Chained,exact and superlative hedonic price changes: estimates from microdata

Scanner data are used to calculate chained, exact (and superlative) hedonic price indexes for television sets. The data source is available for a wide range of goods, the application providing an example of how this method can be more widely applied. The indexes correspond to constant utility, hedonic cost-of-living indexes. The approach improves on the existing direct method, which takes its estimates directly from the coefficients on time dummies in a hedonic regression. It also improves on the matched model method used by statistical agencies. The differences between actual price changes and exact hedonic quality-adjusted price changes are found to be substantial. Base-period and current-period weighted exact hedonic indexes are similar, thus providing good approximations to a superlative index. Estimates from the direct, dummy variable approach were compared to the superlative indexes. The disparities between the results argue for caution in the use of the direct, dummy variable approach to estimating quality-adjusted price changes.     

Estimating Quality‐adjusted Price Changes: Method and Application to VCRs

This paper uses scanner data to generate estimates of quality‐adjusted price changes for video‐recorders. We use hedonic regressions to derive estimates of the changing worth of each quality component. These are then applied to weighted changes in the mix of quality attributes of products to derive estimates of quality‐adjusted price (QAP) changes. The data source used is electronic‐point‐of‐sale (EPOS) scanner data that are available for a wide range of goods. This study provides an example of how such methods can be more widely applied. The estimates of QAP changes correspond to constant‐utility, (hedonic) cost‐of‐living indexes defined in economic theory as the ratio of expenditure functions at constant utility allowing for changing prices and characteristics of goods. This method is proposed as an improvement on the existing direct method , which takes its estimates directly from the coefficients associated with 'time dummies' in a hedonic regression. We finally undertake a matching process, akin to that used by statistical offices, and compare the results. Direct comparisons with RPI estimates and these hedonic approaches are not easy since the approaches use quite different data sets. Our replication of a procedure akin to that used for the RPI on the scanner data set provides insights into sources of potential bias.     

Estimating exact hedonic indexes: An application to UK television sets

Much attention has been given to the estimation of hedonic regressions given their potential use as a means to adjust consumer and producer price indices for quality changes. However, there has been warranted criticism over the methods used, particularly relating to the econometric specification of the models. Much of the criticism has arisen from the inability of available data to match the requirements of a fully specified model. Using EPOS scanner data for UK television sets we provide reliable hedonic estimates which incorporate several developments. Such data are available for a wide range of product areas and this application illustrates how they might be used. We develop methodology to help surmount problems arising from omitted variables, the coexistence of new and old models, weighting of observations and quality changes common to all models. More specifically we pay particular attention to the neglected area of product markets where pricing is above marginal cost.     

AN EVALUATION OF THE USE OF HEDONIC REGRESSIONS FOR BASIC COMPONENTS OF CONSUMER PRICE INDICES

The importance of adjusting for quality changes in the measurement of consumer prices, and the role hedonic regressions can play in achieving this, is well recognised. However, the use of such regressions can take different forms, including (i) adjustments by statistical offices for non-comparable substitutions via the matched models method , (ii) direct estimates from the coefficients on dummy variables for time, and (iii) exact hedonic and superlative indices corresponding to a constant utility formulation from an economic theoretic approach. The literature on these approaches generally deals with each in isolation; the purpose of this paper is to outline and evaluate them in order to draw conclusions as to their practical suitability for the compilation of quality-adjusted consumer prices indexes. The case is argued for a move towards the last of these approaches, which developments in electronic data retrieval (scanner data) now make feasible. The paper concludes with the results of some empirical work comparing the results of the direct method with those from the exact, superlative, approach.     

Estimating compensating and equivalent income variations from hedonic price models

Estimates of welfare changes obtained from hedonic price models usually consist of changes in Marshallian consumer's surplus. This note shows how compensating and equivalent income variations can be computed from the information available in hedonicprice models.     

Alternative Land-Price Indexes for Commercial Properties in Tokyo

The System of National Accounts (SNA) requires separate estimates for the land and structure components of a commercial property. Using transactions data for the sales of office buildings in Tokyo, a hedonic regression model (the “builder’s model”) was estimated and this model generated an overall property price index as well as subindexes for the land and structure components of the office buildings. The builder’s model was also estimated using appraisal data on office building real estate investment trusts (REITs) for Tokyo. These hedonic regression models also generated estimates for net depreciation rates, which can be compared. Finally, the Japanese government constructs annual official land prices for commercial properties based on appraised values. The paper compares these official land prices with the land prices generated by the hedonic regression models based on transactions data and on REIT data. The results reveal that commercial property indexes based on appraisal and assessment prices lag behind the indexes based on transaction prices.     

Estimating British workers' demand for safety

This paper estimates workers' demand function for job safety using the British General Household Survey data. The estimation employs Rosen's two-stage procedure. The main difference between our study and those done in the past is that we estimate hedonic price equations with data sets from two labour markets. Our approach overcomes the usual identification problems associated with the application of Rosen's method. The estimation shows that there is a significant wage compensation for job risk in the UK. The willingness-to-pay for a 1/100 000 decrease of annual job fatal accident rate from our estimated workers' demand function is about £6 in 1973 prices. The estimation of a demand function for safety also enables the derivation of workers' willingness-to-pay for non-marginal change of job risk, and this can be used for cost-benefit analysis on projects involving such non-marginal changes.     

On the Use of Subjective Well-Being Data for Environmental Valuation

This paper explores the potential of using subjective well-being (SWB) data to value environmental attributes. A theoretical framework compares this method, also known as the life-satisfaction approach, with the standard hedonic pricing approach, identifying their similarities and differences. As a corollary, we show how SWB data can be used to test for the equilibrium condition implicit in the hedonic approach (i.e., equality of utility across locations). Results for Ireland show that the equilibrium condition required by the hedonic pricing approach in Irish markets does not hold. They also show that air quality, in the baseline specification, and warmer climate, across all the specifications, have a significant positive impact on SWB. Their associated monetary estimates, however, seem too large.     

ASSESSING THE QUALITY ERROR IN OUTPUT MEASURES: THE CASE OF REFRIGERATORS*

This paper computes new indexes of output for refrigerators, using hedonic methods to adjust for quality change. The hedonic technique is applied in a new way (it is used to make quality adjustments to prices before they are used in the index), and the results are compared with those from methods used in previous hedonic investigations. There are three major findings. (1) Overall (1960–1972), our hedonic deflated output series rise more rapidly than conventional measures, because the price indexes used for deflation rise more slowly. (2) The output measures fluctuate more than do output measures produced by conventional methods, because adding hedonic quality adjustments to WPI indexes moves them up in some years and down in others, and the resulting adjustments to the output series were positively correlated with changes in output. (3) Applying methods used in previous studies produces larger adjustments to the published indexes, suggesting that some of the differences noted in previous studies between hedonic indexes and official published indexes are related to computational methods, not to quality adjustment.     

The role of innovation and quality change in Japanese economic growth

This paper explores the use of time series data to isolate quality change in the Japanese economy using a hedonic procedure. We argue that the traditional approach to hedonic estimation based upon panel data sets of different brands in a given product area is extremely resource intensive and, thus, unlikely to be adopted by official statistical bodies outside of key areas, such as computers. This paper adopts a “top-down” approach to see whether more traditional measures of technical change, such as patents, can be used to separate pure inflation from quality change. If this is possible, it offers a much simpler route to estimate the role of quality change in economic growth and performance. In practice, we extend the analysis not only to include patents, but other forms of intellectual property that might reflect technology and attribute changes, such as designs, utility models and trademarks. We begin by taking a longer-term historical perspective, exploring the development of indigenous inventive capacity in Japan during the early years when R&D data are not available. It is possible to show that the rise in utility models pre-dates the main growth in patenting activity, suggesting the development in more low-level indigenous creative work prior to higher level inventive activity. The principal aim of this paper, however, is to demonstrate that it is possible to develop robust models to explain changes in the producer price index in Japan, which can then be used to re-examine Japanese growth performance over the period from about 1960. If the official Japanese statistical body has fully accounted for quality change in the price indices (i.e. produced fully quality-constant price deflators), then the official estimates of growth will be correct. However, we provide strong evidence that this is not the case. Changes in quality, proxied by the IP variables, are important determinants of prices in Japan over the period 1960 to 1995 as a whole. Indeed, we provide evidence that the true rate of growth of the Japanese economy, taking into account the rate of quality change, is significantly higher than that suggested in official statistics.     

Using Scanner Data to Estimate Country Price Parities: A Hedonic Regression Approach

This paper uses scanner data from the bar-code readers of retailers to provide estimates of inter-country price parities at the level of the basic heading. The use of such data is appealing given its extensive coverage of transactions, information on weights, prices and characteristics of items at a highly detailed level. The study uses dummy variable hedonic and exact/superlative hedonic index number formulations applied to an inter-country context for both bilateral and multilateral comparisons. Unlike conventional methods, such methods are not confined to matched samples comparisons and thus make use of the entire sample. Their application extends to price survey data using checklists on characteristics. The application is to scanner data on about 1 million transactions for television sets over two months in three countries. It is, to the authors' knowledge, the first such use of scanner data and application of the above hedonic frameworks in this context.     

Hedonic prices and cost/benefit analysis

Hedonic prices have been used to evaluate the willingness to pay for attributes. We reformulate the notion of hedonic price from a composite price on housing to a unit price on traded quantities, in conformity with long run competitive equilibrium theory. This formulation was suggested (but not developed) by Rosen (J. Polit. Econ.82, No. 1 (1974), 34–35). By first characterizing an efficient allocation of consumers to space, we show that hedonic unit prices can be understood as a bid-rent function which supports the efficient allocation. This is despite the fact that the lots over which consumers bid are themselves endogenous. We show that unit hedonic prices reveal preferences in a manner different from composite hedonic expenditures.     

The short-run and long-run benefits of environmental improvement

The social value of a nonmarginal improvement to amentities is not related to hedonic prices in a simple way. Furthermore, hedonic price data do not completely reveal preferences. In order to evaluate short-run benefits of an improvement, the rate of change of the hedonic price function must be normalized by a ratio of population densities. To calculate long-run benefits of the improvement one must calculate the responsiveness of population densities to the nonmarginal improvement. A technique to do so is suggested.     

基于享乐价格理论的旅游产品定价研究

基于享乐价格理对旅游景区的价格竞争力进行分析。首先根据旅游产品的特性构建景区价格评价体系,同时对分析指标进行分类量化;其次利用SPSS 17.0对所研究的旅游景区的面板数据进行多元回归分析,构建最优享乐价格模型。研究得出的结论为:景区林木覆盖率,水质,气候,景区基础设施,服务环境,景区级别,景区面积,导游受教育程度,景区的审美价值可以用来较好的解释景区的价格竞争力问题。     

DAMS, DAM REMOVAL, AND RIVER RESTORATION: A HEDONIC PROPERTY VALUE ANALYSIS

This article presents the results of a hedonic property value analysis for multiple hydropower sites along the Kennebec River in Maine, including the former site of the Edwards Dam in Augusta, Maine. The effect of the removal of the Edwards Dam on the Kennebec River in Maine is examined through consumer's marginal willingness to pay to be close to or distant from the dam site. Data from both before and after the dam was removed are used to estimate changes in marginal prices. A similar data set is also used to look at the effects of the remaining upstream dams on property values. This article presents one of the first (to our knowledge) ex post analyses on the economic impact of dam removal on property values. As more privately owned dams in the United States come up for relicensing, evaluating the impacts with and without the dam will become increasingly important. This work can help inform those analyses. ( JEL Q25, Q51, Q58)     

LEARNING IN A HEDONIC FRAMEWORK: VALUING BROWNFIELD REMEDIATION

Incomplete information in property value hedonic models can bias estimates of marginal willingness to pay (MWTP). Using brownfield remediation as an application, this article recovers hedonic values from a dynamic neighborhood choice framework that allows households to learn about brownfield contamination in a Bayesian fashion before choosing where to live. I find that ignoring learning yields nontrivial biases to the MWTP estimate. This has important implications for hedonic valuation if agents are imperfectly informed. Estimates are used to calculate information's value had it been withheld from the public and to assess heterogeneity in information's value along site and homebuyer demographics.     

Property Prices and Exposure to Multiple Noise Sources: Hedonic Regression with Road and Railway Noise

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 that individuals are more disturbed by road than railway noise, but contradicts recent results from a hedonic study on data of the United Kingdom.     

Quality-corrected price indices: the case of the Dutch new passenger car market, 1990–1999

Market dynamics and technological developments constitute a major challenge to the proper measurement of the price evolution of durable goods. In this study, hedonic methods are used to estimate quality-corrected price indices of new passenger cars in the Netherlands, 1990–1999. Use is made of a huge set of price, quantity and quality information about 11,000 car models, obtained from different sources. During the observation period the nominal price level of all available car models increased about 20% on average, while the shares of car models with airbags, tinted glass and power steering increased from almost nothing to about 90%. Matched model price indices and the official CPI for new passenger cars, which partially account for quality-adjustments, estimate the price increase to be equal to 10.6–14.2% respectively 11.2% for the 1990–1999 period. By contrast, the hedonic Fisher-like price indices based on the preferred annually estimated brand-weighted semi-log hedonic model, lead to price changes varying from +?2.3% to ??3.4% (depending on the choice of weight variable, and the use of fixed or varying reference periods in the index construction) and thereby fall 8.9 to 14.6 percentage points below the official figures, over the period 1990–1999. The pooled adjacent-years model holds an intermediate position with a predicted quality-corrected price decrease of 1.8% over the observation period, which is 13.0 points below the CPI.     

An Application of Hedonic Regression to Evaluate Prices of Polish Paintings

As the global financial crisis hit the world-wide stock markets, investors looked for alternative investments to diversify their portfolios. One of the more attractive alternate investment opportunities has been investment in art. However, in order to consider artworks as investment assets, the performance of the artworks must be evaluated in order to compare it to other financial instruments. Therefore, hedonic art price indexes are constructed for different art markets. The art market in Poland is characterized by a limited scale since it has only been developing since 1989. The aim of our research is evaluation of the hedonic art price indexes for Polish paintings. Hedonic regression models are estimated using data from auctions of paintings that took place in Poland in the years 2007–2010.     

Beyond implicit prices: recovering theoretically consistent and transferable values for noise avoidance from a hedonic property price model

Using a two-stage hedonic pricing methodology we estimate a system of structural demand equations for different sources of transport-related noise. In the first stage, we identify market segments using model-based clustering techniques and estimate separate hedonic price functions (HPFs) for each segment. In so doing, we show how a semiparametric spatial smoothing estimator outperforms other standard specifications of the HPF. In the second stage, we control for non-linearity of the budget constraint and identify demand relationships using techniques that account for problems of endogeneity and censoring of the dependent variable. Our estimated demand functions provide welfare estimates for peace and quiet that we believe to be the first derived from property market data in a theoretically consistent manner.