ECON 3210 Lecture Notes - Lecture 3: Econometrics, Econometric Model, Intelligence Quotient

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Our econometric model is wage = 0 + 1education + 2experience + 3training + u. The last term is u, called the error term or disturbance. It plays a very important role in econometrics, representing all other factors that can affect wage, including native intelligence, motivation, etc. The error term can also capture measurement problems in one or more of the variables. No matter how many more variables (say, an iq test score for native intelligence) we add to any econometric model, we can never eliminate the error entirely that is, we can never fully explain the outcome data. Important: dealing with the error term is perhaps the most important part of any econometric analysis. If we kept going with this example, we would want to use statistical methods, and data, to estimate and test hypotheses about the parameters. For example, the hypothesis that job training has no effect on wage is 3 =

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