Productivity, Efficiency and Learning-by-Doing in Italy

This page is UNDER CONSTRUCTION but you can study the graphic, the State Space model outputs and the Wikipedia links below. 

 

Notes

You can run the ITL20 Model in R-code (here). For more of my posts see Blog Roll: Italy, the Boiler Plate and the Introduction to State Space Models.

Questions

1. If Italy becomes a Steady-State Economy, how will Technological Change be affected? Will the Learning-by-Doing coefficient (F[1,1])) remain the same in a Steady-State Economy?

Wikipedia Links

• Economy of Italy a highly developed social market economy. It is the third-largest national economy in the European Union, the 8th-largest economy in the world by nominal GDP, and the 12th-largest by PPP-adjusted GDP.
• Politics of Italy  conducted through a parliamentary republic with a multi-party system. Italy has been a democratic republic since 2 June 1946, when the monarchy was abolished by popular referendum and a constituent assembly, formed by the representatives of all the anti-fascist forces that contributed to the defeat of Nazi and Fascist forces during the liberation of Italy, was elected to draft a constitution, which was promulgated on 1 January 1948.
• History of Italy inhabited by humans since the Paleolithic. During antiquity, there were many peoples in the Italian peninsula, including Etruscans, Latins, Samnites, Umbri, Cisalpine Gauls, Greeks in Magna Graecia and others. Most significantly, Italy was the cradle of the Roman civilization.
• Geography of Italy includes the description of all the physical geographical elements of Italy. Italy, whose territory largely coincides with the homonymous geographical region, is located in southern Europe and comprises the long, boot-shaped Italian Peninsula crossed by the Apennines, the southern side of Alps, the large plain of the Po Valley and some islands including Sicily and Sardinia. 

IT1 AIC Statistics

TECHE (Technical Efficiency) Model

TECHP (Technical Productivity) Model

TECHP (Technical Productivity) Model

In State-Space DCM Models, the Learning-by-Doing Technological Change coefficient is F[1,1] = 0.9689753. The BAU model is stable and has a stronger impact of growth than either the TECHE or TECHP models (graphic above).