![]() ![]() 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: 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 Major Properties/Features of the Cobb-Douglas Production Function If +1, it exhibits constant returns to scale (CRS) If +>1, it exhibits increasing. 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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