Alina Evstigneeva

Alina Evstigneeva

Head of Division, Monetary Policy Department of the Bank of Russia

Publications

Leg, Trunk or Ear: How to Assess Central Bank Transparency

Leg, Trunk or Ear: How to Assess Central Bank Transparency

| Alina Evstigneeva

In the last decades, economists have created a number of indices of central bank transparency. However, all of them target a professional audience. We have built a new index to cover regulator efforts to communicate with a broader audience.

Why Modern Central Banks Talk So Much

Why Modern Central Banks Talk So Much

| Alina Evstigneeva

Have central banks opened up due to the increased openness of the authorities or the developments of new media? This is not the case. Openness was a response to unprecedented shocks that has helped to withstand such shocks when traditional tools have turned out to be ineffective.

The Power of Bad News: How Mass Media Influences Inflation Expectations

The Power of Bad News: How Mass Media Influences Inflation Expectations

| Alina Evstigneeva

Negative news in the media covering the overall economic situation may act as a meaningful predictor of the dynamics of Russians’ inflation expectations and their current inflation perceptions. These are most driven by news about the ruble exchange rate and economic crisis.

What is open to the Bank of Russia, while remaining closed for analysts?

What is open to the Bank of Russia, while remaining closed for analysts?

| Alina Evstigneeva, Yuliya Shchadilova, Mark Sidorovsky

A central bank may have an information advantage enabling it to better forecast macroeconomic indicators and, hence, make decisions that are not expected by the market. This advantage may exist both in reality and solely in the form of the market’s belief in it.

‘Don’t Get Me Wrong’: the Central Bank’s Language

‘Don’t Get Me Wrong’: the Central Bank’s Language

| Alina Evstigneeva, Mark Sidorovsky

Central banks strive to speak clearly and simply – this is critical to effectively targeting inflation. We assessed the comprehensibility of the Bank of Russia's communications using neural networks – it showed that the level of its texts is rather complicated for the public.