Demography and housing demand—what can we learn from residential construction data?

There are obvious reasons why residential construction should depend on the population’s age structure. We estimate this relation on Swedish time series data and Organization for Economic Cooperation and Development panel data. Large groups of young adults are associated with higher rates of residential construction, but there is also a significant negative effect from those above 75. Age effects on residential investment are robust and forecast well out-of-sample in contrast to the corresponding house price results. This may explain why the debate around house prices and demography has been rather inconclusive. Rapidly aging populations in the industrialized world makes the future look bleak for the construction industry.

Age structure effects and growth in the OECD, 1950–1990

Economic growth depends on human resources and human needs. The demographic age structure shapes both of these factors. We study five-year data from the OECD countries 1950–1990 in the framework of an age structure augmented neoclassical growth model with gradual technical adjustment. The model performs well in both pooled and panel estimations. The growth patterns of GDP per worker (labor productivity) in the OECD countries are to a large extent explained by age structure changes. The 50–64 age group has a positive influence, and the group above 65 contributes negatively, while younger age groups have ambiguous effects. However, the mechanism behind these age effects is not yet resolved. Received: 16 January 1997/Accepted: 2 July 1998     

Low Fertility and Long-Run Growth in an Economy with a Large Public Sector

Recently it has been suggested that low fertility countries may be caught in a trap that is hard to get out of. One important mechanism in such a trap would be social interaction and its effect on the ideal family size. Such social interaction mechanisms are hard to capture in formal models, therefore we use an agent-based simulation model to investigate the issue. In our experimental setup a stable growth and population path is calibrated to Swedish data using the Swedish social policy setup. The model is provoked into a fertility trap by increasing relative child costs linked to positive growth. Even rather large increases in child benefits are then insufficient to get out of the trap. However, the small number of children temporarily enables the economy to grow faster for several decades. Removing the adaptation of social norms turns out to disarm the trap.     

A Novel Approach to Chemical Mixture Risk Assessment—Linking Data from Population‐Based Epidemiology and Experimental Animal Tests

Humans are continuously exposed to chemicals with suspected or proven endocrine disrupting chemicals (EDCs). Risk management of EDCs presents a major unmet challenge because the available data for adverse health effects are generated by examining one compound at a time, whereas real‐life exposures are to mixtures of chemicals. In this work, we integrate epidemiological and experimental evidence toward a whole mixture strategy for risk assessment. To illustrate, we conduct the following four steps in a case study: (1) identification of single EDCs (“bad actors”)—measured in prenatal blood/urine in the SELMA study—that are associated with a shorter anogenital distance (AGD) in baby boys; (2) definition and construction of a “typical” mixture consisting of the “bad actors” identified in Step 1; (3) experimentally testing this mixture in an in vivo animal model to estimate a dose–response relationship and determine a point of departure (i.e., reference dose [RfD]) associated with an adverse health outcome; and (4) use a statistical measure of “sufficient similarity” to compare the experimental RfD (from Step 3) to the exposure measured in the human population and generate a “similar mixture risk indicator” (SMRI). The objective of this exercise is to generate a proof of concept for the systematic integration of epidemiological and experimental evidence with mixture risk assessment strategies. Using a whole mixture approach, we could find a higher rate of pregnant women under risk (13%) when comparing with the data from more traditional models of additivity (3%), or a compound‐by‐compound strategy (1.6%).     

Immigrants in the Old‐Age Pension System: The Case of Sweden

The article investigates incomes and especially state pensions 2008 among elderly immigrants who arrived in Sweden before 1970. At age 70 and above, the level of state old‐age pension for immigrant men was nearly the same and for immigrant women somewhat higher than for natives with similar characteristics. At age 65–66 the state pension was lower for immigrants than for their native counterparts. The differences in pensions for immigrants of different ages are probably due to changed rules in the Swedish state old‐age pension system from 2003. The new rules have hit different age groups in different ways. The gaps are partially levelled out when other incomes are included. The extent to which levelling occurs varies greatly between different immigrant groups. For immigrants who have arrived during the last decades, the future state old‐age pension outcomes are expected to be worse.

Policy Implications

• The Swedish Pensions Agency should set up a register of pensions from abroad. This will tell us to what extent old‐age pensions from the home country compensate for low old‐age pensions from the Swedish system.
• Better integration on the labour market is a powerful measure for reducing the risk of future low pensions among immigrants. This is a challenge for Swedish integration policy.
• To what extent can other parts of the Swedish welfare system in the future compensate individuals with low old‐age pensions?

     

Public Opinion against Markets? Attitudes towards Market Distribution of Social Services – A Comparison of 17 Countries

This article studies how citizens view the appropriateness of market criteria for allocating services commonly associated with social citizenship rights and welfare state responsibility. The article focuses specifically on a potential role for the market in the provision of social services. The relationship between welfare policy institutions, socio‐economic class and attitudes is explored by comparing attitudes across 17 countries of the Organisation for Economic Co‐operation and Development, using multilevel modelling and data from the 2009 International Social Survey Programme. Results show that public support for market distribution of services is relatively weak in most countries, a result suggesting that public opinion is unlikely to pose a driving force within ongoing processes of welfare marketization. Still, attitudes are found to vary a lot across countries in tandem with between‐country variation in welfare policy design. First, aggregate public support for market distribution of services is stronger in countries with more private spending on services. Second, class differences in attitudes are larger in countries with more extensive state‐led delivery of services. Together, these results point to the operation of normative feedback‐effects flowing from existing welfare policy arrangements. The theoretical arguments and the empirical results presented in this article suggest that future research exploring the relationship between welfare policy and public opinion from a country‐comparative perspective is well advised to place greater focus on the market institutions that, to varying extents in different countries, act as complements to the state in the administration of social welfare.     

Age structure and economic policy: The case of saving and growth

The age structure of the population affects aggregate saving, which affects growth through investment. Growth in turn is influenced by other age structure effects and feeds back into aggregate saving by well known life cycle mechanisms. Some of these feedbacks are generally ignored in empirical work. Especially the age structure effect on macroeconomic variables is a commonly overlooked, yet easily accessible factor useful for prediction, policy evaluation and design. The connection between age structure, savings and growth in the OECD from 1950 to 1990 illustrates how policy analysis that ignores the macroeconomic effects and feedbacks from age structure changes is liable to lead to faulty and potentially costly conclusions about policy issues.