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Price dispersion can be viewed as a measure of trading frictions (or, tautologically, as a violation of the law of one price). It is often attributed to consumer search costs or unmeasured attributes (such as the reputation) of the retailing outlets involved. There is a difference between price dispersion and price discrimination. The latter ...
Named after economists Orris C. Herfindahl and Albert O. Hirschman, it is an economic concept widely applied in competition law, antitrust regulation, [1] and technology management. [2] HHI has continued to be used by antitrust authorities, primarily to evaluate and understand how mergers will affect their associated markets.
Downside risk was first modeled by Roy (1952), who assumed that an investor's goal was to minimize his/her risk. This mean-semivariance, or downside risk, model is also known as “safety-first” technique, and only looks at the lower standard deviations of expected returns which are the potential losses.
There are potential consumer heterogeneities for search costs being consistent with market observations (search costs can be 0 and negative). [5] In 1989, Ingemar Stahl expanded on Diamond's model; the model has the same assumptions as Diamond's model with the additions of ‘shoppers’ (μ) having a range of search costs ( − v e : + v e ...
Volatility does not measure the direction of price changes, merely their dispersion. This is because when calculating standard deviation (or variance), all differences are squared, so that negative and positive differences are combined into one quantity. Two instruments with different volatilities may have the same expected return, but the ...
In economic growth literature the term "convergence" can have two meanings. The first kind (sometimes called "sigma-convergence") refers to a reduction in the dispersion of levels of income across economies. "Beta-convergence" on the other hand, occurs when poor economies grow faster than rich ones.
The average absolute deviation (AAD) in statistics is a measure of the dispersion or spread of a set of data points around a central value, usually the mean or median. It is calculated by taking the average of the absolute differences between each data point and the chosen central value.
The difference between potential output and actual output is referred to as output gap or GDP gap; it may closely track lags in industrial capacity utilization. [ 4 ] Potential output has also been studied in relation Okun's law as to percentage changes in output associated with changes in the output gap and over time [ 5 ] and in decomposition ...