lq: Simple Location Quotient Updating

Description Usage Arguments Details Value Author(s) References See Also Examples

Description

Uses simple linear quotient technique to update the matrix of technical input coefficients (A)

Usage

1
lq(io)

Arguments

io

An InputOutput class object from as.inputoutput

Details

Uses the simple linear quotient technique as follows:

lq_i = \frac{X_i^r / X^r}{X_i^n / X^n}

where X^n is the total production, X^r is the total production for region r, X^r_i is the production for region r sector i, and X^n_i is the total production for the ith sector.

Then lq is converted such that if lq_i > 1, then lq_i = 1. Then lq is converted into a diagonal matrix of values less than or equal to 1, which gives us our final results

\hat{A} = A lq

Value

Produces the forecast of the matrix of technical input coefficients (A) using the Slq technique.

Author(s)

John J. P. Wade

References

Blair, P.D. and Miller, R.E. (2009). "Input-Output Analysis: Foundations and Extensions". Cambridge University Press

Nazara, Suahasil & Guo, Dong & Hewings, Geoffrey J.D., & Dridi, Chokri, 2003. "PyIO. Input-Output Analysis with Python". REAL Discussion Paper 03-t-23. University of Illinois at Urbana-Champaign. (http://www.real.illinois.edu/d-paper/03/03-t-23.pdf)

See Also

ras

Examples

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jjpwade/ioanalysis documentation built on May 6, 2019, 6:57 p.m.