In this paper, we analyze firms' pricing behavior using a full informative micro dataset that accounts for a large part of Italian firms. In our view, “the black boxes” to examine are the relations between price setting, market structure and spatial disparities. The paper aims to extend the empirical literature in several directions. A first goal of the research is to investigate the link between heterogeneity in price changes and spatial dependence. Besides, we compare the price dynamics among sectors, namely manufacturing vs. service. It is irrefutable that prices stickiness is linked to good market rigidities. Consequently, these issues have extremely important policy implications; for instance, the Monetary Authority considers the macro price indexes in order to determine the right policy to stabilize the economy and to improve social welfare. However, the Central Bank does not distinguish the likely aggregation bias source from the cross sector–region–country heterogeneities. Overall, the purpose of this paper is to provide an analysis of survey data that allows us to collect important aspects for Economic Policy analysis, which could not be drawn from analysis with “mesoeconomic” or aggregate data. Finally, we provide empirical evidence that price dynamic heterogeneity across geographical areas, as well as disparities across industries, are statistically significant in our microeconometric models. Indeed, the probability that industries in the backward areas change prices is 30% less than in more developed regions (Northeast). In addition, we find that sectoral diversity counts especially across goods and service industries, even if this outcome is not always robust across microeconometric specifications.

Heterogeneity in price setting behavior, spatial disparities and sectoral diversity: evidence from a panel of Italian firms

Migliardo Carlo
2012-01-01

Abstract

In this paper, we analyze firms' pricing behavior using a full informative micro dataset that accounts for a large part of Italian firms. In our view, “the black boxes” to examine are the relations between price setting, market structure and spatial disparities. The paper aims to extend the empirical literature in several directions. A first goal of the research is to investigate the link between heterogeneity in price changes and spatial dependence. Besides, we compare the price dynamics among sectors, namely manufacturing vs. service. It is irrefutable that prices stickiness is linked to good market rigidities. Consequently, these issues have extremely important policy implications; for instance, the Monetary Authority considers the macro price indexes in order to determine the right policy to stabilize the economy and to improve social welfare. However, the Central Bank does not distinguish the likely aggregation bias source from the cross sector–region–country heterogeneities. Overall, the purpose of this paper is to provide an analysis of survey data that allows us to collect important aspects for Economic Policy analysis, which could not be drawn from analysis with “mesoeconomic” or aggregate data. Finally, we provide empirical evidence that price dynamic heterogeneity across geographical areas, as well as disparities across industries, are statistically significant in our microeconometric models. Indeed, the probability that industries in the backward areas change prices is 30% less than in more developed regions (Northeast). In addition, we find that sectoral diversity counts especially across goods and service industries, even if this outcome is not always robust across microeconometric specifications.
2012
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11570/1947017
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