Il lavoro irregolare in Italia: un'analisi panel regionale

Lisi, Gaetano (2009): Il lavoro irregolare in Italia: un'analisi panel regionale.

Abstract

This empirical paper investigates two important and controversial economic relationship: the link between underground employment and unemployment, and the connection among underground economy and local factors. The key results of this analysis are two. The first: the causality relationship between underground employment and unemployment is bidirectional and asymmetric. The second: the local and unobservable variables play an instrumental role in explaining the different underground activity rates recorded in the Italian regions.

• Item Type: MPRA Paper
• English Title: Underground Employment in the Regions of Italy: A Panel Analysis
• Language: Italian
• Keywords: underground employment; panel models; underground economy
• Subjects: O - Economic Development, Innovation, Technological Change, and Growth > O1 - Economic Development > O17 - Formal and Informal Sectors ; Shadow Economy ; Institutional Arrangements; C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C23 - Panel Data Models ; Spatio-temporal Models; E - Macroeconomics and Monetary Economics > E2 - Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy > E26 - Informal Economy ; Underground Economy

References

Amemiya, T. e MaCurdy, T. E. (1986). Instrumental Variable Estimation of an Error Components Models. Econometrica, 54, 869-881;

Amendola, A., e Dell’Anno, R. (2008). Istituzioni, Disuguaglianza ed Economia Sommersa: quale relazione ? Quaderno n. 24/2008, Dipartimento di Scienze Economiche, Matematiche e Statistiche; Università degli Studi di Foggia;

Anderson, T. W., e Hsiao, C. (1981). Estimation of Dynamic Models with Error Components. Journal of the American Statistical Association, 76, 598-606;

Arellano, M. (1989). A Note on the Anderson-Hsiao Estimator for Panel Data. Economics Letters, vol. 31(4), 337-341;

Arellano, M., e Bond, S. (1991). Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations. Review of Economic Studies, 58, 277-297;

Baltagi, B. H., e Griffin, J. M. (1984). Short and Long Run Effects in Pooled Models. International Economic Review, vol. 25(3), 631-45;

Baltagi, B. H. (2008). Econometric Analysis of Panel Data (fourth edition). John Wiley and Sons, New York;

Boeri, T., e Garibaldi, P. (2002). Shadow Activity and Unemployment in a Depressed Labour Market, CEPR Discussion Paper, n. 3433;

Boeri, T., e Garibaldi, P. (2006). Shadow Sorting. Fondazione Collegio Carlo Alberto Working Paper Series, n. 10;

Bovi, M., e Dell’Anno, R. (2007). The Changing Nature of the OECD Shadow Economy. ISAE Working Paper, n. 81;

Breusch, T., Mizon, G., e Schmidt, P. (1989). Efficient Estimation Using Panel Data. Econometrica, 57, 695-700;

Breusch, T. (2005). Estimating the underground economy using MIMIC models. Working Paper University of Canberra, Australia;

Busato, F., e Chiarini, B. (2004). Market and Underground Activities in a Two Sector Dynamic Equilibrium Model. Economic Theory, 23(4): 831-861;

Cappariello, R., and Zizza, R. (2009). Dropping the Books and Working Off the Books. Temi di discussione, Working Papers, Ufficio Studi Banca d’Italia, n. 702;

Daniele, V., e Marani, U. (2008). Criminalità e investimenti esteri. Un’analisi per le province italiane. Working Paper, Università Magna Graecia di Catanzaro;

Dell’Anno, R. (2003). Estimating the Shadow Economy in Italy: a Structural Equation Approach, Working Paper No. 2003-07, University of Aarhus;

Dell’Anno, R., e Schneider, F. (2003). The Shadow Economy of Italy and Other OECD Countries: What do We Know ? Journal of Public Finance and Public Choice, XXI (2-3), 97-120;

Eilat Y., e Zinnes, C. (2000). The Evolution of the Shadow Economy in Transition Countries: Consequences for Economic Growth and Donor Assistance. CAER II Discussion Paper No. 83. Harvard Institute for International Development;

Friedman, E., Johnson, S., Kaufmann, D., e Zoido-Lobaton, P. (2000). Dodging the Grabbing Hand: the Determinants of Unofficial Activity in 69 Countries. Journal of Public Economics, 76, 459-493;

Fugazza, M., e Jacques, F. (2004). Labor Market Institutions, Taxation and the Underground Economy. Journal of Public Economics, 88;

Giles D. E. A., e Tedds, L. M. (2002). Taxes and the Canadian Underground Economy. Canadian Tax paper n.106. Canadian Tax Foundation;

Golinelli, R., e Bontempi, M. E. (2007). Panel Data Econometrics: Theory and Applications in STATA, mimeo;

Hausman, J. (1978). Specification Tests in Econometrics. Econometrica, 46, 1251-1271;

Hausman J., Taylor W., (1981). Panel Data and Unobservable Individual Effect. Econometrica, 49, 1377-1398;

ISTAT (2005). La misura dell’economia sommersa secondo le statistiche ufficiali;

ISTAT (2008). La misura dell’occupazione non regolare nelle stime di contabilità nazionale;

Johnson, S., Kaufmann, D., e Zoido-Lobaton, P. (1998). Regulatory Discretion and the Unofficial Economy. American Economic Review, 88 (2);

Johnson, S., Kaufmann, D., e Zoido-Lobaton, P. (1999). Corruption, Public Finances, and the Unofficial Economy. Policy Research Working Paper Series, 2169;

Johnson, S., Kaufmann, D., McMillan, J., e Woodruff, C. (2000). Why do Firms Hide ? Bribes and Unofficial Activity after Communism. Journal of Public Economics, 76: 495-520;

Judson, R. A., e Owen, A. L. (1999). Estimating Dynamic Panel Data Models: a Guide for Macroeconomists. Economics Letters, 65(1), 9-15 (October);

Lucifora, C. (2003). Economia sommersa e lavoro nero. Il Mulino, Bologna;

Marini D., e Turato, F. (2002). Nord-Est e Mezzogiorno: nuove relazioni, vecchi stereotipi. Rapporti Formez-Fondazione Nord-Est, aprile;

Marselli, R., e Vannini, M. (2000). Quanto incide la disoccupazione sui tassi di criminalità ? Rivista di Politica Economica, 273-299.

Sarte, P.D. G. (2000). Informality and Rent-seeking Bureaucracies in a Model of Long run Growth. Journal of Monetary Economics, Vol. 46, pp.173-197;

Schneider, F., e Enste, D. H. (2000). Shadow Economies: Size, Causes and Consequences. Journal of Economic Literature, 38 (1), 77-114;

Schneider, F. (2007). Shadow Economies and Corruption All Over the World: New Estimates for 145 Countries. Economics e-Journal, n. 2007-9 (July);

Schneider, F., e Torgler, B. (2007). Shadow Economy, Tax Morale, Governance and Institutional Quality: A Panel Analysis. Working Paper University of Linz, n. 0701;

Tanzi, V. (1988). Corruption around the World: Causes, Consequences, Scope and Cures. IMF Working Paper, Washington, D.C., n. 63;

Tanzi, V. (1999). Uses and Abuses of Estimates of the Underground Economy. The Economic Journal, 109 (June), pp. 338-347;

Van Dijk, J. (2006). Organized Crime and Collective Victimization. Paper for International Conference on Corruption and Organized Crime: Bridging Criminal and Economic Policies, June 23-24, 2006, Center for the Study of Democracy, Sofia, Bulgaria;

Wooldridge, J. M. (2002). Econometric Analysis of Cross Section and Panel Data. MIT Press;