Exit Exams and High School Dropout

In this paper, I consider the impact of the expansion of exams students must pass in order to graduate high school on dropout rates. "Exit exams," as these tests are known, have become more common, and more difficult. These exams are controversial, with opponents claiming they drive marginal students out of school, and proponents arguing they align student interests with those of the school and encourage teachers and administrators to provide effort and resources on the students' behalf. I make use of the fact that when states implement exit exams, they first affect a specific graduating class. So in some states, some students in high school are required to pass these exams, while students in the grade above are not. Using a state-grade panel constructed from the Common Core of Data I find evidence that the recent expansion of exit exams has resulted in a modest increase in high school dropout rates in the aggregate, but a large increase among students in 12th grade, where additional attempts to pass exams are not possible. I also find that a policy often used to limit the impacts of exit exams on high school completion has only limited effect: Dropout rates in states where students can earn a diploma or credential even when unable to pass exit exams, dropout increases in 12th grade at about the same rate as in other states without such alternative pathways. This suggests that at least some of the impact is due to stop-out on the part of students.high school dropout, exit exams, accountability, attainment

Anti-depressants and Suicide

Does drug treatment for depression with selective serotonin reuptake inhibitors (SSRIs) increase or decrease the risk of completed suicide? The question is important in part because of recent government warnings that question the safety of SSRIs, one of the most widely prescribed medications in the world. While there are plausible clinical and behavioral arguments that SSRIs could have either positive or negative effects on suicide, randomized clinical trials have not been very informative because of small samples and other problems. In this paper we use data from 26 countries for up to 25 years to estimate the effect of SSRI sales on suicide mortality using just the variation in SSRI sales that can be explained by cross-country variation in the growth of drug sales more generally. We find that an increase in SSRI sales of 1 pill per capita (about a 12 percent increase over 2000 sales levels) is associated with a decline in suicide mortality of around 5 percent. These estimates imply a cost per statistical life far below most other government interventions to improve health outcomes.

Security for Secondary Research-Data

The required security for secondary research-data depends on their sensitivity and identifiableness. Research-data with more sensitive information and greater potential identifiableness require extra security precautions. Each level adds another restriction layer. The levels are (0) Public-use (0.5) Private-use (1) Restricted-use 1 (2) Restricted-use 2 and (3) Restricted-use 3. Responsibility to protect respondent identities and their information At level 0, public-use data do not require security. At level 0.5, private-use data require encryption and approval. At level 1, data must be encrypted at rest and in transmission. An additional security requirements is blocked Internet. The rooms that house the client and server must be lockable. Data sent to researcher. At level 2, in addition to level 1 protections, nothing including output, data and data extracts can be removed from the computing system until vetted for disclosure risk by trained and authorized personnel. Furthermore, files cannot be added without security review. Researcher comes to data virtually. At level 3, in addition to level 2 protections, processing must be monitored by trained personnel. Notes may not be taken. Moreover, all items such as backpacks and briefcases must be inspected for disallowed materials after a processing session ends. Researcher comes to data in person. This table summarizes the restrictionshttps://deepblue.lib.umich.edu/bitstream/2027.42/155620/1/Secondary Research-Data Security Levels.pdfDescription of Secondary Research-Data Security Levels.pdf : Table of security levels for Secondary Research Dat

Alien Registration- Marcotte, Paul E. (Lewiston, Androscoggin County)

https://digitalmaine.com/alien_docs/28988/thumbnail.jp

Alien Registration- Marcotte, Paul E. (Lewiston, Androscoggin County)

https://digitalmaine.com/alien_docs/28988/thumbnail.jp

Estimating Earnings Losses Due to Mental Illness: A Quantile Regression Approach

In this paper, we examine the effects of mental illness on earnings by recognizing that effects may vary across the distribution of earnings. Using data from the National Comorbidity Survey, we employ a quantile regression estimator to identify the effects at key points in the earnings distribution. We find that earnings effects vary importantly across the distribution. While average effects are often not large, mental illness more commonly imposes earnings losses at the lower tail of the earnings distribution, especially for women. Consequently, mental illness can have larger negative impacts on economic outcomes than previously estimated, even if those effects are not uniform.This research was supported by the National Institute of Mental Health (R01-MH56463-01)

The Effects of Parents' Psychiatric Disorders on Children's High School Dropout

Mental illness is known to impose substantial direct costs on the ill. In this paper, we examine an indirect cost of mental illness. We investigate the effect of parents’ mental illnesses on the schooling of their children. Using data from the National Comorbidity Survey, we find that parents’ mental illnesses increase the probability of high school dropout of children, though these effects differ markedly with disease. We also find that parental mental illness has more consistently negative effects on girls than on boys. These findings indicate that parental mental illness can have a powerful impact on children’s schooling and subsequently on their adult lives. The larger impact on girls’ schooling compounds the greater earnings and employment losses due to mental illness borne by adult women. Our results suggest that policies designed to mitigate the effects of parental mental illness on children’s schooling attainment are potentially efficient uses of society’s resources

Prevalence and Patterns of Major Depressive Disorder in the United States Labor Force

Background and Aims of the Study: In this paper, we identify the 12-month and lifetime prevalence of major depressive disorder in and out of the labor force, and among the employed and unemployed. We examine whether prevalence by labor force and employment status varies by gender and over the life cycle. Finally, we examine whether people can ‘recover’ from depression with time by identifying patterns of labor force participation and employment as time since most recent episode passes. Methods: We examine data collected as part of the National Comorbidity Survey, a survey representative of the population of the United States designed to identify the prevalence of major mental illnesses. The National Comorbidity Study identified cases of major depression via the Composite International Diagnostic Interview. Using these data, we estimate univariate and bivariate frequency distributions of major depressive disorder. We also estimate a set of multivariate models to identify the effect of a variety of dimensions of major depression on the propensity to participate in the labor force, and be employed if participating. Results: Lifetime and 12-month prevalence rates of depression are similar in and out of the labor force. Within the labor force, however, depression is strongly associated with unemployment. The negative relationship between depressive disorder and employment is particularly strong for middle age workers. Depression and the number of depressive episodes have a differing pattern of effects on labor market outcomes for men and women. We find evidence that labor force participation and employment rates for people with a history of depression increase significantly over time in the absence of additional depressive episodes. Discussion: Labor market status represents an important dimension along which prevalence of major depression varies. The relationship between depression and employment status is particularly strong for middle aged persons, but becomes weaker as time passes since the last depressive episode. Continued exploration of the association between work (or lack of work) and depression may ultimately help in the prediction, treatment and assessment of the illness. Implications for Practice and Policy: These results present a basic set of facts about the relationship between major depressive disorder and labor market outcomes. We have not, however, attempted to sort out the complexities of this relationship here. These complexities arise at almost every turn. For instance, the high level of prevalence of depression among the unemployed may be due to the possibility that the stresses associated with unemployment trigger depressive episodes or to the possibility that workers who are depressed are more likely to be fired or quit. Implications for Further Research: Our continuing research attempts to address these problems. Understanding when and how depression affects labor market outcomes and when and how labor market outcomes affect depression is an important endeavor for those interested in treating the disease and understanding its consequences.Funded by National Institute of Mental Health. Grant Number: R01-MH56463-0

Modulation of en-route charges to redistribute traffic in the European airspace

Peak-load pricing (PLP), a two-tariffs charging scheme commonly used in public transport and utilities, is tested on the European Air Traffic Management (ATM) system as a means for reducing capacity-demand imbalances. In particular, a centralised approach to PLP (CPLP) where a Central Planner (CP) sets en-route charges on the network is presented. CPLP consists of two phases: in the first, congested airspace sectors and their peak and off-peak hours are identified; in the second, CP assesses and sets en-route charges in order to reduce overall shift on the network. Such charges should guarantee that Air Navigation Service Providers (ANSPs) are able to recover their operational costs while inducing the Airspace Users (AUs) to route their flights in a way that respects airspace capacity. The interaction between CP and AUs is modelled as a Stackelberg game and formulated by means of bilevel linear programming. Two heuristic approaches, based on Coordinate-wise Descent and Genetic Algorithms are implemented to solve the CPLP model on a data set obtained from historical data for an entire day of traffic on European airspace. Results show that significant improvements in traffic distribution in terms of shift and sector load can be achieved through this simple en-route charges modulation scheme