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Analyzing Brand-Level Chips Demand in the United States Using the Multinomial Logit Model
Öz
This study estimates demand for 52 chip brands using IRI scanner data. The multinomial logit model addresses dimensionality and endogeneity issues in demand estimation. All brands exhibit elastic demand, with own-price elasticities between -5.0412 and -1.4251, indicating high consumer responsiveness to price changes. Notably, tortilla chip brands are less elastic than potato chip brands. Baked chip brands fall under the category of highly elastic brands. Funyuns has the most elastic demand, while Calidad Triangle has the least elastic demand. Cross-price elasticities (0.0010 to 0.0263), exhibiting the IIA property, indicate that consumers have brand loyalty, as seen by comparisons with own-price elasticities' magnitudes.
Anahtar Kelimeler
Kaynakça
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Ayrıntılar
Birincil Dil
İngilizce
Konular
Uygulamalı Mikro Ekonometri
Bölüm
Araştırma Makalesi
Yazarlar
Yayımlanma Tarihi
1 Nisan 2024
Gönderilme Tarihi
21 Ağustos 2023
Kabul Tarihi
28 Ekim 2023
Yayımlandığı Sayı
Yıl 2024 Cilt: 19 Sayı: 1
APA
Özbağ Keçeci, M. (2024). Analyzing Brand-Level Chips Demand in the United States Using the Multinomial Logit Model. Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi, 19(1), 155-180. https://doi.org/10.17153/oguiibf.1347020
AMA
1.Özbağ Keçeci M. Analyzing Brand-Level Chips Demand in the United States Using the Multinomial Logit Model. Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi. 2024;19(1):155-180. doi:10.17153/oguiibf.1347020
Chicago
Özbağ Keçeci, Merve. 2024. “Analyzing Brand-Level Chips Demand in the United States Using the Multinomial Logit Model”. Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi 19 (1): 155-80. https://doi.org/10.17153/oguiibf.1347020.
EndNote
Özbağ Keçeci M (01 Nisan 2024) Analyzing Brand-Level Chips Demand in the United States Using the Multinomial Logit Model. Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi 19 1 155–180.
IEEE
[1]M. Özbağ Keçeci, “Analyzing Brand-Level Chips Demand in the United States Using the Multinomial Logit Model”, Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi, c. 19, sy 1, ss. 155–180, Nis. 2024, doi: 10.17153/oguiibf.1347020.
ISNAD
Özbağ Keçeci, Merve. “Analyzing Brand-Level Chips Demand in the United States Using the Multinomial Logit Model”. Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi 19/1 (01 Nisan 2024): 155-180. https://doi.org/10.17153/oguiibf.1347020.
JAMA
1.Özbağ Keçeci M. Analyzing Brand-Level Chips Demand in the United States Using the Multinomial Logit Model. Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi. 2024;19:155–180.
MLA
Özbağ Keçeci, Merve. “Analyzing Brand-Level Chips Demand in the United States Using the Multinomial Logit Model”. Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi, c. 19, sy 1, Nisan 2024, ss. 155-80, doi:10.17153/oguiibf.1347020.
Vancouver
1.Merve Özbağ Keçeci. Analyzing Brand-Level Chips Demand in the United States Using the Multinomial Logit Model. Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi. 01 Nisan 2024;19(1):155-80. doi:10.17153/oguiibf.1347020