More about CSHI

• CSHI staff

  BIOGRAPHICAL SKETCH

  Titus Galama, Ph.D., MBA, is an Associate Professor of Economics at the University of Southern California's (USC) Dornsife Center for Economic and Social Research (CESR) and at USC's Economics Department, Director of the CESR Center for the Study of Health Inequality (CSHI), Associate Professor of Economics at the School of Business and Economics (SBE), Vrije Universiteit Amsterdam, and Research Fellow at the Tinbergen Institute, Amsterdam, The Netherlands. 

  Titus is an award-winning astrophysicist who turned to business/management then policy analysis, economics and social-science genetics. Titus Galama was awarded an M.Sc. in Physics in 1995 (cum laude) and a Ph.D. in Astrophysics in 1999 (cum laude) from the University of Amsterdam, the Netherlands, an MBA in 2003 from INSEAD, France / Singapore and a Ph.D. in Economics in 2011 from the University of Tilburg, The Netherlands. He has been at the forefront of several breakthrough discoveries in astrophysics, two of which were considered the 5th and 10th most significant scientific discoveries (in all science fields) of 1997 and 1999, respectively, by Science magazine. After completion of his thesis in astrophysics he worked as a Fairchild Postdoctoral Prize Fellow at the California Institute of Technology (Caltech), Pasadena, U.S.A. He has authored six book chapters and 70 peer-reviewed scientific publications, many in top scientific journals (e.g., six papers [three first-author] in Nature). His publications are highly cited (with ~ 14,500 life-time citations and an h-index of ~ 55). Following his career in astrophysics, he obtained an MBA from INSEAD at the Singapore and French campuses, and subsequently joined L.E.K Consulting, a global strategy-consulting firm, as a Senior Consultant in the Los Angeles office. 

  Titus joined the RAND Corporation in 2006, USC’s CESR in 2013 and Vrije Universiteit Amsterdam in 2018. In these positions his focus has been on understanding the substantial disparities in health by socioeconomic status, utilizing economic principles and social-science genetics methods.  Titus is Principal Investigator (PI) on a National Institute of Aging (NIA) research grant (R01 AG055654; jointly with Dr. Faul, $4.3 million), focussed on identifying modifiable aspects of gene-by-environment interplay in later-life cognitive decline (2017-2022). He is also PI on a personal grant (VIDI) of the Netherlands Science Foundation (NWO; ~ $1 million; 11/2018-10/2023) and on a recent high-priority R56 grant (NIH; $860,000), to study the role of genetics and its interaction with environments in risky health behaviors. He was PI on an NIA grant aimed at improving understanding of disparities in health between socioeconomic status groups (R01; $ 2,500,000; 2010) and recipient of an NIA Independent Scientist Award aimed at improving understanding of disparities in health between education groups (K02; $870,000; 2012).

  EDUCATION

  Ph.D. Economics, University of Tilburg, The Netherlands, 07/2011

  M.B.A. Business, INSEAD Singapore/Paris, 07/2003

  Ph.D. Astrophysics, University of Amsterdam, The Netherlands, 12/1999

  M.S. Physics, University of Amsterdam, The Netherlands, 12/1995

  EMPLOYMENT

  Senior Economist, USC Center for Economic and Social Research, 2013

  Professor, Pardee RAND Graduate School, 2012

  Visiting Professor, Erasmus University, The Netherlands, 2012

  Economist, RAND Corporation, Santa Monica, 2006-2013

  Senior Policy Analyst, RAND Europe, The Netherlands, 2006-2006

  Senior Strategy Consultant, L.E.K. Consulting, Los Angeles, 2003-2005

  Fairchild Postdoctoral Prize Fellow in Astrophysics, California Institute of Technology, 1999-2002

  LINKS

  Curriculum Vitae

  Personal Website

  Google Scholar

  ResearchGate

  CSHI center members

• Journal Club / Seminar Series in Social-Science Genetics

  Welcome to the Journal Club / Seminar Series in Social-Science Genetics at USC's Center for Economic and Social Research (CESR) and the department of Economics at Vrije Universiteit (VU) Amsterdam. The Seminar / Journal Club Series provides an informal setting to discuss relevant papers in social-science genetics (typically presented by an author or sometimes reviewed by a club member). We are entirely based online, using Zoom as our platform, and our members are located across the U.S. and Europe. Our meetings are typically once a month on Friday at 10 am pacific time in the first or second week of the month. The series is jointly organized by Brian Finch, Titus Galama, Patrick Turley and Pam Tyler (all at CESR) and hosted by the CESR/VU Amsterdam Center for the Study of Health Inequality (CSHI) and the CESR Behavioral and Health Genomics Center (BHG). If you are interested in joining our mailing list, please contact Titus Galama. For a list of upcoming, and past presentations, see the Table below.

  Date  Time-10:00 AM (PT)	Speaker	Title of Talk	Suggested Literature
  March 4, 2022	Perline Demange	“Estimating effects of parents’ cognitive and non-cognitive skills on offspring education using polygenic scores”
  February 11, 2022	Sjoerd Van Alten	“The effects of demographic-based selection bias on GWAS results in the UK Biobank”
  January 14, 2022	Gabriella Conti	“Genes, Parental Education, and Inequalities in Human Capital: Evidence two British Cohorts"
  November 12, 2021	Leandro Carvalho	“Genotypes, Education, and Income”
  October 8, 2021	Silvia Barcellos	Presentation on “The Effect of Education on the Relationship between Genetics, Early-Life Disadvantages, and Later-Life SES”
  September 17, 2021	Marco Francesconi	Presentation on "Gene-Environment Effects on Female Fertility"
  July 16, 2021	Victor Ronda	Presentation on “The Nurture of Nature and the Nature of Nurture: How Genes and Investments Interact in the Formation of Skills”	The Nurture of Nature and the Nature of Nurture: How Genes and Investments Interact in the Formation of Skills
  July 9, 2021	Silvia Barcellos	Presentation on “Can Polygenic Scores Help Answer Questions of Interest to Applied Economists?”
  June 11, 2021	Fleur Meddens	Presentation on "Genetic contributions to inequality of opportunity"
  May 14, 2021	Hans van Kippersluis	Presentation on “Dynamic Complementarity in Skill Production: Evidence From Genetic Endowments and Birth Order”?
  May 7, 2021	Rosa Cheesman	Presentation on “Gene-environment interactions and childhood educational achievement: do within-family polygenic score effects vary across schools and neighbourhoods?”
  April 16, 2021	Pietro Biroli	Presentation on "Sources of inequality at birth: the interplay between genes and parental socioeconomic status"
  March 12, 2021	Patrick Turley	Discussion on “The imprint of assortative mating in the human genome reflects human behavior and social preferences”
  February 12, 2021	Alexander Young	Presentation on “Disentangling genes and environment using genomic family data”
  January 8, 2021	Sjoerd Van Alten	Presentation on the topic of parent-child dyads and imputation
  December 4, 2020	Neil Davies	Presentation on Mendellian randomization
  November 13, 2020	Jessica Faul	Presentation on "Collecting, extracting, and storing genetic material"
  August 7, 2020	Jennifer Smith	Population stratification and principal components analysis
  July 10, 2020	Jason Boardman	Gene-by-environment interplay (GxE).
  June 12, 2020	Aysu Okbay	Polygenic scores, what they are, how to construct them, etc	An Introduction to Statistical Genetic Data Analysis
  May 8, 2020	Andries Marees	Andries Marees will be leading the discussion of Chapters 1 and 3 of Mills et al. 2020	An Introduction to Statistical Genetic Data Analysis

• Health disparities

  1. Galama, T.J., Lleras-Muney, A. and Van Kippersluis, H. (2020), The Effect of Education on Health and Mortality: A Review of Experimental and Quasi-Experimental Evidence. Oxford Handbook of Health Economics (forthcoming). Link to working paper.
  2. Fonseca, R., Michaud, P., Galama, T.J. and Kapteyn, A. (2021). Accounting for the Rise of Health Spending and Longevity. Journal of the European Economic Association,19(1), pp.536-579.
  3. Van Ourti, T., O’Donnell, O., Koç, H., de Koning, H., and Fracheboud, J. (2019). Effect of screening mammography on breast-cancer mortality: Quasi-experimental evidence from rollout of the Dutch population-based program with 17-year follow-up of a cohort. International Journal of Cancer.​
  4. Koc, H., O'Donnell, O., and Van Ourti, T. (2018). What Explains Education Disparities in Screening Mammography in the United States? A Comparison with The Netherlands. Int. J. Environ. Res. Public Health, 15(9), 1961
  5. Galama, T.J., Lleras-Muney, A. and Van Kippersluis, H. (2018), The Effect of Education on Health and Mortality: A Review of Experimental and Quasi-Experimental Evidence. Oxford Research Encyclopedia of Economics and Finance. Link to working paper.  DOI: 10.1093/acrefore/9780190625979.013.7
  6. Galama, T.J. and van Kippersluis H.  (2018). A Theory of Socioeconomic Disparities in Health Over the Life Cycle. Economic Journal; Link to working paper.
  7. Angrisani, M., Atella, V. and M. Brunetti, M. (2018). Public Health Insurance and Household Portfolio Choices: Unraveling Financial “Side Effects” of Medicare.  Journal of Banking and Finance. Link to working paper.
  8. Koc, H. and Van Kippersluis, H. (2017). Thought for Food: Understanding Education Disparities in Food Consumption. Journal of Human Capital (forthcoming)
  9. Bago d'Uva, T.M, O'Donnell, O.A, and van Doorslaer, E.K.A. (2017). Who can predict their own demise? Heterogeneity in the accuracy and value of longevity expectations. Journal of the Economics of Aging. doi:10.1016/j.jeoa.2017.10.003
  10. Hsieh, C.S. and Van Kippersluis, H. (2017). Smoking Initiation: Peers and Personality. Quantitative Economics, forthcoming  Link to working paper. 
  11. Ravesteijn, B., Van Kippersluis, H., Van Doorslaer, E. (2017). The wear and tear on health: what is the role of occupation? Health Economics (forthcoming) NIHMSID: 900657; Link to working paper
  12. Van Kippersluis, H., and Rietveld, C.A. (2017). Pleiotropy-robust Mendelian Randomization. International Journal of Epidemiology, 1-10;  Link to working paper
  13. Angrisani, M., Hurd, M., Meijer, E., Parker, A. and Rohwedder, S. (2017). Personality and Employment Transitions at Older Ages: Direct and Indirect Effects through Non-Monetary Job Characteristics. Labour (early view). Link to working paper 
  14. Salvy, S.-J., de la Haye, K., Galama, T.J. and Goran, M.I. (2017). Home visitation programs: An untapped opportunity for the delivery of early childhood obesity prevention. Obesity Reviews. 18(2), pp.149-163.
  15. Coveney, M., García Gómez, P., Van Doorslaer, E. and Van Ourti, T. (2016). Health Disparities by Income in Spain Before and After the Economic Crisis. Health Economics, 25(S2), pp.141-158. NIHMSID 821561; Link to working paper. 
  16. Arnold, M., Rentería, E., Conway, D.I., Van Ourti, T., and Soerjomataram, I. (2016). Global inequalities in cancer incidence and mortality in the 21st century. Cancer Causes and Control, 27(8): 999-1007. PMID: 27329211
  17. Bijwaard, G.E. and Van Kippersluis, H. (2016). Efficiency of Health Investment: Education or Intelligence? Health Economics 25(9): 1056-1072 
  18. Aguila, E., Angrisani, M. and Blanco, L. (2016), Ownership of a bank account and health of older Hispanics, Economics Letters, 144, 41–44. PMCID: PMC5034945
  19. O’Donnell, O., O’Neill, S., Van Ourti, T., Walsh, B. (2016). Conindex: Estimation of Concentration Indices. The Stata Journal, 16(1): 112-138. NIHMS ID: NIHMS756115; PMCID: PMC4819995
  20. Croezen, S., Avendano, M., Burdorf, A., Van Lenthe, F. (2015). Social participation and depression in old age: A fixed effects analysis in ten European countries. American Journal of Epidemiology, 182(2): 168-76. PMCID: PMC4493978. PMID 26025236
  21. Noelke, C., Avendano, M. (2015). Who Suffers During Recessions? Economic Downturns, Job Loss, and Cardiovascular Disease in Older Americans. American Journal of Epidemiology, 182(10): 873-82. PMC Journal – In Process. PMID: 26476283
  22. Arroyave, I., Hessel, P., Burdorf, A., Rodriguez-Garcia, J., Cardona, D., Avendano, M. (2015). The public Health Impact of Economic Fluctuations in a Latin American Country: Mortality and the Business Cycle in Colombia in the Period 1980-2010. International Journal for Equity in Health, 14:48. PMCID: PMC4477489. PMID: 26014135.
  23. Avendano, M., Hessel, P. (2015). The income inequality hypothesis rejected? European Journal of Epidemiology, 30(8): 595-598. NIHMS ID: NIHMS723814. PMID: 26377701
  24. Orsini, C., Avendano, M. (2015). Macro-economic conditions and infant health: a changing relationship for black and white infants in the United States. PLoS One. PMCID: PMC4431876. PMID: 25974070
  25. Van Hedel, K., Van Lenthe, F.J., Avendano, M., Bopp, M., Esnaola, S., Kovács, K., Martikainen, P., Regidor, E., Mackenbach, J.P. (2015). Marital status, labour force activity and mortality: a study in the USA and six European countries. Scandinavian Journal of Public Health. 43(5): 469-80. PMCID: PMC4673396. PMID: 25868643
  26. Montez, J.K., Martikainen, P., Remes, H., Avendano, M. (2015). Work-Family Context and the Longevity Disadvantage of US Women. Social Forces. 93, 4: 1567-1597. NIHMS ID: NIHMS755376
  27. Bijwaard, G.E., Van Kippersluis, H., Veenman, J. (2015).  Education and health: The role of cognitive ability. Journal of Health Economics, 42: 29-43. PMCID: PMC4478201. PMID: 25912224. Link to working paper.
  28. Avendano, M., Berkman, L.F., Brugiavini, A., Pasini, G. (2015). The long-run effect of maternity leave benefits on mental health: Evidence from European countries. Social Science and Medicine, 132: 45-53. PMCID: PMC4400242. PMID: 25792339. Link to working paper.
  29. Van Hedel, K., Avendano, M., Berkman, L.F., Bopp, M., Deboosere, P., Lundberg, O., Martikainen, P., Menvielle, G., Van Lenthe, F.J., Mackenbach, J.P. (2015). The contribution of national disparities to international differences in mortality between the United States and 7 European countries. American Journal of Public Health, 105(4): e112-9. PMID: 25713947.
  30. Cylus, J., Glymour, M.M., Avendano, M. (2015). Health effects of unemployment benefit program generosity. American Journal of Public Health, 105(2): 317-23. PMID: 25521897.
  31. De Vries, E., Arroyave, I., Pardo, C., Wiesner, C., Murillo, R., Forman, D., Burdorf, A., Avendano, M. (2015). Trends in inequalities in premature cancer mortality by educational level in Colombia, 1998-2007. Journal of Epidemiology and Community Health, 69(5): 408-15. PMCID: PMC4393795. PMID: 25492898.
  32. Garcia-Gomez, P., Schokkaert, E., Van Ourti, T., Bago d’Uva, T. (2015). Inequity in the Face of Death. Health Economics. 24(10): 1348-1367. NIHMS ID: NIHMS755422. PMID: 25073459.
  33. O’Donnell, O., Van Doorslaer, E., Van Ourti, T. (2015). Health and inequality. In Atkinson A.B., Bourguignon F.J. (eds.), North-Holland Handbook of Income Distribution, Elsevier: 1419-1533. Link to working paper.
  34. Rietveld, C.A., Kippersluis, H. and Thurik, A.R. (2015). Self‐employment and health: Barriers or benefits?. Health Economics, 24(10): 1302-1313. NIHMS ID: NIHMS759755
  35. Van Ourti, T., Erreygers, G., Clarke, P. (2014). Measuring Equality and Equity in Health and Health Care. In Culyer, T. (ed.), Encyclopedia of Health Economics, Vol. 2, Elsevier: 234-239.
  36. Hessel, P., Vandoros, S., Avendano, M. (2014). The differential impact of the financial crisis on health in Ireland and Greece: a quasi-experimental approach. Public Health, 128(10): 911-9. PMCID: PMC4372657. PMID: 25369355.
  37. Lopez-Arana, S., Avendano, M., Van Lenthe, F.J., Burdorf, A. (2014). Trends in overweight among women differ by occupational class: results from 33 low- and middle-income countries in the period 1992-2009.  International Journal of Obesity, 38(1): 97-105. PMCID: PMC3742714. PMID: 23649471.
  38. Van Kippersluis, H., Galama, T.J. (2014). Wealth and Health Behavior: Testing the Concept of a Health Cost. European Economic Review. 72: 197-220. PMCID: PMC4266945. PMID: 25530621. Link to working paper.
  39. Riumallo-Herl, C., Basu, S., Stuckler, D., Courtin, E., Avendano, M. (2014). Job loss, wealth and depression during the Great Recession in the USA and Europe. International Journal of Epidemiology, 43(5): 1508-17. PMCID: PMC4190512. PMID: 24942142.
  40. Cylus, J., Glymour, M.M., Avendano, M. (2014).  Cylus et al. respond to "unrealized benefits?" American Journal of Epidemiology, 180(1): 56-7. PMCID: PMC4133557. PMID: 24939979.
  41. Cylus, J., Glymour, M.M., Avendano, M. (2014). Do generous unemployment benefit programs reduce suicide rates? A state fixed-effect analysis covering 1968-2008. American Journal of Epidemiology, 180(1): 45-52. PMCID: PMC4070935. PMID: 24939978.
  42. Arroyave, I., Burdorf, A., Cardona, D., Avendano, M. (2014). Socioeconomic inequalities in premature mortality in Colombia, 1998-2007: the double burden of non-communicable diseases and injuries. Preventative Medicine, 64: 41-7. PMCID: PMC4067972. PMID: 24674854.
  43. Riumallo-Herl, C.J., Kawachi, I., Avendano, M. (2014). Social capital, mental health and biomarkers in Chile: assessing the effects of social capital in a middle-income country. Social Science and Medicine, 105: 47-58. PMCID: PMC4089037. PMID: 24495808.
  44. Rodríguez López, S., Montero, P., Carmenate, M., Avendano, M. (2014). Functional decline over 2 years in older Spanish adults: evidence from the Survey of Health, Ageing and Retirement in Europe. Geriatrics and Gerontology International, 14(2): 403-12. PMCID: PMC3843990. PMID: 23844926.
  45. Avendano, M., Kawachi, I. (2014). Why do Americans have shorter life expectancy and worse health than do people in other high-income countries? Annual Review of Public Health, 35: 307-25. PMCID: PMC4112220. PMID: 24422560.
  46. Leist, A.K., Hessel, P., Avendano, M. (2014). Do economic recessions during early and mid-adulthood influence cognitive function in older age? Journal of Epidemiology and Community Health, 68(2): 151-8. PMCID: PMC4067969. PMID: 24258197.
  47. Baeten, S., Van Ourti, T., Van Doorslaer, E. (2013). Rising inequalities in income and health in China: who is left behind?  Journal of Health Economics,  32(6): 1214-29. PMCID: PMC3880577. PMID: 24189450.
  48. Baeten, S., Van Ourti, T., Van Doorslaer, E. (2013). The socioeconomic health gradient across the life cycle: what role for selective mortality and institutionalization? Social Science and Medicine,  97: 66-74. PMCID: PMC3831059. PMID: 24161090.
  49. Galama, T.J., Van Kippersluis, H. (2013), Health Inequalities through the Lens of Health Capital Theory: Issues, Solutions, and Future Directions. Research on Economic Inequality, 21: 263-284. PMCID: PMC3932058. PMID: 24570580. Link to working paper.
  50. García-Gómez, P., Van Kippersluis, H., O'Donnell, O., Van Doorslaer, E. (2013). Long Term and Spillover Effects of Health Shocks on Employment and Income. Journal of Human Resources,  48(4): 873-909. PMCID: PMC4110210. PMID: 25067853.
  51. Hessel, P., Avendano, M. (2013). Are economic recessions at the time of leaving school associated with worse physical functioning in later life? Annals of Epidemiology,  23(11): 708-15. PMCID: PMC4372657. PMID: 24051367.
  52. Leist, A.K., Glymour, M.M., Mackenbach, J.P., Van Lenthe, F.J., Avendano, M. (2013).  Time away from work predicts later cognitive function: differences by activity during leave. Annals of Epidemiology, 23(8): 455-62. PMCID: PMC3832060. PMID: 23889855.
  53. Lopez-Arana, S., Burdorf, A., Avendano, M. (2013). Trends in overweight by educational level in 33 low- and middle-income countries: the role of parity, age at first birth and breastfeeding. Obesity Reviews, 14(10): 806-17. PMCID: PMC3804307. PMID: 23782957.
  54. Arroyave, I., Cardona, D., Burdorf, A., Avendano, M. (2013). The impact of increasing health insurance coverage on disparities in mortality: health care reform in Colombia, 1998-2007.  American Journal of Public Health, 103(3): e100-e106. PMCID: PMC3673514. PMID: 23327277.
  55. García-Gómez, P., Schokkaert, E., Van Ourti, T. (2013). Reference value sensitivity of measures of unfair health inequality. Research on Economic Inequality, 1; 21:157-192. PMCID: PMC4062312. PMID: 24954998.
  56. Ravesteijn, B., Van Kippersluis, H., Van Doorslaer, E. (2013). The contribution of occupation to health inequality. Research on Economic Inequality, 1; 21: 311-332. PMCID: PMC4041295. PMID: 24899789.
  57. Galama, T.J., Kapteyn, A., Fonseca, R., Michaud, P.C. (2013). A health production model with endogenous retirement. Health Economics, 22(8): 883-902. PMCID: PMC3498590. PMID: 22888062. Link to working paper.
  58. Galama T.J., Hullegie, P., Meijer, E., Outcault, S. (2012). Is there empirical evidence for decreasing returns to scale in a health capital model? Health Economics, 21(9): 1080-100. PMCID: PMC3412934. PMID: 22628203. Link to working paper.
  59. Bleichrodt, H., Rohde, K.I., Van Ourti, T. (2012). An experimental test of the concentration index. Journal of Health Economics,  31(1): 86-98. NIHMS ID: NIHMS588607. PMID: 22307035.
  60. Erreygers, G., Clarke, P., Van Ourti, T. (2012).  "Mirror, mirror, on the wall, who in this land is fairest of all?"--Distributional sensitivity in the measurement of socioeconomic inequality of health. Journal of Health Economics,  31(1): 257-70. PMCID: PMC3349439. PMID: 22204878. Link to working paper. 
  61. D'Uva, T.B., Lindeboom, M., O'Donnell, O., Van Doorslaer, E. (2011). Slipping Anchor? Testing the Vignettes Approach to Identification and Correction of Reporting Heterogeneity. Journal of Human Resources,  46(4): 875-906. PMCID: PMC3241933. PMID: 22184479. Link to working paper.
  62. Avendano, M., Galama, T.J. (2011). Inequalities in mortality in the U.S. and Denmark: more alike than different. A commentary on Hoffmann. Social Science and Medicine, 73(11): 1569-72.  PMID: 22001228.
  63. D'Uva, T.B., Lindeboom, M., O'Donnell, O., Van Doorslaer, E. (2011). Education-related inequity in healthcare with heterogeneous reporting of health. Journal of the Royal Statistics Society, Series A, 174(3): 639-664. PMCID: PMC3175532. PMID: 21938140. Link to working paper.
  64. Galama, T., Kapteyn, A. (2011). Grossman's missing health threshold. Journal of Health Economics, 30(5): 1044-56. PMCID: PMC3177017. PMID: 21775003. Link to working paper.
  65. Erreygers, G., Van Ourti, T. (2011). Measuring socioeconomic inequality in health, health care and health financing by means of rank-dependent indices: a recipe for good practice. Journal of Health Economics,  30(4): 685-94. PMCID: PMC3158909. PMID: 21683462.
  66. Erreygers, G., Van Ourti, T. (2011). Putting the cart before the horse. A comment on Wagstaff on inequality measurement in the presence of binary variables. Health Economics,  20(10): 1161-5. PMCID: PMC3304083. PMID: 21674679.
  67. Van Kippersluis, H., O'Donnell, O., Van Doorslaer, E. (2009), Long Run Returns to Education: Does Schooling Lead to an Extended Old Age? Journal of Human Resources, 46(4), 695-721. PMCID: PMC3160637. PMID: 21874068. Link to working paper

  WORKING PAPERS / PAPERS SUBMITTED

  1. Galama, T.J., Morgan, R. and Saavedra, J.E. (2017), Wealthier, happier and more self-sufficient: when anti-poverty programs improve economic and subjective wellbeing at a reduced cost to taxpayers. NBER working paper 24090
  2. García-Gómez, P., Galama, T.J., Van Doorslaer, E., and López-Nicolás, A. (2017). Interactions between Financial Incentives and Health in the Early Retirement Decision. CESR Working Paper No. 2017-004
  3. Galama, T.J. and Van Kippersluis, H.  (2015). A Theory of Education and Health. CESR Working Paper #2015-001. R&R Journal of Political Economy
  4. Galama, T.J. (2015). A Contribution to Health-Capital Theory. CESR Working Paper #2015-004.
  5. Angrisani, M., Kapteyn, A. and Meijer, E. (2015). Non-Monetary Job Characteristics and Employment Transitions at Older Ages. MRRC Working Paper, WP 2015-326
  6. Angrisani, M., Hurd, M. and Meijer, E. (2012). Investment Decisions in Retirement: the Role of Subjective Expectations. MRRC Working Paper, WP 2012-274 

• GxE in late-life cognition

  IDENTIFYING MODIFIABLE ASPECTS OF GENE-BY-ENVIRONMENT INTERPLAY IN LATER-LIFE COGNITIVE DECLINE

  OUR RESEARCH IN THE NEWS

  Kevin Thom's research discussed in The Washington Post here

  PAPERS PUBLISHED

  1. Barcellos, S., Carvalho, L. and Turley, P. (2021). Distributional Effects of Education on Health (2021), Forthcoming at the Journal of Human Resources. NBER Working Paper No. w25898.
  2. Faul, J.D., Ware, E.B., Kabeto, M.U., Langa, K.M. (2021), The effect of childhood socioeconomic position and social mobility on cognitive function and change among older adults: A comparison between the United States and England, Journal of Gerontology, Series B, 76, pS51-S63.
  3. Marees, A.T., Smit, D.J.A., Abdellaoui, A., Nivard, M.G., van den Brink, W., Denys, D., Galama, T.J., Verweij, K.J.H., Derks, E.M. (2021), Genetic correlates of socio-economic status influence the pattern of shared heritability across mental health traits, Nature Human Behavior, pp.1-9.
  4. Fonseca, R., Michaud, P., Galama, T.J. and Kapteyn, A. (2021). Accounting for the Rise of Health Spending and Longevity. Journal of the European Economic Association,19(1), pp.536-579.
  5. Barth, D., Papageorge, N. and Thom, K. (2020), Genetic Endowments and Wealth Inequality, Journal of Political Economy. doi: 10.1086/705415
  6. Papageorge, N. and Thom, K. (2019), Genes, Education, and Labor Market Outcomes: Evidence from the Health and Retirement Study, Journal of the European Economic Association. 
  7. Lourida, I., Hannon, E., Littlejohns, T.J., Langa, K.M., Hyppönen, E., Kuźma, E., and Llewellyn, D.J. (2019), Association of Lifestyle and Genetic Risk With Incidence of Dementia, Journal of the American Medical Association (JAMA), 322(5):430-437. doi:10.1001/jama.2019.9879
  8. Taylor, J.Y., Ware, E.B., Wright, M.L., Smith, J.A., Kardia, S.L.R. (2019), Using Genetic Burden Scores for Gene-by-Methylation Interaction Analysis on Metabolic Syndrome in African Americans. Biological Research for Nursing, 21(3): 279-285. doi: 10.1177/1099800419828486. Epub 2019 Feb 19. PubMed PMID: 30781968. ​
  9. Schmitz, L.L., Gard, A.M., Ware, E.B. (2019), Examining sex differences in pleiotropic effects for depression and smoking using polygenic and gene-region aggregation techniques. American Journal of Medical Genetics, part B, Neuropsychiatric Genetics. doi: 10.1002/ajmg.b.32748. [Epub ahead of print] PubMed PMID: 31219244; NIHMSID:NIHMS1042483.  
  10. Barcellos, S.H., Carvalho, S., Turley, P. (2018), Education can Reduce Health Differences Related to Genetic Risk of Obesity, Proceedings of the National Academy of Sciences (PNAS) of the United States  
  11. Smith, J.A., Kho, M., Zhao, W., Yu, M., Mitchell, C., Faul, J.D. (2018), Genetic effects and gene-by-education interactions on episodic memory performance and decline in an aging population. Social science & medicine (1982). 2018 November 10. PubMed PMID: 30449520; PubMed Central PMCID: PMC6510651; DOI: 10.1016/j.socscimed.2018.11.019.​
  12. Galama, T.J., Lleras-Muney, A. and Van Kippersluis, H. (2018), The Effect of Education on Health and Mortality: A Review of Experimental and Quasi-Experimental Evidence. Oxford Research Encyclopedia of Economics and Finance. Link to working paper. doi:10.1093/acrefore/9780190625979.013.7
  13. Galama, T.J. and van Kippersluis H.  (2018). A Theory of Socioeconomic Disparities in Health Over the Life Cycle. Economic Journal; Link to working paper.
  14. Kuźma, E., Hannon, E., Zhou, A., Lourida, I., Bethel, A., Levine, D.A., Lunnon, K., Thompson-Coon, J., Hyppönen, E., and Llewellyn, D.(2018), Which risk factors causally influence dementia? A systematic review of Mendelian randomization studies, Journal of Alzheimer’s Disease, 64, pp. 181–193
  15. Kuźma, E., Lourida, A., Moore, S.F., Levine, D.A., Obioha C. Ukoumunne, O.C., Llewellyn, D.J. (2018). Stroke and dementia risk: A systematic review and meta-analysis. Alzheimers & Dementia, 1-11

  WORKING PAPERS / PAPERS SUBMITTED

  1. Bakulski, K.M., Vadari, H.S., Faul, J.D., Heeringa, S.G., Kardia, S.L.R., Langa, K.M., Smith, J.A., Manly, J.J., Mitchell, C.M., Benke, K.S., Ware, E.B. (2020). A non-APOE polygenic score for Alzheimer's disease and APOE-ε4 have independent associations with dementia in the Health and Retirement Study (medRxiv). 2020.02.10.20021667; doi: https://doi.org/10.1101/2020.02.10.20021667 (R&R Neurology). Link to working paper. 
  2. Dias-Pereira, R., Biroli, P., Galama, T.J., von Hinke, S., van Kippersluis, H., Rietveld, C.A., and Thom, K. (2021), Gene-by-Environment Interplay. Forthcoming in Oxford Research Encyclopedia of Economics and Finance. 
  3. Barcellos, S., Carvalho, L. and Turley, P. (2021). The Effect of Education on the Relationship between Genetics, Early-Life Disadvantages, and Later-Life SES (under revision at the Journal of Political Economy). NBER Working Paper No. w28750
  4. Van Kippersluis, H., Biroli, P., Galama, T.J., Von Hinke, S., Meddens, F.W., Muslimova, D., Pereira, R., and Rietveld, C.A. (2021), Stop Meta-Analyzing, Start Instrumenting: Maximizing the Predictive Power of Polygenic Scores. Under review Nature Communications. Link to working paper (doi: https://doi.org/10.1101/2021.04.09.439157)
  5. Fu, M., Ware, E.B., Faul, J.D., Bakulski, K.M. (2020), Mendelian randomization of smoking behavior on cognitive status among older Americans. (medRxiv) 2019.12.11.19014522; doi: https://doi.org/10.1101/2019.12.11.19014522. Link to working paper.
  6. Ware, E.B., Faul, J.D., Mitchell, C.M., and Bakulski, K.M. (2019), Considering the APOE locus in polygenic scores for Alzheimer's disease, MedRXiv. Link to working paper. (R&R BMC Genomic Medicine)
  7. Bierut, L., Biroli, P., Galama, T.J., and Thom, K. (2018). Childhood socioeconomic status moderates genetic predisposition for peak smoking. Link to working paper.
  8. Ware, E.B., Schmitz, L.L., Faul, J.D., Gard, A., Mitchell, C., Smith, J.A., Zhao, W., Weir, D., Kardia, S.L.R. (2019), Heterogeneity in polygenic scores for common human traits. In review.
  9. Barth, D., Papageorge, N.W., and Thom, K. (2021), Genetic endowments, income dynamics, and wealth accumulation over the lifecycle. In preparation. 
  10. Jeong, Y., Papageorge, N.W., Skira, M.M. and Thom, K. (2021), Genetic endowments, Alzheimer's disease, and economic outcomes. In preparation.
  11. Van Alten, S., Galama, T.J. and Thom, K. (2021), The distributional consequences of region-specific exposure to Chinese import competition: evidence from a shift-share analysis (1990-2010). In preparation.
  12. Warly Solsberg, C., van Alten, S., Geier, E.G., Bonham, L., Derks, E.M., Sirota, M., Galama, T.J., Yokoyama, J.S., Marees, A.T. (2021), Conducting a genome wide association study: a roadmap and tutorial. In preparation.
  13. Faul, J.D., Ware, E.B., Kabeto, M.U., Langa, K.M., Llewellyn, D.J., Galama, T. (2021), Lifestyle and Genetic Risk: Revisiting the Association with Incident Dementia. In preparation.
  14. Angrisani, Faul, J., Galama, T. and Kabeto, M. (2021), Money Management Problems as a Precursor of Cognitive Impairment and Dementia. In preparation
  15. Biroli, P., Galama, T.J., Marees, A., et al. (2021), Sources of Inequality at Birth:  the Interplay Between Genes and Parental Socioeconomic Status. In preparation
  16. Biroli, P., Galama, T.J., von Hinke, S., van Kippersluis, H., Rietveld, C.A., and Thom, K. (2021), The Economics and Econometrics of Gene-Environment Interplay. In preparation.
  17. Van Alten, S., Domingue, B.W., Galama, T.J. and Marees, A.T. (2021), The effects of demographic-based selection bias on GWAS results in the UK Biobank. In preparation.
  18. Bakulski, K.M., Petrowicz, B., Vadari, H., Faul, J.D., Manly, J., Kardia, S.K., Heeringa, S., Ware, E.B. (2019), Early life exposures and risk for dementia in the Health and Retirement Study. In preparation​
  19. Faul, J.D., Benke, K., Bakulski, K.M., Ware, E.B. (2019), Within and Trans-Racial PGS and Gene-Region Associations. In preparation.
  20. Brandt, D., Bakulski, K.M., Faul, J.D., Vadari, H.S., Ware, E.B. (2019) Occupational mental and physical work demands associated with cognitive status in older Americans. In preparation.
  21. Marshall III, W., Ware, E.B., Faul, J.D., Vadari, H.S., Bakulski, K.M. (2019), Family history of Alzheimer’s Disease and cumulative genetic risk in older Americans. In preparation.

• Human capital and health

  HUMAN CAPITAL, HEALTH AND LONGEVITY: EXPLAINING THE HEALTH GRADIENT

  1. Galama, T.J., Lleras-Muney, A. and Van Kippersluis, H. (2020), The Effect of Education on Health and Mortality: A Review of Experimental and Quasi-Experimental Evidence. Oxford Handbook of Health Economics (forthcoming). Link to working paper.
  2. Fonseca, R., Michaud, P., Galama, T.J. and Kapteyn, A. (2021). Accounting for the Rise of Health Spending and Longevity. Journal of the European Economic Association,19(1), pp.536-579.
  3. Galama, T.J., Lleras-Muney, A. and Van Kippersluis, H. (2018), The Effect of Education on Health and Mortality: A Review of Experimental and Quasi-Experimental Evidence. Oxford Research Encyclopedia of Economics and Finance. Link to working paper.  DOI: 10.1093/acrefore/9780190625979.013.7
  4. Galama, T.J. and van Kippersluis H.  (2018). A Theory of Socioeconomic Disparities in Health Over the Life Cycle. Economic Journal; Link to working paper.
  5. Salvy, S.-J., de la Haye, K., Galama, T.J. and Goran, M.I. (2017). Home visitation programs: An untapped opportunity for the delivery of early childhood obesity prevention. Obesity Reviews. 18(2), pp.149-163.
  6. Van Kippersluis, H., Galama, T.J. (2014). Wealth and Health Behavior: Testing the Concept of a Health Cost. European Economic Review. 72:197-220. PMID: 25530621. Link to working paper.
  7. Galama, T.J., Van Kippersluis, H. (2013), Health Inequalities through the Lens of Health Capital Theory: Issues, Solutions, and Future Directions. Research on Economic Inequality, 21: 263-284.  PMID: 24570580. Link to working paper.

  WORKING PAPERS

  1. Galama, T.J., Morgan, R. and Saavedra, J.E. (2017), Wealthier, happier and more self-sufficient: when anti-poverty programs improve economic and subjective wellbeing at a reduced cost to taxpayers. NBER working paper 24090
  2. García-Gómez, P., Galama, T.J., Van Doorslaer, E., and López-Nicolás, A. (2017). Interactions between Financial Incentives and Health in the Early Retirement Decision. CESR Working Paper No. 2017-004
  3. Galama , T.J. and Van Kippersluis, H.  (2015), A Theory of Education and Health. CESR Working Paper #2015-001.
  4. Galama, T.J. (2015), A Contribution to Health-Capital Theory. CESR Working Paper #2015-004.

• Vidi Grant

  IDENTIFYING CRITICAL STAGES OF LIFE AND MODIFIABLE ASPECTS OF ENVIRONMENT MODERATING GENETIC RISK FOR UNHEALTHY BEHAVIORS

  NETHERLANDS ORGANIZATION FOR SCIENTIFIC RESEARCH (NWO)

  PAPERS PUBLISHED

  1. Fonseca, R., Michaud, P., Galama, T.J. and Kapteyn, A. (2021). Accounting for the Rise of Health Spending and Longevity. Journal of the European Economic Association,19(1), pp.536-579.
  2. Marees, A.T., Smit, D.J.A., Abdellaoui, A., Nivard, M.G., van den Brink, W., Denys, D., Galama, T.J., Verweij, K.J.H., Derks, E.M. (2021), Genetic correlates of socio-economic status influence the pattern of shared heritability across mental health traits, Nature Human Behavior, pp.1-9.
  3. Marees, A.T., Gamazon, E.R., Gerring, Z., Vorspan, F.. Fingal, J., van den Brink, W. Smit, D.J.A, Verweij, K.J.H., Kranzler, H.R., Sherva, R., Farrer, L., International Cannabis Consortium, Gelernter, J., Derks, E.M. (2020). Post-GWAS analysis of six substance use traits improves the identification and functional interpretation of genetic risk loci, Drug and Alcohol Dependence, 206, p.107703.
  4. Clergue-Duval, V.,  Nicolas-Sacy, L., Karsinti, E., Zerdazi, E.-H., Laplanche, J.-L.., Brousse, G., Marees, A.T., Derks, E.M., Henry, P., Bellivier, F., Vorspan, F., Bloch, V. (2021), Risk and protective factors of lifetime cocaine-associated chest pain. Frontiers in psychiatry, 12 (do: https://doi.org/10.3389/fpsyt.2021.704276)

  WORKING PAPERS / PAPERS SUBMITTED

  1. Van Alten, S. (2021), Genetic and environmental determinants of socioeconomic status in the Lifelines cohort, and their subsequent effects on health outcomes. In preparation.
  2. Van Alten, S., Galama, T.J. and Thom, K. (2021), The distributional consequences of region-specific exposure to Chinese import competition: evidence from a shift-share analysis (1990-2010). In preparation.
  3. Angrisani, Faul, J., Galama, T. and Kabeto, M. (2021), Money Management Problems as a Precursor of Cognitive Impairment and Dementia. In preparation
  4. Biroli, P., Galama, T.J., Marees, A., et al. (2021), Sources of Inequality at Birth:  the Interplay Between Genes and Parental Socioeconomic Status. In preparation
  5. Biroli, P., Galama, T.J., von Hinke, S., van Kippersluis, H., Rietveld, C.A., and Thom, K. (2021), The Economics and Econometrics of Gene-Environment Interplay. In preparation.
  6. Van Alten, S., Domingue, B.W., Galama, T.J. and Marees, A.T. (2021), The effects of demographic-based selection bias on GWAS results in the UK Biobank. In preparation.
  7. Dias-Pereira, R., Biroli, P., Galama, T.J., von Hinke, S., van Kippersluis, H., Rietveld, C.A., and Thom, K. (2021), Gene-by-Environment Interplay. Forthcoming in Oxford Research Encyclopedia of Economics and Finance.
  8. Warly Solsberg, C., van Alten, S., Geier, E.G., Bonham, L., Derks, E.M., Sirota, M., Galama, T.J., Yokoyama, J.S., Marees, A.T. (2021), Conducting a genome wide association study: a roadmap and tutorial. In preparation.
  9. Van Kippersluis, H., Biroli, P., Galama, T.J., Von Hinke, S., Meddens, F.W., Muslimova, D., Pereira, R., and Rietveld, C.A. (2021), Stop Meta-Analyzing, Start Instrumenting: Maximizing the Predictive Power of Polygenic Scores. Link to working paper (doi: https://doi.org/10.1101/2021.04.09.439157)
  10. van de Kraats, C., Galama, T.J. and Lindeboom, M. (2020). Unpacking the U-shape in mental well-being: the role of unemployment and disability
  11. van de Kraats, C., Galama, T.J. and Lindeboom, M. (2020). The social norm of work and the U-shape in mental health.
  12. Clergue-Duval, V., Nicolas-Sacy, L., Karsinti, E., Zerdazi, E., Laplanche, J-L.,Brousse, G., Marees, A.T., Derks, E.M., Henry, P., Bellivier, F., Vorspan, F., Bloch, V. (2020). Cocaine associated chest pain episodes are related to the intensity of cocaine use rather than to the genetic factors.
  13. García-Gómez, P., Galama, T.J., Van Doorslaer, E., and López-Nicolás, A. (2021). Interactions between Financial Incentives and Health in the Early Retirement Decision. CESR Working Paper No. 2017-004
  14. Galama , T.J. and Van Kippersluis, H.  (2021), A Theory of Education and Health. CESR Working Paper #2015-001.
  15. Galama, T.J. (2021), A Contribution to Health-Capital Theory. CESR Working Paper #2015-004.

• GxE in health behavior

  IDENTIFYING GENE-BY-ENVIRONMENT INTERPLAY IN HEALTH BEHAVIOR

  1. Marees, A.T., Smit, D.J.A., Abdellaoui, A., Nivard, M.G., van den Brink, W., Denys, D., Galama, T.J., Verweij, K.J.H., Derks, E.M. (2021), Genetic correlates of socio-economic status influence the pattern of shared heritability across mental health traits, Nature Human Behavior, pp.1-9.
  2. Fonseca, R., Michaud, P., Galama, T.J. and Kapteyn, A. (2021). Accounting for the Rise of Health Spending and Longevity. Journal of the European Economic Association,19(1), pp.536-579.
  3. Becker, J. et al (2021), Resource profile and user guide of the Polygenic Index Repository. Nature Human Behaviour, pp.1-15.

  WORKING PAPERS

  1. Birol, P. and Zund, C.L. (2021), Genes, Pubs, and Drinks: Gene-environment interplay and alcohol licensing policy in the United Kingdom. Working Paper.
  2. Van Alten, S., Galama, T.J. and Thom, K. (2021), The distributional consequences of region-specific exposure to Chinese import competition: evidence from a shift-share analysis (1990-2010). In preparation.
  3. Barth, D., Papageorge, N.W., and Thom, K. (2021), Genetic endowments, income dynamics, and wealth accumulation over the lifecycle. In preparation. 
  4. Jeong, Y., Papageorge, N.W., Skira, M.M. and Thom, K. (2021), Genetic endowments, Alzheimer's disease, and economic outcomes. In preparation.
  5. Warly Solsberg, C., van Alten, S., Geier, E.G., Bonham, L., Derks, E.M., Sirota, M., Galama, T.J., Yokoyama, J.S., Marees, A.T. (2021), Conducting a genome wide association study: a roadmap and tutorial. In preparation.
  6. Barcellos, S., Carvalho, L. and Turley, P. (2019). Distributional Effects of Education on Health (2021), Forthcoming at the Journal of Human Resources. NBER Working Paper No. w25898.
  7. Barcellos, S., Carvalho, L. and Turley, P. (2021). The Effect of Education on the Relationship between Genetics, Early-Life Disadvantages, and Later-Life SES (under revision at the Journal of Political Economy). NBER Working Paper No. w28750
  8. Van Kippersluis, H., Biroli, P., Galama, T.J., Von Hinke, S., Meddens, F.W., Muslimova, D., Pereira, R., and Rietveld, C.A. (2021), Stop Meta-Analyzing, Start Instrumenting: Maximizing the Predictive Power of Polygenic Scores. Link to working paper (doi: https://doi.org/10.1101/2021.04.09.439157)
  9. Dias Pereira, R., Rietveld, C.A., and Van Kippersluis, H. (2020), The Interplay between Maternal Smoking and Genes in Offspring Birth Weight. medRxiv preprint doi: https://doi.org/10.1101/2020.10.30.20222844 
  10. Angrisani, Faul, J., Galama, T. and Kabeto, M. (2021), Money Management Problems as a Precursor of Cognitive Impairment and Dementia. In preparation
  11. Biroli, P., Galama, T.J., Marees, A., et al. (2021), Sources of Inequality at Birth:  the Interplay Between Genes and Parental Socioeconomic Status. In preparation
  12. Biroli, P., Galama, T.J., von Hinke, S., van Kippersluis, H., Rietveld, C.A., and Thom, K. (2021), The Economics and Econometrics of Gene-Environment Interplay. In preparation.
  13. Van Alten, S., Domingue, B.W., Galama, T.J. and Marees, A.T. (2021), The effects of demographic-based selection bias on GWAS results in the UK Biobank. In preparation.
  14. Dias-Pereira, R., Biroli, P., Galama, T.J., von Hinke, S., van Kippersluis, H., Rietveld, C.A., and Thom, K. (2021), Gene-by-Environment Interplay. Forthcoming in Oxford Research Encyclopedia of Economics and Finance.