hedonic regression

revealed preference method of estimating demand or value; breaks down the item being researched into its constituent characteristics, and obtains estimates of the contributory value of each characteristic
Thing methodology Q388056
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hedonic regression

Summary

hedonic regression is a methodology[1]. It draws 77 Wikipedia views per month (methodology category, ranking #15 of 27).[2]

Key Facts

  • hedonic regression's instance of is recorded as methodology[3].
  • hedonic regression's Freebase ID is recorded as /m/0526md[4].
  • hedonic regression's Microsoft Academic ID is recorded as 2778479189[5].
  • hedonic regression's OpenAlex ID is recorded as C2994591601[6].
  • hedonic regression's OpenAlex ID is recorded as C2778479189[7].

Why It Matters

hedonic regression draws 77 Wikipedia views per month (methodology category, ranking #15 of 27).[2] It has Wikipedia articles in 9 language editions, a strong signal of global cultural recognition.[8] It is known by 6 alternative names across languages and contexts.[9]

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). hedonic regression. Retrieved May 3, 2026, from https://4ort.xyz/entity/hedonic-regression
MLA “hedonic regression.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/hedonic-regression.
BibTeX @misc{4ortxyz_hedonic-regression_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{hedonic regression}}, year = {2026}, url = {https://4ort.xyz/entity/hedonic-regression}, note = {Accessed: 2026-05-03}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): hedonic regression — https://4ort.xyz/entity/hedonic-regression (retrieved 2026-05-03)

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