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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 楊曙榮(Shu-Jung Yang) | |
| dc.contributor.author | Shu-Ya Peng | en |
| dc.contributor.author | 彭書亞 | zh_TW |
| dc.date.accessioned | 2021-06-17T07:07:30Z | - |
| dc.date.available | 2022-08-05 | |
| dc.date.copyright | 2019-08-05 | |
| dc.date.issued | 2019 | |
| dc.date.submitted | 2019-07-24 | |
| dc.identifier.citation | Ackerberg, D., Benkard, C. L., Berry, S., & Pakes, A. (2007). Econometric tools for analyzing market outcomes. Handbook of econometrics, 6, 4171-4276.
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/72832 | - |
| dc.description.abstract | 本文主要探討廠商的特徵對消費者效用以及市占率的影響。文中會介紹如何使用BLP模型來對消費者對各個特徵的偏好做出估計並將他們透過公式轉換為市占率。在實證研究方面，我們從個人電腦市場資料中，選取了合適的廠商以及變數。但在初步估計時遇到了變數發散的問題，因此對BLP模型做出調整。在調整模型後，我們獲得了精確的估計結果以及發現淨利率對市占率有著顯著的影響。 | zh_TW |
| dc.description.abstract | This study explores the impact of different firm-level variables on the consumer utility and market share. We introduce the BLP model to analyze the consumers utility and further convert them into market share. And then, we select firms and variables from the dataset to conduct the empirical study. We modify the BLP model due to encountering the problem of parameter divergence. After modification, we obtain precise prediction and discover that product margin is the key factor to influence the market share of a firm. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-17T07:07:30Z (GMT). No. of bitstreams: 1 ntu-108-R06741037-1.pdf: 2141100 bytes, checksum: 6981b1fe0c2e4ba99c85ea22b9796e0d (MD5) Previous issue date: 2019 | en |
| dc.description.tableofcontents | 摘要 ii
Abstract iii TABLE OF CONTENTS iv LIST OF FIGURES v LIST OF TABLES v 1. Introduction 1 2. Background 3 3. Literature Review 4 4. Model Development 6 4.1. Distribution of the Parameters and Likelihood 7 4.2. Inverting the h Function and Contraction Mapping 9 4.3. Jacobian 9 5. MCMC Algorithm 11 5.1. Prior and Posterior Distributions 11 5.2. Gibbs Samplers and RW Metropolis-Hasting Samplers 12 6. Empirical Study 14 6.1. Data 14 6.2. Variables 15 6.3. Empirical Results 16 6.4. Counterfactual Analysis 21 7. Concluding Remark 23 References 25 Appendix 27 | |
| dc.language.iso | en | |
| dc.subject | IT產業 | zh_TW |
| dc.subject | 貝氏分析 | zh_TW |
| dc.subject | BLP模型 | zh_TW |
| dc.subject | 市占率 | zh_TW |
| dc.subject | 彙總數據 | zh_TW |
| dc.subject | market share | en |
| dc.subject | aggregate level data | en |
| dc.subject | IT industry | en |
| dc.subject | Bayesian analysis | en |
| dc.subject | BLP model | en |
| dc.title | 使用彙總資料探討公司屬性對市占率的影響 | zh_TW |
| dc.title | The Effect of Firm-Level Attributes Using Market-Share Estimation Based on Aggregate Data | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 107-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 張景宏(Ching-Hung Chang),洪一薰(I-Hsuan Hong) | |
| dc.subject.keyword | 貝氏分析,BLP模型,市占率,IT產業,彙總數據, | zh_TW |
| dc.subject.keyword | Bayesian analysis,BLP model,market share,IT industry,aggregate level data, | en |
| dc.relation.page | 69 | |
| dc.identifier.doi | 10.6342/NTU201901852 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2019-07-24 | |
| dc.contributor.author-college | 管理學院 | zh_TW |
| dc.contributor.author-dept | 商學研究所 | zh_TW |
| 顯示於系所單位： | 商學研究所 | |
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| ntu-108-1.pdf 未授權公開取用 | 2.09 MB | Adobe PDF |
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