Non-parametric Modelling of Spatial Price Relationships

Non-parametric Modelling

Parametric and Non-parametric System Modelling

The conditional parametric model is an extension of the well known linear regression model, obtained by replacing the parameters by smooth functions. Estimation in such models may be accomplished by fitting a, possibly larger, linear model locally to some explanatory variable(s). In this report the conditional parametric model is described together with a method of estimation. An S-PLUS / R imp...

Parametric and non-parametric approaches to price and tax reform

In many public policy problems, we need to estimate the way in which policy changes affect people’s behavior. In the analysis of tax and subsidy reform, which is the topic of this paper, we need to know how tax-induced price changes affect the amounts that people buy of the taxed goods. We present various economic and statistical approaches to obtaining the estimates that are required. We consi...

A Non-Parametric Approach to Spatial Causality

The purpose of this paper is to show the capacity of a new non-parametric test based on symbolic entropy and symbolic dynamics to deal with the detection of linear and non-linear spatial causality. The good performance of the new test in detecting spatial causality and causal weighting matrix is notable and gives rise to an expectation that it may form a adequate tool for constructive specifica...

Non-parametric Production Analysis under Alternative Price Conditions

The literature on non-parametric production analysis has formulated tests for profit maximizing behavior that do not require a parametric specification of technology. Negative test results have conventionally been interpreted as inefficiency, or have been attributed to data perturbations. In this paper, we exploit the possibility that negative test results reveal violations of the underlying ne...