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Financial analysts can also use percentage analysis which involves reducing a series of figures as a percentage of some base amount. [1] For example, a group of items can be expressed as a percentage of net income. When proportionate changes in the same figure over a given time period expressed as a percentage is known as horizontal analysis. [2]
In most mathematical contexts, the independent variable is placed on the horizontal axis and the dependent variable on the vertical axis. For example, if f(x) is plotted against x, conventionally x is plotted horizontally and the value of the function is plotted vertically. This placement is often, but not always, reversed in economic graphs.
Greg Mankiw maintains the IS/MP model has "quirky features". Mankiw prefers the IS–LM model, for, according to him, it focuses on "important connections between the money supply, interest rates, and economic activity, whereas the IS/MP model leaves some of that in the background".
Between the 1940s and mid-1970s, it was the leading framework of macroeconomic analysis. Today, it is generally accepted as being imperfect and is largely absent from teaching at advanced economic levels and from macroeconomic research, but it is still an important pedagogical introductory tool in most undergraduate macroeconomics textbooks.
It first appeared as a central component of macroeconomic theory as it was taught by Paul Samuelson in his textbook, Economics: An Introductory Analysis. The Keynesian cross plots aggregate income (labelled as Y on the horizontal axis) and planned total spending or aggregate expenditure (labelled as AD on the vertical axis). [1]
The total cost curve, if non-linear, can represent increasing and diminishing marginal returns.. The short-run total cost (SRTC) and long-run total cost (LRTC) curves are increasing in the quantity of output produced because producing more output requires more labor usage in both the short and long runs, and because in the long run producing more output involves using more of the physical ...
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."
In economics, average cost (AC) or unit cost is equal to total cost (TC) divided by the number of units of a good produced (the output Q): A C = T C Q . {\displaystyle AC={\frac {TC}{Q}}.} Average cost is an important factor in determining how businesses will choose to price their products.