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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.
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]
If for years 1 and 2 (possibly a span of 20 years apart), the nominal wage and price level P of goods are respectively nominal wage rate: $10 in year 1 and $16 in year 2 price level: 1.00 in year 1 and 1.333 in year 2, then real wages using year 1 as the base year are respectively: $10 (= $10/1.00) in year 1 and $12 (= $16/1.333) in year 2.
Wages adjusted for inflation in the US from 1964 to 2004 Unemployment compared to wages. Wage data (e.g. median wages) for different occupations in the US can be found from the US Department of Labor Bureau of Labor Statistics, [5] broken down into subgroups (e.g. marketing managers, financial managers, etc.) [6] by state, [7] metropolitan areas, [8] and gender.
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 ...
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.
Real wages are wages adjusted for inflation, or equivalently wages in terms of the amount of goods and services that can be bought. This term is used in contrast to nominal wages or unadjusted wages. Because it has been adjusted to account for changes in the prices of goods and services, real wages provide a clearer representation of an ...
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 ...