Analysis of housing market developments in Tehran in the first five months of 1400 by data envelopment analysis approach

The housing market in Iran is important in two ways. First from the macroeconomic dimension; because the construction industry is one of the infrastructure industries in the country, the rotation of its wheels causes the prosperity of several upstream and downstream industries, and consequently, the economic prosperity of the country. Another importance of this industry is in terms of housing; because the cost of housing is currently the most important part of the cost of most Iranian households. Performance appraisal has been a topic that has always been considered since the introduction of classical management theories.

The study evaluates the developments of the housing market in Tehran in the first five months of 1400. For this purpose, the efficiency of the twenty-two districts of Tehran was determined by output-oriented CCR rating models through Gomez software and were ranked by Anderson and Petersen models. Despite the public demand for information about the quality of this market, in this study, an attempt has been made to measure reliable analysis using data envelopment analysis method.

The results can be effective in decision-making in order to provide more and better services and citizen satisfaction.

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One of the most important of these is the advanced data envelopment analysis technique. Given that one of the most practical techniques in performance appraisal is data envelopment analysis technique. In this research, using this powerful mathematical technique, the volume of housing transactions in the twenty-two districts of Tehran has been calculated.