quantile regression analysis
Education and the Distribution of Earnings in Kenya: Evidence from Quantile Regression Analysis
... apply quantile regression analysis (Bushnisky, 1994, 1998) to investigate whether real earnings and earnings determinants differ across the conditional earnings ...
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Innovation and market value: A quantile regression analysis
... The regression methodology of this literature has typically been based on standard least- squares ...use regression estimators that implicitly focus on the ‘average effect for the average firm’ by giving ...
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Determinants of Obesity in Turkey: A Quantile Regression Analysis from a Developing Country
... implementing Quantile Regression (QR) ...The analysis is conducted by using the 2008, 2010 and 2012 waves of the Turkish Health Survey (THS) prepared by the Turkish Statistical Institute ...QR ...
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A Bayesian Quantile Regression Analysis of Potential Risk Factors for Violent Crimes in USA
... linear regression in Figure 5, we can see that outliers exist, such as observations 9, 25, and 46 corresponding to state Florida, Mississippi and Ver- ...from analysis because this may lead to substantially ...
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Subcontracting and the Survival of Plants in the Road Construction Industry: A Panel Quantile Regression Analysis
... new quantile regression approach for doubly censored data to investigate the survival of establishments competing for goverment procurement ...the analysis of pro- curement data because the age of ...
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Financial market interdependencies: a quantile regression analysis of volatility spillover
... the Quantile Regression (QR) model, which has been previously used in the financial literature to study the value-at-risk (Engle and Manganelli, 2004; Rubia and Sanchis-Marco, 2013), the systemic risk ...
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Determinants of Academic Attainment in the US: a Quantile regression analysis of test scores
... through quantile regression. By construction, quantile regression answers the question of what is the marginal effect of an explanatory variable at an arbitrary point on the conditional ...
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Electricity intensity and unemployment in South Africa: A quantile regression analysis
... On the other hand, our correlation matrix reported in the lower panel of Table 2, depicts unemployment is found to be positively correlated with electricity intensity, inflation and government expenditure whereas both ...
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Education and Labour Earnings Inequality in Tanzania: Evidence from Quantile Regression Analysis
... The study is based on the 2014 ILFS data for Tanzania collected by the Tanzania National Bureau of Statistics (NBS). The key information collected by the survey is of two types: the household and personal characteristics ...
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Italian Manufacturing and Service Firms Labor Productivity: a Longitudinal Quantile Regression Analysis
... deep analysis on EU countries manufacturing firm level data (Altomonte et ...The analysis shows a direct relationship among size, internationalization and innovation, where internationalization is the ...
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A Quantile Regression Analysis of Micro-lending's Poverty Impact
... and quantile results conclude that under the NWTF program, clients with the lowest initial poverty scores are helped more by the program than is true of their peers who start at a less disadvantaged ...
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Subcontracting and the survival of plants in the road construction industry:a panel quantile regression analysis
... The results are presented in Figure 4. The figure presents estimates of the main covariate effects as a function of the quantile τ of the conditional distribution of duration. In each graph, the continuous line ...
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Pressure points in reading comprehension:a quantile multiple regression analysis
... used quantile regression analysis to examine how each construct was related to reading comprehension individually at different quantiles, and how constructs were uniquely related to reading ...
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The determinants of household poverty in Sri Lanka: 2006/2007
... Quantile regression analysis estimates five quantile regressions at the 10,25,50,75 and 90 th quantiles with standard errors which computed by bootstrapping with 100 replicates (Table 3) for ...
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A quantile regression approach to bank efficiency measurement
... by quantile 0.5 and equals 0.7573. Thus, quantile regression analysis provides a more comprehensive picture of the underlying range of disparities in cost efficiency than the classical ...
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Poverty and Intelligence: Evidence Using Quantile Regression
... empirical analysis of Lynn and Vanhanen (2006) has never really been ...techniques. Quantile regressions are the most widely used regression methods that are robust to ...
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Efficient Estimation of an Additive Quantile Regression Model
... conditional quantile functions for α = ...both quantile functions is similar to those of the median for both distance and ...that quantile estimates of the semi-parametric approach are functions of ...
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Which quantile is the most informative? Maximum likelihood, maximum entropy and quantile regression
... likely quantile the ZQR procedure implicitly solves for the smallest standard error QR ...probable quantile, ˆ τ = ...conditional quantile function as in Figure 2; our analysis recommends ...
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Regularized quantile regression applied to genome-enabled prediction of quantitative traits.
... fit regression models to other parts of the distribution of the response variable, but this is rarely done, and therefore most regression analyses give an incomplete picture of the relationships between ...
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Who benefits from reducing the cost of formality? Quantile regression discontinuity analysis
... the regression discontinu- ity approach and the quantile regression ...the quantile treatment effects in the regression discontinu- ity design and they propose an uniformly consistent ...
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