scholarly journals Nonparametric Estimates of Regression Quantiles and Their Local Bahadur Representation

1991 ◽  
Vol 19 (2) ◽  
pp. 760-777 ◽  
Author(s):  
Probal Chaudhuri
2013 ◽  
Vol 29 (5) ◽  
pp. 941-968 ◽  
Author(s):  
Efang Kong ◽  
Oliver Linton ◽  
Yingcun Xia

This paper is concerned with the nonparametric estimation of regression quantiles of a response variable that is randomly censored. Using results on the strong uniform convergence rate of U-processes, we derive a global Bahadur representation for a class of locally weighted polynomial estimators, which is sufficiently accurate for many further theoretical analyses including inference. Implications of our results are demonstrated through the study of the asymptotic properties of the average derivative estimator of the average gradient vector and the estimator of the component functions in censored additive quantile regression models.


Author(s):  
Neha Gupta

Abstract This paper reviews rice procurement operations of Government of India from the standpoints of cost of procurement as well as effectiveness in supporting farmers’ incomes. The two channels in use for procuring rice till 2015, were custom milling of rice and levy. In the first, the government bought paddy directly from farmers at the minimum support price (MSP) and got it milled from private millers; while in the second, it purchased rice from private millers at a pre-announced levy price thus providing indirect price support to farmers. Secondary data reveal that levy, despite implying lower cost of procurement was discriminated against till about a decade back and eventually abolished in 2015 in favor of custom milling, better trusted to provide minimum price support. We analyze data from auctions of paddy from a year when levy was still important to investigate its impact on farmers’ revenues. We use semi-nonparametric estimates of millers’ values to simulate farmers’ expected revenues and find these to be rather close to the MSP; a closer analysis shows that bidder competition is critical to this result. Finally, we use our estimates to quantify the impact of change in levy price on farmers’ revenues and use this to discuss ways to revive the levy channel.


2019 ◽  
Vol 22 (07) ◽  
pp. 1950040
Author(s):  
GIANLUCA CASSESE

We propose a new nonparametric technique to estimate the call function based on the superhedging principle. This approach requires minimal assumptions on absence of arbitrage and other market imperfections. The estimates so obtained are then combined with SNP estimates of the actual density of market returns. This permits to investigate the time behavior of the relative distance between the two densities obtained. Our empirical findings suggest that the more the two densities differ, the shorter is time to maturity, suggesting a major role of uncertainty over shorter than longer horizons.


2010 ◽  
Vol 140 (2) ◽  
pp. 335-352 ◽  
Author(s):  
Frédéric Ferraty ◽  
Ali Laksaci ◽  
Amel Tadj ◽  
Philippe Vieu

2011 ◽  
Vol 165 (3-4) ◽  
pp. 579-596 ◽  
Author(s):  
Guo-dong Xing ◽  
Shan-chao Yang ◽  
Yan Liu ◽  
Ke-ming Yu

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