The Analysis of Pricing Behavior of Firms in the Iranian Economy, Applying Wavelet Transforms Method

This paper investigates the adaptability of (TDP) models for pricing patterns in Iranian economy. For this purpose, price sub-indexes monthly time-series in the period of 2014(4) to 2017(11) are used. Moreover, appropriate wavelet transformation method is applied to extract pricing patterns from the time-series. Based on our findings, firstly heterogeneity is observed between pricing patterns of distinct groups of goods and services significantly which is inconsistent with (TDP) models assumption about the random distribution of price changing signals. Secondly, the pricing patterns changes over time which does not match with the assumption of uniform distribution of random signal during the time. As a result, the (TDP) models are not able to explain the pricing behavior patterns of the Iranian economy and the alternative approaches such as state-dependent pricing or rationally inattentive methods can be applied.