The paper investigates the effects of changes in the distribution of income and in wealth on aggregate demand and its components. We extend the Bhaduri and Marglin (1990) model to include personal income inequality as well as asset prices and debt. This allows for an evaluation of the wage or profit-led nature of demand regimes, of the expenditure cascade argument (Frank et al. 2010) and several hypotheses regarding the effects of wealth and debt. Our estimates are based on a panel of 18 OECD countries covering the period 1980-2013. For the full panel the average demand regime is found to be wage led. We fail to find effects of personal inequality, but do find strong effects of debt and property prices which have been the major drivers of aggregate demand in the decade prior to the 2007 crisis.

It is a well-known criticism that if the distribution of wealth is highly concentrated, survey data are hardly reliable when it comes to analyzing the richest parts of society. This paper addresses this criticism by providing a general rationale of the underlying methodological problem as well as by proposing a specific methodological approach tailored to correcting the arising bias. We illustrate the latter approach by using Austrian data from the Household Finance and Consumption Survey. Specifically, we identify suitable parameter combinations by using a series of maximum-likelihood estimates and appropriate goodness-of-fit tests to avoid arbitrariness with respect to the fitting of the Pareto distribution. Our results suggest that the alleged non-observation bias is considerable, accounting for about one quarter of total net wealth in the case of Austria. The method developed in this paper can easily be applied to other countries where survey data on wealth are available. JEL Codes: C46, C81, D31

The past decades have witnessed a strong increase in household debt and high growth of private consumption expenditures in many countries. This paper empirically investigates four explanations: First, the expenditure cascades hypothesis argues that an increase in inequality induced lower income groups to copy the spending behaviour of richer peer groups and thereby drove them into debt ('keeping up with the Joneses'). Second, the housing boom hypothesis argues that increasing property prices encourage household spending and household borrowing due to wealth effects, eased credit constraints and the prospect of future capital gains. Third, the low interest hypothesis argues that low interest rates encouraged households to take on more debt. Fourth, the financial deregulation hypothesis argues that deregulation of the financial sector boosted credit supply. The paper tests these hypotheses by estimating the determinants of household borrowing using a panel of 11 OECD countries (198011 OECD countries ( -2011. Results indicate that real estate prices and low interest rates were the most important drivers of household debt. In contrast the data does not support the expenditure cascades hypothesis as a general explanation of debt accumulation across OECD countries. Our results are consistent with the financial deregulation hypothesis, but its explanatory power for the 1995-2007 period is low.

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