Subcategory Classifications in Tensor Triangulated Categories

It is known that the thick tensor-ideal subcategories in a tensor triangulated cate-gory can be classified via its prime ideal spectrum.We use this to provide new proofs of two well-known classifications theorems:that of the thick tensor-closed triangulated subcategories of the stable category ofmodules over a finite group algebra, and that of the thick triangulated subcategoriesof the derived category of perfect complexes over a commutative Noetherian ring

The Study of the Use of Advance Directives in Minnesota Nursing Homes as Perceived by Social Workers

This study sought to discover the use of advance directives as reported by nursing home social workers. The focus is on residents who are living in nursing homes and are sixty years old or older. One hundred social workers in Minnesota were randomly surveyed on the current rate of advance directive use, barriers to completing the forms, and perceptions from social workers about whether they have or not have adequate knowledge and education to teach about advance directives. A review of the literatiare on advance directives shows the average use is only 5-18% for the elderly population. Survey findings confirm that the average use of advance directives is similar to the general average for the elderly population. Common barriers include procrastination, fear of death and dying, dependence on family members to make decisions, and lack of knowledge of advanced directives. Many social workers perceive they have adequate training and education on advance directives, but are open to further information on state laws and medical terminology. Further implications for social work practice include continued research on advance directives. The research shows that even with new forms combining living will and health care power of attorney forms, there is a lack of understanding by the elderly population

Judicial subversion: The effects of political power on court outcomes

Are politicians in power treated more leniently in court? We show that Brazilian mayoral candidates charged with misconduct are 65 percent less likely to be convicted if they narrowly win the election. Politicians play no direct role in the judges’ careers, suggesting that formal independence does not completely insulate the judiciary from political influence. The effect is driven by districts with few judges and by judges with higher career instability.publishedVersio

2SLS with multiple treatments

We study what two-stage least squares (2SLS) identifies in models with multiple treatments under treatment effect heterogeneity. Two conditions are shown to be necessary and sufficient for the 2SLS to identify positively weighted sums of agent-specific effects of each treatment: average conditional monotonicity and no cross effects. Our identification analysis allows for any number of treatments, any number of continuous or discrete instruments, and the inclusion of covariates. We provide testable implications and present characterizations of choice behavior implied by our identification conditions.publishedVersio

Judicial subversion: The effects of political power on court outcomes

Are politicians in power treated more leniently in court? We show that Brazilian mayoral candidates charged with misconduct are 65 percent less likely to be convicted if they narrowly win the election. Politicians play no direct role in the judges’ careers, suggesting that formal independence does not completely insulate the judiciary from political influence. The effect is driven by districts with few judges and by judges with higher career instabilityinfo:eu-repo/semantics/publishedVersio

Feedback and Learning: The Causal Effects of Reversals on Judicial Decision-Making

Do judges respond to reversals of their decisions Using random assignment of cases across two stages of the criminal justice system in Norway and a novel dataset linking trial court decisions to reversals in appeals courts, we provide causal evidence on feedback effects in judicial decision-making. By exploiting differences in the tendencies of randomly assigned appeal panels to reverse trial court decisions, we show that trial court judges who receive a reversal of a sentence respond by updating the likelihood of imposing a prison sentence in the direction of the reversal in future cases. Consistent with a Bayesian learning model, we find that the responses are stronger for judges with weaker priors and for reversals corresponding to stronger signals. Our estimates, however, also indicate that judges overreact to reversals compared to Bayes’ rule.publishedVersio

2SLS with Multiple Treatments

We study what two-stage least squares (2SLS) identifies in models with multiple treatments under treatment effect heterogeneity. Two conditions are shown to be necessary and sufficient for the 2SLS to identify positively weighted sums of agent-specific effects of each treatment: average conditional monotonicity and no cross effects. Our identification analysis allows for any number of treatments, any number of continuous or discrete instruments, and the inclusion of covariates. We provide characterizations of choice behavior implied by our identification conditions and discuss how the conditions can be tested empirically

Norwegian teachers’ efforts in preparing students with mild intellectual disability for working life?

publishedVersio

Income poverty, affluence and polarisation viewed from the median

The present paper brings together different features of the distribution of income – poverty, affluence and dispersion – in a single framework that allows ready comparisons across countries. We believe that such a unified framework contributes both to the policy debate and to the theoretical understanding of inequality. There are at present largely separate literatures on the measurement of poverty, and (to a limited degree) affluence, and on bi-polariszation. In relation to the EU social indicators, the paper may be seen as providing complementary information

Factores que coadyuvaron al éxito del sector limonero de Tucumán : 1993 – 2016

El limón es un producto para la exportación, tanto en su etapa primaria (fruta fresca acondicionada y empacada) como en su fase industrial (elaboración de jugos concentrados, aceite esencial y cáscara deshidratada). En Argentina, Tucumán es reconocida por la producción de limón en cantidad y calidad; ya que actualmente, es la principal provincia productora a nivel mundial con 1.5 millones de toneladas anuales. El sector limonero de la provincia se afianzó y logró consolidarse en el contexto internacional como un jugador clave, tanto en exportación de fruta fresca, como de productos industrializados. A partir de esta circunstancia, es que surge como objetivo de la presente investigación conocer los factores institucionales, organizacionales, tecnológicos y comerciales, que coadyuvaron a que el complejo limonero tucumano, lograra y mantuviera el posicionamiento como principal región productora, tercer exportador de fruta fresca y primer exportador de productos industrializados en el escenario mundial. Para tal fin se realizó un AED y se determinaron las VCR. Los resultados se interpretaron y discutieron a partir del análisis de las instituciones y la teoría de los costos de transacción. Los resultados obtenidos demuestran que los contratos celebrados entre empresas del SAG con referentes de la industria de las gaseosas, impulsaron un crecimiento sostenido de la actividad a partir de la década de los 90. A su vez la elevada integración vertical en la cadena, la acción colectiva, la ausencia de proteccionismo estatal y, como se mencionaron, las ventajas comparativas permitieron el posicionamiento del sector en el contexto internacional