24 research outputs found
The Opportunity Cost of the Conservation Reserve Program: A Kansas Land Example
The effects of the Conservation Reserve Program (CRP) on farmland values is investigated using a set of parcel-level data for land sales in Kansas over the period 1998 to 2014. The sales data are used to estimate a hedonic model of land values that allows for the opportunity cost of CRP enrollment to vary across space and time. Factors impacting the opportunity costs include the relative productivity of land, returns to farming, and the time remaining under the CRP contracts. We find that the discount associated with having land under CRP contract averages 7%
Impact of Agriculture on Rural Tourism: A Hedonic Pricing Approach
The increased awareness of farmers' role in the maintenance of rural landscapes may contribute to a reassessment of the place of agriculture in society. In this paper, we look at how this role, in relation to landscape, is valued by rural tourists or, in other words, whether it is a response to a societal demand, as is argued by defenders of multifunctional agriculture. The results from a hedonic pricing analysis indicate that landscape features associated with agricultural activities (such as meadows and grazing cattle) positively influence the demand for rural tourism and have a positive impact on the price tourists are willing to pay for rural accommodation. This is also illustrated by the adverse impact of perceived negative externalities from agricultural production (such as intensive maize cultivation) on this price
A Hedonic Pricing Model of Lift Tickets for US Alpine Ski Areas: Examining the Influence of Crowding
The relevance of hedonic price indices
We argue that for the case of heterogeneous commodities with infrequent tradings, such as paintings, it is relevant to base a price index on hedonic regressions using all sales and not resales only. To support this conclusion we construct a price index for paintings by Impressionists and their followers and compare the various estimators using bootstrapping techniques. Copyright Kluwer Academic Publishers 1996price index, heterogeneous commodities, returns on art investment,
The Accuracy of Owner-Provided House Values: The 1978-1991 American Housing Survey
The American Housing Survey (AHS) includes the owner's valuation of the house as a measure of the house's value. If owner-stated values are accurate, the AHS (as well as other survey instruments) can be used by researchers studying a variety of topics. In this study we use the metropolitan version of the AHS for three cities over fourteen years to compare owners' valuations with sales prices of houses that sold in the twelve months prior to an interview. We find that, on average, recent buyers report house values that are 8.4% higher than the stated sales prices. Further analysis indicates that these recent buyers, when compared with owners with longer tenure, overvalue their houses by 3.3%, on average. Thus, we find that the average owner overvalues his house by 5.1%. Also, differences between sales prices and owners' valuations are not related to particular characteristics of the house, occupants (other than length of tenure), or neighborhood. Thus, the use of the owners' valuations will result in accurate estimates of house price indexes and will provide reliable estimates of the prices of house and neighborhood characteristics. Copyright American Real Estate and Urban Economics Association.
Factors Influencing Illinois Farmland Values
A hedonic model of Illinois farmland values is estimated using county-level cross-section time-series data. Explanatory variables include land productivity, parcel size, improvements, distances to Chicago and other large cities, an urban-rural index, livestock production through swine operation scale and farm density measures, population density, income, and inflation. The inclusion of spatial and serial correlation components substantially improves the model fit. Farmland values decline with parcel size, ruralness, distance to Chicago and large cities, and swine farm density, and increase with soil productivity, population density, and personal income. Copyright 2006, Oxford University Press.