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This price equals the cost-price and normal profit on production capital invested which applies to the new output of a specific enterprise when this output is sold by the enterprise (the "individual production price" [33]). The rate of profit involved in this production price can be compared to the average rate of profit that obtains for a ...
In the long run, all factors of production are variable and subject to change in response to a given increase in production scale. In other words, returns to scale analysis is a long-term theory because a company can only change the scale of production in the long run by changing factors of production, such as building new facilities, investing ...
Forecasting is the process of making predictions based on past and present data. Later these can be compared with what actually happens. For example, a company might estimate their revenue in the next year, then compare it against the actual results creating a variance actual analysis.
The best form of the equation to use and the values of the parameters (, …,) vary from company to company and industry to industry. In the short run, production function at least one of the 's (inputs) is fixed. In the long run, all factor inputs are variable at the discretion of management.
The calculation for the output gap is (Y–Y*)/Y* where Y is actual output and Y* is potential output. If this calculation yields a positive number it is called an inflationary gap and indicates the growth of aggregate demand is outpacing the growth of aggregate supply—possibly creating inflation; if the calculation yields a negative number it is called a recessionary gap—possibly ...
Capacity utilization or capacity utilisation is the extent to which a firm or nation employs its installed productive capacity (maximum output of a firm or nation). It is the relationship between output that is produced with the installed equipment, and the potential output which could be produced with it, if capacity was fully used. [1]
The weighted growth rates of inputs (factors of production) are subtracted from the weighted growth rates of outputs. Because the accounting result is obtained by subtracting it is often called a "residual". The residual is often defined as the growth rate of output not explained by the share-weighted growth rates of the inputs. [7]: 6
In statistics, efficiency is a measure of quality of an estimator, of an experimental design, [1] or of a hypothesis testing procedure. [2] Essentially, a more efficient estimator needs fewer input data or observations than a less efficient one to achieve the Cramér–Rao bound.