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Leading Indicator Project : Lithuania

The authors present a method for forecasting growth cycles in economic activity, measured as total industrial production. They construct a series which they aggregate into a composite leading indicator to predict the path of the economy in Lithuania. The cycle is the result of the economy's dev...

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Bibliographic Details
Main Authors: Everhart, Stephen S., Duval-Hernandez, Robert
Language:en_US
Published: World Bank, Washington, DC 2015
Subjects:
growth models
cyclical swings
economic growth
industrial production
aggregate variability
economic indicators
growth patterns
economic forecasts
indexes of economic conditions
financial indicators
monetary indexes
real variables
business data processing
statistical information
industrialized societies
transition economies
benchmark
burns
carbon
carbon dioxide
carbon dioxide emissions
central banks
correlations
economic activity
economic development
economic research
emissions
emissions taxes
employment
environmental policy
exchange rate
exercises
forecasts
forestry
free trade
growth rate
interest rate
interest rates
joint implementation
leading indicators
macroeconomics
methodology
modeling
multilateral trade
private sector
reliability
research working papers
survey data
techniques
time series
time series analysis
trade liberalization
trough
unemployment
variability
violence
weighting
welfare effects
Online Access:http://hdl.handle.net/10986/21459

Internet

http://hdl.handle.net/10986/21459

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