• Luy M., Di Giulio P., Di Lego V., Patrick Lazarevič & Sauerberg M. (2020). Life expectancy: frequently used, but hardly understood. Gerontology, 66, 95-104. https://doi.org/10.1159/000500955
  • Hoffmann R. & Muttarak R. (2020). Greening through schooling: understanding the link between education and pro-environmental behavior in the Philippines. Environmental Research Letters, 15, 014009. https://doi.org/10.1088/1748-9326/ab5ea0
  • Kohlenberger J., Buber-Ennser I., Rengs B. & Hosner R. (2020). Surveying Syrians in diaspora: Methodological aspects for planning and implementing longitudinal studies. InE. D. Carlson & Williams, N. E. (Eds.), Comparative demography of the Syrian diaspora: European and Middle Eastern destinations (pp. 29-54). https://doi.org/10.1007/978-3-030-24451-4_3
  • Buber-Ennser I., Rengs B., Kohlenberger J. & Zeman K. (2020). Demographic profile of Syrians in Austria(E. D. Carlson & Williams, N. E., Eds.). https://doi.org/10.1007/978-3-030-24451-4_7
  • Rengs B., Scholz-Wäckerle M. & van den Bergh J. (2020). Evolutionary macroeconomic assessment of employment and innovation impacts of climate policy packages. Journal Of Economic Behavior And Organization, 169, 332-368. https://doi.org/10.1016/j.jebo.2019.11.025
  • Thomson E., Winkler-Dworak M. & Beaujouan E. (2019). Contribution of the rise in cohabiting parenthood to family instability: Cohort change in Italy, Great Britain, and Scandinavia. Demography, 56, 2063–2082. https://doi.org/10.1007/s13524-019-00823-0
  • Gendronneau C., Wisniowski A., Yildiz D., Zagheni E., Fiorio L., Hsiao Y., et al. (2019). Measuring Labour Mobility and Migration Using Big Data: Exploring the Potential of Social-Media Data for Measuring EU Mobility Flows and Stocks of EU Movers. https://doi.org/10.2767/474282
  • Wrzaczek S., Kuhn M. & Frankovic I. (2019). Using Age Structure for a Multi-stage Optimal Control Model with Random Switching Time. Journal Of Optimization Theory And Applications, online first, 1-18. https://doi.org/10.1007/s10957-019-01598-5
  • Kaschowitz J. & Lazarevič P. (2019). Bedeutung des Gesundheitsindikators bei der Analyse der Gesundheitsfolgen informeller Pflege: Anderer Indikator, anderes Ergebnis?. Zeitschrift Für Gerontologie Und Geriatrie, 2019, nA.
  • Sánchez-Romero M., Abío G., Botey M., Prskawetz A., Sambt J., Solé Juvés M., et al. (2019). Welfare state winners and losers in ageing societies. Vienna Yearbook Of Population Research 2019, 17, 9-36.
  • Stuart Gietel-Basten & Sergei Scherbov. (2019). Is half the world’s population really below ‘replacement-rate’?. Plos One, 14, e0224985. https://doi.org/10.1371/journal.pone.0224985.
  • Grames J., Grass D., Kort P. M. & Prskawetz A. (2019). Optimal investment and location decisions of a firm in a flood risk area using impulse control theory. Central European Journal Of Operations Research, 27, 1051–1077. https://doi.org/10.1007/s10100-018-0532-0
  • Istenic T., Hammer B. & Prskawetz A. (2019). European National (Time) Transfer Accounts. Vienna Yearbook Of Population Research 2019, 17, 201–221.
  • Skritek B., Crespo Cuaresma J., Kryazhimskii A., Prettner K., Prskawetz A. & Rovenskaya E. (2019). Optimal Life-Cycle Education Decisions of Atomistic Indiviuals. InA. Bucchi, Prettner, K., & Prskawetz, A. (Eds.), Human Capital and Economic Growth (pp. 27-54). Retrieveddehttps://link.springer.com/chapter/10.1007%2F978-3-030-21599-6_2
  • Chen S., Kuhn M., Prettner K. & Bloom D. E. (2019). Noncommunicable Diseases Attributable To Tobacco Use In China: Macroeconomic Burden And Tobacco Control Policies. Health Affairs, 38, 1832-1839. https://doi.org/10.1377/hlthaff.2019.00291
  • Striessnig E., Gao J., O'Neill B. C. & Jiang L. (2019). Empirically based spatial projections of US population age structure consistent with the shared socioeconomic pathways. Environmental Research Letters, 14, ARTN 114038. https://doi.org/10.1088/1748-9326/ab4a3a
  • Murphy M., Luy M. & Torrisi O. (2019). Stalling of mortality in the United Kingdom and Europe: an analytical review of the evidence(pp. 251-273; H. Ehlers, Kahlert, H., Linke, G., Raffel, D., Rudlof, B., & Trappe, H., Eds.). LIT-Verlag, Berlin.
  • Sobotka T., Matysiak A. & Brzozowska Z. (2019). Policy responses to low fertility: How effective are they?.
  • Gietel-Basten S. & Scherbov S. (2019). Exploring the ‘True Value’ of Replacement Rate Fertility. Population Research And Policy Review, e0224985, 1–10. https://doi.org/10.1007/s11113-019-09561-y
  • Di Lego V., Patrick Lazarevič & Luy M. (2019). The Male-Female Health-Mortality Paradox. InD. Gu & Dupre, M. E. (Eds.), Encyclopedia of Gerontology and Population Aging. https://doi.org/10.1007/978-3-319-69892-2_798-2
  • Yugbaré Belemsaga D., Goujon A., Degomme O., Nassa T., Duysburgh E., Kouanda S. & Temmerman M. (2019). Assessing changes in costs of maternal postpartum services between 2013 and 2014 in Burkina Faso. International Journal For Equity In Health, 18, Article number: 154. https://doi.org/10.1186/s12939-019-1064-5
  • Beaujouan E., Reimondos A., Gray E., Evans A. & Sobotka T. (2019). Declining realisation of reproductive intentions with age. Human Reproduction, 34, 1906-1914. https://doi.org/10.1093/humrep/dez150
  • Bloom D. E., Chen S., Kuhn M. & Prettner K. (2019). The flip side of "live long and prosper": Noncommunicable diseases in the OECD and their macroeconomic impact. InHealth Aff. (Vol. 38, pp. 44-52). Retrieveddehttps://voxeu.org/content/live-long-and-prosper-economics-ageing-populations
  • Spitzer S. & Weber D. (2019). Reporting biases in self-assessed physical and cognitive health status of older Europeans. Plos One, 14, e0223526.
  • Messerli P., Kim E. M., Lutz W., Moatti J. -P., Richardson K., Saidam M., et al. (2019). Expansion of sustainability science needed for the SDGs. https://doi.org/10.1038/s41893-019-0394-z
  • Lankisch C., Prettner K. & Prskawetz A. (2019). How can robots affect wage inequality?. Economic Modelling, 81, 161-169. https://doi.org/10.1016/j.econmod.2018.12.015
  • Chen S., Kuhn M., Prettner K. & Bloom D. E. (2019). The global macroeconomic burden of road injuries: estimates and projections for 166 countries. Lancet Planetary Health, 3, e390-398. https://doi.org/10.1016/S2542-5196(19)30170-6
  • Tymicki K., Zeman K. & Holzer-Żelażewska D. (2019). Cohort fertility of Polish women, 1945–2015: the context of postponment and recuperation. Studia Demograficzne, 174, 19. Retrieveddehttp://journals.pan.pl/sd/
  • Bora J. K., Raushan R. & Lutz W. (2019). The persistent influence of caste on under-five mortality: Factors that explain the caste-based gap in high focus Indian states. Plos One, 14, e0211086. https://doi.org/10.1371/journal.pone.0211086
  • Beaujouan E. & Berghammer C. (2019). The Gap Between Lifetime Fertility Intentions and Completed Fertility in Europe and the United States: A Cohort Approach. Popul. Res. Policy Rev., 38, 507-535. https://doi.org/10.1007/s11113-019-09516-3