Green, Microe-Ĭonomic Theory, Oxford University Press, New York, Oxford, 1995, pp. Tjalling Koopmans, Three Essays on the State of Economic Science, Gerard Debreu, Theory of Value, Wiley, New York, 1959 L - Industrial Organization > L6 - Industry Studies: Manufacturing > L62 - Automobiles Other Transportation Equipment Related Parts and Equipment L - Industrial Organization > L2 - Firm Objectives, Organization, and Behavior > L25 - Firm Performance: Size, Diversification, and Scope L - Industrial Organization > L2 - Firm Objectives, Organization, and Behavior > L23 - Organization of Production Rm behaviour, production functions, returns to scale, cobbĭouglas, stochastic frontier model, non linear least squares, production sets,Ĭ - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C13 - Estimation: GeneralĬ - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models Multiple Variables > C32 - Time-Series Models Dynamic Quantile Regressions Dynamic Treatment Effect Models Diffusion Processes State Space Modelsĭ - Microeconomics > D2 - Production and Organizations > D22 - Firm Behavior: Empirical Analysisĭ - Microeconomics > D2 - Production and Organizations > D24 - Production Cost Capital Capital, Total Factor, and Multifactor Productivity Capacity Returns to scale with a Cobb-Douglas production function for a small italian mechanical firm Materials purchases, I nd evidence for slightly decreasing returns to scale Item Type: Cobb-Douglas production functions are a class of formulas that were developed based on the historically observed relationship between labor and capital. Only), while multiplicatively including an additional regressor for raw Line cobb douglas transformed in logarithms (with capital and labour Returns to scale are increasing, constant or decreasing I nd supportįor the hypothesis of slightly increasing returns to scale with the base.
Marginal increase in variable costs of 1 euro, keeping the xed costsĬonstants, leads to higher revenues up to 1.155 euro I further estimateĪ cobb douglas production function, in order to nd out whether the Revenues with a sample of eleven years of annual data, I nd that a Simultaneous equation model where variable and xed costs explain Leathing and milling in the neighbourhood of Bologna, on the Tus-Ĭan - Emilian Appennines, through the estimation of a linear bivariate With this piece of evidence, I try to she light upon the e ects of xedĪnd variable costs on revenues for a rm operating in the sector of
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