Why is consumption more log normal than income? Gibrat's law revisited

By Erich Battistin, Richard Blundell, Arthur Lewbel. 2007

136 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/ff18db6b0c9668223294b735941bb1de6a729e3c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

In Sociology and Political Science

Citations in the corpus

Structural Change With Long‐Run Income and Price Effects (2015, unknown): “…in the standard deviation of the logarithm of consumption expenditure, if the latter has a symmetric distribution such as the log-normal distribution (see Battistin et al., 2009, for evidence for the log-normality of the distribution of total consumption expenditure across households).”
Consumption, Income and Earnings Inequality in Britain (2010, background): “9 It should also be noted that log consumption is close to normally distributed, see Battistin et al. (2009).”
Consumption, Income, and Wealth Inequality in Canada (2010, background): “In our data, the cross-sectional distribution of consumption is much closer to log-normal than that of income, much like Battistin et al. (2007) find in U.S. and U.K. data.”
Consumption and Saving: Models of Intertemporal Allocation and Their Implications for Public Policy (2010, unknown): “” Battistin et al. (2009), who use Italian data, estimate at 9.”
Skewness and kurtosis properties of income distribution models (2013, unknown): “Battistin et al. (2009) used the lognormal to compare the distribution of Note: The authors appreciate the assistance of the Luxembourg Income Study Group in providing the data used in the application in this paper.”
The Double Power Law in Consumption and Implications for Testing Euler Equations (2015, methodology): “Brav et al. (2002) and Cogley (2002) employ linearized versions of the sample analog of the IMRS stochastic discount factor.”
Earnings, consumption and lifecycle choices (2010, background): “consumption (Jappelli and Pistaferri, 2006); and the fact that the consumption distribution is more lognormal than the income distribution (Battistin et al., 2009).”