Abstract:

The Covid-19 pandemic and the exchange rate shock that the Turkish economy has been subjected to have put pressure on inflation in that nation’s economy, which is reliant on imported inputs for production. Accordingly, in this study, the relationship between the monthly consumer price index, producer price index, and real effective exchange rate in Türkiye between the years 2004-2021 was examined by the time series analysis method. Augmented Dickey-Fuller and Phillips-Perron unit root tests were used to determine the stationarity levels of the data in time series analysis. According to the findings of the unit root tests, the Autoregressive Distributed Lag-Bound test was utilized to ascertain the cointegration relationship between the data. The Toda-Yamamoto causality test was employed in the analysis’ last stage to determine whether there was a statistical correlation between the data. The empirical results are that the real effective exchange rate, inflation, and producer price index are data that can affect each other in the long run in Türkiye. In the study, it has been determined that a 1% increase in the producer price index in Türkiye, in the long run, will create a 0.40% increase in inflation. In the long run, the relationship between inflation and the real effective exchange rate is statistically insignificant. The Toda-Yamamoto causality test results, on the other hand, reveal that there is a one-way causality relationship from the producer price index to inflation, but a bidirectional causality relationship between the real effective exchange rate and the producer price index.

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