Juan José PriceAdolfo Ibáñez University · School of Business
Juan José Price
Doctor of Philosophy
About
5
Publications
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Introduction
Skills and Expertise
Publications
Publications (5)
We derive and empirically apply an input-oriented distance function based on the stochastic ray production function suggested by Löthgren (1997, 2000). We show that the derived ray-based input distance function is suitable for modeling production technologies based on logarithmic functional forms (e.g., Cobb-Douglas and Translog) when control over...
According to Baumol’s Cost Disease in some productive activities that are labor intensive and where labor saving technological change is low or absent, labor productivity tends to be stagnant. However, since these sectors compete for the same inputs, their wage bill increases according to the average productivity growth in the economy. As a consequ...
El argumento de la enfermedad de costos de Baumol señala que la producción de determinados servicios está, por razones estructurales, caracterizada por un estancamiento de la productividad. Sin embargo, en vista de que estos sectores compiten por factores de producción con otras áreas de la economía en las que la productividad sí aumenta, los costo...
This paper tries to answer the following questions: Are there economic reasons that justify public support to the cultural sector? What are the possible forms that support can take? And, can the economic value of culture be defined and measured? The author argues that the existence of market failures is a necessary but not a sufficient condition fo...
Questions
Question (1)
Dear all
Does anyone know how to implement a minimum distance estimator in Stata? I have the parameters and the var/cov matrix from an unrestricted model and would like to estimate the following function:
Br = argmin(Br - Bu)*IM*(Br - Bu) subject to fi(xi, Br) >= 0
with IM the inverse of the var/cov matrix, Bu the Betas from the unrestricted model, Br the Betas from the restricted model and fi the derivative of the dependent variable with respect to each of the regressors (this is a translog production function, hence this derivatives do not correspond to the first order coefficient of the corresponding regressor but depends also on the crossed-effects, but that is not really relevant). How can I to do this in Stata?
Please lend me a hand. This is the last thing I need to finish and publish the first article of my phd.
I posted on the Stata forum but haven’t got a response yet and this really urges me.
Please.
Thank you all,
Juan
