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Demographic Uncertainty and the Sustainability of Social Welfare Systems Jukka Lassila ETLA Finland DEMWEL • EU’s 5th Framework research project • Partners from Belgium, Denmark, Finland, France, Germany, the Netherlands, Spain and UK. • Utilizes population research in UPE (another 5th framework project) Population ageing in Europe is due to • Changes in fertility – current fertility leads to negative growth – baby-boom cohorts retire • Decreases in mortality • Forecasts made in the 1940's missed the baby-boom in all industrialized countries, • improvements in life expectancy have been underestimated in most industrialized countries, • the decline in fertility in the 1990's in the Mediterranean countries was not anticipated by the national forecasters, • migration has surprised forecasters in many countries such as the Netherlands. Quantifying demographic uncertainty • Use forecast errors – too few actual forecasts – generate baseline forecasts afterwards • Fertility: assume the current value to persist • Mortality: assume the decline observed in most recent 15 years to continue Forecast of the Old Age-dependency Ratio in Finland Expenditure on social welfare and health care in Finland, % of GDP If demographic projections are uncertain, • how uncertain are the ageing cost projections? • how should that affect policy targets? How does it affect the use of policy instruments? Can new instruments be designed? • how can economic methods deal with demographic uncertainty? Combining stochastic population simulations with an economic model creates a useful tool What if we are unlucky in future demographics? – spell out now how sustainability will be upheld What if we are lucky in future demographics? – avoid too high taxes now (e.g. excess funding for pensions) Wise ageing policies should be prepared for a worse demographic future than the expected one