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Random variables are usually written in upper case Roman letters, such as or and so on. Random variables, in this context, usually refer to something in words, such as "the height of a subject" for a continuous variable, or "the number of cars in the school car park" for a discrete variable, or "the colour of the next bicycle" for a categorical variable.
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In common usage, "significant" usually means "noteworthy" or "of substantial importance". In econometrics—the use of statistical techniques in economics—"significant" means "unlikely to have occurred by chance". For example, suppose one wishes to find if the minimum wage rate affects firms' decisions on how much labor to hire. If the data ...
Econometrics is an application of statistical methods to economic data in order to give empirical content to economic relationships. [1] More precisely, it is "the quantitative analysis of actual economic phenomena based on the concurrent development of theory and observation, related by appropriate methods of inference."
For example, $225K would be understood to mean $225,000, and $3.6K would be understood to mean $3,600. Multiple K's are not commonly used to represent larger numbers. In other words, it would look odd to use $1.2KK to represent $1,200,000. Ke – Is used as an abbreviation for Cost of Equity (COE).
An economic model is a theoretical construct representing economic processes by a set of variables and a set of logical and/or quantitative relationships between them. The economic model is a simplified, often mathematical, framework designed to illustrate complex processes.
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Bayesian econometrics is a branch of econometrics which applies Bayesian principles to economic modelling. Bayesianism is based on a degree-of-belief interpretation of probability, as opposed to a relative-frequency interpretation.