Several survey studies have found that internal migrants report lower levels of happiness than locals, even after accounting for socio-economic factors. Traditional global self-ratings reveal that the migrant–local happiness-gap is also present in the data we present. The reasons for the migrant–local happiness-gap are as yet unclear. This paper aims to open this ‘black box’ by exploring the role of daily activities among a population that has generally been overlooked despite their high migration frequency: young adults. An innovative smartphone application is used that combines two techniques for multiple moment assessment: the experience sampling method and the day reconstruction method. Based on the application data, we examine whether internal migrants spend their time differently than locals and in which situations they feel noticeably less happy than locals. The data reveal that internal migrants distribute less time to happiness-producing activities such as active leisure, social drinking/parties, and activities outside home/work/transit. Internal migrants feel less happy than locals when spending time with friends and while eating. Possible explanations focusing on the role of social capital are discussed. Further analyses reveal that daily life experiences greatly enhance the explanation of the migrant–local happiness-gap. This paper demonstrates the potential value of real-time data and phone applications in solving happiness puzzles.
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This is also recognised as semi-internal migration, as former West Germany (BRD) and former East Germany (DDR) were reunited into one Germany in 1990, but faced significant social, economic, and cultural differences.
Some degree of memory bias is likely to be present when applying DRM, for instance, due to the “peak-end-rule” (Redelmeier et al. 2003). The bias remains acceptable, however, because people are shown to have adequate access to relevant information for indicating their feelings on the previous day (Kahneman et al. 2004).
This advantage is not yet applicable to our application as we lacked the resources to publicly introduce and promote the application.
Additionally, 11 young adults not living in the Dusseldorf area and 21 adults over the age of 30 were recruited but not considered for analysis as they introduced potential endogenous biases (e.g., living in a happier or unhappier region or migrated decades ago).
Analyses distinguishing the 109 locals in 55 non-movers and 54 short-distance movers (<100 km) reveal no significant differences on all six subjective-well being measures; analyses are available on request.
An education variable, asking about the highest level of education completed is excluded because it was highly correlated with age (r = 0.82). The high correlation is plausible given our sample of young adults.
Robustness checks are performed by replacing the 1-item life satisfaction measure with the SWLS and replacing the overall day reconstruction score with the overall experience sampling score. The outcomes are in line with the reported results; results are available on request.
According to Cohen (1992), effect sizes should be interpreted as follows: ηρ² = 0.01 as small, ηρ² = 0.06 as medium, and ηρ² = 0.14 as large.
Further robustness analyses suggest that the happiness-gap between migrants and locals was largely unaffected by (1) excluding a minimum boundary for signal response rate, (2) including people over 30 years old, or (3) including those not living in the Düsseldorf region; results are available on request.
A more detailed analysis of ‘friends’ did not appear to be useful due to the limited sample size per activity.
This type of ‘Heckman’ model applies a probit model in the first stage to reflect on the binary nature of the migration decision.
Similar results are found when using other dependent variables; results are available on request.
Aksel, Ş., Gün, Z., Irmak, T. Y., & Cengelci, B. (2007). Migration and psychological status of adolescents in Turkey. Adolescence, 42, 589–602.
Appleton, S., & Song, L. (2008). Life satisfaction in urban China: Components and determinants. World Development, 36, 2325–2340.
Bartram, D. (2013). Happiness and ‘economic migration’: A comparison of Eastern European migrants and stayers. Migration Studies, 1, 156–175.
Bradburn, N. M. (1969). The structure of psychological well-being. Chicago: Aldine.
Cacioppo, J. T., & Bernston, G. G. (1994). Relationship between attitudes and evaluative space: A critical review, with emphasis on the separability of positive and negative substrates. Psychological Bulletin, 115, 401–423.
Chen, J. (2011). Internal migration and health: Re-examining the healthy migrant phenomenon in China. Social Science and Medicine, 72, 1294–1301.
Cheng, Z., Wang, H., & Smyth, R. (2014). Happiness and job satisfaction in urban China: A comparative study of two generations of migrants and urban locals. Urban Studies, 51, 2160–2184.
Cohen, J. (1992). Quantitative methods in psychology: A power primer. Psychological Bulletin, 112, 155–159.
Csikszentmihalyi, M., & Hunter, J. (2003). Happiness in everyday life: The uses of experience sampling. Journal of Happiness Studies, 4, 185–199.
Dardis, R., Soberon-Ferrer, H., & Patro, D. (1994). Analysis of leisure expenditures in the United States. Journal of Leisure Research, 26, 309–321.
Diener, E. D., Emmons, R. A., Larsen, R. J., & Griffin, S. (1985). The satisfaction with life scale. Journal of Personality Assessment, 49, 71–75.
Diener, E., Inglehart, R., & Tay, L. (2013). Theory and validity of life satisfaction scales. Social Indicators Research, 112, 497–527.
Diener, E., & Tay, L. (2013). Review of the day reconstruction method (DRM). Social Indicators Research, 116, 255–267.
Diener, E., Wirtz, D., Tov, W., Kim-Prieto, C., Choi, D. W., Oishi, S., et al. (2010). New well-being measures: Short scales to assess flourishing and positive and negative feelings. Social Indicators Research, 97, 143–156.
Ek, E., Koiranen, M., Raatikka, V. P., Järvelin, M. R., & Taanila, A. (2008). Psychosocial factors as mediators between migration and subjective well-being among young Finnish adults. Social Science and Medicine, 66, 1545–1556.
Ferrer-i-Carbonell, A., & Frijters, P. (2004). How important is methodology for the estimates of the determinants of happiness? The Economic Journal, 114, 641–659.
Fozdar, F., & Torezani, S. (2008). Discrimination and well-being: Perceptions of refugees in Western Australia. International Migration Review, 42, 30–63.
Fredrickson, B. L. (2001). The role of positive emotions in positive psychology: The broaden-and-build theory of positive emotions. American Psychologist, 56, 218–226.
Frijters, P., Haisken-DeNew, J. P., & Shields, M. A. (2004). Money does matter! Evidence from increasing real income and life satisfaction in East Germany following reunification. American Economic Review, 94, 730–740.
Fuchs-Schündeln, N., & Schündeln, M. (2009). Who stays, who goes, who returns? East-West migration within Germany since reunification. Economics of Transition, 17, 703–738.
Gosling, S. D., Rentfrow, P. J., & Swann, W. B. (2003). A very brief measure of the big five personality domains. Journal of Research in Personality, 37, 504–528.
Hektner, J. M., Schmidt, J. A., & Csikszentmihalyi, M. (2007). Experience sampling method: Measuring the quality of everyday life. Thousand Oaks, CA: Sage Publications Inc.
Kahneman, D. (1999). Objective happiness. In D. Kahneman, E. Diener, & N. Schwartz (Eds.), Well-being: The foundations of hedonic psychology (pp. 3–25). New York: Russel Sage.
Kahneman, D., Krueger, A. B., Schkade, D. A., Schwarz, N., & Stone, A. A. (2004). A survey method for characterizing daily life experience: The day reconstruction method. Science Magazine, 306, 1776–1780.
Kahneman, D., Krueger, A. B., Schkade, D., Schwarz, N., & Stone, A. A. (2006). Would you be happier if you were richer? A focusing illusion. Science Magazine, 312, 1908–1910.
Kantar World Panel (2014). http://www.kantarworldpanel.com/Global/News/Android-ends-the-year-on-top-but-Apple-scores-in-key-markets
Kettlewell, N. (2010). The impact of rural to urban migration on wellbeing in Australia. The Australasian Journal of Regional Studies, 16, 187–213.
Killingsworth, M. A., & Gilbert, D. T. (2010). A wandering mind is an unhappy mind. Science Magazine, 330, 932.
Knabe, A., Rätzel, S., Schöb, R., & Weimann, J. (2010). Dissatisfied with life but having a good day: Time-use and well-being of the unemployed. The Economic Journal, 120, 867–889.
Knight, J., & Gunatilaka, R. (2010). Great expectations? The subjective well-being of rural–urban migrants in China. World Development, 38, 113–124.
MacKerron, G. (2011). Implementation, implementation, implementation: Old and new options for putting surveys and experiments online. Journal of Choice Modelling, 4, 20–48.
Maxwell, S. (2001). When to use MANOVA and significant MANOVAs and insignificant ANOVAs or vice versa. Journal of Consumer Psychology, 10, 29–30.
Melzer, S. M. (2011). Does migration make you happy? The influence of migration on subjective well-being. Journal of Social Research & Policy, 2, 73–92.
Molloy, R., Smith, C. L., & Wozniak, A. K. (2011). Internal migration in the United States. Journal of Economic Perspectives, 25, 173–196.
Nowok, B., Van Ham, M., Findlay, A. M., & Gayle, V. (2013). Does migration make you happy? A longitudinal study of internal migration and subjective well-being. Environment and Planning A, 45, 986–1002.
Oerlemans, W., Bakker A. B., & Veenhoven, R. (2014). http://www.gelukswijzer.nl/happinessindicator/gw/
Organisation for Economic Co-operation and Development (OECD). (2013). OECD guidelines on measuring subjective wellbeing. Paris: OECD Publishing.
Portes, A. (2000). Social capital: Its origins and applications in modern sociology. Boston: Butterworth-Heinemann.
Putnam, R. D. (2000). Bowling alone: The collapse and revival of American community. New York, NY: Simon and Schuster.
Redelmeier, D. A., Katz, J., & Kahneman, D. (2003). Memories of colonoscopy: A randomized trial. Pain, 104, 187–194.
Rodríguez, A., Látková, P., & Sun, Y. Y. (2008). The relationship between leisure and life satisfaction: Application of activity and need theory. Social Indicators Research, 86, 163–175.
Rosenberg, M. (1965). Society and the adolescent self-image. Princeton, NJ: Princeton University Press.
Stimson, R. J., & Minnery, J. (1998). Why people move to the ‘sun-belt’: A case study of long-distance migration to the Gold Coast, Australia. Urban Studies, 35, 193–214.
White, M. P., & Dolan, P. (2009). Accounting for the richness of daily activities. Psychological Science, 20, 1000–1008.
The authors thank Stephan Erdtmann for technological help with constructing the application and Martijn Burger and Thomas de Vroome for comments on earlier versions.
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Hendriks, M., Ludwigs, K. & Veenhoven, R. Why are Locals Happier than Internal Migrants? The Role of Daily Life. Soc Indic Res 125, 481–508 (2016). https://doi.org/10.1007/s11205-014-0856-7
- Internal migration
- Residential mobility
- Subjective well-being
- Experience sampling method
- Day reconstruction method