ANALYSIS OF SPATIAL DIFFUSION OF HOUSING PRICE CHANGES IN IRANIAN PROVINCES; SPATIAL ECONOMETRICS APPROACH

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TALEBLOU REZA; MOHAMMADI TEYMOUR; PIRDAYEH HADI

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Journal: ECONOMIC RESEARCH REVIEW Year:2017 | Volume:17 | Issue:66 Page(s): 55-95

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Title

ANALYSIS OF SPATIAL DIFFUSION OF HOUSING PRICE CHANGES IN IRANIAN PROVINCES; SPATIAL ECONOMETRICS APPROACH

Author(s)

TALEBLOU REZA | MOHAMMADI TEYMOUR | PIRDAYEH HADI | Issue Writer Certificate

Keywords

DYNAMIC SPATIAL PANEL MODELQ1

CHANGES IN HOUSING PRICESQ1

SPATIAL PANEL MODELQ1

POPULATION SPATIAL WEIGHT MATRICESQ1

MATLAB SOFTWAREQ1

Abstract

Researches in housing sector show that the effect of various economic factors on housing prices might be different in separate areas of a country and housing prices in different regions of the country have internal connections with each other. Modelling of these effects is done in the form of spatial Econometrics. In this study, data related to 28 provinces of Iran during the period 2000 -2013 is used to estimate and compare the dynamic spatial SDM panel models with spatial SDM panel models and also to estimate the direct and indirect effects (space overflows) related to the explanatory variables in both the short and long term by using population spatial weight matrix in MATLAB SOFTWARE. In order to choose the best spatial pattern consistent with the theoretical model of housing price determination, we have used Elhorst methodology and at every step, Likelihood ratio test (LR) and Lagrange multipliers tests (LM) are used to compare the spatial patterns. We found out that dynamic spatial model shows the best specification. By comparing the results of the SPATIAL PANEL MODEL/fa?page=1&sort=1&ftyp=all&fgrp=all&fyrs=all" target="_blank">DYNAMIC SPATIAL PANEL MODELs, lagged housing price variable and spatial effects of this variable have a significant role in determining house prices. The results also show that only the spatial effects of household spending variable have a significant effect on housing prices and other variables such as land price, construction costs, rental housing prices, have significant effect on housing prices in the provinces of Iran both directly and in the form of space overflow effects.

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APA: Copy

TALEBLOU, REZA, MOHAMMADI, TEYMOUR, & PIRDAYEH, HADI. (2017). ANALYSIS OF SPATIAL DIFFUSION OF HOUSING PRICE CHANGES IN IRANIAN PROVINCES; SPATIAL ECONOMETRICS APPROACH. ECONOMIC RESEARCH REVIEW, 17(66 ), 55-95. SID. https://sid.ir/paper/67051/en

Vancouver: Copy

TALEBLOU REZA, MOHAMMADI TEYMOUR, PIRDAYEH HADI. ANALYSIS OF SPATIAL DIFFUSION OF HOUSING PRICE CHANGES IN IRANIAN PROVINCES; SPATIAL ECONOMETRICS APPROACH. ECONOMIC RESEARCH REVIEW[Internet]. 2017;17(66 ):55-95. Available from: https://sid.ir/paper/67051/en

IEEE: Copy

REZA TALEBLOU, TEYMOUR MOHAMMADI, and HADI PIRDAYEH, “ANALYSIS OF SPATIAL DIFFUSION OF HOUSING PRICE CHANGES IN IRANIAN PROVINCES; SPATIAL ECONOMETRICS APPROACH,” ECONOMIC RESEARCH REVIEW, vol. 17, no. 66 , pp. 55–95, 2017, [Online]. Available: https://sid.ir/paper/67051/en

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