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cff-version: 1.2.0
message: 'To cite package "qdfauction" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'qdfauction: Nonparametric Quantile Density Estimation and Structural Analysis
  of First-Price Auctions'
version: 0.2.0
doi: 10.32614/CRAN.package.qdfauction
abstract: 'Nonparametric estimators of the quantile density function (the derivative
  of the quantile function): kernel, boundary-corrected kernel, Poisson-weight and
  Bernstein-polynomial smoothers, indirect estimators (Jones (1992) <https://www.ism.ac.jp/editsec/aism/pdf/044_4_0721.pdf>;
  Soni, Dewan and Jain (2012) <https://doi.org/10.1016/j.csda.2012.04.014>; Chaubey,
  Dewan and Li (2024) <https://doi.org/10.1080/03610926.2023.2222922>), and linear,
  hard-thresholded and block-thresholded wavelet estimators (Chesneau, Dewan and Doosti
  (2016) <https://doi.org/10.1016/j.csda.2015.08.006>; Shirazi and Doosti (2022) <https://doi.org/10.1080/03610918.2019.1656250>),
  with smoothing parameters chosen by biased, robust likelihood (Wu (2019) <https://doi.org/10.1080/07350015.2018.1424633>)
  or least-squares cross-validation. The estimators are applied to the structural
  analysis of first-price sealed-bid auctions: recovery of private values for independent
  or affiliated values and risk-neutral or risk-averse bidders (Doosti, Dewan and
  Talebian (2025) <https://doi.org/10.1016/j.econlet.2025.112670>; Doosti (2026) <https://doi.org/10.1016/j.econlet.2026.112837>),
  estimation of the private-value density with kernel benchmarks (Hickman and Hubbard
  (2015) <https://doi.org/10.1002/jae.2385>; Marmer and Shneyerov (2012) <https://doi.org/10.1016/j.jeconom.2011.09.020>;
  Zincenko (2024) <https://doi.org/10.1016/j.jeconom.2024.105734>) and confidence
  bands (Ma, Marmer and Shneyerov (2019) <https://doi.org/10.1016/j.jeconom.2019.02.006>),
  and estimation of the seller''s expected revenue and optimal reserve price, with
  tools for simulating equilibrium bids and comparing estimators.'
authors:
- family-names: Doosti
  given-names: Hassan
  email: Hassan.doosti@mq.edu.au
  orcid: https://orcid.org/0000-0002-0290-8122
  affiliation: School of Mathematical and Physical Sciences
repository: https://doostih.r-universe.dev
repository-code: https://github.com/DoostiH/qdfauction
commit: 75a1e572178ca7315b4568c28e30ac53f830cc1d
url: https://github.com/DoostiH/qdfauction
date-released: '2026-10-22'
contact:
- family-names: Doosti
  given-names: Hassan
  email: Hassan.doosti@mq.edu.au
  orcid: https://orcid.org/0000-0002-0290-8122
  affiliation: School of Mathematical and Physical Sciences