Assessing Economic Complexity with Input-Output Based Measures



APPENDIX 1. Input-Output Connectedness Measures

Number:

Designation:

Formula:

Proponents:

M1

PINT

,λJ'Ax

100----

i'x

Chenery and Watanable (1958)

M2

AVOM

1 i '( I - A ) -1 i
n

Rasmussen-Hirschman (1958)

M3

PNZC

100∙.v
—-i'Kι
n2

Peacock and Dosser (1957)

M4

MICT

Л7

—i'Ai
n

Jensen and West (1980)

M5

IDET

1

|I - a

Wang(1954)

Lantner(1974)

M6

YAAM

ɪ ɪ
n2
OiYA

Yan and Ames (1963)

M7

DEVA

λ : dominant
eigenvalue of A

Dietzenbacher (1992)

M8

MPLE

ïXÏ
i'y

Finn (1976)
Ulanovicz(1983)

M9

CYCI

~b_
t

Finn (1976)
Ulanovicz(1983)

Mw

APLU

[APL,,
n 2 Z-H
Z-!j      ij

Dietzenbacher (2007)

Mn

CAIA

G ( A ) × H ( A )

A, ,
Abased

Amaral, Dias and Lopes (2007)

M12

CAIL

G ( L ) × H ( L )

Lbased

Amaral, Dias and Lopes (2007)

24



More intriguing information

1. The name is absent
2. A simple enquiry on heterogeneous lending rates and lending behaviour
3. The name is absent
4. Subduing High Inflation in Romania. How to Better Monetary and Exchange Rate Mechanisms?
5. The name is absent
6. The fundamental determinants of financial integration in the European Union
7. Correlation Analysis of Financial Contagion: What One Should Know Before Running a Test
8. The name is absent
9. What Lessons for Economic Development Can We Draw from the Champagne Fairs?
10. Climate change, mitigation and adaptation: the case of the Murray–Darling Basin in Australia