東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Estimating the Demand for Differenti...

Pan, Yushuo,

Linked to FindBook

Google Book

Amazon

博客來

Estimating the Demand for Differentiated Products and the Efficiency of the Production Line /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Estimating the Demand for Differentiated Products and the Efficiency of the Production Line // Yushuo Pan.
Author:	Pan, Yushuo,
Description:	1 electronic resource (106 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 86-02, Section: B.
Contained By:	Dissertations Abstracts International86-02B.
Subject:	Home economics. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31490697
ISBN:	9798384023586

Estimating the Demand for Differentiated Products and the Efficiency of the Production Line /
Pan, Yushuo,

Estimating the Demand for Differentiated Products and the Efficiency of the Production Line /Yushuo Pan. - 1 electronic resource (106 pages)

Source: Dissertations Abstracts International, Volume: 86-02, Section: B.

Chapter 1: Distinguishing between Collusion and Competition Using BLP's Random Coefficients Logit Model.There is a long tradition of economists trying to determine the extent to which firms collude in an industry. Their approaches to answering this question include both behavioral and structural methods. In this paper, I build on behavioral demand literature to examine firm conduct in the frozen juice industry, which meets many criteria that facilitate cartel formation: the frozen juice industry has few firms, there is little product differentiation, and demand has been stable over time. This paper uses a random coefficients logit model to estimate demand and infer the marginal costs for all frozen juice products under both competition and monopoly conduct. I compare these estimates to the observed marginal costs. Using a least squares method, I find that the observed costs are closer to the costs estimated under the competition assumption than to the costs estimated using the monopoly or collusion assumption. This implies that the frozen juice industry experiences low collusion.Chapter 2: Demand for differentiated products: PSB's distance metric approach.Economists usually use the discrete choice model to investigate industries with differentiated products. However, the discrete choice model may not work well in industries where consumers buy more than one product. In this paper, I use PSB's distance metric model to estimate all frozen juices' marginal costs assuming no collusion. I find that the distance metric model is not better than the random coefficient model when we don't have enough product characteristics. By comparing the elasticities between weekly frequency and quarterly frequency, I conclude that with enough data, we don't need to consider the stockpiling problem while using the distance metric model, and consumers are more price-sensitive for uncommon goods and large-size products.Chapter 3: Estimating the efficiency of the production line.Understanding the efficiency of the production line is very important for both manufacturers and competition authorities. However, assessing the variations in firms' productive efficiency based on publicly available data has been challenging for economists. This research paper addresses this issue by providing a clear definition of the efficiency of the production line and introducing a novel approach to estimate the efficiency. The proposed method combines discrete choice demand estimation with a new cost function, utilizing firms' product prices and characteristics. This approach goes beyond traditional static demand estimation techniques by allowing for dynamic variations in demand coefficients over time. The study reveals that the price parameter of the demand function, alpha, also serves as an indicator of firms' productive efficiency. To validate the effectiveness of the proposed method, the study applies it to real-world data from the U.S. automobile industry, resulting in firm-specific efficiency estimates and conducting an analysis of counterfactual scenarios.

English

ISBN: 9798384023586Subjects--Topical Terms:

551902
Home economics.
Subjects--Index Terms:

Differentiated products

Estimating the Demand for Differentiated Products and the Efficiency of the Production Line /
LDR:04536nmm a22004453i 4500 001 2430141
005 20250519114939.5
006 m o d
007 cr|nu||||||||
008 261011s2024 miu||||||m |||||||eng d
020 $a 9798384023586
035 $a (MiAaPQD)AAI31490697
035 $a AAI31490697
040 $a MiAaPQD $b eng $c MiAaPQD $e rda
100 1 $a Pan, Yushuo, $e author. $3 3818332
245 1 0 $a Estimating the Demand for Differentiated Products and the Efficiency of the Production Line / $c Yushuo Pan.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2024
300 $a 1 electronic resource (106 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertations Abstracts International, Volume: 86-02, Section: B.
500 $a Advisors: Dana, James Committee members: Reimers, Imke; Kwoka, John.
502 $b Ph.D. $c Northeastern University $d 2024.
520 $a Chapter 1: Distinguishing between Collusion and Competition Using BLP's Random Coefficients Logit Model.There is a long tradition of economists trying to determine the extent to which firms collude in an industry. Their approaches to answering this question include both behavioral and structural methods. In this paper, I build on behavioral demand literature to examine firm conduct in the frozen juice industry, which meets many criteria that facilitate cartel formation: the frozen juice industry has few firms, there is little product differentiation, and demand has been stable over time. This paper uses a random coefficients logit model to estimate demand and infer the marginal costs for all frozen juice products under both competition and monopoly conduct. I compare these estimates to the observed marginal costs. Using a least squares method, I find that the observed costs are closer to the costs estimated under the competition assumption than to the costs estimated using the monopoly or collusion assumption. This implies that the frozen juice industry experiences low collusion.Chapter 2: Demand for differentiated products: PSB's distance metric approach.Economists usually use the discrete choice model to investigate industries with differentiated products. However, the discrete choice model may not work well in industries where consumers buy more than one product. In this paper, I use PSB's distance metric model to estimate all frozen juices' marginal costs assuming no collusion. I find that the distance metric model is not better than the random coefficient model when we don't have enough product characteristics. By comparing the elasticities between weekly frequency and quarterly frequency, I conclude that with enough data, we don't need to consider the stockpiling problem while using the distance metric model, and consumers are more price-sensitive for uncommon goods and large-size products.Chapter 3: Estimating the efficiency of the production line.Understanding the efficiency of the production line is very important for both manufacturers and competition authorities. However, assessing the variations in firms' productive efficiency based on publicly available data has been challenging for economists. This research paper addresses this issue by providing a clear definition of the efficiency of the production line and introducing a novel approach to estimate the efficiency. The proposed method combines discrete choice demand estimation with a new cost function, utilizing firms' product prices and characteristics. This approach goes beyond traditional static demand estimation techniques by allowing for dynamic variations in demand coefficients over time. The study reveals that the price parameter of the demand function, alpha, also serves as an indicator of firms' productive efficiency. To validate the effectiveness of the proposed method, the study applies it to real-world data from the U.S. automobile industry, resulting in firm-specific efficiency estimates and conducting an analysis of counterfactual scenarios.
546 $a English
590 $a School code: 0160
650 4 $a Home economics. $3 551902
650 4 $a Industrial engineering. $3 526216
653 $a Differentiated products
653 $a Production line
653 $a Coefficients logit model
653 $a Stockpiling
653 $a Frozen juice industry
690 $a 0501
690 $a 0338
690 $a 0546
690 $a 0386
710 2 $a Northeastern University. $b Economics. $e degree granting institution. $3 3818333
720 1 $a Dana, James $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 86-02B.
790 $a 0160
791 $a Ph.D.
792 $a 2024
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31490697