Related Experiment Video
Updated: Oct 22, 2025

Combining Behavioral Endocrinology and Experimental Economics: Testosterone and Social Decision Making
Published on: March 2, 2011
Testing the long-run neutrality and superneutrality of money in a developing country: Evidence from Iran
Nasim Iranmanesh1, Sayyed Abdolmajid Jalaee2
1Department of Economics, Faculty of Management and Economics, Shahid Bahonar University of Kerman, Kerman, Iran.
Abstract:
This paper investigates the long-run money neutrality (LMN) and long-run money superneutrality (LMSN) hypothesis for both the industry sector and the entire Iranian economy by using the data of 1979-2018 and applying Fisher and Seater's (1993) ARIMA framework. Conventional unit root tests, including PP, ADF, and KPSS, are applied to determine the order of integration of variables; however, since the structural break in variables is not considered in these methods, Lee-Strazicich and Zivot-Andrews methods are also applied to take it into account. The findings of money neutrality investigation in the Iranian industry sector show that when the monetary base is the criterion, money neutrality is confirmed, but when liquidity and money volume are the criteria, money neutrality is rejected. Also, the neutrality of money is accepted considering all three monetary aggregates (M1, M2, and M3) in investigating the entire economy. It is not feasible to examine the superneutrality of money since unit root tests confirm that all the variables are I (1).•As there is more than one structural break in the time series of the study, applying the Lee-Strazicich unit root test has made the results more reliable.•Neutrality of money testing is not efficient in the case of cointegration between model variables. Thus, the Gregory-Hansen test, which investigates cointegration considering the structural break, is applied.•The results of this research can guide policy-makers.•Non-neutrality of money in the industrial sector shows the positive effect of monetary policy on this sector when considering the probability of destructive effects on other sectors.
Related Concept Videos
Null and Alternative Hypotheses
The null hypothesis, denoted by H0 is a statement of no difference between the variables—they are not related. This can often be considered the status quo. As a result if you cannot accept the null, it requires some action.
The alternative hypothesis, denoted by H1 or Ha, is a claim about the...
Sign Test for Matched Pairs
To conduct the sign test, we first calculate the differences in...
Hypothesis Test for Test of Independence
H0: The two variables (factors)...
Sign Test for Median of Single Population
McNemar's Test
Introduction to Test of Independence
The test statistic for a test of independence is similar to that of a goodness-of-fit test:

