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This study develops and estimates an econometric model of choice among residential communities. The econometric method employed is maximum-likelihood estimation of a multinomial logit. This makes it possible to examine the effects of local public services and other community attributes on the residential location decisions by families. The model was estimated for six subsamples differing by household size, income, and age of head of household. For most of the subsamples that were examined, the conclusion is that local public services and other community characteristics play only minor roles in determining the residential location choice. The major determinant of residential location is the quantity of housing services that the household can obtain in a community.

Few would dispute the notion that Mahatma K. Gandhi was one of the twentieth century's transformative political and spiritual leaders. Among his many notable contributions, Gandhi is rightly credited with pioneering Satyagraha, resistance to tyranny though mass civil disobedience, and vocalizing a transcendent message that helped the Indian National Congress acquire independence from the British in August 1947. Often forgotten or omitted by standard histories, however, are Gandhi's idealistic leanings that in fact compromised the universality of his appeal and confounded the ideological underpinnings of the Indian nation. His vision for India's future was highly unorthodox.

"Psychiatry for Neurologists helps to close the artificial gap separating neurology and psychiatry so that neurologists feel comfortable managing the psychiatric aspects of the neurological disorders they treat."--Jacket

Abstract. In the long run a positive relationship of police expenditurescrime is derived in models which explain criminal behavior In the short run, however, the statistical results point to the possible deterring effect of police expenditures. A theoretical model is constructed to explain the statistical difference of the short and long run effect of police outlays on crime. As police expenditures increase, crime level diminishes. As time elapses, criminals may adjust to the new level of police effort, improve their performance and at the same level of outlays, increase their criminal activities. This phenomenon could be termed "Criminals'Learning by Doing". It could explain why, over the long run, the level of crime is positively associated with police expenditures. The empirical analysis examines pooled cross sectional time series of 47 states over the period 1970 to 1980—a total of 517 cases.

The coronavirus disease 2019 pandemic has caused unprecedented disruptions to education in the United States, with a large proportion of schooling moving to online formats, which has the potential to exacerbate existing racial/ethnic and socioeconomic disparities in learning. The authors visualize access to online learning technologies using data from the Household Pulse Survey from the early fall 2020 school period (August 19 to October 26). The authors find that 10.1 percent of children participating in online learning nationally did not have adequate access to the Internet and a computer. Rates of inadequate access varied nearly 20-fold across the gradient of parental race/ethnicity and education, from 1.9 percent for children of Asian parents with graduate degrees to 35.5 percent among children of Black parents with less than a high school education. These findings indicate alarming gaps in potential learning among U.S. children. Renewed investments in equitable access to distance-learning resources will be necessary to prevent widening racial/ethnic and class learning disparities.

BackgroundIn 2015, Mexico implemented regulatory changes and an electronic system to improve access to prescription opioids. We aimed to investigate trends in opioid dispensing after the implementation of these changes and assess how opioid dispensing varied geographically and by socioeconomic status.MethodsIn this retrospective analysis of prescription medication surveillance data, we analysed dispensing data for group 1 medications (all opioids, including morphine, methadone, hydromorphone, oxycodone, tapentadol, fentanyl, sufentanil, and remifentanil) obtained from the Federal Commission for the Protection against Sanitary Risk database for 32 states and six large metropolitan areas in Mexico. We calculated crude annual opioid prescriptions per 10 000 people at the national, state, and municipal levels. Adapting methods from the report of the Lancet Commission on Palliative Care and Pain Relief, we calculated the need for palliative opioids by state, and then assessed the observed opioid dispensing rates as a percentage of expected need by geographical socioeconomic status. Within the six major metropolitan areas, we mapped the geocoded location of opioid prescriptions and assessed the association between opioid dispensing and socioeconomic status as well as the association between opioid dispensing and time to US border crossing for areas on the US-Mexico border.FindingsBetween June 25, 2015, and Oct 7, 2019, opioid dispensing rates increased by an average of 13% (95% CI 6·8-19·6) per quarter (3 months). The overall national opioid dispensing rate during the study period was 26·3 prescriptions per 10 000 inhabitants. States with a higher socioeconomic status had higher opioid dispensing rates than states with lower socioeconomic status (rate ratio [RR] 1·88, 95% CI 1·33-2·58, p=0·00016) after controlling for the estimated opioid requirement per state, the presence of methadone clinics, and the presence of tertiary hospitals and cancer centres. The same association between opioid dispensing and socioeconomic status was observed in the metropolitan areas, and in those metropolitan areas on the US-Mexico border a 20% decrease (RR 0·80, 95% CI 0·75-0·86) in opioid dispensation was observed per each SD increase (SD 17·1 min) in travel time to the border.InterpretationMeasures introduced by the Mexican federal Government to increase opioid access for patients with palliative care needs were only marginally successful in raising opioid prescription rates. Opioid access should be improved for patients with palliative care needs who live in geographical areas of lower socioeconomic status.FundingUS National Institutes of Health.

Forecasts and alternative scenarios of COVID-19 mortality have been critical inputs into a range of policies and decision-makers need information about predictive performance. We identified n=386 public COVID-19 forecasting models and included n=8 that were global in scope and provided public, date-versioned forecasts. For each, we examined the median absolute percent error (MAPE) compared to subsequently observed mortality trends, stratified by weeks of extrapolation, world region, and month of model estimation. Models were also assessed for ability to predict the timing of peak daily mortality. The MAPE among models released in July rose from 1.8% at one week of extrapolation to 24.6% at twelve weeks. The MAPE at six weeks were the highest in Sub-Saharan Africa (34.8%), and the lowest in high-income countries (6.3%). At the global level, several models had about 10% MAPE at six weeks, showing surprisingly good performance despite the complexities of modelling human behavioural responses and government interventions. The framework and publicly available codebase presented here ( https://github.com/pyliu47/covidcompare ) can be routinely used to compare predictions and evaluate predictive performance in an ongoing fashion.