1
Assistant Professor, Alzahra University, Tehran, Iran
2
Associate Professor, Allameh Tabataba`i University, Tehran, Iran
3
M.A in Economics
Abstract
Modern location quotient method (MLQM) is used to generate regional input-output coefficients (RIOCs). It has a number of functions which one should take into account in generating RIOCs and for statistical testing. The prerequisite for such statistical testing is the availability of survey- based RIOCs. This then raises the following important question: In the absence of survey based RIOCs, is it possible to apply MLQM for generating RIOCs for country like Iran? If yes, how to test the derived coefficients statistically? To answer that, we propose a new method for statistical testing through minimizing total errors using Ghosh supply side model.
Bazzazan, F., Banouei, A. A., & Karami, M. (2007). The Modern Location Quotient Function, Spatial Dimension, And Regional Input-Output Coefficients: The Case of Tehran Province. Iranian Journal of Economic Research, 9(31), 27-53.
MLA
Bazzazan, F., Banouei, A. A., & Karami, M. "The Modern Location Quotient Function, Spatial Dimension, And Regional Input-Output Coefficients: The Case of Tehran Province", Iranian Journal of Economic Research, 9, 31, 2007, 27-53.
HARVARD
Bazzazan F., Banouei A. A., Karami M. (2007). 'The Modern Location Quotient Function, Spatial Dimension, And Regional Input-Output Coefficients: The Case of Tehran Province', Iranian Journal of Economic Research, 9(31), pp. 27-53.
CHICAGO
F. Bazzazan, A. A. Banouei & M. Karami, "The Modern Location Quotient Function, Spatial Dimension, And Regional Input-Output Coefficients: The Case of Tehran Province," Iranian Journal of Economic Research, 9 31 (2007): 27-53,
VANCOUVER
Bazzazan F., Banouei A. A., Karami M. The Modern Location Quotient Function, Spatial Dimension, And Regional Input-Output Coefficients: The Case of Tehran Province. Iranian Journal of Economic Research. 2007;9(31):27-53 (In Persian).