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Dummy Variable (statistics): Regression analysis, Econometrics, Time series, Strike action, Truth value, Coefficient of determination, Degrees of freedom (statistics), Panel data - Couverture souple

 
9786133746329: Dummy Variable (statistics): Regression analysis, Econometrics, Time series, Strike action, Truth value, Coefficient of determination, Degrees of freedom (statistics), Panel data

Synopsis

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In regression analysis, a dummy variable (also known as indicator variable or just dummy) is one that takes the values 0 or 1 to indicate the absence or presence of some categorical effect that may be expected to shift the outcome. For example, in econometric time series analysis, dummy variables may be used to indicate the occurrence of wars, or major strikes. It could thus be thought of as a truth value represented as a numerical value 0 or 1 (as is sometimes done in computer programming). Use of dummy variables usually increases model fit (coefficient of determination), but at a cost of fewer degrees of freedom and loss of generality of the model. Too many dummy variables result in a model that does not provide any general conclusions.

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