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A graph showing the gender wage gap. In regression analysis, a dummy variable (also known as indicator variable or just dummy) is one that takes a binary value (0 or 1) to indicate the absence or presence of some categorical effect that may be expected to shift the outcome. [1]
Keynes summarizes the view of classical economists that the economy should be self-adjusting if wages are fluid, and that they blame rigidity in wages for problems like unemployment. He disagrees with what he says is the orthodox view, based on the quantity theory of money , is that wage reductions have a small effect on aggregate demand, but ...
The observed batting average X/N fails to convey all of the information available in the data because it fails to report the number N of at-bats (e.g., a batting average of 0.400, which is very high, based on only five at-bats does not inspire anywhere near as much confidence in the player's ability than a 0.400 average based on 100 at-bats).
The Mincer earnings function is a single-equation model that explains wage income as a function of schooling and experience. It is named after Jacob Mincer. [1] [2] Thomas Lemieux argues it is "one of the most widely used models in empirical economics". The equation has been examined on many datasets.
Econometrics is an application of statistical methods to economic data in order to give empirical content to economic relationships. [1] More precisely, it is "the quantitative analysis of actual economic phenomena based on the concurrent development of theory and observation, related by appropriate methods of inference."
Wage differences exist, particularly in mixed and fully/partly flexible labour markets. For example, the wages of a doctor and a port cleaner, both employed by the NHS, differ greatly. There are various factors concerning this phenomenon. This includes the MRP of the worker. A doctor's MRP is far greater than that of the port cleaner.
Wage growth (or real wage growth) is a rise of wage adjusted for inflations, often expressed in percentage. [1] In macroeconomics , wage growth is one of the main indications to measure economic growth for a long-term since it reflects the consumer's purchasing power in the economy as well as the level of living standards . [ 2 ]
In 1991, Blackaby and Murphy [9] estimated standardised geographical wage differentials [note 7] and then explained these geographical wage differentials with a set of weather, [note 8] environmental [note 9] and prices indexes. [note 10] The authors include other variables based on two other theories: efficiency wage and search theory. The ...