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The extension of long-term loans, e.g. to finance housing, is adversely affected by inflation. For one thing, the higher nominal interest rates charged by the banks in response to inflation mean that borrowers have to make (nominally) higher interest payments, which unnecessarily reduces their borrowing capacity. For another, long-term loans with variable interest rates increase the probability that borrowers will become unable to meet their payment obligations. The present paper examines these two assertions in detail. At the same time, it presents a concept for substantially reducing the weaknesses of conventional lending methodologies. We start by investigating the consequences of a stable inflation rate on the borrowing capacity of credit clients, then go on to analyze the impact of fluctuating inflation rates on the risk of default.
This paper documents and studies sources of international differences in participation and holdings in stocks, private businesses, and homes among households aged 50+ in the US, England, and eleven continental European countries, using new internationally comparable, household-level data. With greater integration of asset and labor markets and policies, households of given characteristics should be holding more similar portfolios for old age. We decompose observed differences across the Atlantic, within the US, and within Europe into those arising from differences: a) in the distribution of characteristics and b) in the influence of given characteristics. We find that US households are generally more likely to own these assets than their European counterparts. However, European asset owners tend to hold smaller real, PPP-adjusted amounts in stocks and larger in private businesses and primary residence than US owners at comparable points in the distribution of holdings, even controlling for differences in configuration of characteristics. Differences in characteristics often play minimal or no role. Differences in market conditions are much more pronounced among European countries than among US regions, suggesting significant potential for further integration.
This paper presents a simple new method for estimating the size of ‘wealth effects’ on aggregate consumption. The method exploits the well-documented sluggishness of consumption growth (often interpreted as ‘habits’ in the asset pricing literature) to distinguish between short-run and long-run wealth effects. In U.S. data, we estimate that the immediate (next-quarter) marginal propensity to consume from a $1 change in housing wealth is about 2 cents, with a final long-run effect around 9 cents. Consistent with several recent studies, we find a housing wealth effect that is substantially larger than the stock wealth effect. We believe that our approach is preferable to the currently popular cointegrationbased estimation methods, because neither theory nor evidence justifies faith in the existence of a stable cointegrating vector. JEL Classification: E21, E32, C22