Parametric or nonparametric regression approaches to the estimation of marginal costs in dairy production? A comparison of estimation results
نویسندگان
چکیده
This paper compares various nonparametric models for the estimation of farm specific marginal costs function in the dairy sector. Specifically, locally weighted regression approaches using theory-consistent cost function frameworks as polynomials in the nonparametric approach are applied. A comparison of average marginal cost levels as well as marginal cost distributions across farms illustrates the different approaches.
منابع مشابه
THE COMPARISON OF TWO METHOD NONPARAMETRIC APPROACH ON SMALL AREA ESTIMATION (CASE: APPROACH WITH KERNEL METHODS AND LOCAL POLYNOMIAL REGRESSION)
Small Area estimation is a technique used to estimate parameters of subpopulations with small sample sizes. Small area estimation is needed in obtaining information on a small area, such as sub-district or village. Generally, in some cases, small area estimation uses parametric modeling. But in fact, a lot of models have no linear relationship between the small area average and the covariat...
متن کاملEstimation of Industrial Production Costs, Using Regression Analysis, Neural Networks or Hybrid Neural - Regression Method?
Estimation (Forecasting) of industrial production costs is one of the most important factor affecting decisions in the highly competitive markets. Thus, accuracy of the estimation is highly desirable. Hibrid Regression Neural Network is an approach proposed in this paper to obtain better fitness in comparison with Regression Analysis and the Neural Network methods. Comparing the estimated resul...
متن کاملTwo-step Smoothing Estimation of the Time-variant Parameter with Application to Temperature Data
‎In this article‎, ‎we develop two nonparametric smoothing estimators for parameter of a time-variant parametric model‎. ‎This parameter can be from any parametric family or from any parametric or semi-parametric regression model‎. ‎Estimation is based on a two-step procedure‎, ‎in which we first get the raw estimate of the parameter at a set of disjoint time...
متن کاملA Nonparametric Kernel Representation of the Agricultural Production Function: Implications for Economic Measures of Technology
The issue of production function estimation has received recent attention, particularly in agricultural economics with the advent of precision farming. Yet, the evidence to date is far from unanimous on the proper form of the production function. This paper reexamines the use of the primal production function framework using nonparametric regression techniques. Speci cally, the paper demonstrat...
متن کاملEvaluation Approaches of Value at Risk for Tehran Stock Exchange
The purpose of this study is estimation of daily Value at Risk (VaR) for total index of Tehran Stock Exchange using parametric, nonparametric and semi-parametric approaches. Conditional and unconditional coverage backtesting are used for evaluating the accuracy of calculated VaR and also to compare the performance of mentioned approaches. In most cases, based on backtesting statistics Results, ...
متن کامل