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Patrick Turley

Personal Details

First Name:Patrick
Middle Name:
Last Name:Turley
Suffix:
RePEc Short-ID:ptu258
[This author has chosen not to make the email address public]
http://paturley.com

Affiliation

(95%) Department of Economics
University of Southern California

Los Angeles, California (United States)
https://dornsife.usc.edu/econ/
RePEc:edi:deuscus (more details at EDIRC)

(5%) Center for Economic and Social Research
University of Southern California

Los Angeles, California (United States)
http://cesr.usc.edu/
RePEc:edi:dcuscus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Silvia H. Barcellos & Leandro Carvalho & Kenneth Langa & Sneha Nimmagadda & Patrick Turley, 2025. "Education and Dementia Risk," NBER Working Papers 33430, National Bureau of Economic Research, Inc.
  2. Daniel J. Benjamin & David Cesarini & Patrick Turley & Alexander Strudwick Young, 2024. "Social-Science Genomics: Progress, Challenges, and Future Directions," NBER Working Papers 32404, National Bureau of Economic Research, Inc.
  3. Silvia H. Barcellos & Leandro Carvalho & Patrick Turley, 2021. "The Effect of Education on the Relationship between Genetics, Early-Life Disadvantages, and Later-Life SES," NBER Working Papers 28750, National Bureau of Economic Research, Inc.
  4. Silvia H. Barcellos & Leandro S. Carvalho & Patrick Turley, 2019. "Distributional Effects of Education on Health," NBER Working Papers 25898, National Bureau of Economic Research, Inc.
  5. Richard Karlsson Linnér & Pietro Biroli & Edward Kong & S. Fleur W. Meddens & Robee Wedow & Mark Alan Fontana & Maël Lebreton & Abdel Abdellaoui & Anke R. Hammerschlag & Michel G. Nivard & Aysu Okba, 2018. "Genome-wide association analyses of risk tolerance and risky behaviors in over one million individuals identify hundreds of loci and shared genetic influences," Working Papers 2018-087, Human Capital and Economic Opportunity Working Group.
  6. David A. Bennett & Klaus Berger & Lars Bertram & Hans Bisgaard & Dorret I. Boomsma & Ingrid B. Borecki & Ute Bültmann & Christopher F. Chabris & Francesco Cucca & Daniele Cusi & Ian J. Deary & George , 2016. "Genome-wide association study identifies 74 loci associated with educational attainment," Post-Print hal-02017372, HAL.
  7. Magnus Johannesson & David I. Laibson & Sarah E. Medland & Michelle N. Meyer & Joseph K. Pickrell & Tõnu Esko & Robert F. Krueger & Jonathan P. Beauchamp & Philipp D. Koellinger & Daniel J. Benjamin &, 2016. "Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses," Post-Print hal-02017373, HAL.
  8. James McDonald & Patrick A. Turley & Jeff Sorensen, 2011. "Skewness and Kurtosis Properties of Income Distribution Models," LIS Working papers 569, LIS Cross-National Data Center in Luxembourg.

Articles

  1. Jeffrey T. Denning & Patrick Turley, 2017. "Was That SMART?: Institutional Financial Incentives and Field of Study," Journal of Human Resources, University of Wisconsin Press, vol. 52(1), pages 152-186.
  2. James B. Mcdonald & Jeff Sorensen & Patrick A. Turley, 2013. "Skewness And Kurtosis Properties Of Income Distribution Models," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 59(2), pages 360-374, June.
  3. McDonald, James B. & Turley, Patrick, 2011. "Distributional Characteristics: Just a Few More Moments," The American Statistician, American Statistical Association, vol. 65(2), pages 96-103.
    RePEc:nas:journl:v:115:y:2018:p:e9765-e9772 is not listed on IDEAS

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Daniel J. Benjamin & David Cesarini & Patrick Turley & Alexander Strudwick Young, 2024. "Social-Science Genomics: Progress, Challenges, and Future Directions," NBER Working Papers 32404, National Bureau of Economic Research, Inc.

    Cited by:

    1. Richard Karlsson Linnér & Manisha Jain, 2025. "“The risks cannot be compensated”: The willingness to donate DNA for science and its relationship with economic preferences," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 58(2), pages 515-547, May.

  2. Silvia H. Barcellos & Leandro Carvalho & Patrick Turley, 2021. "The Effect of Education on the Relationship between Genetics, Early-Life Disadvantages, and Later-Life SES," NBER Working Papers 28750, National Bureau of Economic Research, Inc.

    Cited by:

    1. Pietro Biroli & Titus J. Galama & Stephanie von Hinke & Hans van Kippersluis & Cornelius A. Rietveld & Kevin Thom, 2022. "The Economics and Econometrics of Gene-Environment Interplay," Papers 2203.00729, arXiv.org.
    2. Dilnoza Muslimova & Niels Rietveld, 2025. "Gene-environment interplay and public policies," Papers 2503.22441, arXiv.org.
    3. Francesconi, Marco & Barban, Nicola & De Cao, Elisabetta, 2021. "Gene-Environment Effects on Female Fertility," CEPR Discussion Papers 16603, C.E.P.R. Discussion Papers.
    4. Markus Gehrsitz & Morgan C. Williams, "undated". "The Effects of Compulsory Schooling on Health and Hospitalization over the Life Cycle," Working Papers 2303, University of Strathclyde Business School, Department of Economics, revised May 2020.
    5. L F Fontes & M Mrejen & B Rache & R Rocha, 2024. "Economic Distress and Children’s Mental Health: Evidence from the Brazilian High-Risk Cohort Study for Mental Conditions," The Economic Journal, Royal Economic Society, vol. 134(660), pages 1701-1718.
    6. Gehrsitz, Markus & Williams, Jr., Morgan C., 2024. "The Effects of Compulsory Schooling on Health and Hospitalization over the Life Cycle," IZA Discussion Papers 17050, Institute of Labor Economics (IZA).

  3. Silvia H. Barcellos & Leandro S. Carvalho & Patrick Turley, 2019. "Distributional Effects of Education on Health," NBER Working Papers 25898, National Bureau of Economic Research, Inc.

    Cited by:

    1. Propper, Carol & Janke, Katharina & Johnston, David & Shields, Michael A, 2019. "The causal effect of education on chronic health conditions in the UK," CEPR Discussion Papers 14084, C.E.P.R. Discussion Papers.
    2. Michael Geruso & Heather Royer, 2018. "The Impact of Education on Family Formation: Quasi-Experimental Evidence from the UK," NBER Working Papers 24332, National Bureau of Economic Research, Inc.

  4. Richard Karlsson Linnér & Pietro Biroli & Edward Kong & S. Fleur W. Meddens & Robee Wedow & Mark Alan Fontana & Maël Lebreton & Abdel Abdellaoui & Anke R. Hammerschlag & Michel G. Nivard & Aysu Okba, 2018. "Genome-wide association analyses of risk tolerance and risky behaviors in over one million individuals identify hundreds of loci and shared genetic influences," Working Papers 2018-087, Human Capital and Economic Opportunity Working Group.

    Cited by:

    1. Vikesh Amin & Jere R. Behrman & Jason M. Fletcher & Carlos A. Flores & Alfonso Flores-Lagunes & Hans-Peter Kohler, 2020. "Genetic Risks, Adolescent Health and Schooling Attainment," PIER Working Paper Archive 20-024, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    2. Zhaonan Qu & Ruoxuan Xiong & Jizhou Liu & Guido Imbens, 2021. "Semiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference," Papers 2107.12420, arXiv.org, revised Jun 2024.
    3. Nicos Nicolaou & Scott Shane, 2019. "Common genetic effects on risk-taking preferences and choices," Journal of Risk and Uncertainty, Springer, vol. 59(3), pages 261-279, December.
    4. Andrew E. Clark & Conchita D'Ambrosio & Simone Ghislandi & Anthony Lepinteur & Giorgia Menta, 2021. "Maternal depression and child human capital: a genetic instrumental-variable approach," CEP Discussion Papers dp1749, Centre for Economic Performance, LSE.
    5. Francesconi, Marco & Barban, Nicola & De Cao, Elisabetta, 2021. "Gene-Environment Effects on Female Fertility," CEPR Discussion Papers 16603, C.E.P.R. Discussion Papers.
    6. John A. List & Ragan Petrie & Anya Samek, 2023. "How Experiments with Children Inform Economics," Journal of Economic Literature, American Economic Association, vol. 61(2), pages 504-564, June.
    7. Chowdhury, Shyamal & Sutter, Matthias & Zimmermann, Klaus F., 2020. "Economic Preferences across Generations and Family Clusters: A Large-Scale Experiment," IZA Discussion Papers 13451, Institute of Labor Economics (IZA).
    8. Angerer, Silvia & Dutcher, E. Glenn & Glätzle-Rützler, Daniela & Lergetporer, Philipp & Sutter, Matthias, 2021. "The Formation of Risk Preferences through Small-Scale Events," IZA Discussion Papers 14679, Institute of Labor Economics (IZA).
    9. Cornelius A. Rietveld & Eric A.W. Slob & A. Roy Thurik, 2021. "A decade of research on the genetics of entrepreneurship: a review and view ahead," Small Business Economics, Springer, vol. 57(3), pages 1303-1317, October.
    10. Andrea G Allegrini & Ville Karhunen & Jonathan R I Coleman & Saskia Selzam & Kaili Rimfeld & Sophie von Stumm & Jean-Baptiste Pingault & Robert Plomin, 2020. "Multivariable G-E interplay in the prediction of educational achievement," PLOS Genetics, Public Library of Science, vol. 16(11), pages 1-20, November.
    11. Atticus Bolyard & Peter Savelyev, 2021. "Understanding the Educational Attainment Polygenic Index and its Interactions with SES in Determining Health in Young Adulthood," Working Papers 2021-026, Human Capital and Economic Opportunity Working Group.
    12. Jason M. Fletcher & Qiongshi Lu, 2021. "Health policy and genetic endowments: Understanding sources of response to Minimum Legal Drinking Age laws," Health Economics, John Wiley & Sons, Ltd., vol. 30(1), pages 194-203, January.

  5. David A. Bennett & Klaus Berger & Lars Bertram & Hans Bisgaard & Dorret I. Boomsma & Ingrid B. Borecki & Ute Bültmann & Christopher F. Chabris & Francesco Cucca & Daniele Cusi & Ian J. Deary & George , 2016. "Genome-wide association study identifies 74 loci associated with educational attainment," Post-Print hal-02017372, HAL.

    Cited by:

    1. Shelly Lundberg & Aloysius Siow, 2017. "Canadian contributions to family economics," Canadian Journal of Economics, Canadian Economics Association, vol. 50(5), pages 1304-1323, December.
    2. Hyeokmoon Kweon & Casper A. P. Burik & Yuchen Ning & Rafael Ahlskog & Charley Xia & Erik Abner & Yanchun Bao & Laxmi Bhatta & Tariq O. Faquih & Maud Feijter & Paul Fisher & Andrea Gelemanović & Alexan, 2025. "Associations between common genetic variants and income provide insights about the socio-economic health gradient," Nature Human Behaviour, Nature, vol. 9(4), pages 794-805, April.
    3. Akimova, Evelina T. & Wolfram, Tobias & Ding, Xuejie & Tropf, Felix C. & Mills, Melinda C., 2025. "Polygenic prediction of occupational status GWAS elucidates genetic and environmental interplay in intergenerational transmission, careers and health in UK Biobank," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 9(Febuary), pages 391-405.
    4. Stephanie von Hinke & Emil Sorensen, 2022. "The Long-Term Effects of Early-Life Pollution Exposure: Evidence from the London Smog," Bristol Economics Discussion Papers 22/757, School of Economics, University of Bristol, UK.
    5. Pietro Biroli & Titus J. Galama & Stephanie von Hinke & Hans van Kippersluis & Cornelius A. Rietveld & Kevin Thom, 2022. "The Economics and Econometrics of Gene-Environment Interplay," Papers 2203.00729, arXiv.org.
    6. Victor Ronda & Esben Agerbo & Dorthe Bleses & Preben Bo Mortensen & Anders Børglum & Ole Mors & Michael Rosholm & David M. Hougaard & Merete Nordentoft & Thomas Werge, 2022. "Family disadvantage, gender, and the returns to genetic human capital," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(2), pages 550-578, April.
    7. Mitchell, Brittany L. & Hansell, Narelle K. & McAloney, Kerrie & Martin, Nicholas G. & Wright, Margaret J. & Renteria, Miguel E. & Grasby, Katrina L., 2022. "Polygenic influences associated with adolescent cognitive skills," Intelligence, Elsevier, vol. 94(C).
    8. Lucía de Hoyos & Maria T. Barendse & Fenja Schlag & Marjolein M. J. van Donkelaar & Ellen Verhoef & Chin Yang Shapland & Alexander Klassmann & Jan Buitelaar & Brad Verhulst & Simon E. Fisher & Dheeraj, 2024. "Structural models of genome-wide covariance identify multiple common dimensions in autism," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    9. Morten Dybdahl Krebs & Gonçalo Espregueira Themudo & Michael Eriksen Benros & Ole Mors & Anders D. Børglum & David Hougaard & Preben Bo Mortensen & Merete Nordentoft & Michael J. Gandal & Chun Chieh F, 2021. "Associations between patterns in comorbid diagnostic trajectories of individuals with schizophrenia and etiological factors," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
    10. Cawley, John & Han, Euna & Kim, Jiyoon & Norton, Edward C., 2023. "Genetic nurture in educational attainment," Economics & Human Biology, Elsevier, vol. 49(C).
    11. Edwards, Tobias & Dawes, Christopher T. & Willoughby, Emily A. & McGue, Matt & Lee, James J., 2025. "More than g: Verbal and performance IQ as predictors of socio-political attitudes," Intelligence, Elsevier, vol. 108(C).
    12. Chris Bidner & John Knowles, 2018. "Matching for Social Mobility with Unobserved Heritable Characteristics," Discussion Papers dp18-05, Department of Economics, Simon Fraser University.
    13. Nieuwenhuis, Jaap & Kleinepier, Tom & van Ham, Maarten, 2019. "Neighbourhood and School Poverty Simultaneously Predicting Educational Achievement, Taking into Account Timing and Duration of Exposure," IZA Discussion Papers 12396, Institute of Labor Economics (IZA).
    14. Nicholas W Papageorge & Kevin Thom, 2020. "Genes, Education, and Labor Market Outcomes: Evidence from the Health and Retirement Study," Journal of the European Economic Association, European Economic Association, vol. 18(3), pages 1351-1399.
    15. Silvia H. Barcellos & Leandro Carvalho & Patrick Turley, 2021. "The Effect of Education on the Relationship between Genetics, Early-Life Disadvantages, and Later-Life SES," NBER Working Papers 28750, National Bureau of Economic Research, Inc.
    16. Tzu-Ting Chen & Jaeyoung Kim & Max Lam & Yi-Fang Chuang & Yen-Ling Chiu & Shu-Chin Lin & Sang-Hyuk Jung & Beomsu Kim & Soyeon Kim & Chamlee Cho & Injeong Shim & Sanghyeon Park & Yeeun Ahn & Aysu Okbay, 2024. "Shared genetic architectures of educational attainment in East Asian and European populations," Nature Human Behaviour, Nature, vol. 8(3), pages 562-575, March.
    17. Mathias Seviiri & Matthew H. Law & Jue-Sheng Ong & Puya Gharahkhani & Pierre Fontanillas & Catherine M. Olsen & David C. Whiteman & Stuart MacGregor, 2022. "A multi-phenotype analysis reveals 19 susceptibility loci for basal cell carcinoma and 15 for squamous cell carcinoma," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    18. Gianmarco Mignogna & Caitlin E. Carey & Robbee Wedow & Nikolas Baya & Mattia Cordioli & Nicola Pirastu & Rino Bellocco & Kathryn Fiuza Malerbi & Michel G. Nivard & Benjamin M. Neale & Raymond K. Walte, 2023. "Patterns of item nonresponse behaviour to survey questionnaires are systematic and associated with genetic loci," Nature Human Behaviour, Nature, vol. 7(8), pages 1371-1387, August.
    19. Cornelius A Rietveld & Ronald de Vlaming & Eric A W Slob, 2023. "The identification of mediating effects using genome-based restricted maximum likelihood estimation," PLOS Genetics, Public Library of Science, vol. 19(2), pages 1-17, February.
    20. Liang, X.; & Sanderson, E.; & Windmeijer, F.;, 2022. "Selecting Valid Instrumental Variables in Linear Models with Multiple Exposure Variables: Adaptive Lasso and the Median-of-Medians Estimator," Health, Econometrics and Data Group (HEDG) Working Papers 22/22, HEDG, c/o Department of Economics, University of York.
    21. Evelina T. Akimova & Tobias Wolfram & Xuejie Ding & Felix C. Tropf & Melinda C. Mills, 2025. "Polygenic prediction of occupational status GWAS elucidates genetic and environmental interplay in intergenerational transmission, careers and health in UK Biobank," Nature Human Behaviour, Nature, vol. 9(2), pages 391-405, February.
    22. Gerard J. van den Berg & Stephanie von Hinke & Nicolai Vitt, 2023. "Early life exposure to measles and later-life outcomes: Evidence from the introduction of a vaccine," Bristol Economics Discussion Papers 23/776, School of Economics, University of Bristol, UK.
    23. Nagel, Mats, 2020. "Changing perspectives: Towards detailed phenotyping in genetics," Thesis Commons a4nz2, Center for Open Science.
    24. Bierut, Laura & Biroli, Pietro & Galama, Titus J. & Thom, Kevin, 2023. "Challenges in studying the interplay of genes and environment. A study of childhood financial distress moderating genetic predisposition for peak smoking," Journal of Economic Psychology, Elsevier, vol. 98(C).
    25. Lee, James J. & McGue, Matt & Iacono, William G. & Michael, Andrew M. & Chabris, Christopher F., 2019. "The causal influence of brain size on human intelligence: Evidence from within-family phenotypic associations and GWAS modeling," Intelligence, Elsevier, vol. 75(C), pages 48-58.
    26. Ronaldo N. Verano, PhD, 2024. "Level of Competence of Teachers in Filipino in the 2013 Filipino Orthography: Basis for Crafting Lesson Exemplars in Teaching Orthographic Rules," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(3s), pages 5548-5621, November.
    27. Cornelius A. Rietveld & Eric A.W. Slob & A. Roy Thurik, 2021. "A decade of research on the genetics of entrepreneurship: a review and view ahead," Small Business Economics, Springer, vol. 57(3), pages 1303-1317, October.
    28. Md. Moksedul Momin & Jisu Shin & Soohyun Lee & Buu Truong & Beben Benyamin & S. Hong Lee, 2023. "A method for an unbiased estimate of cross-ancestry genetic correlation using individual-level data," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    29. Abdellaoui, Abdel & Martin, Hilary C. & Rutherford, Adam & Kolk, Martin & Muthukrishna, Michael & Tropf, Felix & Mills, Melinda C. & Zietsch, Brendan & Verweij, Karin J.H. & Visscher, Peter M., 2025. "Socio-economic status is a social construct with heritable components and genetic consequences: a social construct with heritable components and genetic consequences," LSE Research Online Documents on Economics 127662, London School of Economics and Political Science, LSE Library.
    30. Ronald de Vlaming & Aysu Okbay & Cornelius A Rietveld & Magnus Johannesson & Patrik K E Magnusson & André G Uitterlinden & Frank J A van Rooij & Albert Hofman & Patrick J F Groenen & A Roy Thurik & Ph, 2017. "Meta-GWAS Accuracy and Power (MetaGAP) Calculator Shows that Hiding Heritability Is Partially Due to Imperfect Genetic Correlations across Studies," PLOS Genetics, Public Library of Science, vol. 13(1), pages 1-23, January.
    31. Viinikainen, Jutta & Bryson, Alex & Böckerman, Petri & Elovainio, Marko & Hutri-Kähönen, Nina & Juonala, Markus & Lehtimäki, Terho & Pahkala, Katja & Rovio, Suvi & Pulkki-Råback, Laura & Raitakari, Ol, 2020. "Do childhood infections affect labour market outcomes in adulthood and, if so, how?," Economics & Human Biology, Elsevier, vol. 37(C).
    32. A. Roy Thurik & David B. Audretsch & Jörn H. Block & Andrew Burke & Martin A. Carree & Marcus Dejardin & Cornelius A. Rietveld & Mark Sanders & Ute Stephan & Johan Wiklund, 2024. "The impact of entrepreneurship research on other academic fields," Small Business Economics, Springer, vol. 62(2), pages 727-751, February.
    33. Lauren L. Schmitz & Dalton Conley, 2016. "The Effect of Vietnam-Era Conscription and Genetic Potential for Educational Attainment on Schooling Outcomes," NBER Working Papers 22393, National Bureau of Economic Research, Inc.
    34. Hilger, Kirsten & Spinath, Frank M. & Troche, Stefan & Schubert, Anna-Lena, 2022. "The biological basis of intelligence: Benchmark findings," Intelligence, Elsevier, vol. 93(C).
    35. Brooke M Huibregtse & Breanne L Newell-Stamper & Benjamin W Domingue & Jason D Boardman & Anna Zajacova, 2021. "Genes Related to Education Predict Frailty Among Older Adults in the United States [Genetic analysis of social-class mobility in five longitudinal studies]," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 76(1), pages 173-183.
    36. Melanie Goisauf & Kaya Akyüz & Gillian M. Martin, 2020. "Moving back to the future of big data-driven research: reflecting on the social in genomics," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-9, December.
    37. Kieron J. Barclay & Martin Hällsten, 2019. "Socioeconomic variation in child educational and socioeconomic attainment after parental death in Sweden," MPIDR Working Papers WP-2019-008, Max Planck Institute for Demographic Research, Rostock, Germany.
    38. Michaela Paffenholz, 2023. "Adolescents’ Mental Health and Human Capital: The Role of Socioeconomic Rank," CESifo Working Paper Series 10248, CESifo.
    39. Jung, Dawoon & Lee, Jinkook & Meijer, Erik, 2022. "Revisiting the effect of retirement on Cognition: Heterogeneity and endowment," The Journal of the Economics of Ageing, Elsevier, vol. 21(C).
    40. Hans Kippersluis & Pietro Biroli & Rita Dias Pereira & Titus J. Galama & Stephanie Hinke & S. Fleur W. Meddens & Dilnoza Muslimova & Eric A. W. Slob & Ronald Vlaming & Cornelius A. Rietveld, 2023. "Overcoming attenuation bias in regressions using polygenic indices," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    41. Barban, Nicola & De Cao, Elisabetta & Oreffice, Sonia & Quintana-Domeque, Climent, 2021. "The effect of education on spousal education: A genetic approach," Labour Economics, Elsevier, vol. 71(C).
    42. Jonsdottir, Gudrun A. & Einarsson, Gudmundur & Thorleifsson, Gudmar & Magnusson, Sigurdur H. & Gunnarsson, Arni F. & Frigge, Michael L. & Gisladottir, Rosa S. & Unnsteinsdottir, Unnur & Gunnarsson, Bj, 2021. "Genetic propensities for verbal and spatial ability have opposite effects on body mass index and risk of schizophrenia," Intelligence, Elsevier, vol. 88(C).
    43. Viinikainen, Jutta & Bryson, Alex & Böckerman, Petri & Kari, Jaana T. & Lehtimäki, Terho & Raitakari, Olli & Viikari, Jorma & Pehkonen, Jaakko, 2022. "Does better education mitigate risky health behavior? A mendelian randomization study," Economics & Human Biology, Elsevier, vol. 46(C).
    44. Robin Chark & Songfa Zhong & Shui Ying Tsang & Chiea Chuen Khor & Richard P. Ebstein & Hong Xue & Soo Hong Chew, 2022. "A gene–brain–behavior basis for familiarity bias in source preference," Theory and Decision, Springer, vol. 92(3), pages 531-567, April.
    45. Bhatnagar, Sahir R. & Lu, Tianyuan & Lovato, Amanda & Olds, David L. & Kobor, Michael S. & Meaney, Michael J. & O'Donnell, Kieran & Yang, Archer Y. & Greenwood, Celia M.T., 2023. "A sparse additive model for high-dimensional interactions with an exposure variable," Computational Statistics & Data Analysis, Elsevier, vol. 179(C).
    46. Hur, Yoon-Mi, 2020. "Relationships between cognitive abilities and prosocial behavior are entirely explained by shared genetic influences: A Nigerian twin study," Intelligence, Elsevier, vol. 82(C).
    47. Fletcher, Jason, 2023. "Decoupling genetics from attainments: The role of social environments," Economics & Human Biology, Elsevier, vol. 50(C).
    48. Evans, Linnea & Engelman, Michal & Mikulas, Alex & Malecki, Kristen, 2021. "How are social determinants of health integrated into epigenetic research? A systematic review," Social Science & Medicine, Elsevier, vol. 273(C).
    49. Jaakko Pehkonen & Jutta Viinikainen & Jaana T. Kari & Petri Böckerman & Terho Lehtimäki & Olli Raitakari, 2021. "Birth weight and adult income: An examination of mediation through adult height and body mass," Health Economics, John Wiley & Sons, Ltd., vol. 30(10), pages 2383-2398, September.
    50. Emil M. Pedersen & Esben Agerbo & Oleguer Plana-Ripoll & Jette Steinbach & Morten D. Krebs & David M. Hougaard & Thomas Werge & Merete Nordentoft & Anders D. Børglum & Katherine L. Musliner & Andrea G, 2023. "ADuLT: An efficient and robust time-to-event GWAS," Nature Communications, Nature, vol. 14(1), pages 1-12, December.

  6. Magnus Johannesson & David I. Laibson & Sarah E. Medland & Michelle N. Meyer & Joseph K. Pickrell & Tõnu Esko & Robert F. Krueger & Jonathan P. Beauchamp & Philipp D. Koellinger & Daniel J. Benjamin &, 2016. "Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses," Post-Print hal-02017373, HAL.

    Cited by:

    1. Masahiro Matsunaga & Takahiko Masuda & Keiko Ishii & Yohsuke Ohtsubo & Yasuki Noguchi & Misaki Ochi & Hidenori Yamasue, 2018. "Culture and cannabinoid receptor gene polymorphism interact to influence the perception of happiness," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-17, December.
    2. David G. Blanchflower & Alex Bryson, 2021. "Taking the Pulse of Nations: a Biometric Measure of Well-being," NBER Working Papers 29587, National Bureau of Economic Research, Inc.
    3. Alfonso Flores-Lagunes & Amin Vikesh & Carlos A. Flores, 2019. "The Impact of BMI on Mental Health: Further Evidence from Genetic Markers," Center for Policy Research Working Papers 216, Center for Policy Research, Maxwell School, Syracuse University.
    4. Giorgia Menta & Anthony Lepinteur & Andrew E. Clark & Simone Ghislandi & Conchita d'Ambrosio, 2023. "Maternal genetic risk for depression and child human capital," Post-Print halshs-04205898, HAL.
    5. Margot P. Weijer & Dirk H. M. Pelt & Lianne P. Vries & Bart M. L. Baselmans & Meike Bartels, 2022. "A Re-evaluation of Candidate Gene Studies for Well-Being in Light of Genome-Wide Evidence," Journal of Happiness Studies, Springer, vol. 23(6), pages 3031-3053, August.
    6. Andrew E. Clark & Conchita D'Ambrosio & Simone Ghislandi & Anthony Lepinteur & Giorgia Menta, 2021. "Maternal depression and child human capital: a genetic instrumental-variable approach," CEP Discussion Papers dp1749, Centre for Economic Performance, LSE.
    7. Carcaba, Ana & Arrondo, Ruben & Gonzalez, Eduardo, 2022. "Does good local governance improve subjective well-being?," MPRA Paper 123247, University Library of Munich, Germany.
    8. Mohsen Joshanloo, 2022. "Longitudinal Relations Between Depressive Symptoms and Life Satisfaction Over 15 Years," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(5), pages 3115-3130, October.
    9. Alexander Neumann & Ilja M Nolte & Irene Pappa & Tarunveer S Ahluwalia & Erik Pettersson & Alina Rodriguez & Andrew Whitehouse & Catharina E M van Beijsterveldt & Beben Benyamin & Anke R Hammerschlag , 2022. "A genome-wide association study of total child psychiatric problems scores," PLOS ONE, Public Library of Science, vol. 17(8), pages 1-23, August.
    10. Buser, Thomas & Ahlskog, Rafael & Johannesson, Magnus & Koellinger, Philipp & Oskarsson, Sven, 2024. "The causal effect of genetic variants linked to cognitive and non-cognitive skills on education and labor market outcomes," Labour Economics, Elsevier, vol. 90(C).
    11. Das, Aniruddha, 2019. "Genes, depressive symptoms, and chronic stressors: A nationally representative longitudinal study in the United States," Social Science & Medicine, Elsevier, vol. 242(C).
    12. Nagel, Mats, 2020. "Changing perspectives: Towards detailed phenotyping in genetics," Thesis Commons a4nz2, Center for Open Science.
    13. Bernd Lachmann & Anna Doebler & Cornelia Sindermann & Rayna Sariyska & Andrew Cooper & Heidrun Haas & Christian Montag, 2021. "The Molecular Genetics of Life Satisfaction: Extending Findings from a Recent Genome-Wide Association Study and Examining the Role of the Serotonin Transporter," Journal of Happiness Studies, Springer, vol. 22(1), pages 305-322, January.
    14. Cornelius A. Rietveld & Eric A.W. Slob & A. Roy Thurik, 2021. "A decade of research on the genetics of entrepreneurship: a review and view ahead," Small Business Economics, Springer, vol. 57(3), pages 1303-1317, October.
    15. Andrea G Allegrini & Ville Karhunen & Jonathan R I Coleman & Saskia Selzam & Kaili Rimfeld & Sophie von Stumm & Jean-Baptiste Pingault & Robert Plomin, 2020. "Multivariable G-E interplay in the prediction of educational achievement," PLOS Genetics, Public Library of Science, vol. 16(11), pages 1-20, November.
    16. Xuefeng Li & Han Yang & Jin Jia, 2022. "Impact of energy poverty on cognitive and mental health among middle-aged and older adults in China," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-13, December.
    17. Thomas Buser & Rafael Ahlskog & Magnus Johannesson & Sven Oskarsson, 2022. "Occupational sorting on genes," Tinbergen Institute Discussion Papers 22-062/I, Tinbergen Institute, revised 29 Mar 2023.
    18. Gueltzow, Maria & Lahtinen, Hannu & Bijlsma, Maarten J. & Myrskylä, Mikko & Martikainen, Pekka, 2024. "Genetic propensity to depression and the role of partnership status," Social Science & Medicine, Elsevier, vol. 351(C).
    19. Yingying Jiang & Chan Lu & Jing Chen & Yufeng Miao & Yuguo Li & Qihong Deng, 2022. "Happiness in University Students: Personal, Familial, and Social Factors: A Cross-Sectional Questionnaire Survey," IJERPH, MDPI, vol. 19(8), pages 1-12, April.
    20. Arrondo, Ruben & Carcaba, Ana & Gonzalez, Eduardo, 2021. "Drivers of Subjective Well-Being Under Different Economic Scenarios," MPRA Paper 123249, University Library of Munich, Germany.
    21. Lianne P. Vries & Bart M. L. Baselmans & Meike Bartels, 2021. "Smartphone-Based Ecological Momentary Assessment of Well-Being: A Systematic Review and Recommendations for Future Studies," Journal of Happiness Studies, Springer, vol. 22(5), pages 2361-2408, June.
    22. Priya Gupta & Marco Galimberti & Yue Liu & Sarah Beck & Aliza Wingo & Thomas Wingo & Keyrun Adhikari & Henry R. Kranzler & Murray B. Stein & Joel Gelernter & Daniel F. Levey, 2024. "A genome-wide investigation into the underlying genetic architecture of personality traits and overlap with psychopathology," Nature Human Behaviour, Nature, vol. 8(11), pages 2235-2249, November.
    23. Viinikainen, Jutta & Bryson, Alex & Böckerman, Petri & Kari, Jaana T. & Lehtimäki, Terho & Raitakari, Olli & Viikari, Jorma & Pehkonen, Jaakko, 2022. "Does better education mitigate risky health behavior? A mendelian randomization study," Economics & Human Biology, Elsevier, vol. 46(C).
    24. Carcaba, Ana & Gonzalez, Eduardo & Arrondo, Ruben, 2023. "Effects of the political configuration of local governments on subjective well-being," MPRA Paper 123248, University Library of Munich, Germany.
    25. Ana Cárcaba & Eduardo González, 2024. "The relationship between income and subjective well-being: the case of Spain," Economics and Business Letters, Oviedo University Press, vol. 13(4), pages 203-212.

  7. James McDonald & Patrick A. Turley & Jeff Sorensen, 2011. "Skewness and Kurtosis Properties of Income Distribution Models," LIS Working papers 569, LIS Cross-National Data Center in Luxembourg.

    Cited by:

    1. Safari, Muhammad Aslam Mohd & Masseran, Nurulkamal & Ibrahim, Kamarulzaman & AL-Dhurafi, Nasr Ahmed, 2020. "The power-law distribution for the income of poor households," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 557(C).
    2. David Mauler & James McDonald, 2015. "Option Pricing and Distribution Characteristics," Computational Economics, Springer;Society for Computational Economics, vol. 45(4), pages 579-595, April.
    3. Michael McAler & Hang K. Ryu & Daniel J. Slottje, 2017. "A New Inequality Measure that is Sensitive to Extreme Values and Asymmetries," Tinbergen Institute Discussion Papers 17-102/III, Tinbergen Institute.
    4. Vladimir Hlasny, 2020. "Parametric Representation of the Top of Income Distributions: Options, Historical Evidence and Model Selection," Commitment to Equity (CEQ) Working Paper Series 90, Tulane University, Department of Economics.
    5. Higbee, Joshua D. & Jensen, Jonathan E. & McDonald, James B., 2019. "The asymmetric log-Laplace distribution as a limiting case of the generalized beta distribution," Statistics & Probability Letters, Elsevier, vol. 151(C), pages 73-78.
    6. Enrico Fabrizi & Maria Rosaria Ferrante & Carlo Trivisano, 2020. "A functional approach to small area estimation of the relative median poverty gap," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(3), pages 1273-1291, June.
    7. Ariston Karagiorgis & Antonis Ballis & Konstantinos Drakos, 2024. "The Skewness‐Kurtosis plane for cryptocurrencies' universe," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 2543-2555, April.
    8. Karagiorgis, Ariston & Drakos, Konstantinos, 2022. "The Skewness-Kurtosis plane for non-Gaussian systems: The case of hedge fund returns," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    9. Jones, A. & Lomas, J. & Rice, N., 2014. "Going Beyond the Mean in Healthcare Cost Regressions: a Comparison of Methods for Estimating the Full Conditional Distribution," Health, Econometrics and Data Group (HEDG) Working Papers 14/26, HEDG, c/o Department of Economics, University of York.
    10. Wang, Frank Xuyan, 2021. "Shape factor asymptotic analysis II," MPRA Paper 110827, University Library of Munich, Germany.
    11. Sriubaite, I. & Harris, A. & Jones, A.M. & Gabbe, B., 2020. "Economic Consequences of Road Traffic Injuries. Application of the Super Learner algorithm," Health, Econometrics and Data Group (HEDG) Working Papers 20/20, HEDG, c/o Department of Economics, University of York.
    12. Andrew M. Jones & James Lomas & Peter T. Moore & Nigel Rice, 2016. "A quasi-Monte-Carlo comparison of parametric and semiparametric regression methods for heavy-tailed and non-normal data: an application to healthcare costs," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(4), pages 951-974, October.
    13. McDonald, James B. & Sorensen, Jeff, 2017. "Academic salary compression across disciplines and over time," Economics of Education Review, Elsevier, vol. 59(C), pages 87-104.
    14. Andrew M. Jones & James Lomas & Nigel Rice, 2015. "Healthcare Cost Regressions: Going Beyond the Mean to Estimate the Full Distribution," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1192-1212, September.
    15. Wang, Frank Xuyan, 2019. "Shape Factor Asymptotic Analysis I," MPRA Paper 93357, University Library of Munich, Germany.
    16. Jingjing Bai & Wei Gu & Xiaodong Yuan & Qun Li & Feng Xue & Xuchong Wang, 2015. "Power Quality Prediction, Early Warning, and Control for Points of Common Coupling with Wind Farms," Energies, MDPI, vol. 8(9), pages 1-18, August.
    17. Tomson Ogwang, 2022. "The Foster–Greer–Thorbecke Poverty Measures Reveal More," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(3), pages 1481-1503, December.
    18. Marco Bee & Julien Hambuckers & Flavio Santi & Luca Trapin, 2021. "Testing a parameter restriction on the boundary for the g-and-h distribution: a simulated approach," Computational Statistics, Springer, vol. 36(3), pages 2177-2200, September.
    19. Duangkamon Chotikapanich & William E. Griffiths & Gholamreza Hajargasht & Wasana Karunarathne & D. S. Prasada Rao, 2018. "Using the GB2 Income Distribution," Econometrics, MDPI, vol. 6(2), pages 1-24, April.

Articles

  1. Jeffrey T. Denning & Patrick Turley, 2017. "Was That SMART?: Institutional Financial Incentives and Field of Study," Journal of Human Resources, University of Wisconsin Press, vol. 52(1), pages 152-186.

    Cited by:

    1. Zachary Bleemer, 2022. "Affirmative Action, Mismatch, and Economic Mobility after California’s Proposition 209," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 137(1), pages 115-160.
    2. Avery, Christopher & Gurantz, Oded & Hurwitz, Michael & Smith, Jonathan, 2016. "Shifting College Majors in Response to Advanced Placement Exam Scores," Working Paper Series rwp16-058, Harvard University, John F. Kennedy School of Government.
    3. Yanqing Ding & Wei Li & Xin Li & Yinduo Wu & Jin Yang & Xiaoyang Ye, 2021. "Heterogeneous Major Preferences for Extrinsic Incentives: The Effects of Wage Information on the Gender Gap in STEM Major Choice," Research in Higher Education, Springer;Association for Institutional Research, vol. 62(8), pages 1113-1145, December.
    4. Peter Bergman & Jeffrey T. Denning & Dayanand Manoli, 2019. "Is Information Enough? The Effect of Information about Education Tax Benefits on Student Outcomes," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 38(3), pages 706-731, June.
    5. French, Robert & Oreopoulos, Philip, 2017. "Behavioral barriers transitioning to college," Labour Economics, Elsevier, vol. 47(C), pages 48-63.
    6. Patterson, Richard & Pope, Nolan G. & Feudo, Aaron, 2019. "Timing Is Everything: Evidence from College Major Decisions," IZA Discussion Papers 12069, Institute of Labor Economics (IZA).
    7. Zachary Bleemer & Aashish Mehta, 2024. "College Major Restrictions and Student Stratification," CESifo Working Paper Series 11601, CESifo.
    8. Kevin J. Mumford & Richard W. Patterson & Anthony Yim, 2024. "College Course Shutouts," CESifo Working Paper Series 11005, CESifo.
    9. Kareem Haggag & Richard W. Patterson & Nolan G. Pope & Aaron Feudo, 2018. "Attribution Bias in Major Decisions: Evidence from the United States Military Academy," CESifo Working Paper Series 7081, CESifo.
    10. Serena Canaan & Antoine Deeb & Pierre Mouganie, 2022. "Adviser Value Added and Student Outcomes: Evidence from Randomly Assigned College Advisers," American Economic Journal: Economic Policy, American Economic Association, vol. 14(4), pages 151-191, November.
    11. Winters, John V., 2014. "Foreign and Native-Born STEM Graduates and Innovation Intensity in the United States," IZA Discussion Papers 8575, Institute of Labor Economics (IZA).
    12. Winters, John V., 2013. "STEM Graduates, Human Capital Externalities, and Wages in the U.S," IZA Discussion Papers 7830, Institute of Labor Economics (IZA).
    13. Margaret E. Blume‐Kohout & Jacob P. Scott, 2022. "Incentivizing STEM participation: Evidence from the SMART Grant Program," Southern Economic Journal, John Wiley & Sons, vol. 89(2), pages 373-405, October.
    14. James C. Davis & Holden A. Diethorn & Gerald R. Marschke & Andrew J. Wang, 2021. "STEM Employment Resiliency During Recessions: Evidence from the COVID-19 Pandemic," NBER Working Papers 29568, National Bureau of Economic Research, Inc.
    15. Drew M. Anderson & Katharine M. Broton & Sara Goldrick‐Rab & Robert Kelchen, 2020. "Experimental Evidence on the Impacts of Need‐Based Financial Aid: Longitudinal Assessment of the Wisconsin Scholars Grant," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(3), pages 720-739, June.
    16. Sjoquist, David L. & Winters, John V., 2015. "The Effect of Georgia's HOPE Scholarship on College Major: A Focus on STEM," IZA Discussion Papers 8875, Institute of Labor Economics (IZA).
    17. Gregory Gilpin & Michael Kofoed, 2020. "Employer-Sponsored Education Assistance and Graduate Program Choice, Cost, and Finance," Research in Higher Education, Springer;Association for Institutional Research, vol. 61(4), pages 431-458, June.
    18. John V. Winters, 2017. "Do Native STEM Graduates Increase Innovation? Evidence from U.S. Metropolitan Areas," Economics Working Paper Series 1714, Oklahoma State University, Department of Economics and Legal Studies in Business.

  2. James B. Mcdonald & Jeff Sorensen & Patrick A. Turley, 2013. "Skewness And Kurtosis Properties Of Income Distribution Models," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 59(2), pages 360-374, June.
    See citations under working paper version above.
  3. McDonald, James B. & Turley, Patrick, 2011. "Distributional Characteristics: Just a Few More Moments," The American Statistician, American Statistical Association, vol. 65(2), pages 96-103.

    Cited by:

    1. David Mauler & James McDonald, 2015. "Option Pricing and Distribution Characteristics," Computational Economics, Springer;Society for Computational Economics, vol. 45(4), pages 579-595, April.
    2. Jason Cook & James McDonald, 2013. "Partially Adaptive Estimation of Interval Censored Regression Models," Computational Economics, Springer;Society for Computational Economics, vol. 42(1), pages 119-131, June.
    3. Hui Tian & Andrew Yim & David P. Newton, 2021. "Tail-Heaviness, Asymmetry, and Profitability Forecasting by Quantile Regression," Management Science, INFORMS, vol. 67(8), pages 5209-5233, August.

More information

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Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 5 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-HEA: Health Economics (3) 2018-11-26 2019-06-24 2025-02-24
  2. NEP-EUR: Microeconomic European Issues (2) 2019-06-24 2021-05-17
  3. NEP-DEM: Demographic Economics (1) 2025-02-24
  4. NEP-EDU: Education (1) 2021-05-17
  5. NEP-EVO: Evolutionary Economics (1) 2024-06-17
  6. NEP-EXP: Experimental Economics (1) 2018-11-26
  7. NEP-LTV: Unemployment, Inequality and Poverty (1) 2024-06-17

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