Central banks in Caucasus and Central Asia (CCA) have been enhancing their monetary policy frameworks in the last decade, and are at different stages of the transition to a type of inflation targeting regimes. This paper documents their progress and the current state of their monetary policy framework, utilizing the IAPOC index developed by Unsal and others (2022) covering Independence and Accountability, Policy and Operational Strategy, and Communications, as well as drawing from central banks’ laws and websites. Additionally, an analysis of press releases from CCA central banks is conducted to evaluate their features, content, and tones. The findings highlight the need for further improvements in the areas of Independence and Accountability, as well as Communications, despite some recent advancements in the latter.
Amidst a global backdrop of persistent post-COVID inflation and spillovers from Russia’s war in Ukraine, the countries of the Caucasus and Central Asia (CCA) region have faced strong price pressures in recent years. Inflation is estimated to have peaked in early 2023, but still exceeds central bank targets. In particular, core inflation remains stubbornly high reflecting a combination of second-round effects, surges in global energy and food prices, and domestic demand pressures. More broadly, uncertainty and downside risks also weigh on the economic outlook, including due to regional tensions, financial turmoil related to international monetary policy normalization, and a growth slowdown in key trading partners. In this context, CCA countries’ ability to contain inflationary pressures and anchor inflation expectations hinges on the credibility and effectiveness of their monetary policy frameworks. Since gaining independence in the 1990s, countries in the CCA region have made considerable progress in modernizing their monetary policy frameworks. CCA central banks have strengthened their legal frameworks and established broad de-jure independence. Armenia, Georgia, Kazakhstan, the Kyrgyz Republic, and Uzbekistan are transitioning to inflation targeting regimes, while the central banks of Azerbaijan, Tajikistan, and Turkmenistan rely on the exchange rate as an operational target. However, the post-COVID surge in inflation has highlighted the limitations of current frameworks and triggered a fresh policy debate on the need to strengthen monetary policy effectiveness in the CCA. This paper reviews the CCA region’s monetary policy landscape, highlights challenges in monetary policy design and implementation, and identifies areas that warrant strengthening. It draws on original surveys of country authorities, IMF country teams, and the work by Unsal and others (2022). It uses novel empirical work to analyze monetary policy transmission, the link between foreign exchange interventions and exchange rate dynamics, the drivers of financial de-dollarization, and the effects of central bank communication in the CCA.
This paper develops a new data-driven metric to capture MacroEconomic Uncertainty (MEU) in the euro area. The measure is constructed as the conditional volatility of the unforecastable components of a large set of time series, accounting for the monetary union as well as cross-country heterogeneity. MEU exhibits the largest spike at the time of the COVID-19 outbreak and is noticeably different from other more financial-oriented and policy-driven uncertainty measures. It also reveals a significant increase in inflation uncertainty in 2021-2022. Our BVAR-based analysis shows that an unexpected increase in the MEU has a negative and persistent impact on euro area's industrial production, accounting for 80 percent of its reduction during the first wave of COVID-19, therefore supporting the interpretation of COVID-19 shock as a macroeconomic uncertainty shock. Public debt increases in response to this uncertainty shock. Finally, an increase in MEU negatively affects Emerging Europe countries, contributing the most to the decline in their economic activity during this COVID-19 period.
The current wave of technological revolution is changing the way policies work. This paper examines the growth and distributional implications of three policies when “robot'' capital (a broad definition of robots, Artificial Intelligence, computers, big data, digitalization, networks, sensors and servos) is introduced in a neoclassical growth model. 1) cuts to the corporate tax rate; 2) increases in education spending; and 3) increases in infrastructure investment. We find that incorporating “robot'' capital into the model does make a big difference to policy outcomes: the trickle-down effects of corporate tax cuts on unskilled wages are attenuated, and the advantages of investment in infrastructure, and especially in education, are bigger. Based on our calibrations grounded on new empirical estimates, infrastructure investment and corporate tax cuts dominate investment in education in a "traditional" economy. However, in an economy with “robots” the infrastructure investment dominates corporate tax cuts, while investment in education tends to produce the highest welfare gains of all. The specific results, of course, may depend on the exact modeling of the technological change, but our main results remain valid and can provide more accurate welfare rankings.
Central banks, as the epitome of the economics profession and the main paragon of public institutions, can reveal key insights into gender patterns. We create a novel multidimensional survey directed at eight central banks in advanced economies (G7 national central banks and the European Central Bank), covering several aspects of gender, such as women’s participation at different seniority levels, employment trends, and human resources practices. These elements are summarized in a new comprehensive index of gender equality—Human Resources Gender Index (HRGI). We show that these central banks have room for improvement in the inclusion of women in economics professions, managerial positions, and with full time contracts. Women in central banking also face a gender pay gap. In comparison, International Financial Institutions (the International Monetary Fund, the World Bank Group, and the Organization for Economic Co-operation and Development) perform better in terms of gender equality. The HRGI index, hiring and promotion of women, and their contract types are associated with output and credit gaps, thus being of macro-critical importance. In return, some country characteristics can be related to gender equality, such as women in high-level positions, government effectiveness, and corruption.
Central banks, as the epitome of the economics profession and the main paragon of public institutions, can reveal key insights into gender patterns. We create a novel multidimensional survey directed at eight central banks in advanced economies (G7 national central banks and the European Central Bank), covering several aspects of gender, such as women’s participation at different seniority levels, employment trends, and human resources practices. These elements are summarized in a new comprehensive index of gender equality—Human Resources Gender Index (HRGI). We show that these central banks have room for improvement in the inclusion of women in economics professions, managerial positions, and with full time contracts. Women in central banking also face a gender pay gap. In comparison, International Financial Institutions (the International Monetary Fund, the World Bank Group, and the Organization for Economic Co-operation and Development) perform better in terms of gender equality. The HRGI index, hiring and promotion of women, and their contract types are associated with output and credit gaps, thus being of macro-critical importance. In return, some country characteristics can be related to gender equality, such as women in high-level positions, government effectiveness, and corruption.
The current wave of technological revolution is changing the way policies work. This paper examines the growth and distributional implications of three policies when “robot'' capital (a broad definition of robots, Artificial Intelligence, computers, big data, digitalization, networks, sensors and servos) is introduced in a neoclassical growth model. 1) cuts to the corporate tax rate; 2) increases in education spending; and 3) increases in infrastructure investment. We find that incorporating “robot'' capital into the model does make a big difference to policy outcomes: the trickle-down effects of corporate tax cuts on unskilled wages are attenuated, and the advantages of investment in infrastructure, and especially in education, are bigger. Based on our calibrations grounded on new empirical estimates, infrastructure investment and corporate tax cuts dominate investment in education in a "traditional" economy. However, in an economy with “robots” the infrastructure investment dominates corporate tax cuts, while investment in education tends to produce the highest welfare gains of all. The specific results, of course, may depend on the exact modeling of the technological change, but our main results remain valid and can provide more accurate welfare rankings.
This paper develops a new data-driven metric to capture MacroEconomic Uncertainty (MEU) in the euro area. The measure is constructed as the conditional volatility of the unforecastable components of a large set of time series, accounting for the monetary union as well as cross-country heterogeneity. MEU exhibits the largest spike at the time of the COVID-19 outbreak and is noticeably different from other more financial-oriented and policy-driven uncertainty measures. It also reveals a significant increase in inflation uncertainty in 2021-2022. Our BVAR-based analysis shows that an unexpected increase in the MEU has a negative and persistent impact on euro area's industrial production, accounting for 80 percent of its reduction during the first wave of COVID-19, therefore supporting the interpretation of COVID-19 shock as a macroeconomic uncertainty shock. Public debt increases in response to this uncertainty shock. Finally, an increase in MEU negatively affects Emerging Europe countries, contributing the most to the decline in their economic activity during this COVID-19 period.
Amidst a global backdrop of persistent post-COVID inflation and spillovers from Russia’s war in Ukraine, the countries of the Caucasus and Central Asia (CCA) region have faced strong price pressures in recent years. Inflation is estimated to have peaked in early 2023, but still exceeds central bank targets. In particular, core inflation remains stubbornly high reflecting a combination of second-round effects, surges in global energy and food prices, and domestic demand pressures. More broadly, uncertainty and downside risks also weigh on the economic outlook, including due to regional tensions, financial turmoil related to international monetary policy normalization, and a growth slowdown in key trading partners. In this context, CCA countries’ ability to contain inflationary pressures and anchor inflation expectations hinges on the credibility and effectiveness of their monetary policy frameworks. Since gaining independence in the 1990s, countries in the CCA region have made considerable progress in modernizing their monetary policy frameworks. CCA central banks have strengthened their legal frameworks and established broad de-jure independence. Armenia, Georgia, Kazakhstan, the Kyrgyz Republic, and Uzbekistan are transitioning to inflation targeting regimes, while the central banks of Azerbaijan, Tajikistan, and Turkmenistan rely on the exchange rate as an operational target. However, the post-COVID surge in inflation has highlighted the limitations of current frameworks and triggered a fresh policy debate on the need to strengthen monetary policy effectiveness in the CCA. This paper reviews the CCA region’s monetary policy landscape, highlights challenges in monetary policy design and implementation, and identifies areas that warrant strengthening. It draws on original surveys of country authorities, IMF country teams, and the work by Unsal and others (2022). It uses novel empirical work to analyze monetary policy transmission, the link between foreign exchange interventions and exchange rate dynamics, the drivers of financial de-dollarization, and the effects of central bank communication in the CCA.
We review the literature on the effects of Artificial Intelligence (AI) adoption and the ongoing regulatory efforts concerning this technology. Economic research encompasses growth, employment, productivity, and income inequality effects, while regulation covers market competition, data privacy, copyright, national security, ethics concerns, and financial stability. We find that: (i) theoretical research agrees that AI will affect most occupations and transform growth, but empirical findings are inconclusive on employment and productivity effects; (ii) regulation has focused primarily on topics not explored by the academic literature; (iii) across countries, regulations differ widely in scope and approaches and face difficult trade-offs.
Central banks in Caucasus and Central Asia (CCA) have been enhancing their monetary policy frameworks in the last decade, and are at different stages of the transition to a type of inflation targeting regimes. This paper documents their progress and the current state of their monetary policy framework, utilizing the IAPOC index developed by Unsal and others (2022) covering Independence and Accountability, Policy and Operational Strategy, and Communications, as well as drawing from central banks’ laws and websites. Additionally, an analysis of press releases from CCA central banks is conducted to evaluate their features, content, and tones. The findings highlight the need for further improvements in the areas of Independence and Accountability, as well as Communications, despite some recent advancements in the latter.
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.