Common Factors, spatial dependence, and regional growth in the Italian manufacturing industry
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Cited by:
- Di Iorio, Francesca & Fachin, Stefano, 2021.
"Evaluating restricted common factor models for non-stationary data,"
Econometrics and Statistics, Elsevier, vol. 17(C), pages 64-75.
- Francesca Di Iorio & Stefano Fachin, 2017. "Evaluating Restricted Common Factor models for non-stationary data," DSS Empirical Economics and Econometrics Working Papers Series 2017/2, Centre for Empirical Economics and Econometrics, Department of Statistics, "Sapienza" University of Rome.
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Keywords
Cross-sectional dependence; approximate factor models; dynamic spatial panel models; Italy; manufacturing industries.;All these keywords.
JEL classification:
- C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
- C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
- N13 - Economic History - - Macroeconomics and Monetary Economics; Industrial Structure; Growth; Fluctuations - - - Europe: Pre-1913
- N63 - Economic History - - Manufacturing and Construction - - - Europe: Pre-1913
- N93 - Economic History - - Regional and Urban History - - - Europe: Pre-1913
NEP fields
This paper has been announced in the following NEP Reports:- NEP-GEO-2017-03-19 (Economic Geography)
- NEP-HIS-2017-03-19 (Business, Economic and Financial History)
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