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Over much of the past 25 years, house price and consumption growth have been closely synchronized. Three main hypotheses for this have been proposed: increases in house prices raise household wealth and so their consumption; house price growth reduces credit constraints by increasing the collateral available to homeowners; and house prices and consumption are together influenced by common factors. Using microeconomic data, we find that the relationship between house prices and consumption is stronger for younger than older households, contradicting the wealth channel. We suggest that common causality has been the most important factor linking house prices and consumption.

This article provides a revealed preference characterisation of quasi-hyperbolic discounting which is designed to be applied to readily available expenditure surveys. We describe necessary and sufficient conditions for the leading forms of the model and also study the consequences of the restrictions on preferences popularly used in empirical lifecycle consumption models. Using data from a household consumption panel dataset, we explore the prevalence of time-inconsistent behaviour. The quasi-hyperbolic model provides a significantly more successful account of behaviour than the alternatives considered. We estimate the joint distribution of time preferences and the distribution of discount functions at various time horizons.

We develop an approach to valuing non-market goods using nonparametric revealed preference analysis. We show how nonparametric methods can also be used to bound the welfare effects of changes in the provision of a non-market good. Our main context is one in which the non-market good affects the marginal utility of consuming a related market good. This can also be framed as a shift in the taste for, or quality of, the market good. A systematic approach for incorporating quality/taste variation into a revealed preference framework for heterogeneous consumers is developed. This enables the recovery of the minimal variation in quality required to rationalise observed choices of related market goods. The variation in quality appears as a adjustment to the price for related market goods which then allows a revealed preference approach to bounding compensation measures of welfare effects to be applied.

Do households cut back on food spending to finance the additional cost of keeping warm during spells of unseasonably cold weather? For households which cannot smooth consumption over time, we describe how cold weather shocks are equivalent to income shocks. We merge detailed household level expenditure data from older households with historical regional weather information. We find evidence that the poorest of older households cannot smooth fuel spending over the worst temperature shocks. Statistically significant reductions in food spending occur in response to winter temperatures 2 or more standard deviations colder than expected, which occur about 1 winter month in 40; reductions in food expenditure are considerably larger in poorer households.

Characteristics models have been found to be useful in many areas of economics. However, their empirical implementation tends to rely heavily on functional form assumptions. In this paper we develop a revealed preference approach to characteristics models. We derive the necessary and sufficient empirical conditions under which data on the market behaviour of heterogeneous, price-taking consumers are non-parametrically consistent with the consumer characteristics model. Where these conditions hold, we show how information may be recovered on individual consumers' marginal valuations of product attributes. In some cases, marginal valuations are point identified, and in other cases, we can only recover bounds. Where the conditions fail, we highlight the role which the introduction of unobserved product attributes can play in rationalizing the data. We implement these ideas using consumer panel data on the Danish milk market.

Characteristics models have been found to be useful in many areas of economics. However, their empirical implementation tends to rely heavily on functional form assumptions. In this paper we develop a revealed preference approach to characteristics models. We derive the necessary and sufficient empirical conditions under which data on the market behaviour of heterogeneous, price-taking consumers are non-parametrically consistent with the consumer characteristics model. Where these conditions hold, we show how information may be recovered on individual consumers' marginal valuations of product attributes. In some cases, marginal valuations are point identified, and in other cases, we can only recover bounds. Where the conditions fail, we highlight the role which the introduction of unobserved product attributes can play in rationalizing the data. We implement these ideas using consumer panel data on the Danish milk market. Reprinted by permission of Blackwell Publishers

This paper uses revealed preference restrictions and nonparametric statistical methods to bound the true cost-of-living index which corresponds most closely to the UK Retail Prices Index (RPI). This is used to assess the RPI formula for substitution bias. We show that neither the direction nor the existence of bias in the RPI forumla can be established on a priori theoretical grounds. However, we find empirical evidence of a variable, but generally positive bias in the rate of inflation recorded by the RPI formula.

Abstract We investigate necessary and sufficient nonparametric conditions for mental accounting.

This paper provides a revealed preference characterisation of quasi-hyperbolic discounting which is designed to be applied to readily-available expenditure surveys. We describe necessary and sufficient conditions for the leading forms of the model and also study the consequences of the restrictions on preferences popularly used in empirical lifecycle consumption models. Using data from a household consumption panel dataset we explore the prevalence of time-inconsistent behaviour. The quasi-hyperbolic model provides a significantly more successful account of behaviour than the alternatives considered. We estimate the joint distribution of time preferences and the distribution of discount functions at various time horizons.