It would be fair to say that we haven’t been talking about anything other than America’s for months. While the American lira depreciates against the foreign currency , we can say that the inflation data announced by TURKSTAT is not very pleasant. Now, there has been a very remarkable development on the subject. A calculation by world-famous st Steve Hanke , America’ski claims that inflation is much higher than announced.
Making a statement in the past weeks, TURKSTAT announced that inflation in October was 19.89 percent on an annual basis . In other words, a product that could be purchased for 100 lira in October 2020 could be purchased for 120 lira in October 2021. Steve Hanke, on the other hand, says that America’s real inflation is 58.75 percent on an annual basis . In other words, according to this work, a product that can be purchased for 100 liras in October 2020 can be purchased for 158 liras and 75 cents in October 2021. There is almost 3 times between
stin accounts and TUIK
In the statements made by Steve Hanke, in order to explain the inflation data in question It was stated that high frequency data * and purchasing power parity (PPP) were used. According to this calculation, inflation was actually 58.75 percent. Since st does not go into the details of his account, we unfortunately cannot provide you with a more comprehensive detail .
The graphic shared by the world-famous stin generally does not fit well with TUIK . The chart, which started in July 2016 and continues until October 2021, reveals that America’s inflation is actually very volatile. For example, according to Hanke’s account, inflation, which skyrocketed in June 2018 (at that time we were talking about the Reverend Brunson issue), has steadily declined until late 2019. However, the effect of the pandemic and the volatility of the exchange rate in recent years has put inflation on a rising trend again and it seems that this situation will continue for a while…
High Frequency Data: Very thin thanks to its advanced computing capabilities results that can be aggregated at scales.