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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 & 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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. Silvia H. Barcellos & Leandro S. Carvalho & Patrick Turley, 2018. "Education can reduce health differences related to genetic risk of obesity," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 115(42), pages 9765-9772, October.
  2. 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.
  3. 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.
  4. 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.

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. 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 Galama & Stephanie von Hinke & Hans van Kippersluis & Kevin Thom, 2022. "Economics and Econometrics of Gene-Environment Interplay," Bristol Economics Discussion Papers 22/759, School of Economics, University of Bristol, UK.
    2. Barban, Nicola & De Cao, Elisabetta & Francesconi, Marco, 2021. "Gene-Environment Effects on Female Fertility," CEPR Discussion Papers 16603, C.E.P.R. Discussion Papers.

  2. 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. Janke, Katharina & Johnston, David & Propper, Carol & Shields, Michael, 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.

  3. 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. "Efficient Treatment Effect Estimation in Observational Studies under Heterogeneous Partial Interference," Papers 2107.12420, arXiv.org, revised Jun 2022.
    3. Chowdhury, Shyamal & Sutter, Matthias & Zimmermann, Klaus F., 2020. "Economic preferences across generations and family clusters: A large-scale experiment," GLO Discussion Paper Series 592, Global Labor Organization (GLO).
    4. 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.
    5. Silvia Angerer & E. Glenn Dutcher & Daniela Glätzle-Rützler & Philipp Lergetporer & Matthias Sutter, 2021. "The Formation of Risk Preferences Through Small-Scale Events," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2021_16, Max Planck Institute for Research on Collective Goods.
    6. Giorgia Menta & Anthony Lepinteur & Andrew Clark & Simone Ghislandi & Conchita d'Ambrosio, 2021. "Maternal depression and child human capital: A genetic instrumental-variable approach," PSE Working Papers halshs-03157270, HAL.
    7. Atticus Bolyard & Peter Savelyev, 2021. "Understanding the Educational Attainment Polygenic Score and its Interactions with SES in Determining Health in Young Adulthood," Working Papers 2021-026, Human Capital and Economic Opportunity Working Group.
    8. Barban, Nicola & De Cao, Elisabetta & Francesconi, Marco, 2021. "Gene-Environment Effects on Female Fertility," CEPR Discussion Papers 16603, C.E.P.R. Discussion Papers.
    9. John List & Ragan Petrie & Anya Samek, 2021. "How Experiments with Children Inform Economics," Artefactual Field Experiments 00729, The Field Experiments Website.
    10. 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.
    11. 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.
    12. 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.

  4. 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. 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.
    2. Pietro Biroli & Titus Galama & Stephanie von Hinke & Hans van Kippersluis & Kevin Thom, 2022. "Economics and Econometrics of Gene-Environment Interplay," Bristol Economics Discussion Papers 22/759, School of Economics, University of Bristol, UK.
    3. Shelly Lundberg & Aloysius Siow, 2017. "Canadian contributions to family economics," Canadian Journal of Economics, Canadian Economics Association, vol. 50(5), pages 1304-1323, December.
    4. 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).
    5. 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.
    6. 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.
    7. Hilger, Kirsten & Spinath, Frank M. & Troche, Stefan & Schubert, Anna-Lena, 2022. "The biological basis of intelligence: Benchmark findings," Intelligence, Elsevier, vol. 93(C).
    8. 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.
    9. Nicholas W. Papageorge & Kevin Thom, 2018. "Genes, Education, and Labor Market Outcomes: Evidence from the Health and Retirement Study," Working Papers 2018-076, Human Capital and Economic Opportunity Working Group.
    10. 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).
    11. 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.
    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. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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).
    20. Nagel, Mats, 2020. "Changing perspectives: Towards detailed phenotyping in genetics," Thesis Commons a4nz2, Center for Open Science.
    21. 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).
    22. 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).
    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. 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.
    25. 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.
    26. 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).
    27. 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).
    28. 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.

  5. 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. Thomas Buser & Rafael Ahlskog & Magnus Johannesson & Sven Oskarsson, 2022. "Occupational sorting on genes," Tinbergen Institute Discussion Papers 22-062/I, Tinbergen Institute.
    3. 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.
    4. 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.
    5. Giorgia Menta & Anthony Lepinteur & Andrew Clark & Simone Ghislandi & Conchita d'Ambrosio, 2021. "Maternal depression and child human capital: A genetic instrumental-variable approach," PSE Working Papers halshs-03157270, HAL.
    6. 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.
    7. 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.
    8. 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.
    9. 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).
    10. Nagel, Mats, 2020. "Changing perspectives: Towards detailed phenotyping in genetics," Thesis Commons a4nz2, Center for Open Science.
    11. 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.
    12. 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).
    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. Menta, Giorgia & Lepinteur, Anthony & Clark, Andrew E. & Ghislandi, Simone & D'Ambrosio, Conchita, 2022. "Maternal Genetic Risk for Depression and Child Human Capital," IZA Discussion Papers 15798, Institute of Labor Economics (IZA).
    15. 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.
    16. 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.
    17. 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.

  6. 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. 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).
    2. David J. Mauler & James B. McDonald, 2012. "Option Pricing and Distribution Characteristics," BYU Macroeconomics and Computational Laboratory Working Paper Series 2012-08, Brigham Young University, Department of Economics, BYU Macroeconomics and Computational Laboratory.
    3. 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).
    4. McAleer, M.J. & Ryu, H.K. & Slottje, D.J., 2017. "A New Inequality Measure that is Sensitive to Extreme Values and Asymmetries," Econometric Institute Research Papers EI2017-28, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. 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.
    6. Wang, Frank Xuyan, 2021. "Shape factor asymptotic analysis II," MPRA Paper 110827, University Library of Munich, Germany.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. Wang, Frank Xuyan, 2019. "Shape Factor Asymptotic Analysis I," MPRA Paper 93357, University Library of Munich, Germany.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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. Silvia H. Barcellos & Leandro S. Carvalho & Patrick Turley, 2018. "Education can reduce health differences related to genetic risk of obesity," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 115(42), pages 9765-9772, October.

    Cited by:

    1. Pietro Biroli & Titus Galama & Stephanie von Hinke & Hans van Kippersluis & Kevin Thom, 2022. "Economics and Econometrics of Gene-Environment Interplay," Bristol Economics Discussion Papers 22/759, School of Economics, University of Bristol, UK.
    2. Savelyev, Peter A. & Ward, Benjamin C. & Krueger, Robert F. & McGue, Matt, 2021. "Health Endowments, Schooling Allocation in the Family, and Longevity: Evidence from US Twins," IZA Discussion Papers 14600, Institute of Labor Economics (IZA).
    3. Brunello, Giorgio & Sanz-de-Galdeano, Anna & Terskaya, Anastasia, 2020. "Not only in my genes: The effects of peers’ genotype on obesity," Journal of Health Economics, Elsevier, vol. 72(C).
    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. Amin, Vikesh & Behrman, Jere R. & Fletcher, Jason M. & Flores, Carlos A. & Flores-Lagunes, Alfonso & Kohler, Hans-Peter, 2019. "Mental Health, Schooling Attainment and Polygenic Scores: Are There Significant Gene-Environment Associations?," GLO Discussion Paper Series 362, Global Labor Organization (GLO).
    6. Atticus Bolyard & Peter Savelyev, 2021. "Understanding the Educational Attainment Polygenic Score and its Interactions with SES in Determining Health in Young Adulthood," Working Papers 2021-026, Human Capital and Economic Opportunity Working Group.
    7. Pereira, Rita & Biroli, Pietro & von hinke, stephanie & Van Kippersluis, Hans & Galama, Titus & Rietveld, Niels & Thom, Kevin, 2022. "Gene-Environment Interplay in the Social Sciences," OSF Preprints d96z3, Center for Open Science.
    8. 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.
    9. Raquel Fonseca & Pierre-Carl Michaud & Yuhui Zheng, 2018. "The Effect of Education on Health: Evidence from National Compulsory Schooling Reforms," CIRANO Working Papers 2018s-10, CIRANO.
    10. Adriana Lleras‐Muney, 2022. "Education and income gradients in longevity: The role of policy," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(1), pages 5-37, February.
    11. Barban, Nicola & De Cao, Elisabetta & Francesconi, Marco, 2021. "Gene-Environment Effects on Female Fertility," CEPR Discussion Papers 16603, C.E.P.R. Discussion Papers.
    12. Prakash, Kushneel & Munyanyi, Musharavati Ephraim, 2021. "Energy poverty and obesity," Energy Economics, Elsevier, vol. 101(C).
    13. Janke, Katharina & Johnston, David & Propper, Carol & Shields, Michael, 2019. "The causal effect of education on chronic health conditions in the UK," CEPR Discussion Papers 14084, C.E.P.R. Discussion Papers.
    14. 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).
    15. Biroli, Pietro & Zwyssig, Laura, 2021. "Moral Hazard Heterogeneity: Genes and Health Insurance Influence Smoking after a Health Shock," IZA Discussion Papers 14176, Institute of Labor Economics (IZA).
    16. Lleras-Muney, Adriana & Price, Joseph & Yue, Dahai, 2022. "The association between educational attainment and longevity using individual-level data from the 1940 census," Journal of Health Economics, Elsevier, vol. 84(C).
    17. Vikesh Amin & Jere R. Behrman & Jason M. Fletcher & Carlos A. Flores & Alfonso Flores-Lagunes & Hans-Peter Kohler, 2020. "Mental Health, Schooling Attainment and Polygenic Scores: Are There Significant Genetic-Environmental Associations?," PIER Working Paper Archive 20-007, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    18. 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.
    19. 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).
    20. Eunok Park & Young Ko, 2021. "Socioeconomic Vulnerability Index and Obesity among Korean Adults," IJERPH, MDPI, vol. 18(24), pages 1-8, December.

  2. 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. Christopher Avery & Oded Gurantz & Michael Hurwitz & Jonathan Smith, 2016. "Shifting College Majors in Response to Advanced Placement Exam Scores," NBER Working Papers 22841, National Bureau of Economic Research, Inc.
    2. Winters, John V., 2013. "STEM Graduates, Human Capital Externalities, and Wages in the U.S," IZA Discussion Papers 7830, Institute of Labor Economics (IZA).
    3. Zachary Bleemer, 2022. "Affirmative Action, Mismatch, and Economic Mobility after California’s Proposition 209," The Quarterly Journal of Economics, Oxford University Press, vol. 137(1), pages 115-160.
    4. 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.
    5. Canaan, Serena & Deeb, Antoine & Mouganie, Pierre, 2019. "Advisor Value-Added and Student Outcomes: Evidence from Randomly Assigned College Advisors," IZA Discussion Papers 12739, Institute of Labor Economics (IZA).
    6. 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.
    7. French, Robert & Oreopoulos, Philip, 2017. "Behavioral barriers transitioning to college," Labour Economics, Elsevier, vol. 47(C), pages 48-63.
    8. 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).
    9. 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.
    10. Haggag, Kareem & Patterson, Richard W. & Pope, Nolan G. & Feudo, Aaron, 2021. "Attribution bias in major decisions: Evidence from the United States Military Academy," Journal of Public Economics, Elsevier, vol. 200(C).
    11. 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).
    12. 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.
    13. 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.
    14. 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.
    15. 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).
    16. Bleemer , Zachary & Mehta, Aashish, 2021. "College Major Restrictions and Student Stratification," University of California at Berkeley, Center for Studies in Higher Education qt513249vg, Center for Studies in Higher Education, UC Berkeley.

  3. 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.
  4. 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 J. Mauler & James B. McDonald, 2012. "Option Pricing and Distribution Characteristics," BYU Macroeconomics and Computational Laboratory Working Paper Series 2012-08, Brigham Young University, Department of Economics, BYU Macroeconomics and Computational Laboratory.
    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.

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NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 3 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-EUR: Microeconomic European Issues (2) 2019-06-24 2021-05-17
  2. NEP-HEA: Health Economics (2) 2018-11-26 2019-06-24
  3. NEP-EDU: Education (1) 2021-05-17
  4. NEP-EXP: Experimental Economics (1) 2018-11-26

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