Quantile regression results for (log) utility consumption
Quantile regression in risk calibration
... We use the data from August 31, 2007 to August 6, 2010. There are 766 closed price for each stock in the sample. We compute the daily log-return. This results in sample size n = 765. The dimension of the input ...
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A Microeconometric Characterisation of Household Consumption Using Quantile Regression
... corresponding results for wine however remind us that the U-shaped pattern is not typical for acoholic beverages: Besides the fact already noted of a positive price elasticity the quantile estimation ...
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The Role of Globalization in Energy Consumption: A Quantile Cointegrating Regression Approach
... energy consumption will change. However, this change in energy consumption can be increased or decreased depending on the net impact of several factors among them is ...energy consumption to higher ...
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The Role of Globalization in Energy Consumption: A Quantile Cointegrating Regression Approach
... energy consumption will change. However, this change in energy consumption can be increased or decreased depending on the net impact of several factors among them is ...energy consumption to higher ...
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Partial quantile regression
... the quantile covariance which is defined in the ...multiplicative regression model and from a switching regression model that exhibit variance heterogeneity and asymmetric tolerance ...the ...
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Generalized quantile regression
... for quantile curves when the error term is normally distributed and t(5) ...high quantile, the results may contain a larger bias due to not many observations in the ...
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Quantile Regression Forests
... conditional quantile approximations, loss func- tion (3) is used in conjunction with 5-fold ...conditional quantile function, as discussed ...between quantile regression forests and the other ...
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Consumption smoothing at retirement: average and quantile treatment effects in the regression discontinuity design
... smooth consumption over the life ...that consumption declines at ...Retirement Consumption Puzzle in Switzerland. Baseline regression discontinuity estimates of average treatment effects are ...
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Nonparametric circular quantile regression
... Firstly we note that, as expected, estimator (5) is a little better than (10) in all settings. However, the improvement comes at a computational price. The first set of results shows a similar performance for each ...
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Quantile regression through quantization
... Y (d) Figure 2: The same results as in Figure 1, but when selecting optimal values of N separately for each α. when choosing N by steps of five, we find N_opt = 15 with same_N = TRUE and N_opt = 15 or 20 ...
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Comparing Distribution and Quantile Regression
... n for different values of c. 9 Before discussing specific results for each DGP, we briefly summarize some findings that are common across DGPs. First, the profiles of the average variance are different for ...
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Quantile Regression in Risk Calibration
... The results show that for the PLM CoVaR of GS given C performs better than the AB and PLM CoVaR given SP during the financial crisis period from mid 2008 to mid ...
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Quantile regression with censoring and endogeneity
... between consumption and ...a quantile regression model in the first stage, where the logarithm of total expenditure, D, is a function of the logarithm of gross earnings of the head of the household, ...
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Bayesian spatial quantile regression
... across quantile level and spatial location all three Bayesian methods provide smaller mean squared error and higher power than the usual quantile regression ...true quantile curve for β 3 for ...
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Saddlepoint tests for quantile regression
... the results in Robinson, Ronchetti, & Young (2003) for M −estimators, which were obtained using saddlepoint techniques (Daniels (1954)) and can be viewed as an empirical likelihood procedure based on tilted ...
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Three Essays on Quantile Regression
... The results show evidence that both estimators are approximately ...the results indicate that MD-QR is more efficient than the ...The results uncover strong evidence of substantial heterogeneity in ...
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Quantile regression : a penalization approach
... literature based on the results of non-penalized models. This definition is a key step for the demonstration of the oracle properties of the estimators [Fan and Li, 2001], but it is restrictive in the sense that ...
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Quantile regression with censoring and endogeneity
... 2.5. Quantile and distribution regression estimation of the control ...for quantile and distribution regression estimation of the control ...empirical quantile re- gression and ...
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Bayesian quantile linear regression
... Quantile regression, as a supplement to the mean regression, is often used when a comprehensive relationship between the response variable and the explanatory variables is ...to quantile ...
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Censored Quantile Regression Redux
... + TREAT + FRAC + RACE + AGE * SITE, data = uis) R> plot(Sfit, CoxPHit = PHit) We begin by loading the quantreg package, if it is not already loaded, and then loading the Hosmer and Lemeshow data. The model formula in ...
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