Ryszard Kokoszczyński | Narodowy Bank Polski
Joanna Mackiewicz-Łyziak | University of Warsaw


Central bank independence , inflation , dynamic panel data models

JEL Codes:

E31 , E58

Central bank independence (CBI) and its link to inflation have become a part of conventional wisdom. However, the literature shows that there is a lack of a stable general pattern for the relation between CBI and inflation, even for relatively homogenous groups of countries. We use two indexes for CBI: one proposed by Grilli, Masciandaro and Tabellini (1991) and another one by Cukierman, Webb and Neyapti (1992) to analyse the CBI-inflation relationship in the groups of advanced and non-advanced economies. In addition, we use disaggregated indices to check what aspects of independence are of highest importance. Our results suggest that CBI has negative significant impact on inflation mostly by results for non-advanced economies and that this relationship did not change during the recent crisis.


Central bank independence (henceforth CBI) and its link to inflation have become a part of conventional wisdom in economics. It is most often explained by the time inconsistency of optimal policy and inflationary bias of the government when the latter is responsible for both the real economic activity and nominal stabilization as described by Kydland and Prescott (1977) and Barro and Gordon (1983). Government is tempted to create unexpected inflation to modify the ex post real value of nominal contracts (including wages); that in turn stimulate employment and output. Of course, rational agents are aware of this temptation so they adjust their inflation expectations to the equilibrium point where there is no unexpected inflation, but inflation is higher than the optimal level. Central bank independence as a tool for reducing this inflationary bias may mean – as in Rogoff’s (1985) interpretation – a central bank with a different preference for stable prices than society or – as in most practical applications – a central bank with a strict priority for the price stability and no direct responsibility for employment, output etc. Goodhart (2003) and Gnan and Masciandaro (2016) present the same story in a more narrative manner to make it understandable for the general public. This theoretical explanation and solutions for the inflation-bias problem have been extensively and critically discussed (cf. Piga (2000) and references therein), but this rationale for CBI is still present in the literature. It follows directly that we should observe a direct relationship between inflation and CBI.

Another strand of literature concerns major central banks engaging themselves into so-called unconventional monetary policy during the great financial crisis. As some of those activities seem to go beyond the specific mandate that justifies theoretically central bank independence itself, as a natural outcome questions arise about the limits of that independence: should it cover only the narrowly defined monetary policy or should it also include other central bank activities going beyond that, including macroprudential policy (cf. Blinder et al. (2017), de Haan and Eijffinger (2016, 2017), Issing (2016); Mersch (2017)). Most discussants give a clear answer that the concept of central bank independence applies only to the central bank as a monetary policy institution. However, those extensions of central bank functions that are mentioned earlier have been accompanied by changes in central bank laws and regulations (cf. Khan (2017)). Thus, it is a valid question to check whether different measures of central bank independence have showed some changes for the crisis and after-crisis period, and whether the link between central bank independence and inflation has changed its nature after the crisis. For example, for the turnover rate, Artha and de Haan (2015) find that financial crises increase the probability of a central bank governor turnover.

Is there a link between CBI and inflation?

Validity of the link between central bank independence and inflation can be empirically tested only when central bank independence is quantified. The most popular approach to measuring CBI is to create an index based on expert assessment of various dimensions of CBI: legal, economic, financial etc. The index designed by Grilli, Masciandaro and Tabellini (1991) and another index constructed by Cukierman, Webb and Neyapti (1992) are most widely used in the literature. The former includes 15 components that are divided into two groups measuring respectively economic and political independence; the latter includes 16 components and they form four groups measuring the governor’s political independence, monetary policy process (its design and resolution of potential conflicts), objectives of the central bank, and limits for central bank’s lending to the government.

Recent surveys of empirical work directed into finding a meaningful relation between central bank independence – measured with those indexes – and inflation can be found i.a. in Balls et al. (2016), Bodea and Hicks (2015) and Iwasaki and Uegaki (2017). All those surveys and some earlier critical papers show that – setting aside measurement issues per se3  – it is difficult to obtain a negative and statistically significant effect on inflation of central bank independence across all groups of countries and time periods.

Alesina and Summers (1993) showed a near perfect negative correlation between inflation and central bank independence for advanced economies for the period between 1955 and 1988; similar results can be found in Carlstrom and Fuerst (2009) for pre-2000 years, in Balls et al. (2016) for the 1970s and 1980s etc. Klomp and de Haan (2010) in their meta-analysis covering 59 studies found a similar relation for OECD countries. In contrast, Bodea and Hicks (2015) report that central bank independence is insignificant as a factor explaining growth of M2 for OECD countries, but negative and significant for non-OECD countries; similar results were obtained by Alpanda and Honig (2010).

There are also examples of similar inconsistencies even for studies limiting their coverage to much smaller groups of countries. Iwasaki and Uegaki (2017) and Petrevski et al. (2012) are interested only in the transition economies. The former paper’s conclusion is that there exists a close relationship between central bank independence and inflation, but in the latter central bank independence is statistically insignificant. A review of empirical studies shows that it is still difficult to obtain a negative and statistically significant effect on inflation of central bank independence across all groups of countries and time periods. This lack of a stable general pattern for the relation between central bank independence and inflation, even for relatively homogenous groups of countries, gives motivation for further studies on this topic.

Measures of CBI for advanced and non-advanced economies

For more in depth analysis of the impact of CBI on inflation larger sets of data were needed covering more countries and longer time span. The appearance of such larger sets of panel data allowed for studies of the effects of changes in CBI and its components over longer periods of time and their possible impact on the CBI-inflation link (e.g. Arnone and Romelli (2013), Dincer and Eichengreen (2014)). Empirical researchers used a dynamic panel approach with model specification allowing explicitly for possible differences between countries with stronger and weaker institutions supporting rule of law to a different extent and for the important role of other economic and political variables (cf. e. g. Polillo and Guillen (2005), Bodea and Higashijima (2017), Papadamou et al. (2017)). In our empirical study we use two indices for central bank independence: the Cukierman, Webb and Neyapti (CWN) index, from the database provided by Garriga (2016), and the Grilli, Masciadaro and Tabellini (GMT) index, calculated for a longer sample by Masciandaro and Romelli (2015)4. The common sample of these two independence measures covers the period from 1992 to 2012 for 52 countries. After excluding one country for missing data other than CBI index, our panel includes 51 countries, of which we classify 24 as advanced economies, and 27 as non-advanced (emerging and developing) economies.

Figures 1. and 2. show the mean values of GMT and CWN indices for the whole sample of countries as well as for the group of advanced and non-advanced economies over the entire period. The data suggest that the legal CBI started declining slightly after the beginning of the global financial crisis. However, the timing of the decline was different in both groups of countries. In the advanced countries CBI was increasing continuously until 2007 (according to GMT) or 2008 (according to CWN) and decreased afterwards. In the non-advanced economies the decline occurred later (after 2011), although it is difficult to state definitely if the trend continued. Nevertheless, it seems that the crisis stopped the trend towards greater CBI around the world.

Figure 1. GMT index


Source: own preparation


Figure 2. CWN index


Source: own preparation

Both indices consist of several sub-indices. The CWN index consists of four parts describing: the term of office, appointing and dismissing conditions of the chief executive officer, limitations on lending to the government, objectives of the central bank – what is the status of price stability objective in the central bank’s mandate, and policy formulation conditions – the extent to which central bank has the authority to formulate monetary policy and the power to resist the government. The GMT index consists of political and economic indices. Political independence refers to the capacity of monetary policymakers to choose the final goals and is described by three components: the procedure for appointing the central bank’s board members, the relationship between the central bank’s governing body and the government and the formal responsibilities of the central bank. Economic independence refers to the ability of the central bank to choose the instruments of monetary policy and consists of two aspects: limitations on lending to the government and the types of instruments under the control of the central bank (Grilli et al., 1991). Although many studies indicate high correlation between these two CBI measures, in our study this correlation equals 0.67, which suggests some differences between them. Moreover, they capture to a different extent changes in the legal framework of central banks introduced after the outburst of the global financial crisis. Hence, for the period 2008-2012 the correlation between the indices decreases and equals 0.59. Even more significant differences may be observed for the respective sub-indices. Balls et al. (2016) claim that differences between these two CBI measures have been increasing over time and they discuss some examples of these discrepancies for several countries. These differences suggest the use of both measures in empirical studies to verify the robustness of the results to the choice of the CBI quantification method.

Empirical results on the CBI-inflation relationship

An empirical study should also take into account potential differences in the impact of CBI on inflation developments between advanced and less advanced economies. This problem has been recognized in the literature and larger panel data, such as described above, allow for such analysis. In our empirical study we additionally took into account that different aspects of CBI may have different effect on inflation depending on the development level of economies. We were able to conduct such analysis as we had at our disposal disaggregated data on the CBI indices (sub-indices constituting the CWN and GMT measures). Our results show that CBI has negative significant impact on inflation only in the group of non-advanced economies. In the advanced economies CBI seems to play no significant role in disinflation process. Our findings suggest moreover that the relationship between inflation and CBI did not change during the crisis. As far as respective aspects of CBI are concerned, it seems that virtually none of the sub-indices is significant for inflation in advanced countries, while most of them has significant impact on inflation in the non-advanced ones. In this respect our conclusions differ from those obtained by Balls et al. (2016), who found that operational (economic) independence had significant negative impact on inflation in advanced economies in the 1970s and 1980s (but no effect later), while in the emerging and developing economies neither political nor operational independence were significant for inflation developments. It is interesting to note that the most important aspects of independence for lowering inflation and minimizing the inflation gap in the emerging and developing countries are economic/policy independence and restrictions on lending to the government. This is consistent with the basic economic intuition behind the central bank independence relation to inflation, i.e. the negative outcomes of debt monetization and the importance of autonomy of the central bank in setting the policy instrument.

Our findings show that it is not only CBI that may have different impact on inflation depending on the type of the economy. In our study we used a set of controls to include other potential determinants of inflation process. The institutional arrangements such as level of democracy or the exchange rate regime seem to play much more significant role in the group of non-advanced countries than in the advanced ones. The results provide, therefore, strong evidence for the differences in the determinants of inflation between different types of economies.


Our conclusions can be viewed as an argument in the renewed debate about the importance of the institution of central bank independence. After significant trend towards higher independence and encouraging results of studies evaluating the impact of CBI on inflation performance in advanced economies, the environment of low and stable inflation rates in the later period (or even “too low for too long” inflation rates in some economies) raised questions about necessity of this institution. Even more controversies emerged after engagement of many major central banks in quasi-fiscal activities. The results of our study confirm the importance of legal CBI for emerging and developing economies. It seems that CBI has negative significant impact on inflation and inflation gap in the group of non-advanced economies while no significant effect in the advanced ones. Although much attention is given in the recent literature to the changes in the role of central bank independence after the beginning of the recent crisis, we did not find evidence for changes in the impact of CBI on inflation after the crisis.

Our findings provide clear policy implications. It seems that in advanced economies with high overall quality of institutions CBI adds little to the control of inflation. The opposite is true in the case of less advanced countries. In the face of weaker other institutions establishing of an independent central bank strongly supports disinflation process in these countries.


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  • 1.

    This note is based on the article Kokoszczyński R., Mackiewicz-Łyziak J. (2019). Central Bank Independence – An Old Story Told Anew. International Journal of Finance & Economics. DOI: 10.1002/ijfe.1730. We gratefully acknowledge the license we got from John Wiley and Sons to use content of this article in this SUERF Policy Note.

  • 2.

    Ryszard Kokoszczyński is member of the board of Narodowy Bank Polski and professor at the University of Warsaw. Joanna Mackiewicz-Łyziak is associate professor at the Faculty of Economic Sciences of the University of Warsaw. The views expressed here are those of the authors and do not necessarily reflect those of Narodowy Bank Polski.

  • 3.

    Forder (1999) and Cargill (2016) present some critical remarks regarding the possibility of measuring CBI.

  • 4.

    We are very grateful to Donato Masciandaro and Davide Romelli for making their data on CBI indexes available to us.

  • 5.

    Our sample of advanced economies includes: Australia, Austria, Belgium, Canada, Denmark, Finland, France, Germany, Greece, Ireland, Italy, Japan, Luxembourg, Netherlands, New Zealand, Norway, Portugal, Singapore, South Korea, Spain, Sweden, Switzerland, United Kingdom and United States. Non-advanced countries include: Albania, Argentina, Brazil, Bulgaria, Chile, Croatia, Czech Republic, Hungary, India, Indonesia, Iran, Kuwait, Latvia, Malaysia, Mexico, Morocco, Romania, Russia, Saudi Arabia, Slovakia, Slovenia, Thailand, Trinidad and Tobago, Turkey, Ukraine, United Arab Emirates and Venezuela.

About the authors

Ryszard Kokoszczyński

Professor Ryszard Kokoszczyński was born on 19 January 1954 in Warsaw. He has been working at Narodowy Bank Polski since 1987. The posts he has held at the central bank include the following: Director of the Research and Analysis Department (1992-1998); Member of the Management Board of NBP (1994-1998); Vice President of NBP (1998-2001); Director of the Bureau of Macroeconomic Research (2002-2007); acting Director General of the Economic Institute of NBP (2008-2009) and Deputy Director of the Economic Institute of NBP (2009-2015).  Since October 1977 he has been a research worker of the University of Warsaw, presently holding the title of associate professor. He was awarded a postdoctoral degree in economics (“habilitation”) in 2004. Professor Kokoszczyński’s academic interests focus on macroeconomic modelling and monetary economics as well as banking. These very issues are the topics of the classes he teaches at the University of Warsaw and of a hundred or so research papers and press articles he has published. Upon the request of the President of Narodowy Bank Polski, the President of the Republic of Poland Bronisław Komorowski appointed Ryszard Kokoszczyński Member of the Management Board of Narodowy Bank Polski as of 4 August 2015.

Joanna Mackiewicz-Łyziak

Joanna Mackiewicz-Łyziak is associate professor at the Faculty of Economic Sciences of the University of Warsaw. Previously, she worked in the Gdansk Institute for Market Economics. Her research is focused on monetary policy, fiscal policy, and public finance. She obtained her PhD in Economics from the University of Warsaw.

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