Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/26245
Authors: 
Bühn, Andreas
Schneider, Friedrich G.
Year of Publication: 
2008
Series/Report no.: 
CESifo working paper 2200
Abstract: 
The analysis of economic loss attributed to the shadow economy has attracted much attention in recent years by both academics and policy makers. Often, multiple indicators multiple causes (MIMIC) models are applied to time series data estimating the size and development of the shadow economy for a particular country. This type of model derives information about the relationship between cause and indicator variables and a latent variable, here the shadow economy, from covariance structures. As most macroeconomic variables do not satisfy stationarity, long run information is lost when employing first differences. Arguably, this shortcoming is rooted in the lack of an appropriate MIMIC model which considers cointegration among variables. This paper develops a MIMIC model which estimates the cointegration equilibrium relationship and the error correction short run dynamics, thereby retaining information for the long run. Using France as our example, we demonstrate that this approach allows researchers to obtain more accurate estimates about the size and development of the shadow economy.
Subjects: 
shadow economy
tax burden
regulation
unemployment
cointegration
error correction models
MIMIC models
JEL: 
O17
O5
D78
H2
H11
H26
Document Type: 
Working Paper

Files in This Item:
File
Size
348.18 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.