Assessing Economic Complexity with Input-Output Based Measures



A brief description of this measure is presented here, closely following the work of
Amaral et al. (2007).

Consider a system represented by a square matrix A, of order N and with all values non
negative. A part of the system of order
m (m = 1, ..., N-1), is a square block A* of order m,
which has its main diagonal formed by
m elements of the main diagonal of A.

Let A* be a part of the system. For example:

A*


a11   a12


a21   a22


A* can be considered a sub-system of system A. This sub-system is the more
autonomous (or, equivalently, the less dependent) the greater the values of its elements (
a11 ,
a12 , a21 , a22) relative to the elements (a1j , a2j , aj1 aj2), for all j>2.

In order to measure the greater or lesser autonomy of the sub-system A*, the degree of
autonomy of sub-system
A* can be defined as:

Ga (A*)


IA1

IA *1+1A **ll+11 a ***ll

where ∣∣M∣∣ represents the “sum of the elements of matrix M”, A** is the block of all the
elements of the columns belonging to
A* with the exception of the elements of A*, and A***
represents the same thing for the rows. For example, if A* is the block defined above:

10



More intriguing information

1. Estimating the Technology of Cognitive and Noncognitive Skill Formation
2. The name is absent
3. Perceived Market Risks and Strategic Risk Management of Food Manufactures: Empirical Results from the German Brewing Industry
4. The name is absent
5. Education and Development: The Issues and the Evidence
6. CAN CREDIT DEFAULT SWAPS PREDICT FINANCIAL CRISES? EMPIRICAL STUDY ON EMERGING MARKETS
7. The Making of Cultural Policy: A European Perspective
8. The name is absent
9. The name is absent
10. Volunteering and the Strategic Value of Ignorance