DETERMINANTS OF GAMING LAPTOP PRICES IN UZBEKISTAN: THE ROLE OF HARDWARE SPECIFICATIONS AND BRAND

This study examines how hardware specifications, brand, and product condition are related to the advertised prices of gaming laptops in Uzbekistan. Data are collected from online listings on platforms such as OLX and ASAXIY. A hedonic pricing model is applied to examine the relationship between advertised price and characteristics such as GPU model, processor, RAM capacity, storage capacity, better display, and well-known gaming brands to be associated with higher prices. The natural logarithm of the advertised price in UZS is used as the dependent variable, and the model is estimated using ordinary least squares (OLS) regression with robust standard errors. The study expects higher-tier GPUs, stronger processors, larger RAM and storage capacities, better displays, and well-known gaming brands to be associated with higher prices. Used laptops are expected to have lower prices than new ones. Since the study is based on observational listing data, the results show associations between characteristics and prices rather than direct causal effects.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-30
DOI
https://doi.org/10.5281/zenodo.23793184
Primary Topic
Consumer Market Behavior and Pricing
Type
article
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article

DETERMINANTS OF GAMING LAPTOP PRICES IN UZBEKISTAN: THE ROLE OF HARDWARE SPECIFICATIONS AND BRAND

Muxammadiyev Shoxjaxon, Abror Doniyorov
4 links
Zenodo (CERN European Organization for Nuclear Research)
Consumer Market Behavior and Pricing
article

DETERMINANTS OF GAMING LAPTOP PRICES IN UZBEKISTAN: THE ROLE OF HARDWARE SPECIFICATIONS AND BRAND

Muxammadiyev Shoxjaxon, Abror Doniyorov
article en

Abstract

This study examines how hardware specifications, brand, and product condition are related to the advertised prices of gaming laptops in Uzbekistan. Data are collected from online listings on platforms such as OLX and ASAXIY. A hedonic pricing model is applied to examine the relationship between advertised price and characteristics such as GPU model, processor, RAM capacity, storage capacity, better display, and well-known gaming brands to be associated with higher prices. The natural logarithm of the advertised price in UZS is used as the dependent variable, and the model is estimated using ordinary least squares (OLS) regression with robust standard errors. The study expects higher-tier GPUs, stronger processors, larger RAM and storage capacities, better displays, and well-known gaming brands to be associated with higher prices. Used laptops are expected to have lower prices than new ones. Since the study is based on observational listing data, the results show associations between characteristics and prices rather than direct causal effects.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 6%
Consumer Market Behavior and Pricing
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