Quantile regression
Changes in the Panamanian wage structure: a quantile regression analysis
... of quantile regression introduced by Koenker and Bassett (1978) has recently received a lot of ...The quantile regression model extends the notion of ordinary quantiles in a location model to ...
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Does active management add value? New evidence from a quantile regression approach
... Previous studies, as indicated, focused on similar issues but considered sets of statistical tools not always similar to the ones we considered here (especially combining partial frontier techniques in the first stage ...
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Individual heterogeneity in the returns to schooling: instrumental variables quantile regression using twins data
... censored quantile regression methods, shows that returns to education in the ...use quantile methods on a sample of 3117 men for South Africa and obtain varying returns across quantiles that they ...
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The distributive effects of education: an unconditional quantile regression approach
... of quantile regression (QR) methods (Koenker (2005)), that help researchers focus on the effects of education (and other deter- minants of income) on the whole conditional distribution, beyond the ...
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Value added in higher education ordinary least squares and quantile regression for a colombian case pdf
... a regression, the coefficient of determination is greater for aggregated data than for individual ...the quantile regression methodology to solve value-added models, we found the initial definition ...
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High quality nutrition in childhood and wages in early adulthood: a two step quantile regression approach from Guatemalan workers
... Returns to health (or nutrition), one of the dimensions of human capital, have been widely analyzed from a theoretical perspective in the labor literature; however, there is not much empirical validation on this topic. ...
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Revista Contaduría y Administración
... Quantile regression is introduced by Koenker and Bassett ...conditional Quantile functions that estimate the conditional median or the conditional quartile of the dependable variables for the given ...
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Measuring and testing for the systemically important financial institutions
... with quantile-based measures and, in particular, inference procedures for quantile treatment effects, in order to derive, within a linear quantile regression framework, a series of testing ...
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Can trust effects on development be generalized? A response by quantile
... a quantile regression ap- proach that enables us to capture heterogeneous effects of trust for different development ...by quantile indicate that trust is not relevant for the poorest economies, ...
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TítuloLocal polynomial regression estimation with correlated errors
... These regression models frequently arise in economic studies, in the anal- ysis of growth curves and usually in situations in which data are collected sequentially over time, for example, in the study of time ...
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Evolutionary prototype selection for multi output regression
... those that can be obtained using the whole data set [3] . In some cases, this reduction simply attempts to remove outliers and noisy instances, thereby facilitating the learning of a model and even im- proving its ...
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Chapter IV Regression and Correlation, 2020 doc
... The regression and correlation analysis is a statistical methodology that is used to predict facts or ...to regression analysis that is done is to evaluate the contribution of one variables with respect to ...
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A Hierarchical Approach for Multi task Logistic Regression
... The experiments performed using two data sets from the UCI database, and a face classification problem using the AR Face data base suggest that the multi- task approach fares better than a single task learning of the ...
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TítuloPointwise forecast, confidence and prediction intervals in electricity demand and price
... Some statistical tools and procedures are analysed and proposed along this memory, to study this kind of data: electricity demand and price, which is the main objective of the thesis. Briey, after an introduction to the ...
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Chapter VII. Multiple Regression and Correlation. 2015
... Logistic regression analysis is used to examine relationships between variables when the dependent variable is nominal, even though independent variables are nominal, ordinal, interval, or some mixture ...
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Support vector regression for tongue position inference
... An adequate system for recovering the articulators’ position from the acoustic speech signal is useful for several tasks: applications based on computer animated talking heads [1] (for example, computer guided second ...
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Approximation of measurement of the dedication in research of the universities in Colombia from the knowledge by institution
... This session deals with two special cases that may appear when working with counts. Although both cases are fundamentally different, they have the same element in common: 0. It begins by talking about models that do not ...
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Trend analysis of CO2 and CH4 recorded at a semi-natural site in the northern plateau of the Iberian Peninsula
... beginning and end of the measurement period for this latter method could be attributed to a border effect, since calculations were made with half the observations in the window. The fl uctu- ating behaviour of the ...
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A survey on multi-output regression
... multi-output regression methods yield to a better predictive performance, in general, when compared against the single-output meth- ods 15–17 ...Multi-output regression methods provide as well the means to ...
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A literature review on the application of evolutionary computing to credit scoring
... The last years have seen the development of many credit scoring mod- els for assessing the creditworthiness of loan applicants. Traditional credit scoring methodology has involved the use of statistical and mathematical ...
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