Aggregation biases in empirical Euler consumption equations: evidence from Spanish data

Autor: Juan A. Sanchis-Llopis, Antonio Cutanda, José M. Labeaga
Rok vydání: 2018
Předmět:
Zdroj: Empirical Economics. 58:957-977
ISSN: 1435-8921
0377-7332
DOI: 10.1007/s00181-018-1571-z
Popis: This paper investigates the implications of aggregation in empirical analyses of Euler equations for consumption. We compare the results obtained after estimating the same model using total and non-durable microeconomic consumption data, from the maximum aggregation level (Spanish National Accounts) to household data from the Spanish Expenditure Survey (Encuesta Continua de Presupuestos Familiares). We use this survey to build cohort and aggregate data to test the model using different aggregate measures for consumption. The results we obtain confirm the theoretical predictions summarised in Blundell and Stoker (J Econ Lit 43:347–391, 2005. https://doi.org/10.1257/0022051054661486) as well as in previous empirical evidence, i.e. aggregation turns out to be crucial to empirically study Euler equations for consumption (Attanasio and Weber in Rev Econ Stud 60:631–649, 1993. https://doi.org/10.2307/229812) or when simulating real business cycle models (Guvenen in J Monet Econ 53:1451–1472, 2006. https://doi.org/10.1016/j.jmoneco.2005.06.001). The estimated elasticity of intertemporal substitution (EIS) with aggregated data is biased as compared with the corresponding estimate using microeconomic data. Further, we find that the size of the bias increases with the level of aggregation. Finally, our estimates confirm Hall (J Polit Econ 96:339–357, 1988. http://dx.doi.org/10.2139/ssrn.2704067) result that the EIS is not statistically different from zero, unless panel data are used.
Databáze: OpenAIRE
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