Quantile regressions
Predictions in Quantile Regressions
... different quantile regressions is statistically ...th quantile together with the difference between the 10 th quantile and the median are reported in Table ...top quantile signalling a ...
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Changing The Basics:Toward More Use of Quantile Regressions in Hospitality and Tourism Research
... The aim of this paper is to encourage more use of Quantile Regressions (QRs) in Hospitality and Tourism Research. More importantly, we focus on the Bayesian estimation of QRs and discuss its advantages over ...
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Understanding Diamond Pricing Using Unconditional Quantile Regressions
... unconditional quantile regressions following Firpo et ...unconditional quantile regressions, we investigate whether price elasticity remains constant along the price distribution in Section ...
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Gibrat's Law and quantile regressions : an application to firm growth
... Prior to looking the e¤ects of …rm size and age over the spectrum of …rm growth, it is important to examine the behavior of the density over the time span we consider. Figure 1 graphs the quantiles of …rm growth. A …rst ...
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Unconditional quantile regressions, earnings disparity and gender discrimination in post transformation of urban China
... The return to work experience declines for both male and female with the earnings increasing in 2002 as figure 3 demonstrated. Same with education, it could tell that woman’s experience is more rewarding than men in ...
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Unconditional quantile regressions to determine the social gradient of obesity in Spain 1993–2014
... Conditional quantile regression (CQR) has been used in recent studies of the determinants of obesity to meas- ure the impact of a covariate on a quantile of the BMI, conditional on specific values of other ...
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The Mobile Phone, Information Sharing and Financial Sector Development in Africa: A Quantile Regressions Approach
... interactive regressions: (i) all constitutive variables are included in the specifications, and (ii) the impact of the modifying mobile phone variable is interpreted as a conditional marginal ...non-contemporary ...
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The Effect of Valuation Ratios, Gold Price, and Petroleum Price on Equity Returns: A Comparison of Static Panel and Quantile Regressions
... estimation. Quantile regression method is more efficient than OLS ...using quantile regression are the most robust, namely it is not sensitive to the impact of outlier on dependent ...The quantile ...
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Estimating Monetary Policy Reaction Functions Using Quantile Regressions
... The estimation results show that the Federal Reserve responded systematically to inflation. The IQR inflation coefficient is significantly different from zero and increases from 1.5 to 2 (QR) and 2.5 (IQR), respectively, ...
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Future climate emulations using quantile regressions on large ensembles
... use quantile regression to estimate a discrete set of quantiles of daily tem- perature as a function of seasonality and long-term change, with smooth spline functions of season, long-term trends, and their ...
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Parameter approximations for quantile regressions with measurement error
... dssur{lpdwlrqv ydulhv rqo| d olwwoh dv wkh wkuhh HS vkdsh sdudphwhuv duh dowhuhg1 Lq vxppdu|/ zlwk olqhdu huuru iuhh TUIv/ lq wkh fdvhv vwxglhg/ huuru frqwdplqdwhg TUIv duh vljqlfdqwo| q[r] ...
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Size is everything: Explaining SIFI designations
... OLS regressions with robust standard errors of our systemic risk proxies during the cri- sis on our (lagged) main independent and the various control variables in ...of quantile regressions benefits ...
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Evidence on the glass ceiling effect in France using matched worker firm data
... use quantile regressions techniques to assess the extent to which the glass ceiling phenom- enon exists in ...perform quantile regressions using a preliminary principal component analysis of ...
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Recent changes in wage inequality in Argentina The role of labor formalization and other factors
... Table A1 Unconditional quantile regressions IVQ-2003 reweighted and IVQ-2012 Covariates Registered wage earner Education Incomplete primary Incomplete secondary Complete secondary Incomp[r] ...
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China’s exchange rate regimes revisited and bubble detection in 2005-2015
... C. Empirical analysis with the LPPLS Confidence indicators As inspired from previous works on historical bubbles [14] and particularly the study on the Chinese bubble in June 2015 [11], we use the arithmetic and ...
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Modelling biodiversity
... knowledge, quantile regression with reference not to the mean influence of the regressors on the mean of the conditional distribution of the dependent variable but on its entire conditional ...distribution. ...
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5357.pdf
... conditional quantile regressions and skewness ...conditional quantile estimators are consistent and asymptotically normalunder those simple assumptions for the DGP of asset pricing we ...
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Allometric growth in reef building corals
... Table 2- Parameter estimates mean intercepts across years for the OLS and quantile regression models 95th, 50th and 5th quantile regressions of planar area at time t as a function of pla[r] ...
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The Precision of Unconditional Estimators of the Equity Premium
... This paper has the purpose of providing unconditional estimators of the equity premium. In plain words the estimators are obtained by the constants in regressions of the equity premium on a constant. More than one ...
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Abstract: Ship speeds extracted from AIS data vary with ice conditions. We extrapolated this
... As our first analysis using the random forest regression underestimated on the average slightly the routewise mean speeds we began using the mean of two quantile regressions for quantile[r] ...
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