DOI: 10.5817/FAI2017-2-2 No. 2/2017
37
Exchange Rate Pass-Through in Turkey Before
and After the Adoption of Inflation Targeting Regime
Özcan Karahan
Bandırma Onyedi Eylül University
Faculty of Economics and Administrative Sciences
10200 Bandırma / Balıkesir
E-mail: okarahan@bandirma.edu.tr
Abstract: The impact of exchange rate change on the domestic price level which is
called as exchange rate pass through has long been of interest in international
economics literature. Along with the application of inflation targeting regime widely,
the focus of this interest has also evolved to examine the changes in degree and speed
of exchange rate pass through under inflation targeting regime. Turkey, adopted
Inflation Targeting (IT) as a monetary regime between 2001 and 2006 implicitly and
then explicitly, exhibits which was a genuine experience to be analyzed in this respect.
From this point of view, the goal of the study is to provide a time-series analysis of
exchange rate pass-through for Turkish economy based on single equation Error
Correction Model estimation using the monthly data under pre-IT period 1995-2000
and post-IT period 2006-2014. Thus, we try to clarify the effectiveness of inflation
targeting regime as monetary policy on the exchange rate pass-through. The findings
of the study indicate that the exchange rate pass-through decreased in the post-IT
period compared to pre- IT period. Accordingly, it can be argued that the implication
of inflation targeting regime reduced exchange rate pass through in Turkey.
Keywords: error correction model, exchange rate pass-through, inflation targeting
JEL codes: E31, E58, F31, C22
Introduction
Along with increasing globalization, international financial and business relationships
grow dramatically, which lead the exchange rate to be one of the most significant
macroeconomic factors. In this context, large fluctuations in nominal exchange rates
have also become very important from the perspectives of policy actions aiming at
macroeconomic stability. Therefore, dynamics of exchange rate and its relationships
with other macroeconomic variables need to be understood intensively. Accordingly,
understanding the impacts of exchange rate changes on other macroeconomic
variables has been the main focus of international economics literature recently. In
this literature, it appears that studies examining the impact of changes in exchange
rate on domestic price level, called as “Exchange Rate Pass Through” (ERPT) has a big
share. In fact, the number of studies focusing on ERPT tremendously has grown over
last decades.
Along with the growing interest on the ERPT, it also seems that an important number
of empirical studies have recently dealt with the impact of inflation targeting regime
on ERPT. Along with the adoption of inflation targeting regime many countries have
38
reached low and stable inflation levels. In connection with this process analysing, the
impact of inflation targeting regime on ERPT becomes a significant research agenda
for the economists. The empirical evidences mostly suggest that the degree of passthrough
decreases along with the implications of inflation targeting. After adopting
Inflation Targeting as a monetary regime in 2006 explicitly, accompanied by an
increase in the transparency of monetary policy, Turkish economy has also embarked
into a process of diminishing inflation. Accordingly, the crucial research question here
is whether the lower the inflation rate under inflation targeting regime caused the
weaker the exchange rate pass through in Turkey.
From the starting point of consideration above, this article aims to examine the impact
of the changes in nominal exchange rates and domestic prices in Turkey by using of
Error Correction Model over two different periods; the pre-Inflation Targeting period
between 1995 and 2000 and Post-inflation Targeting period between 2006 and 2014.
Thus, we try to investigate how changes in the exchange rate were transmitted to the
consumer prices in Turkey after adopting Inflation Targeting Regime explicitly in 2006
compared to previous era. By examining the Turkish case, we aim to shed some more
light on the transmission mechanism from exchange rates to prices under inflation
targeting regime. Our paper is organised as follows. Following the introduction above,
the second part describes the methodology and data. The third section presents
empirical results and includes some discussion on the relationship between exchange
rate pass through process and implementation of inflation targeting regime. The final
section concludes and suggests some policy implications.
1 Literature Review
Exchange rate fluctuation passed through to domestic price which is called as
exchange rate pass-through effect has long been of interest in the international
macroeconomics literature. The impact of exchange rate shock on price level operates
in a complex transmission mechanism depending on many factors. Accordingly,
separate estimations of the ERPT have to be conducted for different ways in the
literature. However, generally speaking, it can indicate two channels through which
changes in the exchange rate are passed on to consumer prices directly and indirectly.
In the end, we can explain the ERPT process by considering direct and indirect effects
of the exchange rate changes on domestic price levels like below (Aliyu et. al. 2009;
7-8).
The direct channel is related to the impact of exchange rate fluactions on domestic
price level via import prices. According to this, importers increase their prices in the
local currency to maintain their markups while local currency depreciates after an
increase in the nominal exchange rate. Thus, consumers have to pay much more in
the local currency to purchase the same imported consumption goods. On the other
hand, if the manufacturing sector depends on imported inputs that are priced in a
foreign currency, then depreciation of local currency results in an increase in the
production cost of manufacturing sector. In connection with that, local producers
charge consumers higher prices in order to maintain their markups. Thus, initial
depreciation of local currency causes an increase in the consumer prices. The
39
magnitude of this kind of pass-through is tightly related to the dependency of local
production on imported inputs that are priced in foreign currency. To sum up,
importers change their prices of imported consumer and producer goods proportionally
with the shift in the exchange rates and thus transfer fluactions in the exchange rates
to domestic price level.
The indirect channel is related to the effect of exchange rate fluactions on the amount
of total demand and in the level of wages. If the exchange rate increases, the imports
become more expensive for domestic buyers. This leads to a higher demand for
substitute domestic products by domestic consumers. On the other hand, demand for
exports rises while the exchange rate increases since the domestic products become
relatively cheaper for foreign buyers. This also leads to a higher demand for domestic
production by foreign buyers. In conclusion, depreciation of local currency causes
increasing total demand via a higher demand for import substitute goods by domestic
buyers and for exports by foreign buyers. This increase in the total demand, of course,
pushes the domestic price level up. Furthermore, the increasing demand for domestic
products eventually leads to a higher production and therefore a higher demand for
labour, which can be followed by an increase in wages. This increase results in further
upward pressure on the domestic prices.
When we examine the literature, it seems that studies seraching the exchange rate
pass-through previously focus only on the link between exchange rate and import
prices. Thus, previous studies mostly concentrate on exchange rate fluctuation passed
through to import prices (Swamy and Thurman 1994; Webber 1999; Campa and
Goldberg 2002; Barhoumi 2006). In detail, the exchange rate affects domestic
consumer prices through prices of imported consumer goods and the price of imported
inputs used in domestic production. To put it another way, exchange rate movements
affect domestic consumer prices via either directly prices of imported consumption
goods or indirectly prices of imported intermediate goods. Subsequently, much of the
research deals with the relationship between movements in exchange rate and
producer and consumer prices (Takhtamanova 2010; Ocran 2010; Ahn and Park
2014). Some studies in the literature also focus on the macro drivers of the exchange
rate pass-through. They indicate the factors like exchange rate and inflation volatility,
import dependence, output gap, price inertia, currency substitution and expectations
as the basic drivers of exchange rate pass-through (Choudhri and Hakura 2001;
Carranza et. al. 2009; Jimborean 2013).
Recently, it also seems that large body of literature devoted to examine the link
between the effectiveness of monetary policies adopted in the framework of inflation
targeting regime and the exchange rate pass-through process. The findings of
empirical studies generally argued that the low inflation environment recently achieved
in many countries after adopted inflation targeting regime causes a decline in the
impact of exchange rate on domestic prices. Thus, after the adoption of the inflation
target regime, the pass-through effect seems to be diminished in the most of the
countries. In this context, Reyes (2007) uses the simulations for the pass through
effect analysis under two monetary regimes crawling peg and inflation targeting.
40
Rolling Windows Correlation methodology based on stochastic stimulated data shows
that declining pass trough effects in Brazil, Chile and Mexico are results of changes in
monetary policy regimes, a switch from a crawling peg regime to an inflation targeting
regime. Thus, it is also indicated that the nominal exchange rate effects on the overall
inflation rate may no longer be an issue for emerging economies implementing inflation
targeting policy.
Odria et al (2012) tries to analyse whether the exchange rate pass-through into prices
changed when the inflation targeting scheme was adopted in Peru between 1994 and
2007. In the framework of a vector smooth transition autoregressive model (VSTAR),
analysis of the generalized impulse response functions reveals that the decision to
adopt inflation targeting significantly decreased the exchange rate pass-through into
producer and consumer prices. Thus, they indicate that adopting inflation targeting
generates a pass-through contraction. Looking at the European area, Beirne and
Bijsterbosch (2011) assess the degree of exchange rate pass through to consumer
prices using both a multivariate cointegration approach and impulse responses derived
from the VECM for nine central and eastern EU Member States based on monthly data
from 1995 to 2008. They find notable differences across countries with fixed exchange
rate regimes compared to those with more flexible regimes. Accordingly, while for the
four fixed exchange rate countries such as Bulgaria, Estonia, Latvia and Lithuania, a
hypothesis test for full pass-through cannot be rejected, for the countries with more
flexible regimes like the Czech Republic, Hungary, Poland, Romania and Slovakia, full
pass-through is rejected in all cases.
Concerning with the studies focusing on Turkey, Volkan et al (2007) also try to
determine if there has been a change in the magnitude of exchange rate passes
through for the 2003-2006 periods, when the exchange rates were allowed to float
under inflation targeting regime. Their findings indicate that exchange rate pass
through has declined for the post-2003 period by nearly one-half compared to the pre-
2003 period. In addition, the decline in the exchange rate pass-through impact on
domestic prices coincides with a 25 percent decline in the post-2003 consumer price
inflation. Another evidence of declining exchange rate pass-through in the Turkish
economy after the adoption of an inflation-targeting regime is offered by Kara and
Öğünç (2008). They employed the VAR methodology and examined the exchange rate
pass-through before and after the implication of inflation targeting. Empirical results
show that exchange rate pass-through has weakened since the adoption of inflation
targeting regime in 2001. They also argued that this finding is due mainly enhanced
credibility of the central bank acquired by the implementation of a successful inflation
targeting regime.
More recently, Dedeoğlu and Kaya (2014) employ a rolling VAR framework to examine
exchange rate pass through over the period between 1995 and 2012 in Turkey. They
find that the exchange rate pass-through has declined sharply after the adoption of
inflation targeting regime. The larger impact of exchange rate pass through on the
producer prices compared to consumer prices upwards in the inflation targeting
regime. Overall, they indicate that the disinflation period and the implementation of
41
the inflation targeting regime appears to play a significant role in the dynamics of
exchange rate pass through in Turkey. Arslaner et. al. (2014) also quantitatively
analyse exchange rate pass- through between 1986 and 2013 by using vector autoregressions
(VAR) and Markov switching regression methods. The higher degree of
exchange rate pass-through is found in Turkey. However, it is observed that exchange
rate pass through substantially decreases during the implication of inflation targeting
regime compared to pre-inflation targeting regime. They also find that exchange rate
pass-through for producer price-index-based inflation is higher than for consumerprice-index-based
inflation.
Contrary to findings presented the studies relating Turkey above, Civcir and
Akçağlayan (2010) prominently argue that the main channel in feeding the inflation in
Turkey is the depreciation of the domestic currency even under inflation targeting
although exchange rate pass through weakened and slowed compared to its degree in
crawling peg system. They analyse the exchange rate pass through and monetary
policy reaction function of the Central Bank of Republic of Turkey over the two different
periods before inflation targeting (1987-2001) and after inflation targeting (2001-
2009). Using VAR model, they show that there has been strong pass-through during
whole period while exchange rate has also been the main reaction variable for the
Central Bank. Thus, they also argue that, Central Bank, taking into account of presence
of higher level exchange rate pass through, still intervenes in the foreign exchange
rate markets against to temporary fluctuations even during the inflation targeting
period.
As can be seen from the review of studies focusing on Turkish case, it has been widely
documented that the exchange rate pass-through to domestic inflation has decreased
after adaptation of inflation targeting regime. Furthermore, existing empirical studies
estimating the impact of inflation targeting regime on exchange rate pass-through for
Turkish Economy are based on either single equation estimation or VAR models. We
will use an alternative estimation method, namely vector error correction (VEC) model
since evidence of the exchange rate pass-through based on VEC model is scarce in
Turkey. In this way, we contribute to the existing evidence on the transmission
mechanism from exchange rates to prices under inflation targeting regime by using
an alternative estimation method. Thus, it will be interesting to compare the results
from this paper model with the results of previous studies using VAR model to analyse
exchange rate pass-through in Turkey.
2 Data and Methodology
We use two basic data set including nominal exchange rate and consumer prices while
we explore the exchange rate pass through in Turkey over the period pre-Inflation
Targeting (IT) regime between 1995 and 2000 and post-IT regime between 2006 and
2014. Accordingly, the data set consist of monthly observation of TL/USD nominal
exchange rate (ER) and consumer prices (CP) covering the periods, pre-inflationtargeting
(1995-2000) and inflation-targeting (2006-2014) periods. We do not
consider the term between 2001 and 2005 since this term is a transition period to
inflation targeting and inflation targeting has only been applied implicitly in this
42
process. All of the data have been obtained from the data base of Central Bank of
Turkey (CBRT).
Looking at the econometric approach used in related literature, it seems that the
empirical papers mostly employ the methodologies based on single equation model
and vector autoregressive (VAR) model introduced by Christopher Sims (1972). In this
study, we apply cointegration analysis including vector error correction (VEC) model
introduced by Engle and Granger (1987) in order to examine the exchange rate passthrough.
Compared to single equation model and VAR model, VEC model presents two
significant advantages in order to analyse the process of exchange rate pass-through.
Firstly, coefficient of the error correction term estimated in this model can be
interpreted as the disequilibrium response of prices to exchange rate shocks, which
means speed of exchange rate pass through. Secondly, this model let us to estimate
the long run stable relationship between exchange rate and price level which shows
the degree of exchange rate pass through. To sum up, VEC model is the appropriate
estimation tool for providing significant advantage to estimate the degree and speed
of exchange rate pass through together. Thus, VEC model has the advantage of
incorporating short-run dynamic without disregarding long-run equilibrium relations
between exchange rate and price level.
In order conduct an VEC model, one can start with a bivariate autoregressive
distributed lag model such that the current value of the y is a function of its own past
value and current and past value of x (Thomas, 1993, p. 153). In this equation, C
symbolizes intercept while  shows white noise error terms.
1 2 1 1t t t t ty C x x y      (1)
subtracting 1ty  to both sides of the Equation (1) yields
1 2 1 1(1 )t t t t ty C x x y        (2)
adding and subtracting 1 1tx to right side of the Equation (2);
1 2 1 1 1 1 1 1(1 )t t t t t t ty C x x x x y           
1 1 2 1 1( ) (1 )t t t t ty C x x y          
1 2
1 1 1(1 )(
1
t t t t ty C x y x 
  
         
 
(3)
re-arranging Equation (3) in terms of (1 )    and 1 2
1
  
 
 
;
1 1 1( )t t t t ty C x y x        (4)
1 1 1( )
1
t t t t t
C
y x y x          
 
43
finally re-arranging in terms  =
1
C
 
;
1 1 1( )t t t t ty x y x       (5)
where (Yt-1 - μ - δ Xt-1) express long run relationship between X and Y. Accordingly,
δ means the coefficient of long run equilibrium relationship which shows the degree of
exchange rate pass through. The coefficient of λ refers to the speed of adjustment of
short run disequilibrium to long run equilibrium between Y and X. To put it another
way, the value of coefficient λ tells us what rate it corrects the previous period
disequilibrium of the system. When λ is significant and contains negative sign, it
validates that there exists a long run equilibrium relationship among variables Y and
X. The coefficient of β represents an immediate or short run effect of X on Y. Thus,
the coefficient β1 indicates the effect of the change in X on the change in Y, of which
will be helpful to know short run dynamics of the system. Consequently, the change
in Y as a function of the change in X plus an error correction term, where β1 describes
the short-run relationship and λ the speed of adjustment to the long run equilibrium.
As can be seen in the explanation above VEC model has the advantage of yielding an
estimate for the degree and speed of exchange rate pass through. Accordingly, ECM
given by Equation 5 will be estimated separately for both term’s consumer prices, preinflation-targeting
(1995-2000) and post-inflation targeting (2006-2014) periods.
Thus, we will try to estimate the long term pass through (δ) as well as the speed (λ)
at which the prices indices adjust to a change in the exchange rates for both terms.
3 Results and Discussion
In this section, based on single equation Error Correction Model, we empirically analyse
the exchange rate-pass through pre-inflation targeting period 1995-2000 and postinflation
targeting period 2006-2015 in Turkey. First of all, we check whether our time
series are stationary at same level or not since cointegrating necessitates that the
variables be integrated of the same order. Cointegrated variables only have a built in
error correction mechanism and subsequently cointegrating necessitates that the
variables be integrated of the same order. Thus, before setting up the cointegration
analysis and error correction model, we start with the determining the order of
integration for both of the variables Consumer Prices (CP) and Exchange Rate (ER).
The results of Augmented Dickey-Fuller (ADF) test in Table 1 suggest that nonstationary
cannot be rejected for the levels of variables. In contrast, when the data
are differenced, non-stationary can be rejected in all variables. Thus, both of the
variables Consumer Prices (CP) and Exchange Rate (ER) appear to contain a single
unit root which cancels out on first differencing. Thus, they clearly appear to be I (1)
in both pre-inflation targeting period and post-inflation targeting period.
After determined that all of the variables are I(1) for both periods, a simple OLS
regression indicated in Model 1 also runs on the levels of each variable for both periods
again.
44
t ttP ERC u  (Model 1)
Table 1 Augmented Dickey-Fuller unit root test
Variables
Pre-IT period 1995-2000 Post-IT period 2006-2014
Levels First Differ. Levels First Differ.
CP
- 3.231
(0.230)
- 11.231
(0.000)*
-2.089
(0.310)
-10.117
(0.000)*
ER
-1.346
(0.410)
-9.9837
(0.000)*
-0.346
(0.410)
-8.745
(0.000)*
Note: p-values in parenthesis; (*) indicates significance at the 1 percent level.
where CP and ER are non-stationary variables and u is the residual.
After estimation of the long run relationship in Model 1 by using OLS for both terms,
cointegration can be tested using ADF-type unit root tests on the residuals (ut) by
testing the null hypothesis of non-stationary of the residuals (ut). As can be shown in
Table 2, results of unit root tests for residuals performed by ADF asserts that the null
hypothesis of non-stationary of the residuals is rejected, which indicates that there is
a cointegration between CP and ER for both terms.
Table 2 Augmented Dickey-Fuller tests for the residuals
Pre-IT period 1995-2000 Post-IT period 2006-2014
Level
Order of
integration
Level
Order of
integration
-7.112
(0.000)*
I(0)
-8.834
(0.000)*
I(0)
Note: p-values in parenthesis; (*) indicates significance at the 1 percent level.
As the variables such as CP and ER are cointegrated for two terms, we then can run
the error correction model (ECM). Accordingly, the ECM given by Equation 5 has been
estimated in the form of Model 2 below for both term’s consumer prices separately.
1 1 1( )t t t tER ERCP CP       (Model 2)
Where δ shows the long run relationship between consumer prices (CP) and exchange
rate (ER) and hence degree of exchange rate pass through; λ refers to the speed of
adjustment of short run disequilibrium to long run equilibrium between consumer
prices (CP) and exchange rate (ER) and hence speed of exchange rate pass through.
Estimation results of ECM indicated Model 2 for both terms data is presented in Table
3. For two terms, explanatory power of the models (Adj R2
) and the statistical
significance of their regression coefficients (δ and λ) are appropriate. Results of the
Breusch-Godfrey LM Test and White test also indicate that there is no serial correlation
and no heteroscedasticity, respectively. The estimated results of the degree of
45
exchange rate pass through (δ) as well as the speed at which the prices indices adjust
to a change in the exchange rates (λ) are also presented in Table 3.
Speed of pass through or the coefficient of error correcting term (λ) in ECM estimation
appears with the expected negative coefficient, which is significantly different from
zero at the 5 percent level for both periods. Thus, empirical results support the
acceptance of cointegration or the validity of long run equilibrium relationship between
CP and ER or exchange rate passes through for both terms. Consequently, after
determination the cointegration between exchange rate and consumer prices by using
ADF Test for residuals in Table 2, we also indicated again this fact with the results of
error correction model. Besides, the coefficient of speed of adjustment are -0.347 and
-0.091 percent meaning that system corrects its previous period disequilibrium at a
speed of 34.70 and 9.10 percent monthly for pre-IT and post-IT period, respectively.
Looking at the degree of long term pass-through (δ), although they seem to be
statistically significant for both terms, the values of coefficients are 0.665 in the first
term and 0.218 in the second term. This means that, in the long run, a change in the
exchange rate is poorly transmitted to the consumer prices in post-IT period compared
to pre-IT period. Given the fact that δ symbolizes complete exchange rate pass
through when it equals one (δ =1), it can be further asserted that exchange rate pas
through for both terms are incomplete.
Table 3 Error correction model estimation
Pre-IT period
1995-2000
Post-IT period
2006-2014
Degree of pass-through (  )
0.665
(0.013) **
0.218
(0.031)**
Speed of pass-through (  )
-0.347
(0.014) **
-0.091
(0.021)**
Co-integration Relation Yes Yes
Complete pass through No No
Adj R2
0.580 0.690
Breusch-Godfrey LM Test 1.123 (0.201) 1.917 (0.241)
White Test 0.513 (0.178) 0.698 (0.271)
Note: p-value in parentheses, (**) indicates significance at the 5 percent level.
The findings of the study indicate that the pass-through effect dramatically reduce in
post-IT period (2006-2014) with the introduction of the inflation targeting practices.
In other words, we indicate a decline in the exchange rate pass-through along with
the implications of inflation targeting regime. Our findings are consistent with previous
investigation of the exchange rate pass-through under inflation targeting regime for
Turkey (Volkan et. al 2007; Kara and Öğünç 2008; Dedeoğlu and Kaya 2014; Arslaner
et. al 2014). However, although previous studies have mostly relied on single equation
or VAR models to estimate the exchange rate pass-through, we use VEC model since
this methodology is more suitable to capture the dynamics of the exchange rate pass-
46
through. Thus, we provide further evidence in support of same claim for Turkish
economy by using alternative estimation method, namely VEC model.
It is clear that under inflation targeting regime low and more stable inflation rate leads
to a decrease in the pass-through in Turkey. Indeed, recent reduction in the exchange
rate pass-through can be attributed in the low-inflation environment provided inflation
targeting regime. This fact can be arisen from several reasons in the implementation
of inflation targeting regime. The increase in the transparency of monetary policy may
raise the credibility of the central bank regarding the prospects of disinflation and
hence lower exchange rate volatility. The effects of price stability may also be reflected
by the decrease in the risk premium included in the exchanges rates charged by
economic agents.
Besides decreasing impacts of inflation targeting regime on exchange rate pass
through, it should also be noted that lower pass-through can be more advantageous
for central bank adopted inflation targeting regime. The lower the extent of passthrough
the larger will be the effectiveness of central bank’s policies. A low level of
pass-through is beneficial because the high level exchange rate pass through decrease
the flexibility of central bank for setting inflation target. Thus, on the one hand, the
degree of exchange rate pass-through into inflation is important for the effectiveness
of inflation targeting regime. But on the other hand inflation targeting regime is also
the major determinants of the weaker exchange rate pass through process. In
conclusion, this positive mutual interaction between weak exchange rate pass through
and effective inflation targeting regime may be at the root of developments in post-IT
term for Turkish economy.
Conclusions
The purpose of this paper is to evaluate the effects of the adoption of an inflation
targeting regime on the exchange rate pass-through in Turkey. Accordingly, we
examine the impact of fluactions of exchange rate on general price level before and
after adoption of inflation targeting regime in Turkey. Along with the most of the
countries adopted Inflation Targeting (IT) regime, related literature intensively focuses
on the impact of inflation targeting regime on exchange rate pass through.
Accordingly, this study also focuses on how changes in the exchange rate are
transmitted to the consumer prices in Turkey after adopting IT regime explicitly in
2006. In this framework, we examine exchange rate pass through in Turkey applying
Vector Error Correction (VEC) model for the monthly data over the pre-IT period from
1995 to 2000 and the post-IT period from 2006 to 2014.
The findings indicate that the exchange rate pass-through decreases in the post-IT
period compared to pre- IT period. Thus, as indicated previous literature on exchange
rate pass-through under inflation targeting regime in Turkey (Volkan et. al 2007; Kara
and Öğünç 2008; Dedeoğlu and Kaya 2014; Arslaner et. al 2014), our study also
presents evidence of a similar decline in the pass-through that adopted an inflation
targeting scheme. However, although previous studies used mostly the methods based
on single equation models and vector autoregressive (VAR) models, we use an
47
alternative estimation method, namely vector error correction (VEC) model. Therefore,
this study contributes to the existing evidence on the development of exchange rate
pass-through under inflation targeting regime by using alternative estimation method.
Empirical results clearly indicate that the decline in the pass-through in Turkey is the
result of the low inflation environment experienced after adoption of inflation targeting
regime. In this way, empirical results also show that development of exchange rate
passes through process in Turkey identifies the effectiveness of inflation targeting
policy. Thus, it can also be argued that monetary and correspondingly exchange rate
regimes are among the major determinants of the exchange rate pass through
process. This finding has important implications for policy-makers that the adoption of
a credible regime of low inflation under inflation targeting regime has been
instrumental in driving the exchange rate pass-through down. Accordingly, if the
central bank aims to decrease exchange rate pass-through then establishing a credible
low inflation environment under inflation targeting regime is essential.
Acknowledgements
Earlier version of this paper was presented in the European Financial System
Conference held in Brno, Czech Republic on June 18-19, 2015.
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