THE ROLE OF CENTRAL BANK INDEPENDENCE IN PRICE STABILITY
EURASIAN RESEARCH JOURNAL
ERJ, Vol. 5, No. 3, pp. 51-70, Summer 2023
Eurasian
Research
Journal
Summer 2023
Vol. 5, No. 3.
https://doi.org/10.53277/2519-2442-2023.3-03
IRSTI 06.73.45
ISSN 2519-2442, KAZAKHSTAN
Research Article
THE ROLE OF CENTRAL BANK INDEPENDENCE
IN PRICE STABILITY
Bulat MUKHAMEDIYEV ¹, Azimzhan KHITAKHUNOV ² & Zhansaya TEMERBULATOVA 3
1 Al-Farabi Kazakh National University, 050040, Almaty, Kazakhstan
[email protected]
ORCID: 0000-0002-1490-302X
2 Khoja Akhmet Yassawi International Turkish-Kazakh University, 050004, Almaty, Kazakhstan
[email protected]
ORCID: 0000-0003-3455-563X
3 Al-Farabi Kazakh National University, 050040, Almaty, Kazakhstan
[email protected]
ORCID: 0000-0002-3205-0948
Received: 24.05.2023
Corresponding Author: Zhansaya TEMERBULATOVA
Accepted: 08.08.2023
ABSTRACT
This study aims to determine the relationship between inflation and the
independence of central banks in post-Soviet, developed, and developing
countries. The hypothesis of a negative statistical relationship between the
inflation rate and the values of the CWN and GMT central bank independence
indices and their constituent subindices for post-Soviet, developed, and
developing countries for 2001–2020 was tested. Based on the results of the
econometric assessment, the paper finds that high values of the central bank
independence indices and their sub-indices help to keep inflation in a certain
corridor: if inflation is high, central bank independence reduces it, and if
inflation is low, it helps to keep inflation at a low level. The impact of central
bank independence on inflation weakens as inflation decreases.
Keywords: Central Bank Independence, Inflation, CWN and GMT Indices,
Post-Soviet Countries, Monetary Policy, Central Asia.
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INTRODUCTION
Central bank independence (CBI) is the central bank’s ability to control monetary
instruments. CBI is a set of restrictions on the influence of the government on
the management of the central bank’s monetary policy. CBI can be limited
or strengthened by personnel, financial and political independence. The first
dimension, personnel, refers to how a bank governor is appointed and dismissed.
As the government’s influence on the governor’s term of office increases, the
central bank’s degree of independence decreases. The government can also
influence the personnel of the central bank by controlling the membership of
the central bank’s board. Financial independence refers to the ability of the
government to fund its spending. If the government has direct access to central
bank credit, it is more likely that monetary policy will be subordinated to fiscal
policy. The limitation on the government’s ability to finance itself with monetary
instruments reflects the higher degree of CBI. Finally, political independence
reflects the powers of the central bank to formulate and implement monetary
policy.
The concept of central bank independence is not strictly formulated. Various
indices reflect, to some extent, the central bank’s independence in developing
and implementing monetary policy. The most widely used indices are GMTindex (Grilli et al., 1991) and CWN-index (Cukierman, et al., 1992), named
after the authors’ last names in capital letters.
CWN-index is a method for assessing the degree of independence of a central
bank, developed based on a weighted average of sixteen criteria that are
responsible for certain criteria for independence, grouped into four groups:
personnel autonomy, development of monetary policy, priorities and objectives
of the central bank, restrictions on state budget financing.
In the GMT index, the central bank’s independence is considered in the context of
its political and economic independence. Political independence refers primarily
to the procedure for appointing the leadership of the central bank, independent
of the government, as well as its autonomous functioning. In turn, economic
independence is determined by the possibility of lending by the central bank
to the government and the involvement of monetary authorities in supervising
commercial banks.
This paper aims to analyze and assess the role of CBI in price stability. In
particular, the study aims to determine the relationship between inflation and
the independence of central banks in developed, post-Soviet, and developing
countries. Higher levels of inflation in all country groups, especially developing
economies, make the study relevant. To achieve the study’s goal, the authors put
forward hypothesis H0: A negative statistical relationship exists between the
inflation rate and the values of the CWN and GMT central bank independence
indices and their constituent sub-indices. Based on econometric assessments,
the paper finds that higher levels of the CBI contribute to a reduction of prices
and high values of the CBI indices and their sub-indices help to keep inflation
in a certain corridor.
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LITERATURE REVIEW
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Systematic literature review
Summer 2023
Vol. 5, No. 3.
There is still no precise definition of the CBI concept. Most authors understand
the CBI as the economic and political independence of the bank in implementing
monetary policy. The GMT and CWN indices are used to evaluate the CBI,
which occupy a central place in most studies and include economic and political
criteria.
Most studies on CBI analyze and evaluate the impact of the degree of
independence on achieving inflation targets. Doyle and Weale (1994) show that
there is fairly strong evidence that high central bank independence is associated
with lower inflation. Of course, this does not mean that central banks should be
free to pursue targets of their choice, but rather that they should use monetary
policy to achieve a target set by parliament.
Mas (1995) notes that creating an independent central bank may not bring
the claimed benefits in developing countries with underdeveloped financial
markets, where the scope for a truly independent monetary policy is limited.
The benefits of an independent central bank may be eroded by conflicts
between fiscal and monetary policy and internal problems of the central bank’s
institutional structure so that the problems of dynamic inconsistency associated
with monetary policy are not resolved, but simply transformed. Less developed
countries wishing to move to a low-inflation path should focus on fiscal policy
reforms that strengthen inflation resistance and on institutional arrangements
that directly impose discipline on fiscal policy rather than indirectly through
monetary policy.
Piga (2000) shows that central bank independence arises from the need for
politicians to maximize rent extraction from private counterparties who engage
in political transactions to obtain subsidies. The author also notes that Milton
Friedman opposed an independent central bank. His argument was eminently
libertarian, fighting against the concentration of power and warning against the
possibility of central bank corporatism.
Moiseev (2018) provides many criteria for CBI in his review study. These
criteria include the ability of the central bank to independently apply monetary
policy instruments, the characteristics of the rules, the limited influence of
the government on monetary policy, and the independence of purpose and
instruments. The author reviews many studies showing that a high degree of
CBI can keep inflation low. Moreover, additional advantages of CBI are cited,
such as the ability of CBI to strengthen fiscal sustainability. It should be noted
that the CBI minimizes the impact of the political cycle on inflation. Thus, the
CBI is recognized as one of the key principles of monetary policy. However,
strengthening the CBI was a global trend during the global financial crisis of
2007-2009. The balance between fiscal and monetary authorities has changed.
Crowe and Meade (2007) note that the measurement of central bank independence
tends to focus on legal characteristics derived from the institution’s charter. These
legal characteristics refer to four aspects of the central bank’s independence
from the government. First, independence is greater when bank management
is protected from political pressure by sufficient tenure and independent
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appointment. Second, the central bank enjoys more freedom when the
government cannot participate in or override its decisions. Third, CBI is higher
when the central bank’s legal mandate clearly states the objective of monetary
policy. Finally, the central bank’s financial independence depends on government
lending restrictions. The authors also confirm the general conclusions of most
economists that CBI leads to low inflation. However, additional arguments are
given that this phenomenon is not always observed in developing countries. The
authors conclude that independent central banks with clear mandates, a good
communication strategy, and experienced, technocratic management teams can
calm the markets and reduce the economic costs of political crises or mistakes.
According to Reis (2013), even though many experts advocate CBI, consideration
of more specific issues leads to ambiguous conclusions. The author argues
that sticking to a stable long-term nominal anchor can reduce the cost of price
uncertainty, and this policy is completely different from maintaining a certain
level of inflation. Research shows that a flexible price target can reduce the
dispersion of inflation and real activity. Moreover, the release of the central
bank from the obligation to increase seigniorage to transfer funds to the fiscal
authorities does not mean that the central bank can take on greater risks through
uncontrolled lending policy.
Levenkov (2018) shows that CBI can help countries achieve lower inflation
rates, mitigate the impact of political cycles on business cycles, enhance
financial system stability, and increase financial discipline without any cost
in terms of output volatility or reduced economic growth. The author notes a
positive relationship between central bank independence and economic growth.
Trunin et al. (2010) note that the central banks of countries with emerging
markets are still deprived of the legal, economic, and political independence
characteristic of developed countries’ central banks. In turn, the position of
central banks in the CIS countries varies from absolute dependence on the
executive branch to relative autonomy in decision-making. According to the
results of their study, the banks of Eastern Europe and the Baltic countries
turned out to be the most independent. The least independent are the central
banks of Belarus, Ukraine, and Uzbekistan. At the same time, it can be assumed
that the results obtained reflect only the formal independence of the Central
Bank. In particular, if the high level of independence of the Central Banks of
the Baltic States is not in doubt, then the comparable level of independence of
the Central Banks of Kyrgyzstan and Tajikistan does not look very convincing.
As for the place of Russia and Kazakhstan, the Bank of Russia and the National
Bank of Kazakhstan are characterized by an average level of independence
among the countries considered. The authors explain that the trend of decreasing
independence of the Central Bank of the Russian Federation creates obstacles to
reducing inflation in Russia. Considering that the Russian economy is currently
struggling to get out of the crisis, the country’s authorities can use the low level
of CBI to solve current problems. Even though such solutions can stabilize the
situation in the economy in the short term, their effectiveness in terms of longterm economic development may turn out to be insignificant.
Based on a survey study, Berger et al. (2001) showed that the negative relationship
between CBI and inflation is strong. Klomp and De Haan (2010) performed a
meta-regression analysis using 59 studies examining the relationship between
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inflation and CBI. The authors show that the studies reviewed differ greatly in
terms of the CBI indicator used, the sample of countries, the period covered, and
the model specification. The authors concluded that the relationship between
CBI and inflation is strong. Thus, the generally accepted argument of most
researchers is that the CBI can keep inflation low.
Based on their assessments, Baumann et al. (2021) questioned the generally
accepted fact that the CBI keeps inflation low. The authors concluded that, in
general, there is only a weak, if any, causal relationship between independence
and inflation. These results are obtained based on a statistical approach, which
has not yet been used to analyze macroeconomic processes. The authors
propose their own method for assessing the impact of the CBI on inflation.
In particular, the researchers propose a method of long-term target maximum
likelihood estimation (Longitudinal targeted maximum likelihood estimation).
The evaluation procedure includes machine learning algorithms and is designed
to solve problems associated with complex macroeconomic panel data. To
describe and eliminate relevant confounding structures, the possible reasons
that motivate a country’s decision to accept a certain degree of central bank
independence are taken into account; they range from the country’s political
institutions, political instability, history of inflation, and international pressure.
Moreover, the authors use 17 measured variables, including money supply,
energy prices, economic openness, institutional variables such as central bank
transparency and monetary policy strategies, and political variables. The study
was conducted for 60 countries at various stages of development between 1998
and 2010. The authors come to the important conclusion that the CBI does not
have a clear effect on inflation; moreover, one cannot exclude even the impact
that promotes the growth of inflation.
According to Haldane (2020), central bank independence has contributed to two
important outcomes, such as low and stable inflation at no cost in an environment
of output volatility and safe and sound banks. At the same time, central banks
and central bank independence face new challenges. Not least, this is due to
the rapid growth of central bank balance sheets over the past decade. This has
contributed to a loss of understanding and perhaps some confidence in the role
of monetary policy and the extent to which it is separated from government
action.
Bibliometric analysis of literature
For the bibliometric analysis of the literature, a selection of scientific articles
from the Scopus database was used, found in the search results for the keyword
“central bank independence”. Until March 2022, 762 publications were found in
the database for this keyword.
Articles are analyzed against annual scientific production, important sources,
relevant institutions, a network of coincidences, and thematic mapping
and evolution to understand trends in the central bank independence body
of knowledge. Bibliometric analysis was carried out using the R-package
Biblioshiny tool.
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Figure 1. Annual Scientific Production
Summer 2023
Vol. 5, No. 3.
Source: The authors’ compilation
Figure 1 shows the annual production of academic research on central bank
independence. As can be seen in the Figure, research on this topic began to be
published in 1990, when 2 articles were published. Since 1993, there has been
a noticeable increase in articles until 1998, when the number of studies reached
37. The highest publication activity is observed in 2019 – 49 articles were
published during the year. In 2020, this indicator decreased, it can be assumed
that the reason for the decrease in the number of studies on the independence
of central banks was the pandemic. The scientific interests of many researchers
have shifted towards research into the causes and consequences of the pandemic.
In 2021-2022, an increase in publications is again noticeable, for 3 months of
this year 13 works have already been published.
Figure 2. Three Fields Graph (Country – Keywords – Source)
Source: The authors’ compilation
On the three-field graph, one can see the relationship of the attributes of
publications. For example, Figure 2 shows which countries and journals are
most involved in the study of central bank independence. Most of the articles
came from the US, Germany and the UK. The relationship between central bank
independence and inflation is most studied in France, Australia, Switzerland
and Turkey. From this, we can conclude that mainly developed countries are
involved in the study of the subject. Figure 2 also shows the top 3 journals that
have published the most articles on central bank independence.
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Figure 3. Thematic Map
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Source: The authors’ compilation
Figure 3 shows the state of the art in research on central bank independence.
The author’s keywords were used to obtain a thematic map, and a minimum
clustering frequency of 5 points was set.
Among the central clusters, the largest is “central bank independence”,
which includes such frequently occurring keywords as “monetary policy”
and “inflation”. The cluster “quality of institutions” along with the keywords
“Africa”, and “developing countries” is about to become a central theme. That
is, in developing countries, more and more attention is paid to the study of this
topic.
As for the movement topics, the only cluster “fiscal policy” belongs to this
category. Peripheral topics are “taxation” and “electronic crime”.
A network of matches was also formed based on the author’s keywords with the
Louvain clustering algorithm.
There are three main clusters in the coincidence network. The base, central, and
also the largest cluster is the “Central Banks Independence”. “Inflation” is the
second largest node, following the CBI node. “Inflation” is located inside the
CBI node, which means that these two concepts are closely related to each other.
Therefore, it is quite possible that most of the ongoing research explores these
two concepts in conjunction. The same applies to “Monetary Policy”, which is
also within the borders of the CBI node. Other nodes in the same cluster, close to
the central theme of the CBI, are “price stability”, “inflation targets”, “financial
stability”, “federal reserve”, “panel data”, and “European Central Bank”. It can
be assumed that all these topics are current research areas in connection with
the CBI.
In addition to the current state of research, the thematic map shows changes
in the temporal development of the topic. For thematic evolution, a complete
sample of 762 articles was used. This dataset was split into quadruple slices.
Time slices were selected according to the degree of publication activity. The
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Figure 4. Thematic Evolution for 1990-2022
Summer 2023
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Source: The authors’ compilation
first time slice (1990–1998) shows increasing publication activity (Figure 1),
while the second (1999–2008) and third (2009–2018) time slices indicate the
volatility of publication activity. As for the fourth time interval (2019–2022), it
is characterized by the largest increase in publication activity.
Thematic evolution shows the expansion of research areas. The independence of
central banks was initially studied in terms of price and financial stability. In the
last 3 years, the relationship of central bank independence with topics such as
the global financial crisis, inflation and democracy has been actively explored.
METHODOLOGY
To test the H0 hypothesis, data on CBI were collected for three groups of
countries according to the UN version for 2021 (UN, 2021):
− 10 post-Soviet countries, excluding Latvia, Lithuania, Estonia,
Uzbekistan, and Turkmenistan: Azerbaijan, Armenia, Belarus, Georgia,
Kazakhstan, Kyrgyzstan, Moldova, Russia, Tajikistan, and Ukraine. Latvia,
Lithuania, and Estonia were excluded from the calculations because these
countries have been part of the European Union since 2004 and belong to
the category of developed countries. Uzbekistan and Turkmenistan were
excluded from the calculations because there is no inflation data for these
countries on the consumer price index;
− 18 developed countries, for which at least three editions of the Laws
(acts) on the Central Bank are available: Canada, Australia, Belgium, Croatia,
Cyprus, Estonia, Finland, Hungary, Latvia, Lithuania, the Netherlands,
Portugal, Romania, Slovakia, Iceland, Norway, Switzerland, UK;
− 32 developing countries for which Central Bank Laws (acts) and
inflation data are available: Zimbabwe, Cape Verde, Ghana, Nigeria, Brunei
Darussalam, Cambodia, Indonesia, Malaysia, Mongolia, Philippines,
Vietnam, Bangladesh, Bhutan, Bahrain, Iraq, Israel, Oman, Qatar, Yemen,
Dominican Republic, Guatemala, Nicaragua, Panama, Ecuador, Tanzania,
Lesotho, Mauritius, Botswana, South Africa, Sudan, Egypt, Libya.
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The study’s limitation is that there are no laws (acts) on the Central Bank in the
public domain for many countries. For post-Soviet and developed countries,
it was possible to find several versions of the Laws to trace the dynamics of
change, and for developing countries, it was difficult to find even one version
of the laws.
Data for assessing the independence of the central banks of these countries
according to CWN and GMT indices were obtained from the Laws (acts) of the
Central Bank of each country.
For each country, inflation data for 2001-2020 was collected from the
official website of the World Bank (World Bank, 2022).
Variable designations have been introduced for all central banks:
inf01, inf02, …, inf20 – inflation rate in the year 2001, 2002, ..., 2020,
respectively,
cwn – CWN index,
cwn1 – personnel autonomy,
cwn11 – term of office of the central bank’s management,
cwn12 – the institution that appoints the governor of the central bank,
cwn13 – early removal of the governor of the central bank from office,
cwn14 – the ability of the governor of the central bank to perform other
functions in the government,
cwn2 – development of monetary policy,
cwn21 – the institution engaged in the development of monetary policy,
cwn22 – the institution that has the last word in conflict resolution,
cwn23 – central bank involvement in developing fiscal policy,
cwn3 – priorities and main objectives of monetary policy,
cwn4 – restrictions on financing the state budget deficit,
cwn41 – restrictions on the issuance of direct loans to the government,
cwn42 – purchase of government securities,
cwn43 – credit terms,
cwn44 – potential borrowers from the bank,
cwn45 – limits on lending by the central bank,
cwn46 – maturity of loans,
cwn47 – interest rates on loans,
cwn48 – transactions with government securities in the primary market,
gmt – GMT index,
gmt1 – GMT-sub-index of political independence,
gmt11 – the governor of the central bank is appointed without government
intervention,
gmt12 – the governor of the central bank is appointed for a term of more
than 5 years,
gmt13 – the board of the central bank is appointed without the participation
of the government,
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gmt14 – members of the board of the central bank are appointed for a term
of more than 5 years,
gmt15 – no mandatory presence of government representatives on the board
of the bank
gmt16 – no need to approve the main directions of monetary policy by the
government,
gmt17 – fixing price stability in the legislation as the main goal of the central
bank,
gmt18 – availability of legal support from the central bank in case of conflict
with the government,
gmt2 – GMT-sub-index of economic independence,
gmt21 – there is no automatic procedure for issuing loans to the government,
gmt22 – the central bank does not participate in the initial placement of
government securities,
gmt23 – the central bank independently sets interest rates for its operations,
gmt24 – supervision of banks is not included in the functions of the central
bank.
CWN index: calculated based on sub-indices using the formula:
cwn = 0.2cwn1 + 0.15cwn2 + 0.15cwn3 + cwn4
The sub-indices included in this formula are calculated according to the subindices of the next level using the formulas:
сwn1 = 0.25cwn11+0.25cwn12+0.25cwn13 +0.25cwn14,
cwn2 = 0.25cwn21+0. 5cwn22+0.25cwn23,
сwn4 = 0.15cwn41+0.1cwn42+0.1cwn43 +0.05cwn44+0.025cwn45+0.025
cwn46+ +0.025cwn47+0.025cwn48.
The sub-indices included in them are calculated based on their sub-indices,
for example,
сwn11 = cwn111+0.75cwn112+0.5cwn113 +0.25cwn114,
where, if the term of office of the central bank governance is from eight
years, cwn111 = 1, if from six to eight years, then cwn112 = 1, if five years,
cwn113 = 1, if four years, cwn114 = 1, and 0 otherwise. All other sub-indices
are calculated similarly.
A count index a GMT is easier than calculating the CWN index. It is equal to the
sum of sub-indices of political and economic independence of the central bank:
gmt = gmt1 + gmt2
and each of them is equal to the simple sum of the values of their sub-indices.
Many publications take it for granted that higher central bank independence
helps to reduce inflation (Berger et al., 2001; Klomp and De Haan, 2010;
Levenkov, 2018). To test this statement, you can use the methods of correlation
analysis and multiple regression. The linear regression model has the form:
where – a column of inflation rates for a sample of countries, – a matrix of
values of explanatory variables, such as the values of CWN, GMT, or their
sub-indices and constants, – a column of coefficients for model variables, is a
column of random regression terms.
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It was planned to build multiple linear regressions of the inflation rate for all
years from 2001 to 2020 and for all indices and sub-indices. Data of CWN and
GMT for 20 years were collected directly from central banking laws. They are
weakly changeable since changes are rarely made to these laws. Therefore, the
study included only countries for which at least three versions of the law on the
central bank were found for the period 2001–2020.
The weak variability of CWN and GMT over the years explains the failure of
attempts to build multiple regression models. Therefore, further, we limited
ourselves to the study of pairwise relationships between the inflation rate and
all indicators of the independence of central banks based on their correlation
coefficients. Correlation, in this case, shows the statistical relationship between
inflation and the indicator of the independence of the Central Bank. By using
correlations to analyze, we keep in mind that there are other inflation factors.
Since the data are correlated over the years and change little, averaged data were
used for 4 five-year intervals for 2 ten-year and 20-year intervals. They provide
the same information about the relationship between the inflation rate and the
central bank independence index or sub-index as paired linear regressions.
For example, the study used a pairwise linear regression model when there is
only one explanatory variable, such as CWN or GMT. A statistically significant,
negative value of the coefficient for this explanatory variable will confirm
the hypothesis H0, i.e., will correspond to the fact that there is a negative
statistically significant linear relationship between the increase in the central
bank independence index or its sub-index and the inflation rate. Paired linear
regression corresponds to pairwise correlation coefficients between dependent
and explanatory variables. In this case, it is necessary to consider only those of
them that are statistically significant, at least at the 5% level.
The influence of the independence of central banks on inflation can be assessed
not only by their ability to influence the inflation rate but also by their ability to
keep the inflation rate within a given corridor. The binary choice model, in this
case, estimates the probability of inflation going beyond this corridor. The probit
model is estimated based on the standard normal distribution. The probability
distribution functions determine the probability that the dependent variable will
take the value 1. Unlike linear regression models, a binary choice model requires
more observations to obtain statistically significant relationships. Therefore, the
probit model was evaluated using combined data for post-Soviet, developed,
and developing countries. In total, a sample of 60 countries is obtained.
RESULTS AND DISCUSSION
Post-Soviet countries
Since the data on CWN and GMT are slightly variable over the years and there
are no changes in these indicators between some neighboring years, we consider
their average values for each country over five-year intervals 2001–2005,
2006–2010, 2011–2015, 2016–2020. Accordingly, the inflation values are also
averaged. Four time periods remain, between which there are changes in CWN
and GMT.
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The fact that in Table 1 for inf01-05 all correlations (except for cwn) are about
-0.70, and they are all marked with (*), means that there is a negative statistical
relationship between the indicators and the annual average inflation rate inf0105, and a significant at least at the 5% level. There may be positive correlations,
but they were not statistically significant even at the 10% level and therefore are
not shown in Table 1.
Figures 5–6 show graphs of the values of the CWN and GMT indices and
inflation rates averaged across countries. Although these are averages, it can be
seen that the rise in CWN and GMT corresponds to a decrease in the inflation
rate.
If we look at the next interval 2006–2010 in Table 1, then in the corresponding
column all cells are empty, i.e. all coefficients are insignificant even at the 10%
level. The global financial crisis of 2008-2009 falls within this interval. It caused
jumps in the inflation rate in many countries, and the statistical relationship
between CWN and GMT and the inflation rate in this interval was broken.
The influence of central bank independence manifests itself at long time intervals.
In Figures 5–6, for the post-Soviet countries, as can be seen, an increase in
the CBI corresponds to a declining inflation trend. Deviations from the trend
are explained by the influence of other factors of inflation. Their influence on
inflation may distort and override the influence of central bank independence.
This explains the presence of empty cells in Table 1, as well as positive values
in some cells. In these cases, we explain this by the fact that the influence of
other factors on inflation turned out to be stronger than the downward influence
of the CBI.
Table 1. Pair correlation coefficients for indicators of central banks of postSoviet countries on 5-year, 10-year and 20-year intervals
inf01-05
inf06-10
inf11-15
inf16-20
inf01-10
inf11-20
inf01-20
cwn
сwn42
-0.70*
-0.73*
-0.64
-0.83*
-0.72*
сwn48
-0.70*
-0.69*
-0.64
-0.77*
-0.72*
gmt
-0.68*
-0.68*
gmt15
-0.67*
-0.65
gmt2
-0.68*
-0.61
-0.65
gmt21
-0.70*
-0.64
-0.72*
gmt22
-0.70*
-0.69*
-0.64
-0.61
-0.55
-0.77*
-0.59
-0.72*
Source: The authors’ calculations
All values given in Table 1 are negative, i.e. in some years, the gmt index and
some sub-indices are negatively correlated with the inflation rate:
cwn42 – purchase of government securities,
cwn48 – transactions with government securities in the primary market,
gmt – GMT index,
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gmt15 – no mandatory presence of government representatives on the board
of the bank
gmt2 – GMT-sub-index of economic independence,
gmt21 – there is no automatic procedure for issuing loans to the government,
gmt22 – the central bank does not participate in the initial placement of
government securities.
The increase in these indicators in some time intervals was accompanied by
a decrease in inflation. However, there is no statistically significant negative
relationship between the inflation rate and the CWN and GMT indices or their
sub-indices for all intervals.
Figure 5. CWN index (left axe) and inflation rate (right axe) in post-Soviet
countries
Source: The authors’ compilation and the World Bank (2022)
Figure 6. GMT index (left axe) and inflation rate (right axe) in post-Soviet
countries
Source: The authors’ compilation and the World Bank (2022)
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Table 2. Pair correlation coefficients for indicators of central banks of developed
countries on 5-year, 10-year and 20-year intervals
Summer 2023
Vol. 5, No. 3.
inf01-05
inf11-15
inf16-20
cwn2
0.60*
0.47*
0.56*
cwn22
0.58*
0.49*
0.58*
cwn
inf06-10
0.58*
cwn4
0.44
сwn47
0.62*
gmt
0.42
gmt1
0.44
gmt13
0.42
gmt24
inf01-10
inf11-20
0.46
0.43
inf01-20
0.40
0.42
0.41
Source: The authors’ calculations
Index coefficients gmt, subindices gmt15 and gmt2, which are significant at the
5% level in the first 5-year interval from 2001 to 2005, turn out to be insignificant
at the subsequent second, third, and fourth 5-year intervals. They are also not
significant at the 5% level over the last 10-year interval from 2011 to 2020 and at
the full interval from 2001 to 2020. We believe that this is due to relatively high
inflation in the first 5-year interval compared to subsequent intervals.
Developed countries
Also, as for the post-Soviet countries, correlation coefficients were calculated
for 5-year intervals 2001-2005, 2006-2010, 2011-2015 and 2016-2020, for 10year intervals 2001-2010 and 2011-2020, and finally, for the full interval 20012020 according to the averaged data for each interval. The results are shown in
Table 2.
In Table 2, all correlation coefficients for developed countries are positive, while
in Table 1, for post-Soviet countries, all coefficients are negative. In other words,
the increase in the independence of central banks, which is associated with an
increase in the CWN or GMT indices and their sub-indices, for developed
countries, unlike the post-Soviet countries, did not have a downward effect on
inflation over time intervals of 5, 10 and 20 years. This seems counterintuitive.
Figures 7 and 8 show that in the first five years, inf and cwn and inf and gmt
move in the same direction in most cases. This corresponds to the positive
signs of the correlation coefficients in the inf01-05 column of Table 2. In the
remaining columns, inf06-10, inf11-15, and inf16-20, the cells corresponding
to cwn and gmt are empty, i.e., their correlation coefficients are insignificant at
the 10% level.
Here we put forward the following hypotheses: 1) CBI has a downward effect
on the inflation rate, and the direction of movement of the CBI index is not
significant; 2) the downward effect of CBI on inflation weakens when inflation
is low, and it is more affected by other factors.
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THE ROLE OF CENTRAL BANK INDEPENDENCE IN PRICE STABILITY
For developed countries, at the beginning of the first five-year interval, the
inflation rate was at the level of 6% (Figures 7 and 8). Sufficiently high values
of cwn and gmt contributed to its decrease. Then the impact of other factors,
including the 2007-2009 Global Financial Crisis, led to spikes in the inflation
rate. Since 2009, the average inflation rate has been in the range of 1 to 3
percent. There was no further decrease in the inflation rate below this corridor.
The impact of COVID-19 can explain some decrease in the inflation rate in 2019
and 2020.
Figure 7. CWN index (left axe) and inflation rate (right axe) in developed
countries
Source: The authors’ compilation and the World Bank (2022)
Figure 8. GMT index (left axe) and inflation rate (right axe) in developed
countries
Source: The authors’ compilation and the World Bank (2022)
Hence, it can be argued that the effect of central bank independence on inflation
weakens as inflation falls.
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For developed countries, the average inflation rate in 2009–2020 was low at 1–3
percent, although cwn and gmt increased markedly, and the variations were not
small, around 2 percentage points (Figures 7 and 8).
Thus, the CBI contributes to the formation of a downward trend for inflation,
which may deviate from it under the influence of other factors, such as the global
financial crisis, pandemic, and shocks to the global oil price.
Developing countries
The initial sample contains 87 developing countries for which the latest revisions
of central bank laws are found. However, it turned out to be problematic to
find previous editions of these laws on the Central Bank during the entire time
interval 2001-2020. Therefore, for further analysis, from the general sample of
developing countries, data were used for 32 countries for which the latest version
of the law on the Central Bank was no later than 2010. For these securities,
the values of the CWN, GMT and their sub-indices are unchanged throughout
the entire interval from 2011 to 2020. Table 3 shows the pair correlation
coefficients for developing countries based on averaged data at 5-year intervals
for 2011-2015, 2016-2020, and at a 10-year interval for 2011-2020. Only those
coefficients are shown, the significance of which is not lower than 10%, and
coefficients significant at the 5% level are marked (*).
As can be seen in Table 3, for developing countries, the correlation coefficients
of the cwn or gmt indices with inflation rates are not significant at the 5% level
and even at the 10% level at all time intervals. Only some sub-indices have
non-zero values. This means that the correlation coefficients are insignificant
for the rest of the sub-indices, even at the 10% level. These sub-indices did not
significantly correlate with the inflation rate at any time. This means that for
developing countries, according to Table 3, we can also conclude that there is no
statistically significant general relationship between the CWN or GMT indices
and their sub-indices and the inflation rate in all years from 2011 to 2020.
Table 3. Pair correlation coefficients for indicators of central banks of
developing countries on 5-year and 10-year intervals
inf11-15
inf16-20
inf11-20
-0.33
-0.54*
-0.57*
-0.44*
-0.45*
cwn
cwn21
gmt
gmt11
0.38*
gmt13
0.43*
gmt16
Source: The authors’ compilation and the World Bank (2022)
However, subindex cwn21 “the institution engaged in the development of
monetary policy” had a significant negative relationship with the inflation
rate at all considered time intervals. Subindex gmt16 “No need to approve the
main directions of monetary policy by the government” also had a negative
significance at 5% level of relationship with the inflation rate in the last 5-year
interval and over the entire 10-year interval. At the same time, sub-indices
gmt11 “the governor of the central bank is appointed without government
intervention,” and gmt13 “the board of the central bank is appointed without the
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THE ROLE OF CENTRAL BANK INDEPENDENCE IN PRICE STABILITY
participation of the government” in the first 5-year interval from 2011 to 2015
showed a significant 5% level but has a positive relationship with the inflation
rate.
Binary Choice Models. Probit-model
We define the variable inftr5_m1 as equal to 1 if the inflation rate inf1120 is
greater than 5 percent or less than minus 1 percent, and equal to zero in other
cases. The Probit model makes it possible to estimate the probability that central
banks will keep the inflation rate within the range from minus 1 percent to
5 percent. Table 4 shows the results of evaluating the Probit model with the
explanatory variable cwn. The p-values show that both the coefficient of this
variable and the constant are insignificant even at the 10% level. The same result
can be obtained for a linear regression model.
Table 4. Probit-model. Dependent variable inftr5_m1
Variable
const
cwn
Coefficient
0.69
-2.23
P-value
0.35
0.14
Source: The authors’ compilation
The Probit model, estimates for which are given in Table 5, differs from the
previous model only in that the variable cwn2 is chosen as the explanatory
variable. For this model, the coefficient at the variable cwn2 is negative and
significant at the 5% level. This means that an increase in cwn2 reduces the
probability that the inflation rate will surpass the interval [-1, 5].
Table 5. Probit-model. Dependent variable inftr5_m1
Variable
Coefficient
P-value
const
0.54
0.171
cwn2
-1.97**
0.012
Source: The authors’ compilation
The result of trying to narrow the range from minus 1 percent to 3 percent is
shown in Table 6. The dependent variable inftr3_m1 takes on a value of 0 within
this interval and a value of 1 outside of it. As can be seen, both the constant
and the coefficient at the explanatory variable cwn2 turn out to be statistically
insignificant. It turns out that the newly chosen interval for the inflation rate is
too narrow to keep inflation within its limits with an acceptable probability.
Table 6. Probit-model. Dependent variable inftr3_m1
Variable
Coefficient
P-value
const
0.79
0.200
cwn2
-1.43
0.215
Source: The authors’ compilation
Table 7 presents the results of the evaluation of the Probit model for the
dependent variable inftr5_m1 and the explanatory variable gmt21, for which the
coefficient turned out to be negative and significant at the 1% level.
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Table 7. Probit-model. Dependent variable inftr5_m1
Variable
Coefficient
P-value
const
0.55
0.130
gmt21
-1.20***
0.004
Source: The authors’ compilation
Discussion
Let’s pay attention to the signs of the correlation coefficients in Tables 1-3.
For the post-Soviet countries in Table 1, all correlation coefficients over time
intervals are negative, including coefficients that are significant at least at the
10% level.
A completely different picture is for developed countries. In Table 2, all
correlation coefficients calculated from averaged data over time intervals are
positive. It turns out that the increase in the corresponding sub-indices created
conditions for increasing of inflation.
For developing countries in Table 3, the situation is intermediate between postSoviet and developed countries. It has both positive and negative coefficients.
Figure 9 shows the average inflation rate in post-Soviet and developed countries
for 2001-2020. On average, inflation in developed and post-Soviet countries
was declining, and its rate in post-Soviet countries was several times higher than
in developed countries.
Figure 9. Average inflation rate in post-Soviet and developed countries
Source: The authors’ compilation and the World Bank (2022)
The above differences in the signs of the coefficients in Table 1 for the postSoviet countries and in Table 2 for developed countries can be explained by
the difference in average inflation rates in these countries and suggest that the
relationship between central bank independence and inflation weakens as it
decreases.
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CONCLUSION
For 10 post-Soviet countries, 18 developed countries, and 32 developing
countries, we tested the hypothesis of a negative relationship between the
independence of central banks and inflation based on average data over 5-year,
10-year, and 20-year time intervals. Although several authors favor this
hypothesis, other researchers question it. The CWN and GMT indices are most
widely recognized as criteria for the independence of central banks.
Econometric analysis has shown the absence of a general negative relationship
between these indices and their sub-indices and inflation in certain years in
developed, post-Soviet, and developing countries. Moreover, in some cases, on
the contrary, their positive relationships were revealed.
The constructed tables of their pair correlation give a complete picture of
the relationship between these indices, their sub-indices, and inflation rates.
Although they showed the presence of a negative correlation in some cases, in
general, it should be recognized that there is no statistically significant negative
impact of the independence of central banks, measured by the CWN and
GMT indices and their sub-indices, on inflation in developed, post-Soviet and
developing countries, which is true throughout the entire time interval.
Based on the result of the binary choice model, we can conclude that high
values of the CBI indices and their sub-indices help to keep inflation in a certain
corridor.
For post-Soviet countries, all significant coefficients in Table 1 with indices or
sub-indices CWN and GMT are negative, i.e. their increase helps to reduce the
inflation rate. And for developed countries, such coefficients in Table 2 are all
positive. This can only be explained by the fact that in the post-Soviet countries,
the inflation rates in the considered time interval were significantly higher than
in developed countries.
This fully confirms the main conclusion of the study based on quantitative
assessments: the impact of central bank independence on inflation weakens as
inflation decreases. Moreover, the results of this study allow us to conclude that
the influence of central bank independence is manifested in the long run, and
if inflation is high, CBI reduces it, and if inflation is low, CBI helps to keep
inflation at a low level.
Funding. The National Bank of the Republic of Kazakhstan funded this study
(a scientific project on the topic “Central Bank Independence and Achieving the
Inflation Target”).
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