Construction of composite business cycle indicators in a scarce data environment

2015 ◽  
Vol 2015 (1) ◽  
pp. 83-95
Author(s):  
Klaus Abberger ◽  
Wolfgang Nierhaus
Keyword(s):  
Business Cycle ◽  
Data Environment ◽  
Scarce Data

Forming Sources of Long-run Growth: How to Understand Them?

2014 ◽  
pp. 4-20 ◽  
Author(s):  
G. Idrisov ◽  
S. Sinelnikov-Murylev
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Economic Policy ◽  
Business Cycle ◽  
Capital Markets ◽  
Productivity Growth ◽  
Government Spending ◽  
Long Run ◽  
Accelerate Growth ◽  
Budget Institutions

The paper analyzes the inconsequence and problems of Russian economic policy to accelerate economic growth. The authors consider three components of growth rate (potential, Russian business cycle and world business cycle components) and conclude that in order to pursue an effective economic policy to accelerate growth, it has to be addressed to the potential (long-run) growth component. The main ingredients of this policy are government spending restructuring and budget institutions reform, labor and capital markets reforms, productivity growth.

Debates on monetary policy issues and economic situation: Searching for constructive comments

2016 ◽  
pp. 25-43 ◽  
Author(s):  
A. Mogilat ◽  
Y. Achkasov ◽  
A. Egorov ◽  
A. Klimovets ◽  
S. Donets
Keyword(s):  
Monetary Policy ◽  
Business Cycle ◽  
Policy Analysis ◽  
Economic Situation ◽  
Policy Issues ◽  
Macroeconomic Conditions

The article discusses approaches and instruments used in the Bank of Russia public analytical materials for analysis and forecast of macroeconomic conditions and monetary indicators. The authors focus on indicators of business cycle and monetary conditions, as crucial for monetary policy analysis. The attention is paid to issues most frequently discussed in scientific and expert literature, specifically, to new indicators and models presented in the Bank of Russia Monetary Policy Reports in 2015.

Big Data Environment and Humanities Platform

2017 ◽  
Vol 39 (5) ◽  
pp. 177-202
Author(s):  
Hyun-Cheol Choi
Keyword(s):  
Big Data ◽  
Data Environment
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