Laura Blow

Dr Laura Blow


Associate Professor
+441483686952
13:30-15:30 Mondays, Weeks 1-11

About

Areas of specialism

Applied microeconomics; Consumption choices; Revealed preference; Behavioural economics

Research

Research interests

Publications

Laura Blow, Valérie Lechene, Peter Levell (2019)Using the CE to Model Household Demand, In: Christopher D Carroll, Thomas F Crossley, John Sabelhaus (eds.), Improving the Measurement of Consumer Expenditurespp. 141-178 University of Chicago Press
Adriaan S Kalwij, Stephen Machin, Laura Blow, Marijke van Deelen, Frangois Gardes, Maria-Jose Luengo-Prado, Javier Ruiz-Castillo, John Schmitt, Christophe Starzec (2022)Comparative Service Consumption in Six Countries, In: Mary Gregory, Weimer Salverda, Ronald Schettkat (eds.), Services and Employmentpp. 109-140 Princeton University Press
Laura Blow, Martin Browning, Ian Crawford (2021)Non-parametric Analysis of Time-Inconsistent Preferences, In: The Review of economic studies88(6)pp. 2687-2734 Oxford Univ Press

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.

TKM Beatty, LE Blow, TF Crossley (2014)Is there a ‘heat-or-eat’ trade-off in the UK?, In: Journal of the Royal Statistical Society: Series A (Statistics in Society)177(1)pp. 281-294 Wiley

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.

TKM Beatty, LE Blow, TF Crossley, C O'Dea (2014)Cash by any other name? Evidence on labeling from the UK Winter Fuel Payment, In: Journal of Public Economics118pp. 86-96 Elsevier B.V.

Government transfers to individuals are often given labels indicating that they are designed to support the consumption of particular goods. Standard economic theory implies that the labeling of cash transfers or cash-equivalents should have no effect on spending patterns. We study the UK Winter Fuel Payment, a cash transfer to older households. Our empirical strategy nests a regression discontinuity design within an Engel curve framework. We find robust evidence of a behavioral effect of labeling. On average households spend 47% of the WFP on fuel. If the payment were treated as cash, we would expect households to spend 3% of the payment on fuel.

Laura Blow, Martin Browning, Ian Crawford (2020)Nonparametric Analysis of Time-Inconsistent Preferences, In: Review of Economic Studies Oxford University Press

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.

Additional publications