Hedonic Price Research Articles

Investigating inefficiencies in the German rental housing market: The impact of disclosing total costs on energy efficiency appreciation

Energy efficiency and renewable energy are key pillars of the energy transition that is high on the political agenda of governments in face of the climate crisis. Germany, however, is underperforming in its emissions reduction goals. There is still room for improvement, especially in the building sector – but this is often associated with high upfront investments. There is evidence that the market for energy efficiency in the German rental housing market is inefficient, resulting in underinvestment. To investigate these inefficiencies, this study estimates a hedonic pricing model combined with a total-cost-of-use perspective based on the observation of warm rents for a sample of 3,903,473 rental offers from 2014 to 2021. In a “perfect world”, the effect of the energy performance score given in energy performance certificates as an indicator of energy consumption or demand, respectively, is expected to be zero, as corresponding costs are already included in the warm rent. If the coefficient is significantly different from zero, it can be interpreted as measure for inefficiencies. The study further investigates whether disclosing heating costs in real estate advertisements could lead to a better appreciation of energy efficiency in the rental market and thus contribute to closing the information gap. Results show that the market for energy efficiency is indeed inefficient; however, the disclosure of full information can help to overcome these inefficiencies. These results lead to several important policy implications.

From shopping centers to cultural centers: Los Angeles strip malls as sites of ethnic and immigrant placemaking

ABSTRACT The strip mall is a ubiquitous urban design type formed by a strip of commercial establishments on a single parcel of land that surround an open, street-facing parking lot. We hypothesize that they are important sites for ethnic and immigrant businesses in LA and, in particular, that their relatively low rents, location, and design (including site layout, unit size, and structure quality) are particularly conducive for ethnic cultural placemaking. Using data about the built environment, real estate market, and our own original “EthniCITY” spatial database of race/ethnicity placemaking patterns in Los Angeles, we use mapping and spatial analysis, descriptive statistics, a hedonic price model, and groundtruthing fieldwork to find that small and medium-sized strip malls are important ethnic places in Los Angeles, hosting the most ethnic commercial establishments amongst all commercial building types. We also find that half of all small strip malls are located within ethnic cultural hubs. Our findings suggest that physical urban design matters in shaping the cultural life of cities and the geographic opportunities for immigrant entrepreneurship.

The moderating effect of seasonality in the hotel industry. Does market concentration favour tacit collusion?

Market concentration is associated with higher prices. However, previous research has not considered whether the market concentration effect on prices is moderated by seasonality in markets where firms switch from peak demand to low demand periods. This study analyzes market concentration effect on prices and price variability in the hotel industry. Through hedonic price models, the paper analyzes the influence of market concentration on hotel prices and how quality, distance to the city center or seasonality influence hotel prices. A higher market concentration is associated with higher prices. The effect of market concentration on prices is 1.7 times higher in the peak demand season than in the low demand season. Price variability between hotels for a given day in a particular market is partially explained by differences in service quality among hotels in the same city but also by the level of market concentration. We find that higher market concentration reduces price variability, a result consistent with the existence of tacit collusion.

Estimating the Drivers of Urban Apartment Valuation by Using Hedonic Pricing Models: A Study on Dhaka City

Estimating the Drivers of Urban Apartment Valuation by Using Hedonic Pricing Models: A Study on Dhaka City

Geographical indications and organic labels: complements or substitutes? - the case of online rice consumption in China

ABSTRACT Agricultural producers are increasingly adopting a multi-certification approach for their agricultural products, which includes designations such as organic and geographical indications, instead of relying solely on a single certification. This inclination towards multiple certifications predominantly stems from a desire to optimize profits. Nevertheless, the ultimate profitability for producers hinges on whether consumers are genuinely inclined to pay a premium for these recognized certifications. This study employed the hedonic model to estimate consumers’ willingness to pay for the geographical indication and organic label in China and their interaction effect, focusing on rice as the product of interest. We collected data from one e-commerce platform in China, JD.com, and developed a dataset with 2484 observations based on the actual transaction price. The results reveal that Chinese consumers exhibit positive and significant price premiums for products with geographical indications, regardless of whether they are well-known or normal geographical indications. Furthermore, our findings suggest that the organic and geographical indication labels function as substitutes rather than complements. This underscores the importance of government efforts to intensify promotion, emphasizing the unique attributes of these labels and accentuating their differences.

Quality adjustment and analysis of human resource prices in China: Based on a hedonic price model.

The competition in the world has shifted from natural resources and capital resources to human resources. The human resources have become the real power source of the economic growth. Firstly, the price of human resources in China is calculated. Secondly, in order to measure the human resources quality adjustment index, the indicators system is constructed. Third, the Hedonic method is used to calculate the human resources "pure price" of 31 provinces (autonomous regions and municipalities directly under the Central Government) in China. The "pure price" has no the factor of human resources quality. Lastly, comparing the price of human resources before and after quality adjustment. The results show that: first, the number of human resources in China increased continuously during 1995-2015 and decreased during 2016-2020. Second, the price of nominal human resources in China keeps rising. In 2020, the nominal price is 39,087 yuan per person which is 15.44 times as many as in 1995. Thirdly, after the quality adjustment, the price of human resources has decreased significantly. The multiple between the actual and nominal price of human resources is between 1.75 and 2.12. Fourthly, the province with high human resource quality adjustment index generally have high quality human resource level or quantity. Fifth, the top five provinces of actual human resource prices are Shanghai, Beijing, Guangdong, Tianjin, Zhejiang, the bottom five provinces are Guizhou, Yunnan, Henan, Xizang, Gansu. Finally, the paper puts forward some policy recommendations: Improving the data collection mechanism of human resources accounting to provide a basic guarantee for the accurate accounting of human resources. Improving the price of human resources in the central and western regions to attract the talents to transfer to the central and western regions. Enhancing the skills training of human resources to improve the quality of human resources in the western region.

The reverse mortgage market in New Zealand: key drivers of loan determination

ABSTRACT This paper examines the drivers of loan principals in the reverse mortgage and equity release market in New Zealand using a hedonic price model (HPM) approach. Our analysis using reverse mortgages data between 2004–2021, sourced from one major reverse mortgage bank, provides four key findings. First, the term of payment for repaid reverse mortgages is positively associated with loan principals, implying that longer repayment terms allow applicants who were able to repay mortgages to borrow more. Second, there is partial evidence to suggest the presence of a positive linear impact of the value of the current property on its loan principal, in line with previous house price modelling studies. Third, older applicants (age 75+) borrow less than younger applicants, which may be due to their repaying ability. Fourth, we confirm a positive effect of interest rates on reverse mortgage amounts but reject the positive association between wider loan-to-value policy restrictions and equity release lending amounts. The results broadly highlight that the house price is more relevant than any individual characteristic of a property in determining loan principals, and that all drivers are relevant in the early stage of the development of the reverse mortgages market in New Zealand.

Consumer preferences for attributes in sweet beverages and market impacts of beverage innovation

Consumption of sugar-sweetened beverages (SSB) is considered as an important risk factor for the development of overweight and obesity in populations worldwide, with a particular focus on the risks in the younger parts of the population – children and adolescents. Together with fiscal measures and information tools, innovation-based approaches such as the development of sugar-free or sugar-reduced versions of established beverages and development of new beverage products have been used to reduce this challenge, but the effects of product innovation on sugar intake are not well understood from the literature, as previous studies have largely ignored substitution effects of product innovation in the beverage domain. The objective of the present study was to investigate the potential effectiveness of product innovation as a strategy to affect consumers' intake of energy from sweetened non-alcoholic beverages. Using household panel shopping data from approximately 3000 Danish households over the years 2006–2014, we developed a hedonic pricing approach to estimate the influence of product attributes on consumers' utility, based on observed data for Danish households' purchases of sweet drinks. Overall, the study found that beverages’ degree of sweetness positively affected the satiation effect of beverage consumption and in turn made the demand for these beverages less sensitive to e.g. price changes or introduction of competing products, whereas the energy density of the beverages positively affected the demand sensitivity to market changes. Findings like these can be useful for assessing market effects as well as environmental and public health impacts of changes to the market environment.

Does better accessibility always mean higher house prices?

Numerous studies have explored the correlations between house prices and spatial accessibility, but few have delved into the nonlinearities between both. This study uses Cardiff (UK) as a case study and applies interpretable machine learning algorithms, eXtreme Gradient Boosting (XGBoost) and SHapley Additive exPlanations (SHAP), to estimate the nonlinear effects of geometric locational accessibility and street network accessibility on house prices. The findings suggest (1) proximity to the CBD, typically the major determinant of land values in hedonic house price models, does not continuously yield higher prices; (2) street closeness centrality, a network-modelling approach to measuring accessibility, exhibits a more generalised pattern with house prices compared proximity to the CBD regardless of analytical spatial scales. The findings challenge the generalizability of Alonso’s bid-rent theory in accurately portraying the relationship between accessibility and house prices in specific urban contexts, highlighting the importance of re-evaluating classical urban theories in different city contexts using novel measures and modelling techniques.

Subsidies or green taxes? Evaluating the distributional effects of housing renovation policies among Dutch households

Despite persistent housing affordability issues, energy policy and housing renovation are usually investigated separately from housing costs other than energy. Researchers have examined the financial viability of renovation attending to building conditions and the socio-economic characteristics of their occupants. However, the distributional impacts of renovation incentives and the potential of fiscal policy to redistribute housing costs remain understudied. Dutch fiscal policy, favouring homeownership, offers a relevant context to evaluate how property taxation can boost renovation rates. The novelty of this paper resides in investigating the impact of two policies, the current direct subsidy and a proposal for a green tax, on both the financial viability of renovation and the subsequent distribution of housing costs. The proposed green tax combines energy efficiency and taxation of property revenue. We employ a model considering marginal costs of housing renovation, obtained from a government dataset, and marginal benefits, drawn from a hedonic regression. We assess the distributional impacts of different policy scenarios by examining changes in user costs across income deciles. Our findings indicate that existing renovation subsidies exacerbate the regressive distributional impacts resulting from the current housing taxation system in the Netherlands. Introducing energy-efficiency-linked property taxation can make homeownership fiscality less regressive while incentivising housing renovation. Ultimately, this study highlights the importance of incorporating housing affordability as a fundamental element in renovation policies to balance environmental and distributional objectives.

Area-Based Hedonic Pricing of Urban Green Amenities in Beijing: A Spatial Piecewise Approach

AbstractThis study explores a spatial piecewise approach for the hedonic valuation of the area of urban green space at different distances from a property, using a rich census dataset collected from Beijing. We explore three novel empirical strategies that improve the identification of the spatial boundary or threshold distance within which green space is capitalised into housing prices. We first delineated a series of concentric circles surrounding each property and measured the area of green space within each doughnut-shaped ring. We next estimated the hedonic price using three methods. The first is a regression spline model combined with a machine learning type of model selection procedure which objectively selects the exact location of the threshold distance that optimises the model’s predictive performance. The second is a novel matching algorithm that minimises covariate imbalance for a continuous treatment variable (i.e., the area of green space) to provide stronger causal evidence on the hedonic prices of green space at different distances. The third is a spatial difference-in-differences approach that further accounts for endogeneity bias associated with unobserved factors. For our dataset, we found that housing prices are more likely to be affected by green space within a 1 km radius.

Price Model for Transit-Oriented Developments in Kuala Lumpur, Malaysia

Abstract The idea of Transit Oriented Development (TOD) was to foster urban development around railway networks and has been strategically built and applied since the late 19th and early 20th centuries. Previous studies reported positive, negative, or irrelevant impact of TOD on prices of surrounding real estate. The study aims to evaluate the impact of TOD on property prices in Kuala Lumpur. It utilizes secondary data obtained from the National Property Information Centre (NAPIC), Malaysia, after data cleaning, Nine Thousand Five Hundred and Forty-Nine (9549) Housing Transactions between the periods 2009 and 2018 were used. The research design was quantitative, and the Hedonic Price Model (log-log model) was used for data analysis. The model revealed a multiple correlation coefficient (R) of 0.891 and an adjusted R2 value of 0.794, indicating that 79.4% of the house price variation is explained by the model. The F value of 996.921, which is statistically significant, indicates that the predictors significantly combine to predict the price of TOD areas in Kuala Lumpur. The coefficient for LnTrainsta is 0.056, indicating that there was a positive relationship between residential house prices and TOD in Kuala Lumpur; this explains that house prices increase by 5.6% for every 100 meter closer to the rail transit station.

Legumes on the Rise: The Impact of Sustainability Attributes on Market Prices

Despite their environmental value and important role in human nutrition and food security, legumes, including lentils, have been underestimated. Nevertheless, nowadays there is a renewed interest in their consumption due to regional specialization, varietal diversity and their role in the transition towards sustainable production and consumptions systems. Recent years have also witnessed a rise in consumer awareness regarding sustainable food, healthier and plant-based diet and regional or local food systems. The aim of this paper is to evaluate the influence of attributes linked to sustainability, such as biodiversity, organic certification, origin indication, and packaging type, on lentils’ market prices in Italy. Based on the Hedonic Price Model, and following a review of scientific literature, eight lentil characteristics are defined. Data were collected on 228 valid observations of dry and precooked lentils across 20 different retail stores. Results indicate that Italian consumers have a positive appreciation for lentils with organic certifications and references to geographic and territorial characteristics. Some lentil varieties hold unique market positions, suggesting opportunities for diverse product offerings. Packaging materials influence consumer valuation, reflecting trends towards healthy and convenient food options. These insights will aid stakeholders in fostering sustainable practices and enhancing market competitiveness in the Italian lentil market.

How is rooftop solar capitalized in home prices?

Residential solar installations have increased 10-fold over the past decade and are becoming more common in neighborhoods around the United States. This raises the question of how solar affects housing markets. Is the investment fully capitalized in home values? We review the literature on the solar home price premium and present a model to provide a framework for understanding the empirical challenge of quantifying capitalization. We estimate a hedonic model and find that the residual value of a homeowner-owned solar system at the time of a transaction is roughly fully capitalized into home values when we use a discount rate of 15%. Third-party owned systems exhibit a much lower capitalization. We find that solar homes are more likely to have made home improvements leading to substantial bias when home improvements are omitted. We conclude with opportunities for future research.

Ecosystem service values provided by National Parks to residential property owners

This paper focuses on the ecosystem service benefits to homeowners from living in close proximity to three National Parks. Knowing these ecosystem service benefits is of policy and management relevance as expansion of existing Parks and protected areas along ecosystem boundaries often requires acquisition of undeveloped private land or other multiple use public lands, something that local officials may oppose. While the effects on house prices from urban parks, and two other types of U.S. Federal lands have been studied, the effect of lands in the U.S. National Park System on house prices had not been studied at the time of this research. To fill this information gap, hedonic price models were estimated to calculate the effect on residential house prices of proximity to three National Parks (NPs). After controlling for other characteristics of the house, neighborhood, and several other types of open space (e.g., National Forests, County Parks), we estimate house sale prices were on average 9.8% higher for houses within 2 km of National Park boundaries. This house price premium represents the value of the ecosystem services received by homeowners from living in close to these NPs. Quantifiable information on local ecosystem service benefits may ameliorate some concerns by local governments about converting private land or other agencies' multiple use lands in order to expand NPs or protected areas to better reflect ecosystem boundaries rather than historical, and often arbitrary boundaries. In addition, quantifiable information on enhancement of property values may broaden stakeholder groups to include the real estate industry. Thus, our results may support agencies in better achieving their objectives of managing NPs as ecological units.

Investigating the Effect of Transit-Oriented Development (TOD) on Social Equity—Examining the Displacement of Footscray, Melbourne

As Melbourne faces exponential population growth, the necessity for resilient urban planning strategies becomes critical. These strategies include mixed land use, density, diversity, and sustainable transportation through transit-oriented development (TOD). While TOD promises to accommodate growing populations and address environmental concerns, it also raises issues regarding its unintended consequences on poverty and inequality, notably through residential displacement and gentrification. This study investigates the impacts of TOD construction on inequality in Footscray, employing spatial analysis techniques like the hedonic price model (HPM), robust regression analysis, and Pearson correlation analysis. It aims to understand how spatial factors influence housing prices and their correlations. Additionally, the study uses observational spatial analysis via Google Street View (GSV) to examine indices such as housing development type, traffic signage, sanitation facilities, and house beautification. This approach seeks to build an evaluation framework to assess the extent of TOD street reconstruction and its impact on gentrification and displacement. The research adapts existing knowledge to create a tool for reviewing past planning decisions and assessing the fairness of TOD planning implementation. By providing assessment and guidance to mitigate the potential adverse impacts of TOD, this study contributes to the advancement of urban-planning practices, offering insights into mixed land use and effective strategies to balance economic development and social equity, thereby enhancing community resilience. Ultimately, this research deepens our understanding of the impacts of TOD on urban inequality and offers practical tools and insights for more equitable and sustainable urban development.

Hedonic Analysis of Dried Pasta Prices Using E-Commerce Data-An Explorative Study.

Italy is the world leader in the production of pasta and the Italian market is characterized by strong price competition among large industrial producers. Thus, recently, many small and medium firms have started to differentiate their products as a way to achieve higher margins and escape from price competition. Using data on the prices and characteristics of dried pasta sold online in the Italian market and a hedonic price model, we estimated the implicit prices associated with several attributes that are currently available for dried pasta. We find that the "artisanal" statement on pasta labeling is associated with the highest price premium. Also, results show that protected geographical indication, Halal and Kosher certifications, and the use of ancient wheat varieties are valuable features of dried pasta sold in the Italian market. Instead, a positive, albeit limited in magnitude, price premium is associated with dried pasta made using 100% Italian durum wheat semolina, the organic method, enriched with additional ingredients. Findings suggest that producers can differentiate their products by mostly emphasizing their small-scale production methods, the territorial connotation, and the cultural and environmental sustainability of production. Otherwise, certifying dried pasta as Halal or Kosher can represent a complementary or alternative strategy to differentiate the product and achieve a higher price.

Are Hedonic Models Really Quality-Adjusted? The Role of Apartment Quality in Hedonic Models of Housing Rental Market

Abstract In micro-level data concerning the housing market, the apartment quality may be signaled via textual statements or the attached descriptions/photos. It may be done using hard information related to the easier-to-measure structural characteristics or soft information related to the apartment condition and design - soft quality. This paper checks whether the choice of the approach to handling the issue of soft quality of apartments influences the properties of hedonic models and the course of hedonic rent indices. The study shows that hedonic models that account for soft quality have better statistical properties than those without soft-quality-related variables. Among them, the models that include the information on quality extracted from descriptions of apartments prove to be the best. Still, considerable differences in the indicated course of hedonic rent indices have not been detected. However, the paper concludes that utilizing information on apartments’ soft quality may be crucial to understanding the market adjustment process to economic shocks. It has been proven that the price reaction of the Poznań (Poland) rental market to the COVID-19 pandemic and the Russian aggression on Ukraine has been diversified in the quality-related market segments.

Two-step model based on XGBoost for predicting artwork prices in auction markets

Art markets globally have grown, making artwork an investment of note. Precise valuation is pivotal for optimal returns. We introduce a two-step model with a two-level regressor, utilizing extreme gradient boosting (XGBoost) for accurate artwork price prediction. The model encompasses a price-class classifier and regressors for individual categories. This captures diverse factor influences, combining predictions to reduce misclassification risks. Visual features further enhance accuracy through the second-step two-level regressor. Experiments on Korean art auction data demonstrate the superiority of our two-step model with the two-level regressor over one-step and two-step alternatives, as well as the hedonic pricing model. While visual features affected one- and two-step models’ training, they boosted performance when integrated into the second-level decision tree, reducing first-level residuals. This emphasizes the two-level regressor’s efficacy in incorporating visual elements for artwork valuation. Our study highlights the potential of our approach in the field of artwork valuation.

Determining the land valuation model for peri-urban areas in Central Vietnam

The research objective is to build a land valuation model for peri-urban areas in central Vietnam. This was achieved by conducting 200 surveys that examined other factors that influence land prices using a 5-level Likert scale. Then, the Hedonic regression provide novelty in research model was built using SPSS 26.0 software. The research results have given a land pricing model that explains 72.8% of land price fluctuations. This model identifies the main factor causing these fluctuations. These factors include distance to the main road (30.92%), ability to generate cash flow (23.13%), area of the land (16.14%), feng shui (8.14%), location of the land plot (8.00%), width of road attached to the land plot (7.25%), and education level in the area around the land plot (6.44%). This study will illuminate the suitability of the regression model for land valuation in peri-urban regions of Central Vietnam, providing valuable guidance for policymakers, real estate professionals, researchers and the local residents in this field.