Mobile seniors and local economic development


The world population is ageing rapidly, particularly among advanced economies (OECD 2024). By 2050, nearly one-third of Europeans are expected to be over the age of 65. Public debates have focused largely on the fiscal implications of ageing societies (Koutsogeorgopoulou and Morgavi 2025). One overlooked dimension of demographic change is that the location choices of retirees follow different patterns than those of the working-age population.

In new research (Badilla-Maroto et al. 2026), we use detailed microdata from France covering the population for about five decades to document retiree migration patterns and the implications of senior in-migration for local economies. We find that retiree migration has become an important force in shaping regional economic development and the concentration of economic activity in space over the past decades.

Retirement triggers mobility in the opposite direction of the working-age

Migration rates generally decline with age, but retirement is a clear exception. Around the statutory retirement age in France, we find that mobility – and especially longer-distance domestic migration – increases as newly retired individuals relocate to areas with lower living costs, better amenities, or closer proximity to family.

As summarised in Figure 1, we find that retirees on average move in the opposite direction to working-age migrants. While workers tend to move toward more dynamic urban labour markets (e.g. De La Roca and Puga 2017), retirees, in contrast, predominantly move from richer and denser regions toward poorer and more rural areas.

Figure 1 Retirees predominantly move from richer and denser regions toward poorer and more rural areas

a) Flows of pensioners by population density

 

b) Flows of pensioners by GDP per capita

 

Notes: Figure plots on the y-axis the fraction of gross and net inflows of pensioners (i.e. people aged 55 or above who are retired) in the most recent census period of our database (1999–2008) relative to the initial 1999 total canton population. On the x-axis, we have percentiles (1–100) of initial canton-level population density (Panel a) or GDP per capita (Panel b). Estimates are based on local polynomial regressions with 95% confidence intervals in shaded areas.

This pattern reflects the fact that retirees no longer participate in local labour markets. Their income, typically pensions, is portable and independent of local wages and productivity. As a result, retirees can arbitrage spatial differences in the cost of living and local amenities by migrating from on average richer and more urban to poorer, more rural regions. Senior migration can then shift purchasing power across regions without (directly) affecting local labour supply.

Estimating the economic impact of retiree in-migration

Seniors spend locally but do not enter the labour force. In theory, attracting pensioners could thus generate additional local demand without triggering potential labour-market competition from working-age migration. At the same time, an influx of retirees may tilt production toward a subset of non-traded local services, giving rise to concerns about the decline of manufacturing production and economic dynamism in the medium and long term. And while there is a large literature studying the implications of working-age migration for local labour (e.g. Monras 2020, Burstein et al. 2020, Derenoncourt 2022, Munoz 2024, Galaasen et al. 2025, Dustmann et al. 2025; for recent reviews of this liternature, see Borjas 2014, Dustmann et al. 2016, Peri 2016, and Dustmann and Schönberg 2025), there is little existing evidence on the local economic effects of senior immigration.

Estimating the causal effects of retiree in-migration on local economies is challenging, as senior migration flows are not exogenous and tend to flow toward initially less dense and poorer regions, as we document. To make progress, we develop an identification strategy that uses time variation in the predicted size of newly retired pensioner cohorts across origin regions as a source of variation in senior in-migration across destinations. Predictions are based on the past population age structure across origins – defined at the level of roughly 300 French commuting zones – combined with national age-by-sex mortality rates to project it forward in time.

In a linear shift-share instrumental variable design, we combine this variation in origin retirement waves with destination (canton)-level exposure weights using past retiree migration flows between origin commuting zones and roughly 3,300 French destination cantons. Using this approach, we estimate the effect of inter-censal changes in net senior migration inflows on local economic outcomes across French cantons over the period 1968–2008.

Retirees stimulate local economic activity

We find that the arrival of retirees leads to significant economic gains in destination regions. A one-standard-deviation increase in senior net inflows (equivalent to 2% of the initial local population) increases total employment by about 5.5% and population by 4.5% over the following decade. These effects are in part driven by significant crowding-in effects of mobile pensioners on younger residents. We find that a one-standard-deviation increase in local net senior in-migration leads to a 4% increase in the local working-age population.

We then study the effects on the local economy that underlie these observed population and employment responses. We find that local GDP increases by about 6% and GDP per capita by about 3% relative to other regions. Several mechanisms contribute to these gains. Employment grows, especially in healthcare, retail, and food services that cater to senior residents. Residential construction also increases significantly, and local property and land tax revenues rise as housing demand expands. Importantly, these gains do not appear to come at the expense of tradable industries. We find no significant decline in manufacturing employment following retiree inflows.

Stronger effects in poorer regions

The economic benefits of retiree migration are not uniform across space. We find that the gains from a given migration inflow are most pronounced among initially poorer regions. A one-standard-deviation increase in senior net inflows (2% of the initial local population) leads to a roughly 4.5% increase in local employment and GDP among destinations at the 90th percentile of initial GDP per capita, while these effects increase to roughly 7% for employment and 8.5% for GDP among destinations at the 10th percentile of initial GDP per capita.

One plausible channel underlying this heterogeneity is that the average senior migrant increases local spending by relatively more relative to the local population among initially poorer regions. This presence of significant heterogeneity in the inflow effect will also matter for the implications of senior migration flows for the distribution of production and employment across regions, to which we turn next.

Retirees have become a significant force reducing the spatial concentration of production and employment

We combine the estimated effects of senior migration with the observed net migration flows of seniors across French regions to quantify the implications for the spatial concentration of GDP and employment in France.

For migration flows realised between 1999 and 2008, we find that regions below the median of initial population density or GDP per capita benefited by around +2.5% in relative local employment and +3% in relative local GDP compared to a scenario with zero net flows of pensioners over this period. While our evidence does not speak to the aggregate economic implications of population ageing, it informs us how the rise of senior migration affects the distribution of economic activity across regions.

Overall, our findings suggest that mobile seniors have grown to become a significant force for reducing the concentration of employment and production in space over the past decades. Our findings also serve to draw attention to a potentially promising new set of policy tools for promoting local economic development among lagging regions. While regional policies aimed at attracting industrial production to poor regions are costly, complex, and have had a mixed track record (e.g. Ehrlich and Overman 2020), policies aimed at facilitating the mobility of seniors across regions, investing in local amenities and infrastructure targeted at seniors, and regional publicity campaigns appear substantially more feasible.

References

Badilla-Maroto, M, B Faber, A Levy, and M Muñoz (2026), “Senior migration, local economic development and spatial concentration”, CEPR Discussion Paper 21069. 

Borjas, G J (2014), Immigration economics, Harvard University Press.

Burstein, A, G Hanson, L Tian, and J Vogel (2020), “Tradability and the labor-market impact of immigration: Theory and evidence from the US”, Econometrica 88(3): 1071–12.

De La Roca, J, and D Puga (2017), “Learning by working in big cities”, The Review of Economic Studies 84(1): 106–42.

Derenoncourt, E (2022), “Can you move to opportunity? Evidence from the Great Migration”, American Economic Review 112(2): 369–408.

Dustmann, C, and U Schönberg (2025), “Linking empirical evidence to theory: A framework for understanding immigration’s labor market effects”, Handbook of Labor Economics, Vol. 6.

Dustmann, C, S Otten, U Schönberg, and J Stuhler (2025), “The effects of immigration on places and people–identification and interpretation”, Journal of Labor Economics.

Dustmann, C, U Schönberg, and J Stuhler (2016), “The impact of immigration: Why do studies reach such different results?”, Journal of Economic Perspectives 30(4): 31–56.

Ehrlich, M, and H G Overman (2020), “Place-based policies and spatial disparities across European cities”, Journal of Economic Perspectives 34(3): 128–49.

Galaasen, S, A R Kostøl, J Monras, and J Vogel (2025), “The labor supply curve is upward sloping: The effects of immigrant-induced demand shocks”, NBER Working Paper.

Koutsogeorgopoulou, V, and H Morgavi (2025), “Ageing populations, their fiscal implications and policy responses”, OECD Economics Department Working Papers.

Monras, J (2020), “Immigration and wage dynamics: Evidence from the mexican peso crisis”, Journal of Political Economy 128(8): 3017–89.

Muñoz, M (2024), “Trading nontradables: The implications of Europe’s job-posting policy”, The Quarterly Journal of Economics 139(1): 235–304.

Organisation for Economic Co-operation and Development (OECD) (2024), “Elderly population”, indicator.

Peri, G (2016), “Immigrants, productivity, and labor markets”, Journal of Economic Perspectives 30(4): 3–30.



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