Skip to content

Bachelor Thesis: Semi- and nonparametric estimation of price dispersion and auction heterogeneity with eBay auctions

Notifications You must be signed in to change notification settings

Jullemand/Bachelor-Thesis

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

13 Commits
 
 
 
 

Repository files navigation

Bachelor Thesis (Data Science and Economics)

This is Julian Valdman's Bachelor Thesis spring 2022

Thesis Information

Major: Data Science and Economics

Title: Semi- and nonparametric estimation of price dispersion and auction heterogeneity with eBay auctions

Where: University of Copenhagen

When: June 2022

Grade: 12 (A)

Table of Content of the Report

  1. Introduction
  2. The eBay marketplace and data
  3. Maximum Likelihood Estimation
  4. Artificial Neural Networks and Multi-class classfication
  5. Discussion and Conclusion

Methods

The analysis comprises 2 different methods of price analysis:

  • Maximum Likelihood with Hermite Series: Using flexible polynomial to estimate density distribution of prices
  • Artificial Neural Network (ANN): Using non-parametric deep learning model to exhaust predictive power of the auction attributes

Conclusions

From the analysis and including microeconomic theory, the report concludes:

  • Some price dispersion can be explained by auction heterogeneity
  • Most auction features have smaller economic effect on end price
  • Most of the auction feature effects are aligned with economic theory and similar analysis

About

Bachelor Thesis: Semi- and nonparametric estimation of price dispersion and auction heterogeneity with eBay auctions

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published