
	Where results make sense

Topic: Hedonic regression

Related Topics

Consumer Price Index

Penn effect

CPI

Purchasing power parity

Measures of national income

List of countries by GDP (PPP) per capita

	Economics 143; Examples of Regression Studies
		The researcher used regression analysis to assess the impact of each hypothesized causal factor on between city differences in 1989 homelessness rates for the 147 primary cities in the data set (excluding suburbs) and for subgroup breakouts based on level of manufacturing employment and population growth from 1980 to 1986.
		Regression analysis is used to identify relationships between election results and the socioeconomic characteristics of candidates as well as the electorate in urban neighborhoods.
		Regression based decomposition analysis found that a substantial portion of the racial wage gap was due to discrimination (unequal pay) while estimates of the magnitude of labor market discrimination indicated considerable variation by geographical area.
	www.sscnet.ucla.edu /ssc/labs/cameron/e143w98/regex94.htm (8695 words)

	Developing a Hedonic Regression Model
		Formulating a hedonic regression model for high tech goods such as camcorders is not a simple task.
		For the purpose of formulating the camcorder hedonic regression model, data was taken from various sources.
		This is quite high for a hedonic regression model calculated using CPI data.
	www.bls.gov /cpi/cpicamco.htm (3219 words)

	Survey of Current Business: The economic interpretation of hedonic methods - discussion of new price index for ...
		The heart of the methodology is a regression equation, referred to as the "hedonic function," in which prices from an array of different models, or varieties, of a product are the dependent variable and the characteristics of that product are the independent, or explanatory, variables.
		Hedonic methods were developed, and indeed used in price indexes, long before their conceptual framework was understood.
		At one time, hedonic methods were regarded as ad hoc adjustments, which could not be related to the conceptual basis for economic measurement nor to the theory of price index numbers and real output measurement.
	www.findarticles.com /p/articles/mi_m3SUR/is_v66/ai_4081962 (1393 words)

	Quality Adjustment of Goods Price Index Using Hedonic Regression Model (Personal Computers Case) (Site not responding. Last check: 2007-10-04)
		Therefore, all regressions will embrace the three main characteristics of computers, CPU, RAM, and HD and the characteristic of the processor is also included in the regressions as a dummy variable.
		Since the variables have been inserted into the regression model in a logarithm form, the coefficients are indicative of proportional elasticity or sensitivity of the dependent variable to the changes in either of the independent variables.
		By calculating the hedonic price index of the desktop personal computers it is observed that the index has had a decreasing trend so that it has declined continuously from 100 in 1999 to 68 in 2002.
	www.src.ac.ir /en/hedonic.html (1323 words)

	Literature on Hedonic Property Value Models
		Hedonic housing models have two major ends: (1) to explore the relative importance and explanatory power of various housing attributes and (2) to assess the value of specific housing units in the absence of actual market transactions.
		Hedonic parameters are estimated with four alternative dwelling age specifications and two iterative generalized least squares estimation procedures that accommodate heteroskedasticity by explicitly modeling the residual variance.
		A hedonic specification of the willingness to pay function with willingness to pay depending on the attributes of the illness and the respondent's characteristics reveal that willingness to pay for improved health depends on the duration of the illness, the number of symptoms experienced, and income.
	www.sscnet.ucla.edu /ssc/labs/cameron/nrs98/hedoninv.htm (20162 words)

	Hedonic Pricing Method
		The hedonic pricing method is most often used to value environmental amenities that affect the price of residential properties.
		The hedonic value function can be used to determine the benefits of preserving each parcel, which can then be compared to the cost.
		The data are analyzed using regression analysis, which relates the price of the property to its characteristics and the environmental characteristic(s) of interest.
	www.ecosystemvaluation.org /hedonic_pricing.htm (1602 words)

	NAP Skim View of:
		HEDONIC REGRESSION METHODS Hedonics currently offers the most promising technique for explicitly adjusting observed prices to account for changing product quality.14 Hedonic regressions are used to estimate the value of specific bundles of individual characteristics that, when packaged together, form goods.
		The principle underlying hedonics is that, if consumers face observable relationships between goods’ characteristics and their prices, one should be able to use these relationships to disentangle pure price changes from quality changes.
		Hedonic functions are typically refit only periodically, so neither the current period nor the prior period function is usually available.
	www.nap.edu /nap-cgi/skimit.cgi?isbn=0309074428&chap=106-154 (2067 words)

	House Prices - Instant Current Valuations & Actual Prices Paid (Site not responding. Last check: 2007-10-04)
		As noted in the discussion of the hedonic regression model, all property characteristics have to be taken into account to guarantee accuracy.
		In contrast to the hedonic regression and the mix-adjustment methods, which use large numbers of property characteristics, the repeat sales model observes the price development of a specific house over a period of time.
		The hedonic model is based on seven main effects, namely location (local authority district), cluster (an ONS classification of local authorities), dwelling type, type of neighbourhood (ACORN), number of rooms, whether the property is old or new, and whether the buyer is a former owner-occupier or a first-time buyer.
	www.mouse-price.com /Articles/House_Price_Indices.aspx (4228 words)

	Network Externalities in Microcomputer Software: An Econometric Analysis of the Spreadsheet Market
		Hedonic models are designed to estimate the value that different product aspects contribute to a consumer's utility or pleasure.
		This hedonic regression approach, developed in the 1920s, has been used on a wide variety of products and services ranging from asparagus to automobiles to marriage dowries (Rao, 1993).
		Application of a hedonic model similar to the one developed here to that market segment might have provided some indication of whether the value of resulting installed base was likely to be worth the investment.
	ccs.mit.edu /papers/CCSWP158/ccswp158.html (11704 words)

	Abstract - 4th Sensometrics Meeting 1998
		Multiple linear regression analysis (MLR) suffers due to issues of multicollinearity and a requirement that the number of independent observations outnumbers the number of parameters to be estimated.
		Utilities (individual regression coefficients multiplied by mean PC scores on products) are then plotted in two-dimensional maps to evaluate the relative strength of the principal components to drive consumer hedonics for individual respondents and products.
		In these situations, the predictive capabilities of the regression model estimated by the PLS algorithm can be utilized to predict optimal or directional sensory characteristics that could result in improved hedonic ratings.
	www.dina.kvl.dk /~per/sensomhtmls/abs6.html (1277 words)

	College Textbooks Regression Model
		Hedonic models estimate values for the individual characteristics of a good or a service.
		Parameter values from hedonic models can be used by CPI analysts to calculate changes in quality between two items with different characteristics.
		Also, another hedonics study using data from a newer CPI data base is planned within the next year.
	www.bls.gov /cpi/cpictb.htm (2901 words)

	WSU Home Price Index - Center for Real Estate at WSU
		Thus, the results from this regression can tell us how much, for example, an additional bedroom is worth, if the size, age, neighborhood and other features of the home are unchanged.
		The WSU HPI is the 3-period moving average of these quarterly regression coefficients, rescaled so that the value of the index is 100 for the 1st Quarter of 2000.
		The hedonic regression methodology used to calculate the WSU HPI is one of several different techniques that may be employed to generate an HPI.
	www.realestate.wichita.edu /research.housing.wsu_hpi.methodology.asp (612 words)

	Hedonic Pricing Method
		The hedonic pricing method relies on information provided by households when they make their location decisions.
		The hedonic pricing method can also be used to estimate the value of a statistical life.
		Imagine that you collect data on housing prices in a local market (these are recorded in the courthouse after the sale) and the characteristics of the house (square footage, lot size, etc.).
	core.ecu.edu /econ/whiteheadj/5000/ch10b/hpm.htm (631 words)

	FREC 444--9: Related-Market Valuation
		For example, housing is a composite good, and housing prices or rents (P) can be decomposed via regression analysis to identify implicit prices for the various attributes X and Q (bedrooms, bathrooms, square footage, age of house, etc., as well as local environmental quality attributes).
		This means that the marginal implicit price function derived from a hedonic regression on diverse neighborhoods is really the "envelope" of a series of equilibria in distinct housing markets, and the actual demands for Q will be different in each market.
		In this case a hedonic analysis of market values would probably understate the current costs of the pollution, while a hedonic analysis of current rents would not.
	www.udel.edu /johnmack/frec444/hedonics.html (832 words)

	Hollandaise: The Decline of the Wild West, part I
		Regardless of which approach is right, the effect of the different approaches is to produce an upward bias in estimates of US output growth, as compared to that of European countries.
		Since hedonic regression dampens (the appearance of) inflation, you also use it when you're transforming nominal GDP into real GDP.
		If you strip out this effect and the effect of hedonic pricing, then, at least according to this guy, about half of the gain in multifactor productivity in the US since 1995 disappears.
	emmering.blogspot.com /2005/06/decline-of-wild-west-part-i.html (2017 words)

	AN EXECUTION OF THE SALES APPROACH USING STATISTICS -- April 2001
		The random error is the difference between the comparable sale price and the same regression equation using the description of the comparable as the variables.
		The use of regression analysis here is essentially "hedonic regression" which is discussed in the literature and will not be discussed here.
		COMPARABLE SELECTION Starting with the notion that the effects of price drivers, not included in the regression equation are included in the random error, comparables are selected that occupy the same market niche as the subject and have regression model random errors "about equal to" the random error of the subject.
	www.peak.org /~detweij/real_estate_html/COM_THE1.HTM (877 words)

	Hedonic Prices Indexes for New Passenger Cars in Portugal (1997- 2001) ewp-em/0303003 (Site not responding. Last check: 2007-10-04)
		Hedonic regression models are studied, giving particular emphasis to the relation between the form of the price index and the specification of the hedonic equation and estimation method used.
		It is argued that when log-linear hedonic functions are used the effects of quality change should be evaluated using a method akin to the Oaxaca decomposition (Oaxaca R., 1973, "Male-Female Wage Differentials in Urban Labor Markets", International Economic Review, 14, 693-709), rather than using the traditional dummy variables method.
		The results of the empirical part of the paper indicate that the CPI component corresponding to the sales of new passenger cars may have been overestimated by as much as 2.2 percentage points per year.
	econwpa.wustl.edu /eprints/em/papers/0303/0303003.abs (366 words)

	Assessing the non-timber value of forests: a revealed-preference, hedonic model
		This definition was applied to estimate the non-timber value (NTV) of Forest Inventory and Analysis plots in the Wisconsin maple-birch forest type, with a Markov decision model to predict the decision that would have maximized the timber income.
		Then hedonic regression was applied to determine how the biophysical characteristics of stands and the socioeconomic setting influenced NTV.
		The hedonic pricing model showed that stands with the same tree distribution had significantly higher NTVs for national forests, and similar NTVs for other ownership types.
	www.srs.fs.usda.gov /econ/pubs/rqs003.htm (355 words)

	Journal of Real Estate Finance and Economics (Site not responding. Last check: 2007-10-04)
		The paper examines a number of hypotheses that underpin the repeat sales and hedonic approaches to the construction of housing price indexes, as well as the practical problems associated with the implementation of either approach.
		Hedonic techniques are better suited to contend with index number problems per se, as they can accommodate changing attribute prices over time.
		Drawbacks of the hedonic approach include the usual concern with omitted attributes, and their effect on the estimated price index.
	www.jrefe.org /ab14-1a3.html (143 words)

	Estimation of Regression Coefficients in the Prese... (Site not responding. Last check: 2007-10-04)
		Estimation of Regression Coefficients in the Presence of Spatially Autocorrelated Error Terms.
		This paper presents a maximum likelihood procedure for simultaneously estimating the parameters of the correlation function and the regression coefficients.
		Estimation of an hedonic regression illustrates the technique.
	db.socionet.nw.ru /RuPEc/xml/tpr/article-restat/tprrestatv:70:y:1988:i:3:p:466-74.xml (72 words)

	Institute for Fiscal Studies: Publications
		In this paper we show that the sharp RDD straightforwardly generalizes to the instances in which the eligibility for the program is established with respect to an observable pre-program measure with eligible individuals self-selecting into the treatment group according to an unknown process.
		This paper uses non-parametric regression with smoothness induced by imposition of a roughness penalty to estimate time-dependent relationships between age and intakes of energy, total fat and saturated fatty acids employing data on household food acquisitions from a continuous survey covering the period 1975-94.
		Methods of estimation of regression coefficients are proposed when the regression function includes a polynomial in a ‘true’ regressor which is measured with error.
	www.ifs.org.uk /publications.php?heading_id=11 (4294 words)

	Lies, Damn Lies, and CPI (Site not responding. Last check: 2007-10-04)
		For instance, if a computer operated at 50mhz seven years ago, and 1000mhz today, the BLS would claim the price of the computer today reflects much higher quality, so the price must be adjusted downwards dramatically to account for quality.
		The BLS website ( http://www.bls.gov/) has many essays that are dozens of pages in length on hedonic theory as applied to different items.
		By using the mathematical equivalent of tea leaves and goat bones, the BLS statisticians have created a surreal new reality where the “true quality adjusted” price of different goods may be “computed.” This practice creates a huge disconnect with reality.
	www.zealllc.com /commentary/damnlies.htm (2966 words)

	EconPapers: Statistical Theory of Hedonic Price Indices
		Abstract: In the economic literature, essentially, hedonic techniques either are applied straightforwardly or the economic foundations of the hedonic hypothesis are discussed.
		After a short overview on well-known functional forms of hedonic equations, first, precise hedonic notions of a good and its price are specified.
		It is shown, first, that the usual hedonic price index formulae result from estimating certain true indices in a special way and, second, that the techniques used in practice for estimating hedonic indices are just first approaches.
	econpapers.hhs.se /paper/fridqewps/wp0001.htm (266 words)

	EconPapers: Exact Hedonic Price Indexes
		In that case, both the marginal value of characteristics and a fixed-weight price index can be estimated from a hedonic regression.
		Since the price-cost markups are an omitted variable in the hedonic regression, they will bias the coefficients obtained.
		For a special class of utility functions, we argue that a linear regression will still provide a measure of the marginal value of characteristics, but a log-linear regression will overstate these values.
	econpapers.repec.org /paper/nbrnberwo/5061.htm (326 words)

	developing an hedonic regression model for dvd players in the us cpi (Site not responding. Last check: 2007-10-04)
		Developing an Hedonic Regression Model for DVD Players in the US...
		The hedonic regression used data from the filings by regional telephone...clothes washers and dryers, DVD players, microwave ovens, refrigerators,...
		Shepler, Nicole, —Developing a Hedonic Regression Model For Camcorders In the.US CPI“, BLS draft paper (http://www.bls.gov/cpicamco.htm).
	www.popfinder.com /developing_an_hedonic_regression_model_for_dvd_players_in_the_us_cpi (441 words)

	Nat' Academies Press, At What Price?: Conceptualizing and Measuring Cost-of-Living and Price Indexes (2002)
		Fixler, Dennis, C. Fortuna, J. Greenlees, and W. Lane 1999 The Use of Hedonic Regressions to Handle Quality Change: The Experience in the U.S. Paper presented at the fifth meeting of the International Working Group on Price Indexes.
		Shepler, Nicole 2001 Developing a Hedonic Regression Model for Camcorders in the U.S. Unpublished paper, Bureau of Labor Statistics, U.S. Department of Labor.
		Thompson, William 2000 Developing a Hedonic Regression Model for VCRs in the U.S. Unpublished paper.
	books.nap.edu /books/0309074428/html/293.html (4505 words)

Try your search on: Qwika (all wikis)