Abstract
The paper aims to explore how the Great Recession of the twenty-first century has impacted on the consumption behaviour of Italian households. Following a hierarchical approach, the study investigates differences in consumption behaviour at both household and regional levels. Using micro data on Italian Household Expenditure for the years 2002, 2006, 2010 and 2012, multilevel and two-step regression models have been estimated. The analysis has been performed for four different consumption categories: food, housing, work-related and leisure. The analysis reveals that the economic crisis led to increasing income elasticity for each category of consumption, especially for food, the most essential basic good. The crisis also created more marked regional disparities in the average level of expenditure.
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Notes
Actually, Italian regions are 20, but in the case of HBS the Italian Office of Statistic (ISTAT) provides aggregated data for Piedmont and Valle d’Aosta..
INCOME is proxied by the total expenditure.
This hypothesis has been statistically tested by estimating the equation relating to elasticities with the irregular ratio as independent variable, but the relative parameter was not statistically significant.
References
Achen, C. H. (2005). Two-step hierarchical estimation: Beyond regression analysis. Political Analysis, 13(4), 447–456.
Aguiar, M., & Hurst, E. (2013). Deconstructing life cycle expenditure. Journal of Political Economy, 121(3), 437–492.
Arpino, B., & Aassve, A. (2013). The role of villages in households’ poverty exit: Evidence from a multilevel model for rural Vietnam. Quality & Quantity, 48(4), 2175–2189.
Arrondel, L., Savignac, F., & Tracol, K. (2014). Wealth and consumption: French households in the crisis. International Journal of Central Banking, 10(3), 163–204.
Aydiner Boylu, A., Öztop, H., & Terzolu, G. (2012). Impact of an economic crisis on the lifestyle of families in Ankara. The Indian Journal of Social Work, 73(1), 95–122.
Ballester, R., Velazco, J., & Rigall-I-Torrent, R. (2015). Effects of the great recession on immigrants’ household consumption in Spain. Social Indicators Research, 123, 771–797.
Bank of Italy. (2013). Annual report. Roma: Bank of Italy.
Bernini, C., Cracolici, M.F., & Cuffaro, M. (2015). Inequalities in consumption patterns over the life cycle and the Great Recession. In Proceedings SIS 2015 statistical conference. Statistics and demography: The legacy of Corrado Gini, 9–11 September, Treviso, Italy.
Bock, R. D. (1989). Multilevel analysis of educational data. New York: Academic Press.
Bono, F., Cuffaro, M., & Giaimo, R. (2007). Regional inequalities in consumption patterns: A multilevel approach to the case of Italy. International Statistical Review, 75(1), 44–57.
Browne, W. J., & Draper, D. (2000). Implementation and performance issues in the Bayesian fitting of multilevel models. Computational Statistics, 15, 391–420.
Celidoni, M., De Nadai, M., & Weber, G. (2015). Consumption during the great recession in Italy. Mimeo: Department of Economics and Management, Padua University.
Crossley, T., Hamish, L., & O’Dea, C. (2013). Household consumption through recent recessions. Fiscal Studies, 34(2), 203–229.
Elhorst, P., & Zeilstra, A. S. (2007). Labour force participation rates at the regional and national levels of the European Union: An integrated analysis. Papers in Regional Science, 86(4), 525–549.
Estiri, H., Gabriel, R., Howard, E., & Wang, L. (2013). Different regions, differences in energy consumption: Do regions account for the variability in household energy consumption? Working Paper No. 134. Center for statistics and the social sciences, University of Washington.
Fahrmeir, L., & Tutz, G. (1994). Multivariate statistical modelling based on generalized linear models. New York: Springer-Verlag.
Fazio, G., & Piacentino, D. (2010). A spatial multilevel analysis of Italian SMEs’ productivity. Spatial Economic Analysis, 5(3), 1742–1780.
Franzese, R. J. (2005). Empirical strategies for various manifestations of multilevel data. Political Analysis, 13(4), 430–446.
Goldstein, H. (2003). Multilevel statistical models (3rd ed.). London: Hodder Arnold.
Guerin, D., Crete, J., & Mercier, J. (2001). A multilevel analysis of the determinants of recycling behavior in the European Countries. Social Science Research, 30, 195–218.
Han, S., Kim, H., & Lee, H. S. (2013). A multilevel analysis of the compositional and contextual Association of social capital and subjective well-being in Seoul, South Korea. Social Indicators Research, 111, 185–202.
Haughton, D. M., & Nguyen, P. (2010). Multilevel models and inequality in Vietnam. Journal of Data Science, 8, 289–306.
Jusko, K. L., & Shively, W. P. (2005). Applying a two-step strategy to the analysis of cross-national public opinion data. Political Analysis, 13(4), 327–344.
Lewis, J. B., & Linzer, D. A. (2005). Estimating regression models in which the dependent variable is based on estimates. Political Analysis, 13(4), 345–364.
Petev, I., Pistaferri, L., & Eksten, I. (2011). Consumption and the great recession: An analysis of trends, perceptions, and distributional effects. Mimeo: Stanford University.
Raudenbush, S., & Bryk, A. S. (1986). A hierarchical model for studying school effects. Sociology of Education, 59(1), 1–17.
Rivellini, G., & Zaccarin, S. (2002). Multilevel analysis in social research: An application of cross-classified model. Statistical Methods and Application, 14, 95–108.
Rodano, L., & Rondinelli, C. (2014). The Italian household consumption: A comparison among recessions. Politica Economica, 2–3, 203–234.
Rondinelli, C. (2014). On the structure of Italian households: Consumption patterns during the recent crises. Politica Economica, 2–3, 235–260.
Subramanian, S. V., Kawachi, I., & Kennedy, B. P. (2001). Does the state you live in make a difference? Multilevel analysis of self-rated health in the US. Social Science and Medicine, 53, 9–19.
Whelan, C. T., Russell, H., & Maître, B. (2016). Economic stress and the great recession in Ireland: Polarization, individualization or ‘middle class squeeze’? Social Indicators Research, 126, 503–526.
Zeilstra, A. S., & Elhorst, P. (2014). Integrated analysis of regional and national unemployment differentials in the European Union. Regional Studies, 48(10), 1739–1755.
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Bono, F., Cracolici, M.F. & Cuffaro, M. A Hierarchical Model for Analysing Consumption Patterns in Italy Before and During the Great Recession. Soc Indic Res 134, 421–436 (2017). https://doi.org/10.1007/s11205-016-1441-z
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DOI: https://doi.org/10.1007/s11205-016-1441-z