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A decrease in the reserve ratio will increase excess reserves.
Indicator Variables
Indicator variables, also known as dummy variables, are used in statistical models to encode categorical data into binary form for analysis.
Indicator Variables
These are binary variables in a statistical model that take on values of 0 or 1 to indicate the absence or presence of a specific characteristic or attribute.
Omitted Category
In statistical modeling, it refers to a category or group within a variable that is excluded from analysis, often serving as a baseline against which other categories are compared.
Dummy Variables
Numerical variables used in regression analysis to represent subgroups of the sample in a binary form.
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