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Quantile Regression Analysis (quantile + regression_analysis)
Selected AbstractsThe Impact of Trade Liberalisation on Economic Growth: Evidence from a Quantile Regression AnalysisKYKLOS INTERNATIONAL REVIEW OF SOCIAL SCIENCES, Issue 4 2008Neil Foster SUMMARY Individual country experience with trade liberalisation has been mixed. This paper examines the relationship between liberalisation and growth for a sample of 75 liberalising countries. To consider the importance of heterogeneity in the growth response to liberalisation this paper employs quantile regression methods which allow the coefficient on liberalisation to vary across the conditional growth distribution. The results suggest that countries experiencing the lowest rates of growth benefit most from liberalisation. The results also suggest that while such countries benefit most in the long-run they are the most likely to suffer from short-run negative effects of liberalisation. [source] Under Performers and Over Achievers: A Quantile Regression Analysis of GrowthTHE ECONOMIC RECORD, Issue 248 2004Raul A. Barreto Numerous papers have searched for empirical linkages between long run economic growth and a myriad of economic, socio-political and environmental factors. Most of these studies use ordinary least-squares regression or panel regression analysis on a sample of countries and therefore consider the behaviour of growth around the mean of the conditional distribution. We extend the literature by using quantile regression to analyse long-term growth at a variety of points in the conditional distribution. By using this approach, we identify the determinants of growth for under performing countries relative to those for over achieving countries. [source] The Impact of Board Independence and CEO Duality on Firm Performance: A Quantile Regression Analysis for Indonesia, Malaysia, South Korea and ThailandBRITISH JOURNAL OF MANAGEMENT, Issue 3 2010Dendi Ramdani We study the effect of board independence and CEO duality on firm performance for a sample of stock-listed enterprises from Indonesia, Malaysia, South Korea and Thailand, applying quantile regression. Quantile regression is more powerful than classical linear regression since quantile regression can produce estimates for all conditional quantiles of the distribution of a response variable, whereas classical linear regression only estimates the conditional mean effects of a response variable. Moreover, quantile regression is better able to handle violations of the basic assumptions in classical linear regression. Our empirical evidence shows that the effect of board independence and CEO duality on firm performance is different across the conditional quantiles of the distribution of firm performance, something classical linear regression would leave unidentified. This finding suggests that estimating the quantile effect of a response variable can well be more insightful than estimating only the mean effect of the response variable. Additionally, we find a negative moderating effect of board size on the positive relationship between CEO duality and firm performance. [source] A Censored Quantile Regression Analysis of Vegetable Demand: The Effects of Changes in Prices and Total ExpenditureCANADIAN JOURNAL OF AGRICULTURAL ECONOMICS, Issue 4 2006Geir Wæhler Gustavsen Many diseases are linked to dietary behavior. One major diet-related risk factor is a low consumption of vegetables. The consumption may be increased through public policies. The effects on vegetable purchases of either removing the value added tax on vegetables or a general income support are investigated. Adverse health effects are most serious in households consuming low quantities of vegetables. Therefore, the effects on high- and low-consuming households are estimated by using quantile regressions (QRs). Since many households did not purchase any vegetable during each survey period, censored as well as ordinary QRs are used. Our results suggest that the effects of the policy variables differ in different parts of the conditional distribution of vegetable purchases. None of the proposed policy options is likely to substantially increase vegetable purchases among low-consuming households. Bon nombre de maladies découlent des habitudes alimentaires. La faible consommation de légumes constitue un important facteur de risque liéà l'alimentation. Cette consommation pourrait être accrue par l'instauration de politiques gouvernementales. Nous avons examiné les effets de l'abolition de la taxe sur la valeur ajoutée ou d'un soutien du revenu sur les achats de légumes. Les effets néfastes sur la santé sont plus graves chez les ménages qui consomment de faibles quantités de légumes. Nous avons donc estimé les effets chez les ménages à forte et à faible consommation de légumes à l'aide de régressions par quantile. Comme de nombreux ménages n'ont pas acheté de légumes au cours des périodes sondées, nous avons utilisé des régressions par quantile censurées et des régressions par quantile ordinaires. Nos résultats ont indiqué que les effets des variables concernant les politiques diffèrent dans différentes parties de la distribution conditionnelle des achats de légumes. Aucune des options politiques proposées ne semble susceptible d'accroître substantiellement les achats de légumes chez les ménages qui en consomment peu. [source] From egg to juvenile in the Bay of Biscay: spatial patterns of anchovy (Engraulis encrasicolus) recruitment in a non-upwelling regionFISHERIES OCEANOGRAPHY, Issue 6 2008XABIER IRIGOIEN Abstract In this study the spatial distribution of eggs, larvae and juveniles of European anchovy (Engraulis encrasicolus) was followed in 2004 and 2005 during three consecutive cruises each year in spring,summer to test what the limits of retention are in a non-upwelling area. Eggs, small larvae and large juveniles were mainly distributed over the shelf, whereas large larvae and small juveniles were found mainly off the shelf. Although overall distributions were similar, the 2 yr differed in that there was more of a coastal distribution of individuals in 2004, whereas in 2005 more individuals were found off the shelf. There were no significant differences in the length,weight relationships for individuals found on and off the shelf or between years. The correspondence in circulation patterns and the lack of difference in the length,weight relationships suggest that a single population is present, larvae drifting off the shelf due to currents and returning as mobile juveniles. Quantile regression analysis of the long-term recruitment index suggests that transport off the shelf may favour good recruitments. This would suggest that in non-upwelling regions the retention area resulting in good recruitment may not be restricted to the shelf. [source] Capital Structure and Firm EfficiencyJOURNAL OF BUSINESS FINANCE & ACCOUNTING, Issue 9-10 2007Dimitris Margaritis Abstract:, This paper investigates the relationship between firm efficiency and leverage. We consider both the effect of leverage on firm performance as well as the reverse causality relationship. In particular, we address the following questions: Does higher leverage lead to better firm performance? Does efficiency exert a significant effect on leverage over and above that of traditional financial measures of capital structure? Is the effect of efficiency on leverage similar across different capital structures? What is the signalling role of efficiency to creditors or investors? Using a sample of 12,240 New Zealand firms we find evidence supporting the theoretical predictions of the Jensen and Meckling (1976) agency cost model. Efficiency measured as the distance from the industry's ,best practice' production frontier is positively related to leverage over the entire range of observed data. The frontier is constructed using the non-parametric Data Envelopment Analysis (DEA) method. Using quantile regression analysis we show that the reverse causality effect of efficiency on leverage is positive at low to mid-leverage levels and negative at high leverage ratios. Firm size also has a non-monotonic effect on leverage: negative at low debt ratios and positive at mid to high debt ratios. The effect of tangibles and profitability on leverage is positive while intangibles and other assets are negatively related to leverage. [source] | ||||||||||