Willingness to Pay in Hedonic Pricing Models

The value of a differentiated product is simply the sum of its parts. This concept is easily observed in housing markets where the price of a home is determined by the underlying bundle of attributes that define it and by the price households are willing to pay for each attribute. These prices are referred to as implicit prices because their value is indirectly revealed through the price of another product (typically a home) and are of interest as they reveal the value of goods, such as nearby public amenities, that would otherwise remain unknown. This concept was first formalized into a tractable theoretical framework by Rosen, and is known as the hedonic pricing method. The two-stage hedonic method requires the researcher to map housing attributes into housing price using an equilibrium price function. Information recovered from the first stage is then used to recover inverse demand functions for nonmarket goods in the second stage, which are required for nonmarginal welfare evaluation. Researchers have rarely implemented the second stage, however, due to limited data availability, specification concerns, and the inability to correct for simultaneity bias between price and quality. As policies increasingly seek to deliver large, nonmarginal changes in public goods, the need to estimate the hedonic second stage is becoming more poignant. Greater effort therefore needs to be made to establish a set of best practices within the second stage, many of which can be developed using methods established in the extensive first-stage literature.

Relative Prices and Climate Policy: How the Scarcity of Nonmarket Goods Drives Policy Evaluation

Climate change not only impacts production and market consumption but also the relative scarcity of nonmarket goods, such as environmental amenities. We study fundamental drivers of the resulting relative price changes, their potential magnitude, and their implications for climate policy in Nordhaus’s Dynamic Integrated Climate-Economy (DICE) model, thereby addressing one of its key criticisms. We propose plausible ranges for these relative prices changes based on best available evidence. Our central calibration reveals that accounting for relative prices is equivalent to decreasing pure time preference by 0.6 percentage points and leads to a more than 50 percent higher social cost of carbon. (JEL D61, H43, Q51, Q54, Q58)

MICROECONOMICS OF ARCHITECTURE: BETWEEN MARKET AND PUBLIC

The position of architecture between market goods and public goods is addressed in this study. A transition of architectural objects of built environment from market goods towards public or nonmarket goods is presented in literature review. The real estate market value is highly influenced by concepts of externalities and public goods, therefore being highly spatially dependent and making the process of the real estate valuation more complex. The internalization of these externalities and public goods is impossible because of the nature of public space in the city. The concept of value and different types of value, like exchange, use, image, social, environmental, cultural value, are also presented in literature review. These different types of value are transferred to value in exchange when estimating market value. The aim of research is to calculate the amount of the real estate market value that is influenced by externalities, public or nonmarket goods. The process of value transfers between market and public is also discussed in this study. In the research part prices of similar apartments measure the coefficient of variance. Newly constructed apartment buildings with partial finishing interior within city boundaries are selected expecting their price to vary only because of different amount of externalities and public goods available inside district/region of selected building or provided by the actual building itself. The results show that up to 29% of the real estate market value is influenced by public or nonmarket goods. Implications of further research suggest controlling for market segmentation and architectural quality variables

Building the Modern State in Developing Countries: Perceptions of Public Safety and (Un)willingness to Pay Taxes in Mexico

What is the relationship between taxation and public safety? Contrary to studies suggesting that personal victimization and heightened perceptions of insecurity increase pro-social attitudes and support for state intervention in the form of greater taxation, this article argues that such concerns decrease willingness to pay taxes to address public safety. It estimates what citizens are willing to pay to reduce crime, using an original representative survey conducted in Mexico and relying on the contingent valuation method to assess the value of nonmarket goods. Attitudes toward taxation are found to respond to subjective, sociotropic assessments of public safety rather than to actual risk or occurrences of individual victimization. These findings counter the conventional wisdom that demand for personal security enables greater extraction, a central proposition in classic accounts of state building. Showing that willingness to accept heavier taxation may be weakest among those who perceive the gravest need for security, the study adds precision to theories of fiscal exchange.

The Ecosystem Service Valuation and Federal Conservation Special Issue of ARER

Valuing the ecosystem services delivered by conservation and stewardship programs is of interest within USDA and across the federal government. Answering these types of questions requires accurate and scientifically sound measures of Ecosystem Service Values (ESVs). While there is a rich literature on valuation of nonmarket goods, it is often difficult to use for the ESVs provided by USDA and other federal agencies. To advance understanding of the use of ESVs in conservation programs, this special issue of ARER presents selected papers from a 2019 workshop entitled “Applications and Potential of Ecosystem Services Valuation within USDA – Advancing the Science.”

Happiness-Based Policy Analysis

Happiness data have an important role in policy. They can be used to monitor social progress over time in the same way that GDP figures are currently used. They can also be used in the subjective well-being valuation (SWV) approach to value nonmarket goods for the purposes of cost-benefit analysis, the primary policy evaluation tool in many governments. This chapter focuses on the latter of these two uses of happiness surveys, where a significant literature has grown over the last decade. It discusses the main problems associated with traditional valuation methods that rely on people’s preferences and the ways in which it has been suggested that SWV can overcome some of these difficulties. SWV also has its problems, and the chapter discusses these, provides suggestions for how results from SWV should be interpreted, and highlights where solutions to the problems in the SWV method have been proposed in the literature.

Environmental tipping points significantly affect the cost−benefit assessment of climate policies

Most current cost−benefit analyses of climate change policies suggest an optimal global climate policy that is significantly less stringent than the level required to meet the internationally agreed 2 °C target. This is partly because the sum of estimated economic damage of climate change across various sectors, such as energy use and changes in agricultural production, results in only a small economic loss or even a small economic gain in the gross world product under predicted levels of climate change. However, those cost−benefit analyses rarely take account of environmental tipping points leading to abrupt and irreversible impacts on market and nonmarket goods and services, including those provided by the climate and by ecosystems. Here we show that including environmental tipping point impacts in a stochastic dynamic integrated assessment model profoundly alters cost−benefit assessment of global climate policy. The risk of a tipping point, even if it only has nonmarket impacts, could substantially increase the present optimal carbon tax. For example, a risk of only 5% loss in nonmarket goods that occurs with a 5% annual probability at 4 °C increase of the global surface temperature causes an immediate two-thirds increase in optimal carbon tax. If the tipping point also has a 5% impact on market goods, the optimal carbon tax increases by more than a factor of 3. Hence existing cost−benefit assessments of global climate policy may be significantly underestimating the needs for controlling climate change.

WHY ARE MARRIED WOMEN WORKING SO MUCH?

We study the large observed changes in labor supply by married women in the United States over the post-World War II period, a period that saw little change in the labor supply by single women. We investigate the effects of changes in the gender wage gap, the quantitative impact of technological improvements in the production of nonmarket goods, and the potential inferiority of nonmarket goods in explaining the dramatic change in labor supply. We find that small decreases in the gender wage gap can simultaneously explain the significant increases in the average hours worked by married women and the relative constancy in the hours worked by single women and by single and married men. We also find that the impact of technological improvements in the household on married female hours and on the relative wage of females to males is too small for realistic values. Some specifications of the inferiority of home goods match the hours patterns, but they have counterfactual predictions for wages and expenditure patterns.