Professor Martin Browning

The authors develop a systematic approach for incorporating taste variation into a revealed preference framework for heterogeneous consumers.

Sharp nonparametric bounds are derived for counterfactual demands and Hicksian compensating and equivalent variations.

The authors investigate life-cycle patterns of demand for services from household durables using UK panel data.

This research includes work on consumption and saving, on poverty and inequality, and on risk sharing and insurance.

We investigate necessary and sufficient nonparametric conditions for the quasi-hyperbolic consumer.

We review different ways in which data on consumer expenditures can be collected or captured

Sharp nonparametric bounds are derived for Hicksian compensating and equivalent variations. These 'i-bounds' generalize earlier results of Blundell, Browning and Crawford (2008). We show that their e-bounds are sharp under the Weak Axiom of Revealed Preference (WARP). They do not require transitivity. The new i-bounds are sharp under the Strong Axiom of Revealed Preference (SARP). By requiring transitivity they can be used to bound welfare measures. The new bounds on welfare measures are shown to be operationalized through algorithms that are easy to implement.

This paper investigates life cycle patterns of demand for services from household durables using UK panel data.

The authors derive distributional effects for a non-cooperative alternative to the unitary model of household behaviour.

We report on a data initiative that is designed to address the question of 'who gets what' within the household. The data consist of supplements to the Danish Household Expenditure Survey (DHES), which is a traditional nationally representative diary-based survey of expenditures.

This paper looks at how households in temporarily straitened circumstances due to an unemployment spell cut back on expenditure.

This paper looks at how best to cope with measurement in error survey responses.

This paper uses revealed preference inequalities to provide tight nonparametric bounds on consumer responses to price changes.

Exploring alternative GMM estimators.

We consider the measurement of the cost of job displacement.