hedonic hypothesis - meaning and definition. What is hedonic hypothesis
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What (who) is hedonic hypothesis - definition

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
Hedonic model; Hedonic demand theory; Hedonic adjustment; Hedonic price; Hedonic pricing; Hedonic prices; Hedonic Regression

Hedonic regression         
In economics, hedonic regression is a revealed preference method for estimating the monetary value of the characteristics of a good. It breaks down the good or item being researched into its characteristics, and obtains estimates of the monetary value contribution of each characteristic.
Hedonic treadmill         
OBSERVED TENDENCY OF HUMANS TO QUICKLY RETURN TO A RELATIVELY STABLE LEVEL OF HAPPINESS DESPITE MAJOR POSITIVE OR NEGATIVE EVENTS OR LIFE CHANGES
Hedonic adaptation; Happiness Set Point; Hedonic Set Point; Theory of hedonic adaptation
The hedonic treadmill, also known as hedonic adaptation, is the observed tendency of humans to quickly return to a relatively stable level of happiness despite major positive or negative events or life changes.
Lexical hypothesis         
  • [[Gordon Allport]]
HYPOTHESIS IN PERSONALITY PSYCHOLOGY THAT PERSONALITY TRAITS IMPORTANT TO A GROUP BECOME A PART OF THAT GROUP’S LANGUAGE
Sedimentation hypothesis; Fundamental lexical hypothesis; Lexical Hypothesis; Psycholexical
The lexical hypothesis (also known as the fundamental lexical hypothesis, lexical approach, or sedimentation hypothesis) is a thesis, current primarily in early personality psychology, and subsequently subsumed by many later efforts in that subfield. Despite some variation in its definition and application, the hypothesis is generally defined by two postulates.

Wikipedia

Hedonic regression

In economics, hedonic regression, also sometimes called hedonic demand theory, is a revealed preference method for estimating demand or value. It decomposes the item being researched into its constituent characteristics, and obtains estimates of the contributory value for each. This requires that the composite good (the item being researched and valued) can be reduced to its constituent parts and that those resulting parts are in some way valued by the market. Hedonic models are most commonly estimated using regression analysis, although some more generalized models such as sales adjustment grids are special cases which do not.

An attribute vector, which may be a dummy or panel variable, is assigned to each characteristic or group of characteristics. Hedonic models can accommodate non-linearity, variable interaction, and other complex valuation situations.

Hedonic models are commonly used in real estate appraisal, real estate economics and Consumer Price Index (CPI) calculations. In CPI calculations, hedonic regression is used to control the effect of changes in product quality. Price changes that are due to substitution effects are subject to hedonic quality adjustments.