<p>While it´s true that there is no direct relationship between corruption and inflation, there are mechanisms which can lead to corruption acting to influence inflation through the monetary system.</p>

<p>Inflation is primarily a direct function of the money supply, and an inverse function of total production. If corruption takes the form of corrupt bank lending, where loans are made to people who are not going to repay them, and in particular if this leads to a higher rate of lending than repayment, then the resulting excess money supply creation will cause inflation.</p>

<p>Corrupt production practices can also lead to inflation, if they result in lower production, or if cartels and monopolistic organisations are allowed to control the price, or if direct manipulation of the markets themselves occur. All these can create higher prices than would otherwise be the case.</p>

<p>Monetary phenomena such as inflation, have to be measured over far longer periods of time than 2-3 years as in this example - because the system itself responds very sluggishly. But if you look at the money supply figures for the Ukraine, or indeed for Russia, it´s clear that they both continue to expand extremely fast, indicating that something is not right in the state of their banking systems with respect to their lending practices.</p>

<p>Iceland in the 2005-7 period is another good example of a country whose banking system is now known to have engaged in extremely corrupt practices - as a result of which their money supply more than doubled - but experienced the high inflation somewhat later.</p>

CC BY-SA 3.0
2014-12-18T14:21:16.453Z
(+1) Good answer that provides a picture related also to the private sector, apart from the standard "public sector corruption" issue.
Alecos Papadopoulos
CC BY-SA 3.0
2014-12-18T00:48:38.323Z
2014-12-18T00:48:38.323Z
Lumi
<p>Corruption undermines its country economy, and that <em>eventually</em> causes inflation, <strong>but</strong>: there are known examples of extreme corruption cohabiting with little to no inflation for some period of time, like Ukraine 2011-2013.</p>
<p>Quoting <a href="http://en.wikipedia.org/wiki/Corruption_in_Ukraine" rel="nofollow noreferrer">Wikipedia</a>:</p>
<blockquote>
<p>In 2014's Transparency International Corruption Perceptions Index Ukraine was ranked 142th out of the 175 countries investigated (tied with Uganda and the Comoros). Back in 2007 Ukraine had taken 118th place (179 countries investigated that year). Ernst &amp; Young (in 2012) put Ukraine <em>among the three most corrupted nations of the world</em> together with Colombia and Brazil.</p>
<p>United States diplomats have described Ukraine under Presidents Kuchma and Yushchenko as a <em>kleptocracy</em>, according to Wikileaks cables.</p>
</blockquote>
<p>Yet, with all of that scary corruption - the inflation index was very low - and in 2013 it was even negative!:
<a href="http://data.worldbank.org/indicator/FP.CPI.TOTL.ZG/countries/UA?display=graph" rel="nofollow noreferrer">http://data.worldbank.org/indicator/FP.CPI.TOTL.ZG/countries/UA?display=graph</a></p>
<p>So, <strong>NO - there is no clear and immediate correlation between corruption and inflation.</strong> But there certainly is some causality, like in aforementioned example - inflation Ukraine in 2014 was well above 100%.</p>

CC BY-SA 3.0
2014-12-18T00:36:03.120Z
2014-12-18T00:36:03.120Z
2020-06-17T09:40:54.643Z
c69
<p>Some related studies:</p>

<p><strong><a href="http://www.sciencedirect.com/science/article/pii/S016517659900230X" rel="nofollow">Al-Marhubi, F. A. (2000). Corruption and inflation. Economics Letters, 66(2), 199-202.</a></strong><br>
The analysis is based on cross-country data consisting of 41 countries from Asia and Latin America for which data is available on four alternative indices of corruption (two from Transparency International, one is the Business International index, and the fourth from another economics study). Note that numerically, these are essentially <em>non-corruption</em> indicators -they range from $0=$ <strong>maximum corruption</strong> to $10=$  <strong>no corruption</strong>. The panel covers the period 1980-1995. Four alternative OLS regressions were run (each with one corruption indicator present), with heteroskedasticity-robust standard errors. In all cases a statistically significant positive correlation between corruption and inflation was found.  </p>

<p><strong>How large a correlation (to judge its <em>economic</em> significance also)?</strong>  The dependent variable was the <em>logarithm</em> of inflation. The value of the coefficient on the corruption variable was on average $-0.22$. Given how the indicators are defined, the minus sign says that  less corruption = less inflation. The actual value roughly says that $1/5$ of inflation was associated with corruption. So if the inflation was, say $10$%, <strong>2 percentage points can be attributed to corruption</strong>. Not small.</p>

<p><strong><a href="http://onlinelibrary.wiley.com/doi/10.1111/j.1468-0343.2004.00132.x/abstract" rel="nofollow">Braun, M. &amp; Di Tella R., (2004). Inflation, inflation variability, and corruption. Economics &amp; Politics, 16(1), 77-100.</a></strong><br>
They examine the <em>reverse relationship</em>: inflation facilitates corruption. They present a theoretical model, and also empirical evidence. For the theoretical model they write:</p>

<blockquote>
  <p><em>"(...)high variability of inflation can make over-invoicing by
  procurement officers and under-invoicing by salespersons easier
  because it makes auditing more expensive to the principal".</em></p>
</blockquote>

<p>So here there is a <em>causative</em> theoretical argument as to why unstable prices increase corruption.</p>

<p>Their data relates to 75 countries and for the period 1980-1994:</p>

<blockquote>
  <p>Algeria, Argentina, Austria, Bahamas, Bahrain, Bangladesh, Belgium,
  Bolivia, Botswana, Burkina Faso, Cameroon, Canada, Chile, Colombia,
  Costa Rica, Cote d’Ivoire, Cyprus, Denmark, Dominican Republic,
  Ecuador, Egypt, El Salvador, Ethiopia, Finland, France, Gambia,
  Germany, Ghana, Greece, Guatemala, Haiti, Honduras, Hungary, India,
  Indonesia, Israel, Italy, Jamaica, Japan, Jordan, Kenya, Korea
  (South), Luxembourg, Madagascar, Malaysia, Malta, Mexico, Morocco,
  Myanmar, Netherlands, Niger, Nigeria,Norway, Pakistan, Paraguay, Peru,
  Philippines, Portugal, Senegal, Singapore, South Africa, Spain, Sri
  Lanka, Suriname, Sweden, Switzerland, Thailand, Togo, Trinidad and
  Tobago, Turkey, United Kingdom, USA, Uruguay, Venezuela, Zimbabwe.</p>
</blockquote>

<p>Here the dependent variable is the corruption index. They use the <strong>International Country
Risk Guide (ICRG)</strong>, that ranges from $0$ to $6$. Here too, a higher score means <em>less</em> corruption. They regress it (among various controls), on <em>inflation variance</em> (since what they want to test is whether an unstable price system introduces noise into transactions that facilitates corruption). They find statistically significant regression coefficients with values around $0.5$. They even find that inflation variability correlates more strongly with corruption, than inflation itself. Lots of references.</p>

<p><strong><a href="http://core.kmi.open.ac.uk/download/pdf/9312682.pdf" rel="nofollow">Dreher, A., &amp; Herzfeld, T. (2005). The economic costs of corruption: A survey and new evidence. Public Economics, 506001.</a></strong><br>
A more general study on the costs of corruption, looking also at inflation. For their empirical study (71 countries, 1975-2001), they also use the ICRG index. They regress the level of inflation on this index, and they find a <em>positive</em> sign on the coefficient. Since the index is as described above, a non-corruption index, higher values mean less corruption. So what they find is that <em>less</em> corruption is correlated with <em>higher</em> inflation. Irrespective of whether this can stand reason, their findings are also incredibly large: if you move up the ladder by one point in the ICRG scale (less corruption), the corresponding inflation will be <strong><em>10 percentage points</em></strong> higher(i.e. if it was, say, 5%, it will become 15%). This is too large to be believable even if the direction of association is to be accepted. Despite this, this is a survey, so <em>lots</em> of references.  </p>

<p><a href="http://www.sciencedirect.com/science/article/pii/S0165176511002631" rel="nofollow"><strong>Blackburn, K., &amp; Powell, J. (2011). Corruption, inflation and growth. Economics Letters, 113(3), 225-227.</strong></a><br>
This is a theoretical model. as the authors write:</p>

<blockquote>
  <p><em>"We present a model in which the embezzlement of tax revenues by public
  officials leads the government to rely more on seigniorage to finance
  its expenditures. This raises inflation which depresses investment and
  growth via a cash-in-advance constraint."</em></p>
</blockquote>

<p>So here we have a <em>causative</em> theoretical argument about why increased corruption causes increased inflation.</p>

<p><a href="http://www.sciencedirect.com/science/article/pii/S0264999311002562" rel="nofollow"><strong>Bittencourt, M. (2012). Inflation and economic growth in Latin America: some panel time-series evidence. Economic Modelling, 29(2), 333-340.</strong></a><br>
Four Latin American countries (Argentina, Bolivia, Brazil, Peru) for the period 1970-2007. As the authors note, these four countries account for $\approx 70$% of total GDP and population in South America (for 2009). The dependent variable on their regressions is the growth rate, while both inflation and a composite "political situation" variable are included as regressors. The "political situation" variable again increases with increased transparency and controls on power, and so it can be expected to correlate <em>negatively</em> with corruption (i.e. the higher its value, the less corruption). For our purpose we need to look not at the regression results but at the correlation matrix of the regressors: there we see that the political situation variable is negatively correlated with inflation, with correlation coefficient $-0.142$ (so again, more corruption is associated with more inflation).</p>

<p>Overall, it appears that scholars have empirically detected a positive correlation between the level of corruption and the level of inflation, and also offered theoretical insights on how this can come about, although one theoretical model argues in favor of a causal effect from inflation to corruption, while the other from corruption to inflation. Since both arguments seem reasonable, one could think that it may be the case of a vicious feedback spiral.</p>

CC BY-SA 3.0
2014-12-13T15:10:25.253Z
2014-12-30T06:30:12.493Z
2014-12-30T06:30:12.493Z
Alecos Papadopoulos
<p>This week there was news that some prices are rising. I heard that in some countries where corruption is high the prices are also higher. I wonder if there is causaility or just both at same. It would be interesting to find some material to support if the claim is true. Is there some study e.g. comparing prices levels for energy and testing whether corruption levels in an economy (bribing, black market, unregulated markets) influences prices?</p>

CC BY-SA 3.0
2014-12-13T07:54:37.117Z
Did you have a link to an example of an article that you read about this?
jmbejara
CC BY-SA 3.0
2014-12-13T09:44:54.463Z
It appears there exist some related studies. I will prepare an answer in a few hours.
Alecos Papadopoulos
<econometrics><markets><effective-price>
Can econometrics test for correlation or causality between prices and corruption?
Niklas Rosencrantz
# Can econometrics test for correlation or causality between prices and corruption?

(Asked by: username_0 on 2014-12-13)

This week there was news that some prices are rising. I heard that in some countries where corruption is high the prices are also higher. I wonder if there is causaility or just both at same. It would be interesting to find some material to support if the claim is true. Is there some study e.g. comparing prices levels for energy and testing whether corruption levels in an economy (bribing, black market, unregulated markets) influences prices?

**Tags:** econometrics, markets, effective-price
> **Comments:**
> **username_1**: Did you have a link to an example of an article that you read about this?  
> **username_2**: It appears there exist some related studies. I will prepare an answer in a few hours.  

---

## 3 answers

### Answer by username_2 on 2014-12-13. Score: 12 | Accepted answer

Some related studies:

**[Al-Marhubi, F. A. (2000). Corruption and inflation. Economics Letters, 66(2), 199-202.](http://www.sciencedirect.com/science/article/pii/S016517659900230X)**  
The analysis is based on cross-country data consisting of 41 countries from Asia and Latin America for which data is available on four alternative indices of corruption (two from Transparency International, one is the Business International index, and the fourth from another economics study). Note that numerically, these are essentially *non-corruption* indicators -they range from $0=$ **maximum corruption** to $10=$ **no corruption**. The panel covers the period 1980-1995. Four alternative OLS regressions were run (each with one corruption indicator present), with heteroskedasticity-robust standard errors. In all cases a statistically significant positive correlation between corruption and inflation was found.

**How large a correlation (to judge its *economic* significance also)?** The dependent variable was the *logarithm* of inflation. The value of the coefficient on the corruption variable was on average $-0.22$. Given how the indicators are defined, the minus sign says that less corruption = less inflation. The actual value roughly says that $1/5$ of inflation was associated with corruption. So if the inflation was, say $10$%, **2 percentage points can be attributed to corruption**. Not small.

**[Braun, M. & Di Tella R., (2004). Inflation, inflation variability, and corruption. Economics & Politics, 16(1), 77-100.](http://onlinelibrary.wiley.com/doi/10.1111/j.1468-0343.2004.00132.x/abstract)**  
They examine the *reverse relationship*: inflation facilitates corruption. They present a theoretical model, and also empirical evidence. For the theoretical model they write:

> *"(...)high variability of inflation can make over-invoicing by
> procurement officers and under-invoicing by salespersons easier
> because it makes auditing more expensive to the principal".*

So here there is a *causative* theoretical argument as to why unstable prices increase corruption.

Their data relates to 75 countries and for the period 1980-1994:

> Algeria, Argentina, Austria, Bahamas, Bahrain, Bangladesh, Belgium,
> Bolivia, Botswana, Burkina Faso, Cameroon, Canada, Chile, Colombia,
> Costa Rica, Cote d’Ivoire, Cyprus, Denmark, Dominican Republic,
> Ecuador, Egypt, El Salvador, Ethiopia, Finland, France, Gambia,
> Germany, Ghana, Greece, Guatemala, Haiti, Honduras, Hungary, India,
> Indonesia, Israel, Italy, Jamaica, Japan, Jordan, Kenya, Korea
> (South), Luxembourg, Madagascar, Malaysia, Malta, Mexico, Morocco,
> Myanmar, Netherlands, Niger, Nigeria,Norway, Pakistan, Paraguay, Peru,
> Philippines, Portugal, Senegal, Singapore, South Africa, Spain, Sri
> Lanka, Suriname, Sweden, Switzerland, Thailand, Togo, Trinidad and
> Tobago, Turkey, United Kingdom, USA, Uruguay, Venezuela, Zimbabwe.

Here the dependent variable is the corruption index. They use the **International Country
Risk Guide (ICRG)**, that ranges from $0$ to $6$. Here too, a higher score means *less* corruption. They regress it (among various controls), on *inflation variance* (since what they want to test is whether an unstable price system introduces noise into transactions that facilitates corruption). They find statistically significant regression coefficients with values around $0.5$. They even find that inflation variability correlates more strongly with corruption, than inflation itself. Lots of references.

**[Dreher, A., & Herzfeld, T. (2005). The economic costs of corruption: A survey and new evidence. Public Economics, 506001.](http://core.kmi.open.ac.uk/download/pdf/9312682.pdf)**  
A more general study on the costs of corruption, looking also at inflation. For their empirical study (71 countries, 1975-2001), they also use the ICRG index. They regress the level of inflation on this index, and they find a *positive* sign on the coefficient. Since the index is as described above, a non-corruption index, higher values mean less corruption. So what they find is that *less* corruption is correlated with *higher* inflation. Irrespective of whether this can stand reason, their findings are also incredibly large: if you move up the ladder by one point in the ICRG scale (less corruption), the corresponding inflation will be ***10 percentage points*** higher(i.e. if it was, say, 5%, it will become 15%). This is too large to be believable even if the direction of association is to be accepted. Despite this, this is a survey, so *lots* of references.

[**Blackburn, K., & Powell, J. (2011). Corruption, inflation and growth. Economics Letters, 113(3), 225-227.**](http://www.sciencedirect.com/science/article/pii/S0165176511002631)  
This is a theoretical model. as the authors write:

> *"We present a model in which the embezzlement of tax revenues by public
> officials leads the government to rely more on seigniorage to finance
> its expenditures. This raises inflation which depresses investment and
> growth via a cash-in-advance constraint."*

So here we have a *causative* theoretical argument about why increased corruption causes increased inflation.

[**Bittencourt, M. (2012). Inflation and economic growth in Latin America: some panel time-series evidence. Economic Modelling, 29(2), 333-340.**](http://www.sciencedirect.com/science/article/pii/S0264999311002562)  
Four Latin American countries (Argentina, Bolivia, Brazil, Peru) for the period 1970-2007. As the authors note, these four countries account for $\approx 70$% of total GDP and population in South America (for 2009). The dependent variable on their regressions is the growth rate, while both inflation and a composite "political situation" variable are included as regressors. The "political situation" variable again increases with increased transparency and controls on power, and so it can be expected to correlate *negatively* with corruption (i.e. the higher its value, the less corruption). For our purpose we need to look not at the regression results but at the correlation matrix of the regressors: there we see that the political situation variable is negatively correlated with inflation, with correlation coefficient $-0.142$ (so again, more corruption is associated with more inflation).

Overall, it appears that scholars have empirically detected a positive correlation between the level of corruption and the level of inflation, and also offered theoretical insights on how this can come about, although one theoretical model argues in favor of a causal effect from inflation to corruption, while the other from corruption to inflation. Since both arguments seem reasonable, one could think that it may be the case of a vicious feedback spiral.


---

### Answer by username_3 on 2014-12-18. Score: 6

While it´s true that there is no direct relationship between corruption and inflation, there are mechanisms which can lead to corruption acting to influence inflation through the monetary system.

Inflation is primarily a direct function of the money supply, and an inverse function of total production. If corruption takes the form of corrupt bank lending, where loans are made to people who are not going to repay them, and in particular if this leads to a higher rate of lending than repayment, then the resulting excess money supply creation will cause inflation.

Corrupt production practices can also lead to inflation, if they result in lower production, or if cartels and monopolistic organisations are allowed to control the price, or if direct manipulation of the markets themselves occur. All these can create higher prices than would otherwise be the case.

Monetary phenomena such as inflation, have to be measured over far longer periods of time than 2-3 years as in this example - because the system itself responds very sluggishly. But if you look at the money supply figures for the Ukraine, or indeed for Russia, it´s clear that they both continue to expand extremely fast, indicating that something is not right in the state of their banking systems with respect to their lending practices.

Iceland in the 2005-7 period is another good example of a country whose banking system is now known to have engaged in extremely corrupt practices - as a result of which their money supply more than doubled - but experienced the high inflation somewhat later.

> **Comments:**
> **username_2**: (+1) Good answer that provides a picture related also to the private sector, apart from the standard "public sector corruption" issue.  

---

### Answer by username_4 on 2014-12-18. Score: 3

Corruption undermines its country economy, and that *eventually* causes inflation, **but**: there are known examples of extreme corruption cohabiting with little to no inflation for some period of time, like Ukraine 2011-2013.

Quoting [Wikipedia](http://en.wikipedia.org/wiki/Corruption_in_Ukraine):

> In 2014's Transparency International Corruption Perceptions Index Ukraine was ranked 142th out of the 175 countries investigated (tied with Uganda and the Comoros). Back in 2007 Ukraine had taken 118th place (179 countries investigated that year). Ernst & Young (in 2012) put Ukraine *among the three most corrupted nations of the world* together with Colombia and Brazil.
>
> United States diplomats have described Ukraine under Presidents Kuchma and Yushchenko as a *kleptocracy*, according to Wikileaks cables.

Yet, with all of that scary corruption - the inflation index was very low - and in 2013 it was even negative!:
<http://data.worldbank.org/indicator/FP.CPI.TOTL.ZG/countries/UA?display=graph>

So, **NO - there is no clear and immediate correlation between corruption and inflation.** But there certainly is some causality, like in aforementioned example - inflation Ukraine in 2014 was well above 100%.


---

