2005
DOI: 10.2139/ssrn.544402
|View full text |Cite
|
Sign up to set email alerts
|

How to Measure the Unobservable: A Panel Technique for the Analysis of TFP Convergence

Abstract: This paper proposes a fixed-effect panel methodology based on Islam (2000) to assess the existence of technology convergence across the Italian regions between 1963 and 1993. Our results find strong support to both the presence of TFP heterogeneity across Italian regions and to the hypothesis that TFP convergence has been a key factor in the process of aggregate regional convergence observed in Italy up to the mid-seventies. However, this period of TFP convergence has not generated a significant, persistent de… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

1
35
0
1

Year Published

2007
2007
2018
2018

Publication Types

Select...
7
1

Relationship

1
7

Authors

Journals

citations
Cited by 29 publications
(37 citation statements)
references
References 71 publications
(21 reference statements)
1
35
0
1
Order By: Relevance
“…On the one hand, the panel data approach has been employed to account for unobservable and unmeasurable cross-section specific characteristics such as the initial level of technology, taking potential omitted variable bias problem into account by allowing for technological differences across regions in the form of individual effects [4,5]. On the other hand, an increasing number of empirical studies have begun to adopt the spatial econometric approach to the question of regional income convergence in order to explicitly consider the role of spatial effects in regional income convergence [2,[6][7][8].…”
Section: Introductionmentioning
confidence: 99%
“…On the one hand, the panel data approach has been employed to account for unobservable and unmeasurable cross-section specific characteristics such as the initial level of technology, taking potential omitted variable bias problem into account by allowing for technological differences across regions in the form of individual effects [4,5]. On the other hand, an increasing number of empirical studies have begun to adopt the spatial econometric approach to the question of regional income convergence in order to explicitly consider the role of spatial effects in regional income convergence [2,[6][7][8].…”
Section: Introductionmentioning
confidence: 99%
“…Following a methodology firstly suggested by Islam (1995) and further extended by Di Liberto et al (2008), in this paper we focus on TFP di/convergence across European regions assessing the presence of TFP heterogeneity and dynamics by means of a fixed-effects panel estimator in a standard convergence equation framework. 1 One of the main features of this approach is that it makes possible to examine (likely) cases in which TFP differences in levels are not constant since it allows to estimate TFP at different points in time and test directly for the presence of TFP convergence.…”
Section: Introductionmentioning
confidence: 99%
“…Although the degree of regional inequality in Italy is among the highest across all the EU countries (Di Liberto et al, 2005), it may have no effect on prices and public services of tourist resorts in Italy. Indeed, accommodation prices do not seem to be influenced to a great extend by regional differences in earning power, as a simple correlation between accommodation prices and the consumer price index based on the data on earning power (istat, 2006) demonstrates (with a correlation coefficient of about -0.19).…”
Section: Data Sources and Choice Of Variablesmentioning
confidence: 99%