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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]
Given this kind of data, the estimated coefficient on years of education in the equation above reflects both the effect of education on wages and the effect of other variables on wages, if those other variables were correlated with education. For example, people born in certain places may have higher wages and higher levels of education.
The data type is a fundamental concept in statistics and controls what sorts of probability distributions can logically be used to describe the variable, the permissible operations on the variable, the type of regression analysis used to predict the variable, etc. The concept of data type is similar to the concept of level of measurement, but ...
This graph demonstrates seasonally Adjusted Average Weekly Wage Growth in the UK, which data obtained data from the Office for National Statistics [14] Like the other advanced countries, the United Kingdom had the record low wage growth of −2.60 per cent in 2009 from the GFC, yet the wage growth has been slowly improving in recent years and ...
With controls for these variables in place, the data showed that women earned, on average, 20% less than men during the entire period 1983 to 2000. In a subsequent study, GAO found that the Equal Employment Opportunity Commission and the Department of Labor "should better monitor their performance in enforcing anti-discrimination laws." [47 ...
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.
In economics, the wage share or labor share is the part of national income, or the income of a particular economic sector, allocated to wages . It is related to the capital or profit share, the part of income going to capital, [1] which is also known as the K–Y ratio. [2] The labor share is a key indicator for the distribution of income. [3]
The wage curve [1] is the negative relationship between the levels of unemployment and wages that arises when these variables are expressed in local terms. According to David Blanchflower and Andrew Oswald (1994, p. 5), the wage curve summarizes the fact that "A worker who is employed in an area of high unemployment earns less than an identical individual who works in a region with low ...