MIMIC Models, Cointegration and Error Correction: An Application to the French Shadow Economy

Andreas Bühn and Friedrich Schneider ()
Authors registered in the RePEc Author Service: Andreas Buehn

No 2200, CESifo Working Paper Series from CESifo

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.

Keywords: shadow economy; tax burden; regulation; unemployment; cointegration; error correction models; MIMIC models (search for similar items in EconPapers)
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (34)

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Working Paper: MIMIC Models, Cointegration and Error Correction: An Application to the French Shadow Economy (2008)
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