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    Effects of Price Ceiling on Uniform Price Electricity Auction Markets

    , M.Sc. Thesis Sharif University of Technology Moshrefi, Hamid Reza (Author) ; Ebrahimnejad, Ali (Supervisor) ; Mohaghegh, Mohsen (Supervisor)
    Abstract
    One of the most common applications of multi-unit auctions is the energy markets, including the electricity markets. In this study, using the simulation of a uniform price wholesale electricity market, the effects of the price ceiling on the behavior of power plants and market clearing prices have been investigated. The results show that the implication of price ceilings causes power plants to reduce the slope of their bidding function near the ceiling price, and as a result, the market-clearing price decreases compared to the previous state in the absence of the price ceiling. It was also observed that the higher the probability of reaching the price ceiling (higher total demand), the more... 

    Mineral Rights Auction’s Valuation Paradigms: Case Study, The Gulf of Mexico

    , M.Sc. Thesis Sharif University of Technology Yadegari, Ali (Author) ; Fatemi Ardestani, Farshad (Supervisor)
    Abstract
    Auction literature and economic theories advocate common valuation among bidders in mineral rights auctions. In this study, we have tried to examine the assumption of common valuation between bidders in a first price sealed bid auction. It examines the common valuation hypothesis by assuming the information symmetry and the exogenous entry of bidders. The findings of this study suggest that bidders’ valuation in a first price sealed bid auction of natural resources may be private or common value. We use the non-parametric estimation model to find that after the federal government imposed Area-wide Leasing in the Gulf of Mexico, bidders’ valuations changed from private valuation to common... 

    Designing Machine-Learning based Efficient Combinatorial Auctions

    , M.Sc. Thesis Sharif University of Technology Jamshidi, Arash (Author) ; Jafari Siavoshani, Mahdi (Supervisor)
    Abstract
    The aim of this research is to use machine learning methods in the design of Combinatorial Auctions. In particular, in this study, we first examine the relationship between Differential Privacy and combinatorial auctions. We propose a method based on Differential Privacy that, under certain assumptions, can transform any combinatorial auction based on machine learning methods into a Truthful auction using the Exponential Mechanism, such that all participants in the auction have no reason to misreport their Valuation Function. We also prove that in this case, using this method when the number of items is much less than the number of participants does not significantly impact the social... 

    The Effect of The Reservation Price Increase Policy on Online Advertising Auction A Case Study of The Auctions of Yektant Company

    , M.Sc. Thesis Sharif University of Technology Hosseini Gohar, Mohammad Mahdi (Author) ; Rahmati, Mohammad Hossein (Supervisor)
    Abstract
    Auction is one of the most important and oldest institutions in economics, enabling resource allocation and trade of goods in the economy. Investigating the effects of changes in reservation price in auctions is an important question in auction theory research. In this study, focusing on a policy implemented by Yektanet, which involved altering the reservation price in auctions for advertising slots, we assessed its impact on advertiser costs. The implemented policy led to the activation of two distinct mechanisms, resulting in conflicting effects on the company's revenue. The first mechanism involved an increase in bid and intensified competition for ad placements on average, while the...