Search results for "regression"
showing 10 items of 2619 documents
Impact of Transport Costs on International Trade: The Case of Spanish Ceramic Exports
2003
This paper aims to investigate the determinants of maritime and overland transport costs and the role they play in deterring trade across countries. We estimate a transport cost function using data on maritime and overland transport of the ceramic sector (tiles) obtained from interviews held with Spanish logistics operators. We also study the relationship between transport costs and trade and estimate an import demand model for ceramic products. Additionally, we present a discussion on the sensitivity of trade flows and transportation costs to the existence of back-hauling, special conditions for transport and number of reloads.1 The study of modal transport (overland versus maritime) and i…
Functional Linear Regression
2018
This article presents a selected bibliography on functional linear regression (FLR) and highlights the key contributions from both applied and theoretical points of view. It first defines FLR in the case of a scalar response and shows how its modelization can also be extended to the case of a functional response. It then considers two kinds of estimation procedures for this slope parameter: projection-based estimators in which regularization is performed through dimension reduction, such as functional principal component regression, and penalized least squares estimators that take into account a penalized least squares minimization problem. The article proceeds by discussing the main asympt…
Effectiveness of Private and Public High Schools: Evidence from Finland
2019
Abstract A number of papers have compared the effectiveness of private and public schools in different institutional settings. However, most of these studies are observational and do not utilize experimental or quasi-experimental design to evaluate the value-added or the effectiveness of private schools in comparison to public schools. This study focuses on private and public high schools in Helsinki, the capital city of Finland. We use two different methods to compare private and public schools, value-added estimation and regression discontinuity design (RDD). Although based on somewhat different assumptions, both methods allow us to evaluate the causal effect of private schools on the exi…
Scad-elastic net and the estimation of individual tourism expenditure determinants
2014
This paper introduces the use of scad-elastic net in the assessment of the determinants of individual tourist spending. This technique approaches two main estimation-related issues of primary importance. So far studies of tourism literature have made a wide use of classic regressions, whose results might be affected by multicollinearity. In addition, because of the absence of robust economic theory on tourism behavior, regressor selection is often left to researcher's choice when not driven by non-optimal automatic criteria. Scad-elastic net is an OLS model that accounts for both these problems by including two types of parameters constraints, namely the smoothly clipped absolute deviation …
Bayesian two-stage regression with parametric heteroscedasticity
2008
In this paper, we expand Kleibergen and Zivot's (2003) Bayesian two-stage (B2S) model by allowing for unequal variances. Our choice for modeling heteroscedasticity is a fully Bayesian parametric approach. As an application, we present a cross-country Cobb–Douglas production function estimation.
Development Of An Econometric Model Case Study: Romanian Classification System
2015
Abstract The purpose of the paper is to illustrate an econometric model used to predict the lean meat content in pig carcasses, based on the muscle thickness and back fat thickness measured by the means of an optical probe (OptiGrade PRO).The analysis goes through all steps involved in the development of the model: statement of theory, specification of the mathematical model, sampling and collection of data, estimation of the parameters of the chosen econometric model, tests of the hypothesis derived from the model and prediction equations. The data have been in a controlled experiment conducted by the Romanian Carcass Classification Commission in 2007. The purpose of the experiment was to …
B-Spline Estimation in a Survey Sampling Framework
2021
Nonparametric regression models have been used more and more over the last years to model survey data and incorporate efficiently auxiliary information in order to improve the estimation of totals, means or other study parameters such as Gini index or poverty rate. B-spline nonparametric regression has the benefit of being very flexible in modeling nonlinear survey data while keeping many similarities and properties of the classical linear regression. This method proved to be efficient for deriving a unique system of weights which allowed to estimate in an efficient way and simultaneously many study parameters. Applications on real and simulated survey data showed its high efficiency. This …
Sustainable Mobility Planning in the Tourist Centres: the Estimation of Transport Demand.
2008
This paper on sustainable mobility planning in tourist centers is from the proceedings of 14th international Conference on Urban Transport and the Environment in the 21st Century, which was held in Malta in 2008. The authors focus on estimating the potential non-motorized transport demand and to design the supply of sustainable modes of transportation, including public transit, bicycling and walking. The authors use the tourist area of San Vito Lo Capo, the famous historical and swimming center of Sicily, as a case example. They conducted a stated preference survey in June-July 2006 to evaluate the potential demand of non-motorized transport modes, primarily bicycling, then calibrated a mul…
The Impact of Barriers on Export Behavior of a Developing Country Firms: Evidence from Tanzania
2012
The purpose of this paper is to identify main export barriers and to test empirically their impact on export behavior. A survey of 122 manufacturing firms was conducted in Tanzania between October 2008 and February 2009. The survey data were analyzed using factor analysis and the Tobit regression model. Factor analysis identified five significant barrier factors: lack of export market knowledge and information, export supply capacity constraints, inadequate export financing, inefficient regulatory framework, and poor infrastructure. The impact of the barriers on export behavior was then tested using the Tobit regression model. The results of the Tobit estimation indicated that the lack of e…
Estrategias para la elaboración de modelos estadísticos de regresión
2011
Multivariable regression models are widely used in health science research, mainly for two purposes: prediction and effect estimation. Various strategies have been recommended when building a regression model: a) use the right statistical method that matches the structure of the data; b) ensure an appropriate sample size by limiting the number of variables according to the number of events; c) prevent or correct for model overfitting; d) be aware of the problems associated with automatic variable selection procedures (such as stepwise), and e) always assess the performance of the final model in regard to calibration and discrimination measures. If resources allow, validate the prediction mo…