Research Article
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Year 2024, Volume: 51 Issue: 1, 127 - 144, 28.06.2024

Abstract

References

  • ACEMOGLU, D., and JOHNSON, S. (2007), “Disease and development: The effect of life expectancy on economic Growth”, The Journal of Political Economy, 115(6), 925–985. https://doi.org/10.1086/529000
  • ACKERT, L.F., DEAVES, R., MIELE, J., and NGUYEN, Q. (2020), “Are time preference and risk preference associated with cognitive intelligence and emotional intelligence?”, Journal of Behavioral Finance, 21 (2), 136–156. https://doi.org/10.1080/15427560.2019.1663850
  • ARELLANO, M., and BOND, S. (1991), “Some tests of specification for panel data: Monte carlo evidence and an application to employment equations”, The Review of Economic Studies, 58(2), 277. https://doi.org/10.2307/2297968
  • ASIAN DEVELOPMENT BANK. (1987), Annual report 1986, The Asian Development Bank. https://www.adb.org/sites/default/files/institutional-document/32153/adb-ar-1986.pdf
  • ASIAN DEVELOPMENT BANK. (1992), Annual report 1991, The Asian Development Bank. https://www.adb.org/sites/default/files/institutional-document/32144/adb-ar-1991.pdf
  • ASIAN DEVELOPMENT BANK. (1997), Annual report 1996, The Asian Development Bank. https://www.adb.org/sites/default/files/institutional-document/32136/adb-ar-1996.pdf
  • ASIAN DEVELOPMENT BANK. (2017), Key indicators for Asia and the Pacific 2017 (48th Ed.). The Asian Development Bank. http://dx.doi.org/10.22617/FLS178890-2
  • AZOMAHOU, T. T., BOUCEKKINE, R., and DIENE, B. (2009), “A closer look at the relationship between life expectancy and economic growth”, International Journal of Economic Theory, 5(2), 201–244. https://doi.org/10.1111/j.1742-7363.2009.00105.x
  • BARLOW, P., REEVES, A., MCKEE, M., GALEA, G., and STUCKLER, D. (2016), “Unhealthy diets, obesity, and time discounting: A systematic literature review and network analysis”, Obesity Reviews, 17, 810–819. https://doi.org/10.1111/obr.12431
  • BAYER, Y. M., and OSHER, Y. (2018), “Time preference, executive functions, and ego-depletion: An exploratory study”, Journal of Neuroscience, Psychology, and Economics, 11(3), 127–134. https://doi.org/10.1037/npe0000092
  • BAUM, C. F., SCHAFFER, M. E., and STILLMAN, S. (2007), “Enhanced routines for instrumental variables/GMM estimation and testing”, The Stata Journal, 7(4), 465–506. https://doi.org/10.1177/1536867X0800700402
  • BOLT, J., and VAN ZANDEN, J. L. (2014), “The maddison project: Collaborative research on historical national accounts (Maddison project database, Version 2013) [Data set]”, The Economic History Review, 67(3), 627–651. https://doi.org/10.1111/1468-0289.12032
  • BROWN, H., and BIOSCA, O. (2016), “Exploring the relationship between time preference, body fatness, and educational attainment”, Social Science and Medicine, 158, 75–85. https://doi.org/10.1016/j.socscimed.2016.04.016
  • CAVALIERE, A., MARCHI, E. D., and BANTERLE, A. (2014), “Healthy–unhealthy weight and time preference. Is there an association? An analysis through a consumer survey”, Appetite, 83, 135–143. https://doi.org/10.1016/j.appet.2014.08.011
  • CERVELLATI, M., and SUNDE, U. (2009), Life expectancy and economic growth: The role of the demographic transition (IZA Discussion Papers, No. 4160). Institute of Labor Economics (IZA). http://ftp.iza.org/dp4160.pdf
  • CERVELLATI, M., and SUNDE, U. (2011), “Life expectancy and economic growth: the role of the demographic transition”, Journal of Economic Growth, 16(2), 99–133. https://doi.org/10.1007/s10887-011-9065-2
  • DAHL, A.K., HASSING, L. B., FRANSSON, E., BERG, S., GATZ, M. REYNOLDS, C.A., and
  • PEDERSEN, N. L. (2010), “Being overweight in midlife is associated with lower cognitive ability and steeper cognitive decline in late life”, The Journal of Gerontology, Series A: Biological Sciences and Medical Sciences, 65A (1), 57–62. https://doi.org/10.1093/gerona/glp035
  • DAHL, A. K., and HASSING, L. B. (2013), “Obesity and cognitive aging”, Epidemiologic Reviews, 35(1), 22–32. https://doi.org/10.1093/epirev/mxs002
  • DASGUPTA, P. (1997), “Nutritional status, the capacity for work, and poverty traps”, Journal of Econometrics 77(1), 5–37. https://doi.org/10.1016/S0304-4076(96)01804-0 DAVIS, J. B. (2003), The Theory of the Individual in Economics. Routledge.
  • DESBORDES, R. (2011), “The non-linear effects of life expectancy on economic growth”, Economics Letters, 112(1), 116–118. https://doi.org/10.1016/j.econlet.2011.03.027
  • DOHMEN, T., FALK, A., HUFFMAN, D., and SUNDE, U. (2010), “Are risk aversion and impatience related to cognitive ability?”, The American Economic Review, 100(3), 1238–1260. https://www.jstor.org/stable/27871246
  • DOU, J., DU, L., WANG, K., SUN, H., and ZHANG, C. (2020), “Wage penalties or wage premiums? A socioeconomic analysis of gender disparity in obesity in Urban China”, International Journal of Environmental Research and Public Health, 17(19), 7004. https://doi.org/10.3390/ijerph17197004
  • FEENSTRA, R. C., INKLAAR, R., and TIMMER, M. P. (2015), “The next generation of the Penn World table [Data set]”, American Economic Review, 105(10), 3150–3182. http://dx.doi.org/10.1257/aer.20130954
  • GÓMEZ-PINILLA, F. (2008), “Brain foods: The effects of nutrients on brain function”, Nature Reviews Neurosciences, 9, 568–578. https://doi.org/10.1038/nrn2421
  • GREGORY, C. A., and RUHM, C. J. (2009), Where does the wage penalty bite? (NBER Working Paper 14984). National Bureau of Economic Research. https://www.nber.org/system/files/chapters/c11824/revisions/c11824.rev0.pdf
  • HANSEN, C. W. (2012), “The relation between wealth and health: Evidence from a world panel of countries”, Economics Letters, 115(2), 175–176. https://doi.org/10.1016/j.econlet.2011.12.031
  • HUSAIN, Z., DUTTA, M., and CHOWDHARY, N. (2014), “Is health wealth? Results of a panel data analysis”, Social Indicators Research, 117, 121–143. https://doi.org/10.1007/s11205-0130337-4
  • JARRETT, B. A., BLOCH, G. J., BENNETT, D., BLEAZARD, B., and HEDGES, D. W. (2010), “The influence of body mass index, age and gender on current illness: a cross-sectional study”, International Journal of Obesity, 34(3), 429–436. https://doi.org/10.1038/ijo.2009.258
  • KANG, M.I., and IKEDA, S. (2016), “Time discounting, present biases, and health-related behaviors: Evidence from Japan”, Economics and Human Biology, 21, 122–136. https://doi.org/10.1016/j.ehb.2015.09.005
  • KEDIR, A. M. (2009), “Health and productivity: Panel data evidence from Ethiopia”, African Development Review, 21(1), 59–72. https://doi.org/10.1111/j.1467-8268.2009.00203.x
  • KROPFHÄUßER, F., and SUNDER, M. (2015), “A weighty issue revisited: The dynamic effect of body weight on earnings and satisfaction in Germany”, Applied Economics, 47(41), 4364– 4376. https://doi.org/10.1080/00036846.2015.1030563
  • LEE, J.-W., and LEE, H. (2016), “Human capital in the long run [Data set]”, Journal of Development Economics, 122, 147–169. https://doi.org/10.1016/j.jdeveco.2016.05.006
  • MOKYR, J. (1993), “Technological Progress and the Decline of European Mortality”, The American Economic Review, 83(2), 324–330. http://www.jstor.org/stable/2117685
  • MOKYR, J. (2000), “Why ‘More Work for Mother?’ Knowledge and Household Behavior, 18701945”, The Journal of Economic History, 60(1), 1–41. http://www.jstor.org/stable/2566795
  • NON-COMMUNICABLE DISEASE (NCD) RISK FACTOR COLLABORATION. (2016), “Trends in adult body-mass index in 200 countries from 1975 to 2014: A pooled analysis of 1698 population-based measurement studies with 19.2 million participants [Data set]”, Lancet, 387(10026), 1377–1396. https://doi.org/10.1016/S0140-6736(16)30054-X
  • ÖZTÜRK, C. (2018), Essays on health and economic development nexus: New evidence from a panel of countries [Unpublished doctoral dissertation]. Middle East Technical University.
  • RAMSEY, F. P. (1928), “A mathematical theory of saving”, The Economic Journal, 38(152), 543– 559. https://doi.org/10.2307/2224098
  • ROODMAN, D. (2009), “How to do xtabond2: An introduction to difference and system GMM in Stata”, The Stata Journal, 9(1), 86–136. https://doi.org/10.1177/1536867X0900900106
  • STAIGER, D., and STOCK, J.H. (1997), “Instrumental variables regression with weak instruments”, Econometrica, 65(3), 557–586. https://doi.org/10.2307/2171753
  • STRAUSS, J., and THOMAS, D. (1998), “Health, nutrition and economic development”, Journal of Economic Literature, 36(2), 766–817. https://www.jstor.org/stable/2565122
  • TANSEL, A., ÖZTÜRK, C., and ERDIL, E. (2021), The Impact of Body Mass Index on Growth, Schooling, Productivity, and Savings: A Cross-Country Study (IZA Discussion Papers, No. 14727). Institute of Labor Economics (IZA). https://docs.iza.org/dp14727.pdf
  • UNITED NATIONS. (1977), Demographic yearbook 1976. The United Nations. https://doi.org/10.18356/3022da8b-en-fr
  • UNITED NATIONS. (1987), Demographic yearbook 1985. The United Nations. https://doi.org/10.18356/ccc009b5-en-fr
  • UNITED NATIONS. (1999), Demographic yearbook 1997. The United Nations. https://doi.org/10.18356/e8b282c6-en-fr
  • UNITED NATIONS. (n.d.), National accounts data [Data set]. The United Nations Statistics Division. Retrieved March 30, 2018, from https://unstats.un.org/unsd/nationalaccount/data.asp
  • VANDENBROUCKE, G. (2022a, June 22), “Mortality Reductions: Fast for Poorer Nations, Slow for Richer Nations”, Regional Economist. https://www.stlouisfed.org/publications/regionaleconomist/2022/june/mortality-reductions-poorer-nations-richer-nations
  • VANDENBROUCKE, G. (2022b), “Mortality and Economic Growth. Economic Synopses”, 2022(30). https://doi.org/10.20955/es.2022.30
  • WOOLDRIDGE, J. M. (2002), Econometric analysis of cross section and panel data. The Massachusetts Institute of Technology Press.
  • WOOLDRIDGE, J. M. (2012), Introductory econometrics: A modern approach (5th Ed). Cengage Learning Press.
  • WORLD BANK. (1982), World development report 1982, Oxford University Press. https://openknowledge.worldbank.org/handle/10986/5965
  • WORLD BANK. (1983), World development report 1983, Oxford University Press. https://openknowledge.worldbank.org/handle/10986/5966
  • WORLD BANK. (1987), World development report 1987, Oxford University Press. https://openknowledge.worldbank.org/handle/10986/5970
  • WORLD BANK. (1992), World development report 1992: Development and the environment, Oxford University Press. https://openknowledge.worldbank.org/handle/10986/5975
  • WORLD BANK. (1996), World development report 1996: From plan to market, Oxford University Press. https://openknowledge.worldbank.org/handle/10986/5979
  • WORLD BANK. (1997), World development report 1997: The state in a changing world, Oxford University Press. https://openknowledge.worldbank.org/handle/10986/5980
  • WORLD BANK. (1999), World development report 1999/2000: Entering the 21st century, Oxford University Press. https://openknowledge.worldbank.org/handle/10986/5982
  • WORLD BANK. (2001), World development report 2000/2001: Attacking poverty, Oxford University Press. https://openknowledge.worldbank.org/handle/10986/11856
  • WORLD BANK. (n.d.a), World development indicators [Data set], The World Bank. Retrieved March 30, 2018, from https://datacatalog.worldbank.org/search/data set/0037712/WorldDevelopment-Indicators
  • WORLD BANK. (n.d.b), World development indicators [Data set], The World Bank, Retrieved February 09, 2018, from https://datacatalog.worldbank.org/search/data set/0037712/WorldDevelopment-Indicators
  • WORLD BANK. (n.d.c), World development indicators [Data set], The World Bank, Retrieved January 19, 2018, from https://datacatalog.worldbank.org/search/data set/0037712/WorldDevelopment-Indicators
  • WORLD HEALTH ORGANIZATION. (2010, May 6), A healthy lifestyle - WHO recommendations, World Health Organization. https://www.who.int/europe/news-room/fact-sheets/item/ahealthy-lifestyle---who-recommendations
  • WORLD HEALTH ORGANIZATION. (n.d.), The global health observatory: Explore a world of health data [Data set], The World Health Organization. Retrieved January 19, 2018, from https://www.who.int/data/gho

The nonlinear effect of body mass index on economic growth, human capital, productivity, and savings: A cross-country study

Year 2024, Volume: 51 Issue: 1, 127 - 144, 28.06.2024

Abstract

We examine the association between wealth and health using economic growth and development indicators and body mass index as the proxy variable for health. Empirically, the economic indicators utilized are gross domestic product per capita, human capital, overall and manufacturing productivities, and savings. We estimate our models using the fixed effect and the generalized method of moments estimators and long difference ordinary least squares and instrumental variable estimations using five-yearly balanced panel data, including 47 countries for 1980–2009. We conclude that body mass index has a nonlinear and nonmonotonic effect on all employed economic growth and development indicators.

References

  • ACEMOGLU, D., and JOHNSON, S. (2007), “Disease and development: The effect of life expectancy on economic Growth”, The Journal of Political Economy, 115(6), 925–985. https://doi.org/10.1086/529000
  • ACKERT, L.F., DEAVES, R., MIELE, J., and NGUYEN, Q. (2020), “Are time preference and risk preference associated with cognitive intelligence and emotional intelligence?”, Journal of Behavioral Finance, 21 (2), 136–156. https://doi.org/10.1080/15427560.2019.1663850
  • ARELLANO, M., and BOND, S. (1991), “Some tests of specification for panel data: Monte carlo evidence and an application to employment equations”, The Review of Economic Studies, 58(2), 277. https://doi.org/10.2307/2297968
  • ASIAN DEVELOPMENT BANK. (1987), Annual report 1986, The Asian Development Bank. https://www.adb.org/sites/default/files/institutional-document/32153/adb-ar-1986.pdf
  • ASIAN DEVELOPMENT BANK. (1992), Annual report 1991, The Asian Development Bank. https://www.adb.org/sites/default/files/institutional-document/32144/adb-ar-1991.pdf
  • ASIAN DEVELOPMENT BANK. (1997), Annual report 1996, The Asian Development Bank. https://www.adb.org/sites/default/files/institutional-document/32136/adb-ar-1996.pdf
  • ASIAN DEVELOPMENT BANK. (2017), Key indicators for Asia and the Pacific 2017 (48th Ed.). The Asian Development Bank. http://dx.doi.org/10.22617/FLS178890-2
  • AZOMAHOU, T. T., BOUCEKKINE, R., and DIENE, B. (2009), “A closer look at the relationship between life expectancy and economic growth”, International Journal of Economic Theory, 5(2), 201–244. https://doi.org/10.1111/j.1742-7363.2009.00105.x
  • BARLOW, P., REEVES, A., MCKEE, M., GALEA, G., and STUCKLER, D. (2016), “Unhealthy diets, obesity, and time discounting: A systematic literature review and network analysis”, Obesity Reviews, 17, 810–819. https://doi.org/10.1111/obr.12431
  • BAYER, Y. M., and OSHER, Y. (2018), “Time preference, executive functions, and ego-depletion: An exploratory study”, Journal of Neuroscience, Psychology, and Economics, 11(3), 127–134. https://doi.org/10.1037/npe0000092
  • BAUM, C. F., SCHAFFER, M. E., and STILLMAN, S. (2007), “Enhanced routines for instrumental variables/GMM estimation and testing”, The Stata Journal, 7(4), 465–506. https://doi.org/10.1177/1536867X0800700402
  • BOLT, J., and VAN ZANDEN, J. L. (2014), “The maddison project: Collaborative research on historical national accounts (Maddison project database, Version 2013) [Data set]”, The Economic History Review, 67(3), 627–651. https://doi.org/10.1111/1468-0289.12032
  • BROWN, H., and BIOSCA, O. (2016), “Exploring the relationship between time preference, body fatness, and educational attainment”, Social Science and Medicine, 158, 75–85. https://doi.org/10.1016/j.socscimed.2016.04.016
  • CAVALIERE, A., MARCHI, E. D., and BANTERLE, A. (2014), “Healthy–unhealthy weight and time preference. Is there an association? An analysis through a consumer survey”, Appetite, 83, 135–143. https://doi.org/10.1016/j.appet.2014.08.011
  • CERVELLATI, M., and SUNDE, U. (2009), Life expectancy and economic growth: The role of the demographic transition (IZA Discussion Papers, No. 4160). Institute of Labor Economics (IZA). http://ftp.iza.org/dp4160.pdf
  • CERVELLATI, M., and SUNDE, U. (2011), “Life expectancy and economic growth: the role of the demographic transition”, Journal of Economic Growth, 16(2), 99–133. https://doi.org/10.1007/s10887-011-9065-2
  • DAHL, A.K., HASSING, L. B., FRANSSON, E., BERG, S., GATZ, M. REYNOLDS, C.A., and
  • PEDERSEN, N. L. (2010), “Being overweight in midlife is associated with lower cognitive ability and steeper cognitive decline in late life”, The Journal of Gerontology, Series A: Biological Sciences and Medical Sciences, 65A (1), 57–62. https://doi.org/10.1093/gerona/glp035
  • DAHL, A. K., and HASSING, L. B. (2013), “Obesity and cognitive aging”, Epidemiologic Reviews, 35(1), 22–32. https://doi.org/10.1093/epirev/mxs002
  • DASGUPTA, P. (1997), “Nutritional status, the capacity for work, and poverty traps”, Journal of Econometrics 77(1), 5–37. https://doi.org/10.1016/S0304-4076(96)01804-0 DAVIS, J. B. (2003), The Theory of the Individual in Economics. Routledge.
  • DESBORDES, R. (2011), “The non-linear effects of life expectancy on economic growth”, Economics Letters, 112(1), 116–118. https://doi.org/10.1016/j.econlet.2011.03.027
  • DOHMEN, T., FALK, A., HUFFMAN, D., and SUNDE, U. (2010), “Are risk aversion and impatience related to cognitive ability?”, The American Economic Review, 100(3), 1238–1260. https://www.jstor.org/stable/27871246
  • DOU, J., DU, L., WANG, K., SUN, H., and ZHANG, C. (2020), “Wage penalties or wage premiums? A socioeconomic analysis of gender disparity in obesity in Urban China”, International Journal of Environmental Research and Public Health, 17(19), 7004. https://doi.org/10.3390/ijerph17197004
  • FEENSTRA, R. C., INKLAAR, R., and TIMMER, M. P. (2015), “The next generation of the Penn World table [Data set]”, American Economic Review, 105(10), 3150–3182. http://dx.doi.org/10.1257/aer.20130954
  • GÓMEZ-PINILLA, F. (2008), “Brain foods: The effects of nutrients on brain function”, Nature Reviews Neurosciences, 9, 568–578. https://doi.org/10.1038/nrn2421
  • GREGORY, C. A., and RUHM, C. J. (2009), Where does the wage penalty bite? (NBER Working Paper 14984). National Bureau of Economic Research. https://www.nber.org/system/files/chapters/c11824/revisions/c11824.rev0.pdf
  • HANSEN, C. W. (2012), “The relation between wealth and health: Evidence from a world panel of countries”, Economics Letters, 115(2), 175–176. https://doi.org/10.1016/j.econlet.2011.12.031
  • HUSAIN, Z., DUTTA, M., and CHOWDHARY, N. (2014), “Is health wealth? Results of a panel data analysis”, Social Indicators Research, 117, 121–143. https://doi.org/10.1007/s11205-0130337-4
  • JARRETT, B. A., BLOCH, G. J., BENNETT, D., BLEAZARD, B., and HEDGES, D. W. (2010), “The influence of body mass index, age and gender on current illness: a cross-sectional study”, International Journal of Obesity, 34(3), 429–436. https://doi.org/10.1038/ijo.2009.258
  • KANG, M.I., and IKEDA, S. (2016), “Time discounting, present biases, and health-related behaviors: Evidence from Japan”, Economics and Human Biology, 21, 122–136. https://doi.org/10.1016/j.ehb.2015.09.005
  • KEDIR, A. M. (2009), “Health and productivity: Panel data evidence from Ethiopia”, African Development Review, 21(1), 59–72. https://doi.org/10.1111/j.1467-8268.2009.00203.x
  • KROPFHÄUßER, F., and SUNDER, M. (2015), “A weighty issue revisited: The dynamic effect of body weight on earnings and satisfaction in Germany”, Applied Economics, 47(41), 4364– 4376. https://doi.org/10.1080/00036846.2015.1030563
  • LEE, J.-W., and LEE, H. (2016), “Human capital in the long run [Data set]”, Journal of Development Economics, 122, 147–169. https://doi.org/10.1016/j.jdeveco.2016.05.006
  • MOKYR, J. (1993), “Technological Progress and the Decline of European Mortality”, The American Economic Review, 83(2), 324–330. http://www.jstor.org/stable/2117685
  • MOKYR, J. (2000), “Why ‘More Work for Mother?’ Knowledge and Household Behavior, 18701945”, The Journal of Economic History, 60(1), 1–41. http://www.jstor.org/stable/2566795
  • NON-COMMUNICABLE DISEASE (NCD) RISK FACTOR COLLABORATION. (2016), “Trends in adult body-mass index in 200 countries from 1975 to 2014: A pooled analysis of 1698 population-based measurement studies with 19.2 million participants [Data set]”, Lancet, 387(10026), 1377–1396. https://doi.org/10.1016/S0140-6736(16)30054-X
  • ÖZTÜRK, C. (2018), Essays on health and economic development nexus: New evidence from a panel of countries [Unpublished doctoral dissertation]. Middle East Technical University.
  • RAMSEY, F. P. (1928), “A mathematical theory of saving”, The Economic Journal, 38(152), 543– 559. https://doi.org/10.2307/2224098
  • ROODMAN, D. (2009), “How to do xtabond2: An introduction to difference and system GMM in Stata”, The Stata Journal, 9(1), 86–136. https://doi.org/10.1177/1536867X0900900106
  • STAIGER, D., and STOCK, J.H. (1997), “Instrumental variables regression with weak instruments”, Econometrica, 65(3), 557–586. https://doi.org/10.2307/2171753
  • STRAUSS, J., and THOMAS, D. (1998), “Health, nutrition and economic development”, Journal of Economic Literature, 36(2), 766–817. https://www.jstor.org/stable/2565122
  • TANSEL, A., ÖZTÜRK, C., and ERDIL, E. (2021), The Impact of Body Mass Index on Growth, Schooling, Productivity, and Savings: A Cross-Country Study (IZA Discussion Papers, No. 14727). Institute of Labor Economics (IZA). https://docs.iza.org/dp14727.pdf
  • UNITED NATIONS. (1977), Demographic yearbook 1976. The United Nations. https://doi.org/10.18356/3022da8b-en-fr
  • UNITED NATIONS. (1987), Demographic yearbook 1985. The United Nations. https://doi.org/10.18356/ccc009b5-en-fr
  • UNITED NATIONS. (1999), Demographic yearbook 1997. The United Nations. https://doi.org/10.18356/e8b282c6-en-fr
  • UNITED NATIONS. (n.d.), National accounts data [Data set]. The United Nations Statistics Division. Retrieved March 30, 2018, from https://unstats.un.org/unsd/nationalaccount/data.asp
  • VANDENBROUCKE, G. (2022a, June 22), “Mortality Reductions: Fast for Poorer Nations, Slow for Richer Nations”, Regional Economist. https://www.stlouisfed.org/publications/regionaleconomist/2022/june/mortality-reductions-poorer-nations-richer-nations
  • VANDENBROUCKE, G. (2022b), “Mortality and Economic Growth. Economic Synopses”, 2022(30). https://doi.org/10.20955/es.2022.30
  • WOOLDRIDGE, J. M. (2002), Econometric analysis of cross section and panel data. The Massachusetts Institute of Technology Press.
  • WOOLDRIDGE, J. M. (2012), Introductory econometrics: A modern approach (5th Ed). Cengage Learning Press.
  • WORLD BANK. (1982), World development report 1982, Oxford University Press. https://openknowledge.worldbank.org/handle/10986/5965
  • WORLD BANK. (1983), World development report 1983, Oxford University Press. https://openknowledge.worldbank.org/handle/10986/5966
  • WORLD BANK. (1987), World development report 1987, Oxford University Press. https://openknowledge.worldbank.org/handle/10986/5970
  • WORLD BANK. (1992), World development report 1992: Development and the environment, Oxford University Press. https://openknowledge.worldbank.org/handle/10986/5975
  • WORLD BANK. (1996), World development report 1996: From plan to market, Oxford University Press. https://openknowledge.worldbank.org/handle/10986/5979
  • WORLD BANK. (1997), World development report 1997: The state in a changing world, Oxford University Press. https://openknowledge.worldbank.org/handle/10986/5980
  • WORLD BANK. (1999), World development report 1999/2000: Entering the 21st century, Oxford University Press. https://openknowledge.worldbank.org/handle/10986/5982
  • WORLD BANK. (2001), World development report 2000/2001: Attacking poverty, Oxford University Press. https://openknowledge.worldbank.org/handle/10986/11856
  • WORLD BANK. (n.d.a), World development indicators [Data set], The World Bank. Retrieved March 30, 2018, from https://datacatalog.worldbank.org/search/data set/0037712/WorldDevelopment-Indicators
  • WORLD BANK. (n.d.b), World development indicators [Data set], The World Bank, Retrieved February 09, 2018, from https://datacatalog.worldbank.org/search/data set/0037712/WorldDevelopment-Indicators
  • WORLD BANK. (n.d.c), World development indicators [Data set], The World Bank, Retrieved January 19, 2018, from https://datacatalog.worldbank.org/search/data set/0037712/WorldDevelopment-Indicators
  • WORLD HEALTH ORGANIZATION. (2010, May 6), A healthy lifestyle - WHO recommendations, World Health Organization. https://www.who.int/europe/news-room/fact-sheets/item/ahealthy-lifestyle---who-recommendations
  • WORLD HEALTH ORGANIZATION. (n.d.), The global health observatory: Explore a world of health data [Data set], The World Health Organization. Retrieved January 19, 2018, from https://www.who.int/data/gho
There are 63 citations in total.

Details

Primary Language English
Subjects Panel Data Analysis, Applied Microeconometrics
Journal Section Research Article
Authors

Aysit Tansel 0000-0001-9556-2396

Ceyhan Öztürk This is me 0000-0002-0766-2678

Erkan Erdil 0000-0003-3091-2441

Publication Date June 28, 2024
Submission Date January 19, 2024
Acceptance Date May 24, 2024
Published in Issue Year 2024 Volume: 51 Issue: 1

Cite

APA Tansel, A., Öztürk, C., & Erdil, E. (2024). The nonlinear effect of body mass index on economic growth, human capital, productivity, and savings: A cross-country study. METU Studies in Development, 51(1), 127-144.