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This paper explores the statistical properties of household consumption-expenditure budget share distributions defined as the share of household total expenditure spent for purchasing a specific category of commodities for a large sample of Italian households in the period 1989-2004. We find...
Persistent link: https://www.econbiz.de/10003867022
This work explores some distributional properties of aggregate output growth-rate time series. We show that, in the majority of OECD countries, output growth-rate distributions are well-approximated by symmetric exponential-power densities with tails much fatter than those of a Gaussian. Fat...
Persistent link: https://www.econbiz.de/10003376221
Persistent link: https://www.econbiz.de/10003951651
This paper explores the statistical properties of household consumption-expenditure budget shares distributions (HBSDs) - defined as the share of household total expenditure spent for purchasing a specific category of commodities - for a large sample of Italian households in the period...
Persistent link: https://www.econbiz.de/10008729580
This paper explores the statistical properties of household consumption-expenditure budget shares distributions (HBSDs) defined as the share of household total expenditure spent for purchasing a specific category of commodities for a large sample of Italian households in the period 1989-2004. We...
Persistent link: https://www.econbiz.de/10003875549
Persistent link: https://www.econbiz.de/10009573764
Persistent link: https://www.econbiz.de/10009502129
Persistent link: https://www.econbiz.de/10011308636
Recent empirical findings suggest that macroeconomic variables are seldom normally distributed. For example, the distributions of aggregate output growth-rate time series of many OECD countries are well approximated by symmetric exponential-power (EP) densities, with Laplace fat tails. In this...
Persistent link: https://www.econbiz.de/10009519782
This note discusses some problems possibly arising when approximating via MonteCarlo simulations the distributions of goodness-of-fit test statistics based on the empirical distribution function. We argue that failing to reestimate unknown parameters on each simulated Monte-Carlo sample - and...
Persistent link: https://www.econbiz.de/10003746039