Spatial Heterogeneity in Hedonic Price Effects for Lake Water Quality.

This study uses Zillow's ZTRAX property transaction database to investigate variation in hedonic price effects of water clarity on single-family houses throughout the United States. We consider five spatial scales and estimate models using different sample selection criteria and model specifications. Our results indicate considerable spatial heterogeneity both within and across the four U.S. Census regions. However, we also find heterogeneity resulting from different types of investigator decisions, including sample selection and modelling choices. Thus, it is necessary to use practical knowledge to consider the limits of market areas and to investigate the robustness of estimation results to investigator choices. (JEL Q51).

COVID-19 and visitation to Central Park, New York City.

Central Park is an iconic feature of New York City, which was the first and one of the hardest hit cities in the United States by the Coronavirus. State-level stay-at-home order, raising COVID-19 cases, as well as the public's personal concerns regarding exposure to the virus, led to a significant reduction of Central Park visitation. We utilized extensive cellphone tracking data to conduct one of the pioneering empirical studies assessing the economic impact of COVID-19 on urban parks. We integrated the difference-in-difference (DID) design with the recreation-demand model. The DID design aids in identifying the causal impacts, controlling for unobservable factors that might confound the treatment effects of interest. Concurrently, the recreational demand model examines the driving factors of visitation changes and enables us to estimate the welfare changes experienced by New York City's residents. Our findings shine a light on the substantial, yet often overlooked, welfare loss triggered by the pandemic. The analysis indicates that the pandemic resulted in a 94% reduction in visitation, corresponding to an annual consumer surplus loss of $450 million. We noted a rebound in visitation following the initial outbreak, influenced by shifts in government policy, weather conditions, holiday periods, and personal characteristics.

Valuing water quality in the United States using a national dataset on property values.

High-quality water resources provide a wide range of benefits, but the value of water quality is often not fully represented in environmental policy decisions, due in large part to an absence of water quality valuation estimates at large, policy relevant scales. Using data on property values with nationwide coverage across the contiguous United States, we estimate the benefits of lake water quality as measured through capitalization in housing markets. We find compelling evidence that homeowners place a premium on improved water quality. This premium is largest for lakefront property and decays with distance from the waterbody. In aggregate, we estimate that 10% improvement of water quality for the contiguous United States has a value of $6 to 9 billion to property owners. This study provides credible evidence for policymakers to incorporate lake water quality value estimates in environmental decision-making.

Examining Ways to Improve Weight Control Programs' Population Reach and Representativeness: A Discrete Choice Experiment of Financial Incentives.

BACKGROUND: Both theoretical and empirical evidence supports the potential of modest financial incentives to increase the reach of evidence-based weight control programs. However, few studies exist that examine the best incentive design for achieving the highest reach and representativeness at the lowest cost and whether or not incentive designs may be valued differentially by subgroups that experience obesity-related health disparities. METHODS: A discrete choice experiment was conducted (n = 1232 participants; over 90% of them were overweight/obese) to collect stated preference towards different financial incentive attributes, including reward amount, program location, reward contingency, and payment form and frequency. Mixed logit and conditional logit models were used to determine overall and subgroup preference ranking of attributes. Using the National Health and Nutrition Examination Survey data sample weights and the estimated models, we predicted US nationally representative participation rates by subgroups and examined the effect of offering more than one incentive design. External validity was checked by using a completed cluster randomized control trial. RESULTS: There were significant subgroup differences in preference toward incentive attributes. There was also a sizable negative response to larger incentive amounts among African Americans, suggesting that higher amounts would reduce participation from this population. We also find that offering participants a menu of incentive designs to choose from would increase reach more than offering higher reward amounts. CONCLUSIONS: We confirmed the existence of preference heterogeneity and the importance of subgroup-targeted incentive designs in any evidence-based weight control program to maximize population reach and reduce health disparities.

Scaling participation in payments for ecosystem services programs.

Payments for ecosystem services programs have become common tools but most have failed to achieve wide-ranging conservation outcomes. The capacity for scale and impact increases when PES programs are designed through the lens of the potential participants, yet this has received little attention in research or practice. Our work with small-scale marine fisheries integrates the social science of PES programs and provides a framework for designing programs that focus a priori on scaling. In addition to payments, desirable non-monetary program attributes and ecological feedbacks attract a wider range of potential participants into PES programs, including those who have more negative attitudes and lower trust. Designing programs that draw individuals into participating in PES programs is likely the most strategic path to reaching scale. Research should engage in new models of participatory research to understand these dynamics and to design programs that explicitly integrate a broad range of needs, values, and modes of implementation.

Adolescent and Young Adult Cancer Survivors' Valuation of Post-Treatment Recommended Care.

PURPOSE: Examine whether survivors of adolescent and young adult (AYA) cancer value recommended post-treatment care using focus groups and a willingness to pay (WTP) survey. WTP, a measure of value, indicates the dollar amount individuals are willing to pay to use a service. METHODS: Participants were recruited through the Utah Cancer Registry. N = 28 survivors diagnosed with cancer at ages 15-39 and currently aged ≥18 participated in focus groups, and N = 4 in phone interviews (participation rate = 50%). All participants responded to a demographic survey and WTP questions based on one-time and monthly payments for annual visits. Focus group participants responded to an open-ended question on the value of follow-up care. Interval regressions identified factors associated with WTP. Qualitative analysis summarized themes for the open-ended question. RESULTS: Focus group participants reported valuing follow-up care as it brings peace of mind and helps them manage their health. Yet, 38% reported not having a cancer-related visit in the previous year. Only 27% and 43% of survivors agreed to pay any one-time and monthly payments, respectively. The monthly payment mean WTP was $41 (95% confidence interval [CI]: 31-84), equating to $494 annually, which is greater than the mean WTP for one-time payment ($362, 95% CI: 293-432, p < 0.001), suggesting that survivors may prefer monthly payments. Several factors, including being female and in better health, predicted higher WTP. CONCLUSION: Many AYA cancer survivors report not visiting their doctors annually for post-treatment care despite verbally valuing care. Models that demonstrate high quality and distribute costs over time should be evaluated to encourage survivors to receive recommended care.

Valuing shifts in the distribution of visibility in national parks and wilderness areas in the United States.

Environmental regulations often have the objective of eliminating the lower tail of an index of environmental quality. That part of the distribution of environmental quality moves somewhere above a threshold and where in the original distribution it moves is a function of the control strategy chosen. This paper provides an approach for estimating the economic benefits of different distributional changes as the worst environmental conditions are removed. The proposed approach is illustrated by examining shifts in visibility at Class I visibility areas (National Parks and wilderness areas) that would occur with implementation of the U.S. Environmental Protection Agency's Regional Haze Program. In this application we show that people value shifts in the distribution of visibility and place a higher value on the removal of a low visibility day than on the addition of a high visibility day. We found that respondents would pay about $120 per year in the Southeast U.S. and about $80 per year in the Southwest U.S. for improvement programs that remove the 20% worst visibility days.

Parental decisions, child health and valuation of avoiding arsenic in drinking water in rural Bangladesh.

Arsenic contamination of groundwater in Bangladesh is a widespread public health hazard. Water sources without high arsenic levels are scarce, affecting people's availability for work and other activities when they have to seek safe water to drink. While children are particularly susceptible to chronic arsenic exposure, limited information and heavy constraints on resources may preclude people in developing countries from taking protective actions. Since parents are primary decision-makers for children, a model of stochastic decision-making analytically linking parent health and child health is used to frame the valuation of avoiding arsenic exposure using an averting behavior model. The results show that safe drinking water programs do work and that people do take protective actions. The results can help guide public health mitigation policies, and examine whether factors such as child health and time required for remediation have an effect on mitigation measures.

Arsenic in drinking water in bangladesh: factors affecting child health.

The focus of this paper is to present an empirical model of factors affecting child health by observing actions households take to avoid exposure to arsenic in drinking water. Millions of Bangladeshis face multiple health hazards from high levels of arsenic in drinking water. Safe water sources are either expensive or difficult to access, affecting people's individuals' time available for work and ultimately affecting the health of household members. Since children are particularly susceptible and live with parents who are primary decision makers for sustenance, parental actions linking child health outcomes is used in the empirical model. Empirical results suggest that child health is significantly affected by the age and gender of the household water procurer. Adults with a high degree of concern for children's health risk from arsenic contamination, and who actively mitigate their arsenic contaminated water have a positive effect on child health.

Chemoenzymatic synthesis of bifunctional polyubiquitin substrates for monitoring ubiquitin chain remodeling.

Covalent attachment of ubiquitin to target proteins is one of the most pervasive post-translational modifications in eukaryotes. Target proteins are often modified with polymeric ubiquitin chains of defined lengths and linkages that may further undergo dynamic changes in composition in response to cellular signals. Biochemical characterization of the enzymes responsible for building and destroying ubiquitin chains is often thwarted by the lack of methods for preparation of the appropriate substrates containing probes for biochemical or biophysical studies. We have discovered that a yeast ubiquitin C-terminal hydrolase (Yuh1) also catalyzes transamidation reactions that can be exploited to prepare site-specifically modified polyubiquitin chains produced by thiol-ene chemistry. We have used this chemoenzymatic approach to prepare dual-functionalized ubiquitin chains containing fluorophore and biotin modifications. These dual-functionalized ubiquitin chains enabled the first real-time assay of ubiquitin chain disassembly by a human deubiquitinase (DUB) enzyme by single molecule fluorescence microscopy. In summary, this work provides a powerful new tool for elucidating the mechanisms of DUBs and other ubiquitin processing enzymes.

Awake at the switch: improving fish consumption advisories for at-risk women.

Eating fish provides health benefits; however, nearly all fish contain at least some methylmercury which can impair human health. While government agencies have been issuing fish consumption advisories for 40 years, recent evaluation efforts highlight their poor performance. The benefit of an advisory can be measured by its ability to inform consumers as to both the positive and negative attributes of their potential choices, leading to appropriate changes in behavior. Because of the health benefits, fish advisories should not reduce fish consumption, even among at-risk individuals, but should lead consumers to switch away from highly contaminated fish toward those less contaminated. Although studies document how advisories reduce fish consumption (a negative outcome), no study indicates whether they lead to switching behavior (a positive outcome). We explore the effects of Maine Center of Disease Control and Prevention's advisory aimed at informing women who may become pregnant, nursing mothers and pregnant women about the benefits and risks of fish consumption. We examine how the advisory changes consumption, especially related to switching behavior. We demonstrate such changes in behavior both during and after pregnancy and compare the advisory-induced changes with those induced by other information sources. Although we find the advisory reduced some women's consumption of fish, we find the decrease is short-lived. Most importantly, the advisory induced appropriate switching behavior; women reading the advisory decreased their consumption of high-risk fish and increased their consumption of low-risk fish. We conclude a well-designed advisory can successfully transform a complex risk/benefit message into one that leads to appropriate knowledge and behavioral changes.

Benign gynecologic conditions.

Benign gynecologic conditions constitute the majority of the general gynecologist's practice. Along with health maintenance examinations, contraceptive management, family planning issues, and concerns about incontinence, the gynecologic conditions for which patients commonly present include adnexal masses, leiomyomata, endometriosis, and pelvic inflammatory disease. This article addresses each of these last four entities and incorporates a discussion of their etiologies, clinical presentations, keys to diagnosis, and the various treatment options available.

Heterogeneity in preferences for smoking cessation.

Promoting cessation is a cornerstone of tobacco control efforts by public-health agencies. Economic information to support cessation programs has generally emphasized cost-effectiveness or the impact of cigarette pricing and smoking restrictions on quit rates. In contrast, this study provides empirical estimates of smoker preferences for increased efficacy and other attributes of smoking cessation therapies (SCTs). Choice data were collected through a national survey of Canadian smokers. We find systematic preference heterogeneity for therapy types and SCT attributes between light and heavy smokers, as well as random heterogeneity using random parameters logit models. Preference heterogeneity is greatest between length of use and types of SCTs. We estimate that light smokers would be willing to pay nearly $500 ($CAN) to increase success rates to 40% with the comparable figure for heavy smokers being near $300 ($CAN). Results from this study can be used to inform research and development for smoking cessation products and programs and suggest important areas of future inquiry regarding heterogeneity of smoker preferences and preferences for other health programs.

Knowledge of arsenic in drinking-water: risks and avoidance in Matlab, Bangladesh.

Widespread contamination of arsenic in Bangladesh has been jeopardizing the health of millions of people. Residents of Matlab, Bangladesh, are among the millions at risk. Using bivariate models in the analysis of survey data, knowledge of health risks and avoidance of arsenic exposure in response to widespread contamination of arsenic for residents of Matlab were estimated. The models examined individuals' knowledge of an arsenic problem in the household and knowledge of specific illnesses caused by arsenic exposure. The likelihood of avoiding exposure to arsenic contamination was further examined. Results of the estimation showed that individual's knowledge of arsenic problems in the household was gathered through awareness campaigns and by word of mouth and that knowledge of illnesses was predicated on education, health, presence of children, elderly and young women. Adoption of avoidance measures was not affected by exposure to arsenic-information sources, but level of education had a statistically significant positive effect on the decision to avoid arsenic exposure. Lack of convenience of safe drinking-water practices lead people to persist in drinking arsenic-contaminated water.