Nie ma wersji polskiej
Andrew Kanutin
Statistics
- Current Position
-
Senior Lead Economist-Statistician
- Fields of interest
-
Labour Economics,Other Special Topics,Macroeconomics and Monetary Economics
- Other current responsibilities
- 2023-
Member, ECB Thematic Group on Nature (European Central Bank)
- 2022-
Joint Chair, Thematic Group on Climate Data (European Central Bank)
- 2021-
Coordinator, Expert Group on Climate Change and Statistics (European System of Central Banks)
- Education
- 06-2019
MBA, Edinburgh Business School , Edinburgh, UK
- Professional experience
- 2019-2022
Senior Team Lead Economist-Statistician, , Statistics Directorate General, Labour Markets, Commercial and Residential Real Estate, ECB
- 2010-2019
Principal Economist-Statistician, Statistics Directorate General, Labour Markets, Commercial and Residential Real Estate, ECB
- 2009-2010
Advisor (on secondment from ECB), Central Bank of Cyprus
- 1998-2009
Economist-Statistician, ECB Statistics Directorate General, Labour markets, Commodity prices
- 1994-1998
Analyst, European Monetary Institute, Monetary Economics and Statistics Division
- 1987-1994
Analyst, Banking Division, Investment Unit, International Division, Bank of England
- 18 April 2024
- THE ECB BLOGDetails
- JEL Code
- Q54 : Agricultural and Natural Resource Economics, Environmental and Ecological Economics→Environmental Economics→Climate, Natural Disasters, Global Warming
Q56 : Agricultural and Natural Resource Economics, Environmental and Ecological Economics→Environmental Economics→Environment and Development, Environment and Trade, Sustainability, Environmental Accounts and Accounting, Environmental Equity, Population Growth
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
G29 : Financial Economics→Financial Institutions and Services→Other
- 10 August 2023
- ECONOMIC BULLETIN - BOXEconomic Bulletin Issue 5, 2023Details
- Abstract
- This box introduces experimental and analytical indicators for assessing climate change, which encompass three main categories: sustainable finance, carbon emissions and physical risks. The data remain under development and are, at this juncture, subject to caveats. The new indicators are a step towards supplying policymakers with appropriate information for assessing the exposure of financial institutions to climate change-related developments. Close interaction with stakeholders is important to this work, and the ECB is actively seeking feedback on the indicators.
- JEL Code
- C8 : Mathematical and Quantitative Methods→Data Collection and Data Estimation Methodology, Computer Programs
Q50 : Agricultural and Natural Resource Economics, Environmental and Ecological Economics→Environmental Economics→General
- 21 September 2021
- OCCASIONAL PAPER SERIES - No. 275Details
- Abstract
- This report discusses the role of the European Union’s full employment objective in the conduct of the ECB’s monetary policy. It first reviews a range of indicators of full employment, highlights the heterogeneity of labour market outcomes within different groups in the population and across countries, and documents the flatness of the Phillips curve in the euro area. In this context, it is stressed that labour market structures and trend labour market outcomes are primarily determined by national economic policies. The report then recalls that, in many circumstances, inflation and employment move together and pursuing price stability is conducive to supporting employment. However, in response to economic shocks that give rise to a temporary trade-off between employment and inflation stabilisation, the ECB’s medium-term orientation in pursuing price stability is shown to provide flexibility to contribute to the achievement of the EU’s full employment objective. Regarding the conduct of monetary policy in a low interest rate environment, model-based simulations suggest that history-dependent policy approaches − which have been proposed to overcome lasting shortfalls of inflation due to the effective lower bound on nominal interest rates by a more persistent policy response to disinflationary shocks − can help to bring employment closer to full employment, even though their effectiveness depends on the strength of the postulated expectations channels. Finally, the importance of employment income and wealth inequality in the transmission of monetary policy strengthens the case for more persistent or forceful easing policies (in pursuit of price stability) when interest rates are constrained by their lower bound.
- JEL Code
- E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
E24 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Employment, Unemployment, Wages, Intergenerational Income Distribution, Aggregate Human Capital
- 30 October 2007
- OCCASIONAL PAPER SERIES - No. 74Details
- Abstract
- The preparations for the introduction of the euro in 1999 involved the need for a new set of statistics for the euro area. Since then, significant progress has been made with regard to the coverage, timeliness and accuracy of these statistics. The reliability of the first releases - i.e. their stability in the process of later revisions - is an important quality-related feature. New data releases for the euro area have generally shown a very small or no bias, i.e. data revisions have been very modest and comparable with those of, for example, the United States or Japan. Despite the relatively small size of revisions, however, their combination with the low growth of the euro area economy may have drawn attention to such revisions of economic data for the euro area. This paper quantifies the revisions to selected key indicators in the period from the start of Monetary Union in 1999 to July 2007 and compares them with the corresponding mediumterm averages (1999-2006). The analysis covers the euro area, its six largest member countries, the United Kingdom, the United States and Japan. For this purpose, available time series for the various periods involved are used, series that record all revisions to published statistical data releases. The analysis is carried out separately for GDP growth and its expenditure components, for employment, unemployment rates, compensation per employee, labour cost indicators, industrial production, retail trade turnover and consumer prices. Overall, the evidence presented in this paper suggests that euro area data releases have generally shown a very small or no bias and have been more stable than those for individual euro area countries. Furthermore, recent euro area data how levels of revisions similar to those of the past, or levels of revisions that stabilised after the implementation of harmonised statistical concepts had largely been completed.
- JEL Code
- E01 : Macroeconomics and Monetary Economics→General→Measurement and Data on National Income and Product Accounts and Wealth, Environmental Accounts
E21 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Consumption, Saving, Wealth
E24 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Employment, Unemployment, Wages, Intergenerational Income Distribution, Aggregate Human Capital
E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
E5 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit
- 2021
- Royal Institute of Chartered Surveyors
- 2017
- Eurostat Statistical Reports
- 2015
- ESRB
- 2009
- Productivity Measurement and AnalysisMain Sources of Quarterly Labour Productivity Data For The Euro Area