Does Broad-Based Merit Aid Improve College Completion? Evidence from New Mexico's Lottery Scholarship

2020 ◽  
Vol 15 (1) ◽  
pp. 164-190 ◽  
Author(s):  
Christopher Erwin ◽  
Melissa Binder
Keyword(s):  
College Completion ◽  
Merit Aid ◽  
Grade Point ◽  
First Semester ◽  
Percentage Points ◽  
Lottery Scholarship ◽  
Negative Effect ◽  
Scholarship Program ◽  
The Difference ◽  
Completion Effect

We use the natural experiment of a state lottery scholarship to measure the effect of generous financial aid on graduation rates at New Mexico's flagship public university. During the study period, the scholarship program paid full tuition for eight semesters for any state resident earning a 2.5 grade point average in their first semester at any public two-year or four-year college. We find a significant positive completion effect of 10 percentage points (17.9 percent) for academically well-prepared students that is offset by a large negative effect of 11.6 percentage points (38.8 percent) for less-prepared students. We posit that the scholarship program, which effectively erased the difference in tuition at two- and four-year colleges, may have induced weaker students to take their chances on a more prestigious, yet riskier, academic path.

The Effects of Affirmative Action Programs: Evidence From the University of California at San Diego

2005 ◽  
Vol 27 (3) ◽  
pp. 263-289 ◽  
Author(s):  
Heather Rose
Keyword(s):  
Affirmative Action ◽  
Graduation Rates ◽  
San Diego ◽  
Academic Preparation ◽  
Grade Point Averages ◽  
University Of California ◽  
Grade Point ◽  
Percentage Points ◽  
The Difference ◽  
The University

Using administrative data from the University of California at San Diego, the author explicitly identifies and studies students admitted under affirmative action programs. On average, these students earned grade point averages (GPAs) 0.30 points lower than those of nonaffirmative students. The difference in graduation rates is larger, with 57% of affirmative action students graduating compared to 73% of their nonaffirmative action peers. When compared to students just above the regular admissions cutoff, the differences are smaller—the difference in graduation rates is only 8 percentage points, and the difference in GPAs is only 0.20 points. A student’s family, school, and neighborhood characteristics can explain a small part of these differences, but academic preparation explains most of the difference.

scholarly journals Perbandingan Algoritma C4.5 dan CART dalam Memprediksi Kategori Indeks Prestasi Mahasiswa

2018 ◽  
Vol 6 (2) ◽  
pp. 76-83
Author(s):  
Dea Alverina ◽  
Antonius Rachmat Chrismanto ◽  
R. Gunawan Santosa
Keyword(s):  
Information Technology ◽  
Grade Point Average ◽  
Data Availability ◽  
Training Data ◽  
Grade Point ◽  
First Semester ◽  
Testing Data ◽  
Accuracy Result ◽  
The Difference ◽  
Accuracy Of Prediction

This research compared the accuracy of prediction of Grade Point Average (GPA) of the first semester students using C4.5 and CART algorithms in Faculty of Information Technology (FTI), Universitas Kristen Duta Wacana (UKDW). This research also explored various parameters such as numeric attribute categorization, data balance, GPA categories number, and different attributes availability due to the difference of data availability between Achievement Admission (AA) and Regular Admission (RA). The training data used to create decision tree were FTI students, 2008-2015 batch, while the testing data were FTI students, 2016 batch. The accuracy of prediction was measured by using crosstab table. In AA, the accuracy of both algorithms can be achieved about 86.86%. Meanwhile, in RA the accuracy of C4.5 is about 61.54% and CART is about 63.16%. From these accuracy result, both algorithms are better to predict AA rather than RA.

Prediction of Grade Point Averages Using Cognitive and Noncognitive Predictor Variables

1973 ◽  
Vol 32 (1) ◽  
pp. 143-148 ◽  
Author(s):  
Cheryl L. Reed ◽  
John F. Feldhusen ◽  
Adrian P. Van Mondfrans
Keyword(s):  
Nursing Students ◽  
Associate Degree Nursing ◽  
Associate Degree ◽  
Practical Experience ◽  
Grade Point Averages ◽  
School Level ◽  
Validation Sample ◽  
Grade Point ◽  
First Semester ◽  
Noncognitive Variables

This study investigated the usefulness of a number of noncognitive variables in improving the prediction of students' first semester, second semester, and first-year grade point averages. Freshman nursing students entering five associate degree nursing schools between 1964 and 1967 ( N = 495) were used as the validation sample. The cross-validation sample included the 1968 ( N = 170) entrants. When added to a battery of established cognitive predictors, several noncognitive variables added a unique and significant increment to the prediction of grade point averages in associate degree nursing programs. These variables were: age in months of the student, year of entry into nursing school, level of previous education of the student, and the particular school attended. These results encourage future studies in search of new noncognitive variables to improve prediction. Measures of a student's past health and practical experience might be worthy of future study.

Effects of Diarrhea Associated with Specific Enteropathogens on the Growth of Children in Rural Bangladesh

PEDIATRICS ◽  
1984 ◽  
Vol 73 (6) ◽  
pp. 799-805 ◽  
Author(s):  
Robert E. Black ◽  
Kenneth H. Brown ◽  
Stan Becker
Keyword(s):  
Linear Growth ◽  
Protein Energy Malnutrition ◽  
Growth Control ◽  
Reference Population ◽  
Enterotoxigenic Escherichia Coli ◽  
E Coli ◽  
Rural Bangladesh ◽  
Protein Energy ◽  
Negative Effect ◽  
The Difference

Village-based surveillance data from longitudinal studies in rural Bangladesh have been used to evaluate the nutritional consequences of infectious diseases, including diarrhea due to specific pathogens. The prevalences of specific illnesses were related to the ponderal and linear growth of young children for 2-month and 1-year periods. Of the common illnesses, only diarrhea had a significant inverse relationship with increments of weight during 2-month periods and of length during 1 year. Diarrhea accounted for 20% of the difference in linear growth between the study children and the international reference population during the first 5 years of life. Diarrhea associated with enterotoxigenic Escherichia coli had a significant negative effect on the bimonthly weight gain of children in this community and shigellosis had the strongest negative effect on bimonthly and annual linear growth. Control of diarrhea due to enterotoxigenic E coli and Shigella would not only substantially diminish diarrheal morbidity but would also improve the growth of children and thereby reduce the prevalence of protein-energy malnutrition.

FC 068QUALITY OF LIFE OVER TIME IN OLDER MEN AND WOMEN WITH ADVANCED CKD - RESULTS FROM THE EQUAL STUDY

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Nicholas Chesnaye ◽  
Yvette Meuleman ◽  
Esther De Rooij ◽  
Friedo W Dekker ◽  
Marie Evans ◽  
...  
Keyword(s):  
Harmful Effect ◽  
Patient Characteristics ◽  
P Value ◽  
Joint Models ◽  
Cross Sectional ◽  
Linear Interaction ◽  
Men And Women ◽  
Negative Effect ◽  
The Difference ◽  
Over Time

Abstract Background and Aims Differences between the sexes are apparent in the epidemiology of CKD. Cross-sectional studies show that women consistently report a poorer health-related quality of life (QoL) than men, however, longitudinal studies are lacking. Here we investigate the sex-specific evolution of QoL over time in advanced CKD. As a secondary aim, we explore the sex-specific determinants of QoL. Method EQUAL is an observational prospective cohort study in stages 4 and 5 CKD patients ≥65 years not on dialysis with an incident estimated glomerular filtration rate (eGFR) < 20 ml/min/1.73m². Data on QoL (measured using the RAND-36), clinical and demographic patient characteristics were collected between April 2012 and September 2020. QoL trajectories were modelled by sex using linear mixed models, and joint models were applied to deal with informative censoring. We followed patients until death or dialysis initiation. Results We included 5151 QoL measurements in 1416 patients over a total of 1986 person years of follow-up. Overall, the physical component summary (PCS) declined with 2.0 (95% CI 1.4-2.6) points and the mental component summary (MCS) by 2.4 (95% CI 1.8-3.0) points per year. Although women had overall lower QoL scores, figure 1 demonstrates that PCS and MCS declined more than twice as fast in men (PCS: 2.4 per year, 95% CI 1.7 – 3.1, MCS: 2.9 per year, 95% CI 2.2 – 3.6) compared with women (PCS: 1.1 per year, 95% CI -0.2 – 2.0, MCS: 1.5 per year, 95% CI 0.5 – 2.4). We identified a non-linear interaction effect between sex and eGFR levels on QoL, demonstrating a stronger negative effect of decreased eGFR on both PCS (p=0.02) and MCS (p=0.04) in men compared with women. Subsequent adjustment for renal decline attenuated the difference in rate of QoL decline between men and women (difference after adjustment; PCS: 1.1, 95% CI -0.1 – 2.2, MCS: 1.2, 95% 0.0 – 2.3). In univariable analyses, higher serum haemoglobin was more beneficial to QoL in men compared to women (p-value for interaction; PCS: p=0.03, MCS: p=0.01). Higher serum phosphate had a strong harmful effect on both PCS and MCS in men, but not in women (PCS & MCS: p<0.001). The presence of pre-existing diabetes had a negative effect on PCS and MCS in men, but to a lesser extent in women (PCS: p=0.02, MCS: p=0.01). Conclusion Despite the higher overall QoL reported by men, both their physical and mental QoL declined approximately twice as fast compared with women. The faster decline in men was mediated in part by their lower levels of renal function, which had a stronger impact on their QoL as compared with women. Furthermore, in exploratory analyses we identified that high levels of phosphate, low levels of haemoglobin, and pre-existing diabetes were more detrimental to QoL in men than in women.

The impact of credit risk on the financial stability of commercial banks in Vietnam

2021 ◽  
Vol 11 (2) ◽  
pp. 67-80
Author(s):  
Nguyen Quoc Anh ◽  
Duong Nguyen Thanh Phuong
Keyword(s):  
Credit Risk ◽  
Commercial Banks ◽  
Financial Stability ◽  
Dynamic Panel Data ◽  
Z Score ◽  
Return On Equity ◽  
Score Analysis ◽  
Negative Effect ◽  
The Difference ◽  
The Impact

This study investigates the impact of credit risk on the financial stability of Vietnamese commercial banks. The paper uses the Z-score to proxy the financial stability of banks. We use the data of 27 Vietnamese commercial banks on BankScope, during 2010 - 2019. The paper applied a dynamic panel data approach; the selected method is the difference GMM (DGMM). The key question discussed is which factor impacts on Z-score. Analysis results show the negative effect of non-performing loans on the financial stability of banks. When commercial banks have higher non-performing loans, the lower the financial stability is. Additionally, bank-specific variables such as equity on asset ratio, the return on equity, the size of the bank and set of macroeconomic variables affect the bank’s financial stability. Based on the analysis results, we imply relevant policies for the State Bank of Vietnam and commercial banks.

scholarly journals Time versus State in Insurance: Experimental Evidence from Contract Farming in Kenya

2018 ◽  
Vol 108 (12) ◽  
pp. 3778-3813 ◽  
Author(s):  
Lorenzo Casaburi ◽  
Jack Willis
Keyword(s):  
Crop Insurance ◽  
Counterparty Risk ◽  
Harvest Time ◽  
Contract Farming ◽  
Present Bias ◽  
The Poor ◽  
Percentage Points ◽  
Randomized Control ◽  
The Difference

The gains from insurance arise from the transfer of income across states. Yet, by requiring that the premium be paid up front, standard insurance products also transfer income across time. We show that this intertemporal transfer can help explain low insurance demand, especially among the poor, and in a randomized control trial in Kenya we test a crop insurance product which removes it. The product is interlinked with a contract farming scheme: as with other inputs, the buyer of the crop offers the insurance and deducts the premium from farmer revenues at harvest time. The take-up rate for pay-at-harvest insurance is 72 percent, compared to 5 percent for the standard pay-up-front contract, and the difference is largest among poorer farmers. Additional experiments and outcomes provide evidence on the role of liquidity constraints, present bias, and counterparty risk, and find that enabling farmers to commit to pay the premium just 1 month later increases demand by 21 percentage points. (JEL G22, I32, O13, O16, Q12, Q14)

scholarly journals INTERVENSI KEBIJAKAN MONETER TERHADAP INVESTASI PORTOFOLIO: KASUS INDONESIA DAN AMERIKA SERIKAT

2020 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Nanda Alfarina ◽  
Hasdi Aimon
Keyword(s):  
United States ◽  
Interest Rate ◽  
Secondary Data ◽  
The United States ◽  
Portfolio Investment ◽  
Mechanism Analysis ◽  
Long Run ◽  
Negative Effect ◽  
The Difference ◽  
Effect Of Monetary Policy

This study aims to determine the effect of monetary policy measured by the central bank’s policy rate (X1) on portfolio investment (Y) in Indonesia and United States in the long run. The data used are secondary data seouced from SEKI BI, FRED The FEd, coinmarketcap.com, and investing.com, with the VECM (Vector Error Correction Mechanism) analysis methode. The study show The study shows the differences between the results that occur in Indonesia and the United States. The policy interest rate has a significant positive effect on portfolio investment in the long run in Indonesia, while in the United States the interest rate in the long run has a significant negative effect on portfolio investment. The difference in research results between the two countries shows the need for different treatment for monetary authorities in encouraging portfolio investment 

scholarly journals A Comparative Study of the Effect of Institutional Ownership, Audit Committee, and Gender on Audit Report Lag in Indonesia, Malaysia and Singapore

2018 ◽  
Vol 8 (2) ◽  
pp. 131
Author(s):  
Yulia Frischanita
Keyword(s):  
Audit Committee ◽  
Institutional Ownership ◽  
Mean Value ◽  
Audit Report ◽  
Mining Company ◽  
Purposive Sampling ◽  
Mining Companies ◽  
Negative Effect ◽  
The Difference ◽  
And Gender

The purpose of this research are to analyst the negative effect of institutional ownership, audit committee and gender to audit report lag of mining company in Indonesia, Malaysia and Singapore for 2012-2016. Gender is proxied by gender of CEO and gender of Committee Audit’s Head. Not only that, the research also analyst the difference mean value of audit report lag in Indonesia, Malaysia and Singapore. This research use random purposive sampling technique because the amount company gap after purposive sampling between three counties are high. Total of population of three countries are 67 companies and mining company which fulfill the criteria of purposive sampling is 43 companies. That are consist of 34 Indonesia’s mining companies, 3 Malaysia’s mining companies and 6 Singapore’s mining companies. The final sample is 13 companies consist of 5 Indonesia’s company, 5 Singapore’s company and 3 Malaysia’s Company. Multiple Linear Regression is used to examine the effect of independent variable to dependent variable, while One Way-Anova is used to examine the difference mean value of audit report lag. The result of this research are institutional ownership have negative effect to audit report lag, while audit committee and gender don’t have effect to audit report lag. Beside that, there is no difference mean value of audit report lag in Indonesia, Malaysia and Singapore because they have same regulation about maximal day of company to publish their financial report.

scholarly journals Evaluating the influence of anxiety and depression on academic performance in high school students

2021 ◽  
Author(s):  
Waleed Ahmed Shahzad
Keyword(s):  
High School ◽  
Academic Performance ◽  
High School Students ◽  
Anxiety And Depression ◽  
Small Scale ◽  
School Students ◽  
Cross Sectional ◽  
Grade Point ◽  
Negative Effect ◽  
The Mean

The purpose of this study was to evaluate whether anxiety and depression have a negative effect on academic performance. This small-scale study assessed the relationship between these factors. A cross-sectional questionnaire survey was carried out. A randomized sample of 52 high school students based in various schools across Lahore participated in the survey. Of the participants, 32 were males and 20 were females. As a measure of anxiety and depression 14 questions from the DASS-21 were utilized (The 7 questions pertaining to the measure of stress were not included in this study). Based on the DASS-21 score obtained by the respondents they were classified under categories of normal, mild, moderate, severe and extremely severe levels of anxiety and depression. As a measure of academic performance, the Grade Point Average (GPA) of the students was obtained via the survey. The mean average GPA was calculated for all the students falling under the aforementioned categories pertaining to anxiety and depression separately and these averages were compared. It was found that the mean average GPA was highest in students falling under the categories of normal and mild levels of anxiety and depression. Whereas, mean average GPA was lower in students suffering from severe levels of anxiety and depression. These findings suggest the need to come up with methods to combat anxiety and depression in high school students as these factors impede academic performance.

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