Conventional and Current way of Interpretation and Cost Forecasting
This study discuses Short-term cost interpretation, regression analysis with time-series data, long term cost interpretation, Regression analysis using cross-section data, cost forecasting and Changes in the productivity of production factors. Short-term cost interpretation lead to short-term decisions, the concept of incramental costs has a very important role which includes variable costs and changes in fixed costs. Long term cost interpretation to analyze the production function of several different firms, long-run cost estimates can be used. Based on these conditions, the estimation of long-term costs uses cross-section data. Forecasting costs for various levels of output in the coming period requires an assessment of changes in the efficiency of the production process physically, plus changes in the prices of production factors used in the production process.
Acién, F. G., Fernández, J. M., Magán, J. J., & Molina, E. (2012). Production cost of a real microalgae production plant and strategies to reduce it. Biotechnology advances, 30(6), 1344-1353.
Browning, T. R., & Heath, R. D. (2009). Reconceptualizing the effects of lean on production costs with evidence from the F-22 program. Journal of operations management, 27(1), 23-44.
Easton, P., Taylor, G., Shroff, P., & Sougiannis, T. (2002). Using forecasts of earnings to simultaneously estimate growth and the rate of return on equity investment. Journal of Accounting Research, 40(3), 657-676.
Fisher, M., & Raman, A. (1996). Reducing the cost of demand uncertainty through accurate response to early sales. Operations research, 44(1), 87-99.
Joskow, P. L. (1985). Vertical integration and long-term contracts: The case of coal-burning electric generating plants. Journal of Law, Economics, & Organization, 1(1), 33-80.
Miller, M. H., & Modigliani, F. (1966). Some estimates of the cost of capital to the electric utility industry, 1954-57. The American Economic Review, 56(3), 333-391.
Mueller, D. C. (1986). Profits in the long run. Cambridge University Press.
Pindyck, R. S. (1999). The long-run evolutions of energy prices. The energy journal, 20(2).
Woodward, D. G. (1997). Life cycle costing—Theory, information acquisition and application. International journal of project management, 15(6), 335-344.
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