Author:
Brzozowska‑Rup Katarzyna,Chrzanowska Mariola,Piotrowska‑Piątek Agnieszka,Sobieraj Małgorzata,Kozłowski Maciej
Abstract
The goal of the article is to explore the potential of explicatory Structural Equation Modelling (SEM) and its specifications for measuring the shadow economy (SE). This is done from the perspective of various approaches in selected countries. The article is a review and conceptual paper. The study is divided into three stages: a comprehensive description of the nature of the SE and the difficulties associated with measuring it; a comparative analysis of the approaches applied in selected EU countries (with particular emphasis on Italy and Poland), and finally, the concept of SE estimation based on SEM model is proposed.
One of the most important limitations regarding the SE is that it is not possible to measure the extent of this phenomenon directly. This leads to the use of non‑standard estimation techniques based on latent variable models. The innovation of this approach is that it considers three factors that are not directly observable, i.e., tax morality, concealing salaries, and regulation of the economy.
The proposed model allows us to capture and explain empirical SE phenomena more precisely and effectively than with classical statistical and econometric methods. However, we are aware that it is highly probable that many SEMs will need to be tested and modified to achieve the final result.
Publisher
Uniwersytet Lodzki (University of Lodz)
Reference41 articles.
1. Aigner, D.J., Schneider, F., Ghosh, D. (1988), Me and my shadow: estimating the size of the U.S. hidden economy from time series data, [in:] W.A. Barnett, E.R. Berndt, H. White (eds.), Dynamic Econometric Modelling. Proceedings of the Third International Symposium in Economic Theory and Econometric, Cambridge University Press, Cambridge, pp. 297–334, https://doi.org/10.1017/CBO9780511664342.015
2. Błasiak, Z.A. (2018), Przydatność metod ekonometrycznych w badaniach nad szarą strefą, “Roczniki Ekonomii i Zarządzania”, 10 (2), pp. 134–175, https://doi.org/10.18290/reiz.2018.10.2-10
3. Bollen, K.A. (1989), Structural Equations with Latent Variables, John Wiley & Sons, New York–Chichester–Brisbane–Toronto–Singapore, https://doi.org/10.1002/9781118619179
4. Breusch, T. (2005), Estimating the Underground Economy using MIMIC Models, “Working Paper”, Canberra, https://econwpa.ub.uni-muenchen.de/econ-wp/em/papers/0507/0507003.pdf (accessed: 30.08.2019).
5. Buehn, A., Schneider, F. (2008), MIMIC Models, Cointegration and Error Correction: An Application to the French Shadow Economy, “IZA Discussion Paper”, 3306, https://doi.org/10.2139/ssrn.1135882