UNLABELLED: Policymakers use estimates of the Value of a Statistical Life (VSL) in performing regulatory reviews to assess the benefits and costs of policies that affect mortality. This paper empirically estimates an adjustment to conventional VSL measures to account for altruistic sentiments and concludes that conventional VSL measures are underestimated by a factor of two to three, suggesting we are greatly undervaluing life in regulatory reviews. This conclusion is attained by estimating the VSL multiplier suggested by Jones-Lee (Econ J 102(410):80-90, 1992), which hinges on assessing whether individuals are more health altruistic than wealth altruistic. The estimated VSL multiplier is greatest for policies that affect childrens mortality, as health altruism is dominant regarding children. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11205-021-02784-7.

This study evaluates the extent to which an individuals stated altruistic sentiments can be influenced by context-most importantly, by the age and social proximity of the other person and by the nature of what is being sacrificed. We measure willingness to sacrifice own health for another persons health and willingness to sacrifice own wealth for another persons wealth. To evaluate these sentiments, two surveys were administered to representative samples of Americans which contained hypothetical scenarios with context randomly assigned; the first survey posed a dictator game question and the second survey was designed to elicit marginal rates of substitution between own and others health/wealth. As expected, we find less altruism towards those who are more socially distant (e.g., strangers relative to family). We find individuals are more health altruistic towards young children and more wealth altruistic towards adults, and health altruism tends to be lowest for survey respondents near retirement age. We find no relationship between levels of altruism and the distance between the respondents state of birth and state of current residence. These findings improve societys understanding of situational altruism and kinship and reciprocity as motivations for altruism, and they have practical implications concerning the economic valuation of human lives used to guide public policy-making.

Abstract: Following Efron (2014), we propose an algorithm for estimating treatment effects for use by researchers employing a regression-discontinuity (RD) design. This algorithm generates a set of estimates of the treatment effect from bootstrapped samples, wherein the polynomial-selection algorithm developed by Pei, Lee, Card, and Weber (2021) is applied to each sample, the average of these RD treatment effect (RDTE) estimates is computed and serves as the overall estimate of the RDTE. Effectively, this procedure estimates a set of plausible RD estimates and weights the estimates by their likelihood of being the best estimate to form a weighted-average estimate. We discuss why this procedure may lower the estimate’s root mean squared error (RMSE). In simulation results, we show that this better performance is achieved, yielding up to a 5% reduction in RMSE relative to PLCW’s method and a 16% reduction in RMSE relative to Calonico, Cattaneo, and Titiunik’s (2014) method for bandwidth selection (with default settings).

The Advanced Placement (AP) program has undergone two major reforms in recent decades: the first aimed at increasing access and the second at increasing relevance. Both initiatives are partially designed to increase the number of high school students from low-income backgrounds who have access to college-level coursework. Yet critics argue that schools in less-resourced communities are unable to implement AP at the level expected by its founders. We offer the first model of the components inherent in a well-implemented AP science course and the first evaluation of AP implementation with a focus on public schools newly offering the inquiry-based version of AP Biology and Chemistry courses. We find that these frontier schools were able to implement most, but not all, of the key components of an AP science course.

In any month, administrative data collected by government agencies contain a fraction of the politys adults, namely those who have interacted with government agencies in that month. For researchers and policymakers who want to evaluate questions that require a spatial location of the whole population of adults at a given time (e.g. job-residence spatial mismatch, impacts of local policies), these fragmentary records are insufficient. Combining administrative data from several agencies in the State of Washington, United States (US), we impute residential histories by parameterizing the decay in maintenance of an observed address. This process yields an imputed population whose demography and geographic distribution matches well with survey estimates. This work uses driving licence, voter, social services, and birth records to append address locations to Unemployment Insurance data, a process that could be replicated with administrative records in other US states and countries with sporadic address data from various agencies.

Background: Many states and localities throughout the U.S. have adopted higher minimum wages. Higher labor costs among low-wage food system workers could result in higher food prices. Methods: Using a market basket of 106 foods, food prices were collected at affected chain supermarket stores in Seattle and same-chain unaffected stores in King County (n = 12 total, six per location). Prices were collected at 1 month pre- (March 2015) and 1-month post-policy enactment (May 2015), then again 1-year post-policy enactment (May 2016). Unpaired t-tests were used to detect price differences by location at fixed time while paired t-tests were used to detect price difference across time with fixed store chain. A multi-level, linear differences-in-differences model, was used to detect the changes in the average market basket item food prices over time across regions, overall and by food group. Results: There were no significant differences in overall market basket or item-level costs at one-month (-$0.01, SE = 0.05, p = 0.884) or one-year post-policy enactment (-$0.02, SE = 0.08, p = 0.772). No significant increases were observed by food group. Conclusions: There is no evidence of change in supermarket food prices by market basket or increase in prices by food group in response to the implementation of Seattles minimum wage ordinance.

Many cancers evade immune rejection by suppressing major histocompatibility class I (MHC-I) antigen processing and presentation (AgPP). Such cancers do not respond to immune checkpoint inhibitor therapies (ICIT) such as PD-1/PD-L1 [PD-(L)1] blockade. Certain chemotherapeutic drugs augment tumor control by PD-(L)1 inhibitors through potentiation of T-cell priming but whether and how chemotherapy enhances MHC-I-dependent cancer cell recognition by cytotoxic T cells (CTLs) is not entirely clear. We now show that the lysine acetyl transferases p300/CREB binding protein (CBP) control MHC-I AgPPM expression and neoantigen amounts in human cancers. Moreover, we found that two distinct DNA damaging drugs, the platinoid oxaliplatin and the topoisomerase inhibitor mitoxantrone, strongly up-regulate MHC-I AgPP in a manner dependent on activation of nuclear factor kappa B (NF-κB), p300/CBP, and other transcription factors, but independently of autocrine IFNγ signaling. Accordingly, NF-κB and p300 ablations prevent chemotherapy-induced MHC-I AgPP and abrogate rejection of low MHC-I-expressing tumors by reinvigorated CD8⁺ CTLs. Drugs like oxaliplatin and mitoxantrone may be used to overcome resistance to PD-(L)1 inhibitors in tumors that had "epigenetically down-regulated," but had not permanently lost MHC-I AgPP activity.