G2TT
来源类型Working Paper
规范类型报告
DOI10.3386/t0253
来源IDTechnical Working Paper 0253
Estimating Euler Equations
Orazio P. Attanasio; Hamish Low
发表日期2000-05-01
出版年2000
语种英语
摘要In this paper we consider conditions under which the estimation of a log-linearized Euler equation for consumption yields consistent estimates of the preference parameters. When utility is isoelastic and a sample covering a long time period is available, consistent estimates are obtained from the log-linearized Euler equation when the innovations to the conditional variance of consumption growth are uncorrelated with the instruments typically used in estimation. We perform a Montecarlo experiment, consisting in solving and simulating a simple life cycle model under uncertainty, and show that in most situations, the estimates obtained from the log-linearized equation are not systematically biased. This is true even when we introduce heteroscedasticity in the process generating income. The only exception is when discount rates are very high (47% per year). This problem arises because consumers are nearly always close to the maximum borrowing limit: the estimation bias is unrelated to the linearization. Finally, we plot life cycle profiles for the variance of consumption growth, which, except when the discount factor is very high, is remarkably flat. This implies that claims that demographic variables in log-linearized Euler equations capture changes in the variance of consumption growth are unwarranted.
主题Macroeconomics ; Consumption and Investment
URLhttps://www.nber.org/papers/t0253
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/565237
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GB/T 7714
Orazio P. Attanasio,Hamish Low. Estimating Euler Equations. 2000.
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