PyIO: Input-Output Analysis with Python

This is a User Manual about PyIO, an Input-Output analysis tool using Python. Up to date software is available from the Regional Economics Applications Laboratory (University of Illinois at Urbana-Champaign) homepage. http://www.uiuc.edu/unit/real/

OUTPUT CHANGE IN U.S. AGRICULTURE: AN INPUT-OUTPUT ANALYSIS

This paper analyzes output changes in the U.S. agricultural economy from 1972 to 1977 using a 477-sector input-output framework. The empirical model is based on benchmark input-output data from the U.S. Bureau of Economic analysis for 1972 and 1977. Output changes were decomposed into components attributable to technical change, domestic final demand change, export demand change and import substitution. A major advantage of the decomposition is its ability to identify the output change in a given sector due to general equilibrium effects in all sectors.Import substitution, Input-output, Output change, Technical change, Production Economics,

An input-output analysis: linkages vs leakages

Resorting to input-output analysis, intersectoral linkages are investigated. For such assessment, the distinction between imported and domestically supplied inputs, which has been disregarded so far in empirical analysis, is crucial. Besides improving the measurement of domestic linkages, it also allows to evaluate the importance of international trade in the production process. Moreover, the interaction between domestic linkages and leakages resulting from international trade can also be analysed. Using as case study a small open economy, the Portuguese one, we assess sectoral interdependence and trade effects for individual sectors as well as for the economy as a whole.