.
    Gordon, Scott D.
    QIMR Berghofer Med Res Inst, Dept Genet & Computat Biol, Brisbane, Qld, Australia.
    Harden, K. Paige
    Univ Texas Austin, Dept Psychol, Austin, TX 78712 USA.;Univ Texas Austin, Populat Res Ctr, Austin, TX 78712 USA.
    Hill, W. David
    Univ Edinburgh, Dept Psychol, Lothian Birth Cohorts Grp, Edinburgh, Midlothian, Scotland.
    Hughes, Amanda
    Univ Edinburgh, Dept Psychol, Edinburgh, Midlothian, Scotland.
    Kerr, Shona M.
    Univ Bristol, Med Res Council, Integrat Epidemiol Unit, Bristol, Avon, England.;Univ Bristol, Bristol Med Sch, Populat Hlth Sci, Bristol, Avon, England.
    Kim, Yongkang
    Univ Edinburgh, Western Gen Hosp, Inst Genet & Canc, MRC Human Genet Unit, Edinburgh, Midlothian, Scotland.
    Kweon, Hyeokmoon
    Univ Colorado, Inst Behav Genet, Boulder, CO 80309 USA.;Univ Queensland, Queensland Brain Inst, Brisbane, Qld, Australia.
    Latvala, Antti
    Vrije Univ Amsterdam, Sch Business & Econ, Dept Econ, Amsterdam, Netherlands.
    Lawlor, Deborah A.
    Univ Helsinki, Fac Social Sci, Inst Criminol & Legal Policy, Helsinki, Finland.
    Li, Liming
    Univ Bristol, Med Res Council, Integrat Epidemiol Unit, Bristol, Avon, England.;Univ Bristol, Bristol Med Sch, Populat Hlth Sci, Bristol, Avon, England.;Bristol NIHR Biomed Res Ctr, Bristol, Avon, England.
    Lin, Kuang
    Peking Univ, Hlth Sci Ctr, Sch Publ Hlth, Dept Epidemiol & Biostat, Beijing, Peoples R China.
    Magnus, Per
    Univ Oxford, Nuffield Dept Populat Hlth, Oxford, England.
    Magnusson, Patrik K. E.
    Norwegian Inst Publ Hlth, Ctr Fertil & Hlth, Oslo, Norway.
    Mallard, Travis T.
    Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden.
    Martikainen, Pekka
    Univ Texas Austin, Dept Psychol, Austin, TX 78712 USA.;Univ Texas Austin, Populat Res Ctr, Austin, TX 78712 USA.
    Mills, Melinda C.
    Univ Helsinki, Fac Social Sci, Populat Res Unit, Helsinki, Finland.;Max Planck Inst Demog Res, Rostock, Germany.;Stockholm Univ, Dept Publ Hlth Sci, Stockholm, Sweden.
    Njolstad, Pal Rasmus
    Univ Oxford, Leverhulme Ctr Demog Sci, Oxford, England.
    Overton, John D.
    Univ Bergen, Dept Clin Sci, Bergen, Norway.;Haukeland Hosp, Children & Youth Clin, Bergen, Norway.
    Pedersen, Nancy L.
    Regeneron Genet Ctr, Tarrytown, NY USA.
    Porteous, David J.
    Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden.
    Reid, Jeffrey
    Univ Edinburgh, Western Gen Hosp, Inst Genet & Canc, Ctr Genom & Expt Med, Edinburgh, Midlothian, Scotland..
    Silventoinen, Karri
    Regeneron Genet Ctr, Tarrytown, NY USA.
    Southey, Melissa C.
    Univ Helsinki, Fac Social Sci, Populat Res Unit, Helsinki, Finland.
    Stoltenberg, Camilla
    Monash Univ, Sch Clin Sci Monash Hlth, Precis Med, Clayton, Vic, Australia.;Univ Melbourne, Melbourne Med Sch, Dept Clin Pathol, Melbourne, Vic, Australia.;Canc Council Victoria, Canc Epidemiol Div, Melbourne, Vic, Australia.
    Tucker-Drob, Elliot M.
    Univ Bergen, Dept Global Publ Hlth & Primary Care, Bergen, Norway.
    Wright, Margaret J.
    Univ Texas Austin, Dept Psychol, Austin, TX 78712 USA.;Univ Texas Austin, Populat Res Ctr, Austin, TX 78712 USA.
    Hewitt, John K.
    Univ Colorado, Dept Psychol & Neurosci, Boulder, CO 80309 USA.;Univ Colorado, Inst Behav Genet, Boulder, CO 80309 USA.
    Keller, Matthew C.
    Univ Colorado, Dept Psychol & Neurosci, Boulder, CO 80309 USA.;Univ Colorado, Inst Behav Genet, Boulder, CO 80309 USA.
    Stallings, Michael C.
    Univ Colorado, Dept Psychol & Neurosci, Boulder, CO 80309 USA.;Univ Colorado, Inst Behav Genet, Boulder, CO 80309 USA.
    Lee, James J.
    Univ Minnesota, Dept Psychol, Minneapolis, MN USA.
    Christensen, Kaare
    Univ Southern Denmark, Dept Publ Hlth, Danish Twin Registry, Odense, Denmark.;Odense Univ Hosp, Dept Clin Genet, Odense, Denmark.;Odense Univ Hosp, Dept Clin Biochem & Pharmacol, Odense, Denmark.
    Kardia, Sharon L. R.
    Univ Michigan, Sch Publ Hlth, Dept Epidemiol, Ann Arbor, MI 48109 USA.
    Peyser, Patricia A.
    Univ Michigan, Sch Publ Hlth, Dept Epidemiol, Ann Arbor, MI 48109 USA.
    Smith, Jennifer A.
    Univ Michigan, Sch Publ Hlth, Dept Epidemiol, Ann Arbor, MI 48109 USA.;Univ Michigan, Inst Social Res, Survey Res Ctr, Ann Arbor, MI USA.
    Wilson, James F.
    Univ Edinburgh, Western Gen Hosp, Inst Genet & Canc, MRC Human Genet Unit, Edinburgh, Midlothian, Scotland.
    Hopper, John L.
    Univ Melbourne, Melbourne Sch Populat & Global Hlth, Ctr Epidemiol & Biostat, Parkville, Vic, Australia.
    Hagg, Sara
    Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden.
    Spector, Tim D.
    Kings Coll London, Dept Twin Res & Genet Epidemiol, London, England.
    Pingault, Jean-Baptiste
    Kings Coll London, Inst Psychiat Psychol & Neurosci, Social Genet & Dev Psychiat Ctr, London, England.;UCL, Dept Clin Educ & Hlth Psychol, London, England.
    Plomin, Robert
    Kings Coll London, Inst Psychiat Psychol & Neurosci, Social Genet & Dev Psychiat Ctr, London, England.
    Havdahl, Alexandra
    Univ Oslo, PROMENTA Res Ctr, Dept Psychol, Oslo, Norway.;Norwegian Inst Publ Hlth, Dept Mental Disorders, Oslo, Norway.;Lovisenberg Diaconal Hosp, Nic Waals Inst, Oslo, Norway.
    Bartels, Meike
    Vrije Univ, Netherlands Twin Register, Dept Biol Psychol, Amsterdam, Netherlands.
    Martin, Nicholas G.
    QIMR Berghofer Med Res Inst, Dept Genet & Computat Biol, Brisbane, Qld, Australia.
    Oskarsson, Sven
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Government.
    Justice, Anne E.
    Geisinger Hlth, Dept Populat Hlth Sci, Danville, PA USA.
    Millwood, Iona Y.
    Univ Oxford, Nuffield Dept Populat Hlth, Oxford, England.;Univ Oxford, MRC Populat Hlth Res Unit, Oxford, England.
    Hveem, Kristian
    Norwegian Univ Sci & Technol, NTNU, KG Jebsen Ctr Genet Epidemiol, Dept Publ Hlth & Nursing, Trondheim, Norway.;Norwegian Univ Sci & Technol, NTNU, HUNT Res Ctr, Dept Publ Hlth & Nursing, Levanger, Norway.
    Naess, Oyvind
    Univ Oslo, Inst Hlth & Soc, Oslo, Norway.;Norwegian Inst Publ Hlth, Oslo, Norway.
    Willer, Cristen J.
    Norwegian Univ Sci & Technol, NTNU, KG Jebsen Ctr Genet Epidemiol, Dept Publ Hlth & Nursing, Trondheim, Norway.;Univ Michigan, Dept Internal Med Cardiol, Ann Arbor, MI 48109 USA.;Univ Michigan, Dept Computat Med & Bioinformat, Ann Arbor, MI USA.
    Asvold, Bjorn Olav
    Norwegian Univ Sci & Technol, NTNU, KG Jebsen Ctr Genet Epidemiol, Dept Publ Hlth & Nursing, Trondheim, Norway.;Norwegian Univ Sci & Technol, NTNU, HUNT Res Ctr, Dept Publ Hlth & Nursing, Levanger, Norway.;Trondheim Reg & Univ Hosp, St Olavs Hosp, Dept Endocrinol, Clin Med, Trondheim, Norway.
    Koellinger, Philipp D.
    Vrije Univ Amsterdam, Sch Business & Econ, Dept Econ, Amsterdam, Netherlands.;Univ Wisconsin, La Follette Sch Publ Affairs, Madison, WI USA.
    Kaprio, Jaakko
    Univ Helsinki, Inst Mol Med FIMM, Helsinki, Finland.
    Medland, Sarah E.
    QIMR Berghofer Med Res Inst, Psychiat Genet, Brisbane, Qld, Australia.;Univ Queensland, Fac Med, Brisbane, Qld, Australia.;Univ Queensland, Sch Psychol, Brisbane, Qld, Australia.
    Walters, Robin G.
    Univ Oxford, Nuffield Dept Populat Hlth, Oxford, England.;Univ Oxford, MRC Populat Hlth Res Unit, Oxford, England.
    Benjamin, Daniel J.
    Univ Calif Los Angeles, Anderson Sch Management, Los Angeles, CA USA.;Univ Calif Los Angeles, David Geffen Sch Med, Gonda Goldschmied Neurosci & Genet Res Ctr, Dept Human Genet, Los Angeles, CA 90095 USA.;Natl Bur Econ Res, Cambridge, MA 02138 USA.
    Turley, Patrick
    Univ Southern Calif, Ctr Econ & Social Res, Los Angeles, CA 90007 USA.;Univ Southern Calif, Dept Econ, Los Angeles, CA 90007 USA.
    Evans, David M.
    Univ Bristol, Med Res Council, Integrat Epidemiol Unit, Bristol, Avon, England.;Univ Queensland, Diamantina Inst, Brisbane, Qld, Australia.;Univ Queensland, Inst Mol Biosci, Brisbane, Qld, Australia.
    Smith, George Davey
    Univ Bristol, Med Res Council, Integrat Epidemiol Unit, Bristol, Avon, England.;Univ Bristol, Bristol Med Sch, Populat Hlth Sci, Bristol, Avon, England.
    Hayward, Caroline
    Univ Edinburgh, Western Gen Hosp, Inst Genet & Canc, MRC Human Genet Unit, Edinburgh, Midlothian, Scotland.
    Brumpton, Ben
    Univ Bristol, Med Res Council, Integrat Epidemiol Unit, Bristol, Avon, England.;Norwegian Univ Sci & Technol, NTNU, KG Jebsen Ctr Genet Epidemiol, Dept Publ Hlth & Nursing, Trondheim, Norway.;Norwegian Univ Sci & Technol, NTNU, HUNT Res Ctr, Dept Publ Hlth & Nursing, Levanger, Norway.
    Hemani, Gibran
    Univ Bristol, Med Res Council, Integrat Epidemiol Unit, Bristol, Avon, England.;Univ Bristol, Bristol Med Sch, Populat Hlth Sci, Bristol, Avon, England.
    Davies, Neil M.
    Univ Bristol, Med Res Council, Integrat Epidemiol Unit, Bristol, Avon, England.;Univ Bristol, Bristol Med Sch, Populat Hlth Sci, Bristol, Avon, England.;Norwegian Univ Sci & Technol, NTNU, KG Jebsen Ctr Genet Epidemiol, Dept Publ Hlth & Nursing, Trondheim, Norway.
    Within-sibship genome-wide association analyses decrease bias in estimates of direct genetic effects2022In: Nature Genetics, ISSN 1061-4036, E-ISSN 1546-1718, Vol. 54, no 5, p. 581-592Article in journal (Refereed)
    Abstract [en]

    Estimates from genome-wide association studies (GWAS) of unrelated individuals capture effects of inherited variation (direct effects), demography (population stratification, assortative mating) and relatives (indirect genetic effects). Family-based GWAS designs can control for demographic and indirect genetic effects, but large-scale family datasets have been lacking. We combined data from 178,086 siblings from 19 cohorts to generate population (between-family) and within-sibship (within-family) GWAS estimates for 25 phenotypes. Within-sibship GWAS estimates were smaller than population estimates for height, educational attainment, age at first birth, number of children, cognitive ability, depressive symptoms and smoking. Some differences were observed in downstream SNP heritability, genetic correlations and Mendelian randomization analyses. For example, the within-sibship genetic correlation between educational attainment and body mass index attenuated towards zero. In contrast, analyses of most molecular phenotypes (for example, low-density lipoprotein-cholesterol) were generally consistent. We also found within-sibship evidence of polygenic adaptation on taller height. Here, we illustrate the importance of family-based GWAS data for phenotypes influenced by demographic and indirect genetic effects. Within-sibship genome-wide association analyses using data from 178,076 siblings illustrate differences between population-based and within-sibship GWAS estimates for phenotypes influenced by demographic and indirect genetic effects.

    Download full text (pdf)
    FULLTEXT01
  • 9.
    Nyman, Pär
    et al.
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Government. Södertörn Univ, Dept Polit Sci, Stockholm, Sweden.;Statsvetenskapliga Inst, S-10691 Stockholm, Sweden..
    Aggeborn, Linuz
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Economics, Uppsala Center for Fiscal Studies. Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Government. Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Institute for Housing and Urban Research. Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Economics, Uppsala Center for Labor Studies (UCLS).
    Ahlskog, Rafael
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Government.
    Filling in the blanks: How does information about the Swedish EITC affect labour supply?2023In: Labour Economics, ISSN 0927-5371, E-ISSN 1879-1034, Vol. 85, article id 102435Article in journal (Refereed)
    Abstract [en]

    We investigate the role of information about tax incentives for the labour-leisure choice. We randomize 37,000 leaflets about the Swedish EITC, and then study the effects with pre-registered analyses and administrative data. Our focus is on the household decision to allocate between labour income and parental leave payments. The EITC and its interactions with the parental leave system is not well-known. Despite the substantial incentives involved, and the flexibility with which a person may earn labour income, we find that information about the EITC has a precisely estimated zero impact on labour supply on the extensive and the intensive margin.

    Download full text (pdf)
    fulltext
  • 10.
    Nyman, Pär
    et al.
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Government.
    Aggeborn, Linuz
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Economics, Uppsala Center for Fiscal Studies. Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Government. Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Economics, Uppsala Center for Labor Studies (UCLS).
    Ahlskog, Rafael
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Government.
    Hur påverkas arbetsutbudet av information om jobbskatteavdraget?2022Report (Other (popular science, discussion, etc.))
    Abstract [sv]

    Tillgång till information är en central aspekt i ekonomiska modeller. Genom attha tillgång till information kan individer och företag fatta ekonomiska beslut. Iverkligheten finns det dock flera tillfällen när information saknas eller därinformationen är svårbegriplig. Det svenska jobbskatteavdraget är tänkt att ökaincitamentet att arbeta där skatten sänks på arbetsinkomst men inte på andratyper av inkomst såsom ersättning från Försäkringskassan. Många svenskarkänner emellertid inte till hur jobbskatteavdraget är konstruerat i detalj. I dennarapport studerar vi hur information om jobbskatteavdraget påverkar arbetsutbudmed hjälp av svensk registerdata. Vi har genomfört ett informationsexperimentdär vi har skickat ut information om jobbskatteavdraget till föräldrar. Enförhållandevis okänd aspekt av jobbskatteavdraget är att det ger starkaekonomiska incitament att ha någon arbetsinkomst under ett kalenderår eftersomjobbskatteavdraget är riktat mot lägre inkomster. Vi finner inte några effekter avatt få information vare sig på sannolikheten att arbeta eller antalet arbetadetimmar.

  • 11.
    Nyman, Pär
    et al.
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Government.
    Aggeborn, Linuz
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Economics, Uppsala Center for Fiscal Studies. Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Government. Uppsala Center for Labor Studies (UCLS).
    Rafael, Ahlskog
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Government.
    Filling in the Blanks: How Does Information about the Swedish EITC Affect Labour Supply?2022Report (Other academic)
    Abstract [en]

    Information plays a key role in economics. According to the benchmark neoclassical model, agents require information in order to optimize their choices. Information, however, is sometimes incomplete or asymmetric in the real world. In this paper, we investigate the role of information for the labour--leisure choice. We conduct an information experiment wherein we distribute a leaflet about the Swedish Earned Income Tax Credit (EITC), and then study the effects with registry data. More specifically, we focus on the household decision to allocate between labour income and parental leave payments. The EITC, it bears noting, applies to the former but not to the latter. The construction of the Swedish EITC generates a strong economic incentive to have some labour income during a calendar year, because it is tailored to benefit low labour income earners more in relative terms. Yet, despite the substantial economic incentives involved, and despite the flexibility with which a person may earn labour income, we find that providing information about the features of the EITC has zero impact on labour supply. 

  • 12.
    Oskarsson, Sven
    et al.
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Government. Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Economics, Uppsala Center for Labor Studies (UCLS).
    Ahlskog, Rafael
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Government.
    Dawes, Christopher T.
    Lindgren, Karl-Oskar
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Government. Uppsala University, Units outside the University, The Institute for Evaluation of Labour Market and Education Policy (IFAU). Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Economics, Uppsala Center for Labor Studies (UCLS).
    Persistent Inequalities: The Origins of Intergenerational Associations in Voter Turnout2022In: Journal of Politics, ISSN 0022-3816, E-ISSN 1468-2508, Vol. 84, no 3, p. 1337-1352Article in journal (Refereed)
    Abstract [en]

    We use population-wide Swedish data with information on adopted children’s biological and adoptive parents to assess the importance of prebirth factors (measured by biological parents’ voting) and postbirth socialization factors (as captured by adoptive parents’ voting) for generating intergenerational associations in voter turnout. We find that both prebirth and postbirth factors explain the parent-child similarity in turnout behavior. More importantly, we show that the conditions that strengthen the social pathways to intergenerational transmission—such as youth and exposure to consistent parental behavior—at the same time weaken the biological mechanisms and vice versa. Follow-up analyses based on US and UK samples suggest that these results are externally valid. Our findings are important for understanding how political inequality is reproduced across generations.

1 - 12 of 12
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf