Hedonic hotspots are brain sites where particular neurochemical stimulations causally amplify the hedonic impact of sensory rewards, such as "liking" for sweetness. Here, we report the mapping of two hedonic hotspots in cortex, where mu opioid or orexin stimulations enhance the hedonic impact of sucrose taste. One hedonic hotspot was found in anterior orbitofrontal cortex (OFC), and another was...

We examine theoretically and empirically the properties of the equilibrium wage function and its implications for policy. Our emphasis is on how the researcher approaches economic and policy questions when there is labor market heterogeneity leading to a set of wages. We focus on the application where hedonic models have been most successful at clarifying policy relevant outcomes and policy eff...

With the experiential turn in Human–Computer Interaction (HCI), academics and practitioners broaden their focus from mere task-fulfillment (i.e., the pragmatic) to a holistic view, encompassing universal human needs such as relatedness or popularity (i.e., the hedonic). Accordingly, many theoretical models of User Experience (UX) acknowledge the hedonic as an important aspect of a product’s app...

Sensory preferences for fat in foods are influenced both by subject characteristics and by the nature of the food stimulus. Hedonic responses to sugar/fat mixtures depend on strong interactions between perceptions of the two ingredients, including tactile as well as gustatory effects. Fat-containing liquid and solid foods, and dessert-type sugar/fat mixtures produce different hedonic response p...

This study examines the effect of road and railway noise on property prices. It uses the hedonic regression technique on a Swedish data set that contains information about both road and railway noise for each property, and finds that road noise has a larger negative impact on the property prices than railway noise. This is in line with the evidence from the acoustical literature which has shown...

Drawing on a data set containing 371,082 observations on new and used cars from 2008, this study employs a hedonic model to estimate the determinants of prices in the primary and secondary car markets in Germany. We are specifi cally interested in identifying those vehicle attributes that are responsible for retaining the car’s value in the used car market. Beyond parameterizing the infl uence ...

This article analyzes auctions that can feature two bidding rounds for the sale of a single good. In the first round the seller, after analyzing the received bids, may elect to have k bidders rebid. The highest bidder in the second round receives the asset at the highest bid price. We use a sample of 67 properties that sold through this auction process. The 40 hotels in this sample are matched ...

Hedonic regression is a method used to determine the value of a good or service by breaking it down into its component parts. The value of each component is then determined separately through regression analysis. See Lancaster K [1], Griliches Z [2,3] and Diewert [4-6] for detail discussions on the development and application of hedonic prices. In addition, Moulton [7] provides a information on...

A hedonic technique for calculating the consumer price index for second-hand cars was introduced in May 2003. The hedonic technique adjusts for quality by using regression analysis to measure the impact of product features on sale price. In this manner price changes that are due to quality shifts in specific features can be separated mathematically from “pure” price changes and purged. The foll...

We investigate price finding of buyers and sellers of Internet domains. We develop a hedonic model for domain prices, controlling for differences in domain quality along multiple dimensions and test the model empirically on a large dataset of domain transactions observed at secondary domain markets. We document differences in the implicit prices for selected domain attributes across different t...