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The Beveridge curve, or UV curve, was developed in 1958 by Christopher Dow and Leslie Arthur Dicks-Mireaux. [2] [3] They were interested in measuring excess demand in the goods market for the guidance of Keynesian fiscal policies and took British data on vacancies and unemployment in the labour market as a proxy, since excess demand is unobservable.
Okun's law is an empirical relationship. In Okun's original statement of his law, a 2% increase in output corresponds to a 1% decline in the rate of cyclical unemployment; a 0.5% increase in labor force participation; a 0.5% increase in hours worked per employee; and a 1% increase in output per hours worked (labor productivity).
Unemployment is an example of a countercyclical variable. [4] Similarly, business failures and stock market prices tend to be countercyclical. In finance, an asset that tends to do well while the economy as a whole is doing poorly is referred to as countercyclical, and could be for example a business or a financial instrument whose value is ...
With cyclical unemployment, the number of unemployed workers exceeds the number of job vacancies and so even if all open jobs were filled, some workers would still remain unemployed. Some associate cyclical unemployment with frictional unemployment because the factors that cause the friction are partially caused by cyclical variables.
There are many domestic factors affecting the U.S. labor force and employment levels. These include: economic growth; cyclical and structural factors; demographics; education and training; innovation; labor unions; and industry consolidation [2] In addition to macroeconomic and individual firm-related factors, there are individual-related factors that influence the risk of unemployment.
In the diagram, the long-run Phillips curve is the vertical red line. The NAIRU theory says that when unemployment is at the rate defined by this line, inflation will be stable. However, in the short-run policymakers will face an inflation-unemployment rate trade-off marked by the "Initial Short-Run Phillips Curve" in the graph.
Seasonal adjustment or deseasonalization is a statistical method for removing the seasonal component of a time series.It is usually done when wanting to analyse the trend, and cyclical deviations from trend, of a time series independently of the seasonal components.
Macroeconomics is traditionally divided into topics along different time frames: the analysis of short-term fluctuations over the business cycle, the determination of structural levels of variables like inflation and unemployment in the medium (i.e. unaffected by short-term deviations) term, and the study of long-term economic growth.