UNSW Business School Research Paper Series最新文献_第9页

The Impact of International and NESB Students on Measured Learning and Standards in Australian Higher Education 国际学生和本国学生对澳大利亚高等教育衡量学习和标准的影响

UNSW Business School Research Paper Series Pub Date : 2011-02-07 DOI: 10.2139/ssrn.1756829

Gigi Foster

{"title":"The Impact of International and NESB Students on Measured Learning and Standards in Australian Higher Education","authors":"Gigi Foster","doi":"10.2139/ssrn.1756829","DOIUrl":"https://doi.org/10.2139/ssrn.1756829","url":null,"abstract":"Do international students and/or students from non-English language speaking backgrounds (NESB students) perform worse than other students in Australian undergraduate classrooms? What happens to other students' marks when these students are added to classrooms? I provide new empirical evidence on these questions using very recent administrative panel data from the business faculties of two Australian Technology Network universities. Results show that both international students and NESB students perform significantly worse than other students, even controlling for selection into courses. Both effects are large and do not disappear after the first semester, but non-English speaking background predicts substantially more of a reduction in marks than international student status. Adding international NESB students to a tutorial leads to a reduction in the marks of English-speaking students in that tutorial, whereas the marks of all students benefit from the addition of domestic NESB students to tutorials.Finally, evidence of an upward buoying effect on marks is found from adding international NESB students to courses, which is likely due to the presence of grading on a curve at the course level, but this effect is only felt by international NESB students themselves. Logic suggests that this rise is unlikely to be due to a true learning effect, implying that on average, international NESB students' already low marks are inflated in courses with large fractions of such students.","PeriodicalId":23435,"journal":{"name":"UNSW Business School Research Paper Series","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2011-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80772853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 25

A Survey of Actuarial Graduates 精算毕业生调查

UNSW Business School Research Paper Series Pub Date : 2010-12-20 DOI: 10.2139/SSRN.1728611

Brian Chu, John R. Evans, David E. Morgan

引用次数: 3

Improving Longevity and Mortality Risk Models with Common Stochastic Long-Run Trends 改进寿命和死亡率风险模型与常见的随机长期趋势

UNSW Business School Research Paper Series Pub Date : 2010-11-17 DOI: 10.2139/ssrn.1702029

M. Sherris, Séverine Arnold (-Gaille)

{"title":"Improving Longevity and Mortality Risk Models with Common Stochastic Long-Run Trends","authors":"M. Sherris, Séverine Arnold (-Gaille)","doi":"10.2139/ssrn.1702029","DOIUrl":"https://doi.org/10.2139/ssrn.1702029","url":null,"abstract":"Modeling mortality and longevity risk presents challenges because of the impact of improvements at different ages and the existence of common trends. Modeling cause of death mortality rates is even more challenging since trends and age effects are more diverse. Despite this, successfully modeling these mortality rates is critical to assessing risk for insurers issuing longevity risk products including life annuities. Longevity trends are often forecasted using a Lee-Carter model. A common stochastic trend determines age-based improvements. Other approaches fit an age-based parametric model with a time series or vector autoregression for the parameters. Vector Error Correction Models (VECM), developed recently in econometrics, include common stochastic long-run trends. This paper uses a stochastic parameter VECM form of the Heligman-Pollard model for mortality rates, estimated using data for circulatory disease deaths in the United States over a period of 50 years. The model is then compared with a version of the Lee-Carter model and a stochastic parameter ARIMA Heligman-Pollard model. The VECM approach proves to be an improvement over the Lee-Carter and ARIMA models as it includes common stochastic long-run trends.","PeriodicalId":23435,"journal":{"name":"UNSW Business School Research Paper Series","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84331046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

Communication, Creativity and Critical Thinking in the Undergraduate Actuarial Studies Program 本科精算研究项目中的沟通、创造力和批判性思维

UNSW Business School Research Paper Series Pub Date : 2010-09-14 DOI: 10.2139/ssrn.1677175

Brian Chu

引用次数: 1

The Accrual Anomaly in Australia: A Closer Look at Trading Strategy Returns 澳大利亚的应计异常:对交易策略回报的进一步观察

UNSW Business School Research Paper Series Pub Date : 2010-06-22 DOI: 10.2139/ssrn.1635610

Stephen L Taylor, Leon Wong

引用次数: 1

Spatial Variability in Mortality and Socioeconomic Factors for Australian Mortality 澳大利亚死亡率的空间变异性和社会经济因素

UNSW Business School Research Paper Series Pub Date : 2010-04-23 DOI: 10.2139/ssrn.1594522

M. Sherris, A. Tang

{"title":"Spatial Variability in Mortality and Socioeconomic Factors for Australian Mortality","authors":"M. Sherris, A. Tang","doi":"10.2139/ssrn.1594522","DOIUrl":"https://doi.org/10.2139/ssrn.1594522","url":null,"abstract":"Mortality rates are known to vary by geographical location and to depend on socio-economic factors. Demographic, ethnic and socio-economic mortality factors vary by geographical location. Regions that are in closer proximity are expected to have similar mortality because of similar socio-economic factors and demographic characteristics. In this paper the spatial variability of Australian mortality is assessed using a spatial model along with explanatory risk factors including age, income, labour force participation and unemployment rate. Geo- graphical variation is based on statistical subdivisions, areas of similar social and economic backgrounds. Logistic regressions are estimated using an hierarchical Bayes model with Markov Chain Monte Carlo methods for mortality rates in 208 statistical subdivisions in Australia for census years 1996, 2001 and 2006. Spatial models explain mortality variation by geographical location better than non-spatial models when limited data is available for socio-economic factors. Explanatory factors, which also vary spatially, reduce the need for spatial models for mortality. The modeling has implications for pricing and risk management in life insurance companies. Geographical variation in risks can be quantied using spatial models especially if there is limited data for risk factors that gen- erate mortality heterogeneity. Employment and workforce participation, ethnic background as well as income are found to be signicant in explaining mortality variation by geographical location in Australia. Geographical location has been used recently in the UK based on postcode in pricing and risk management of mortality and longevity risk products. As demonstrated in this paper, spatial geodemographic models should be of signicant interest to insurers in assessing mortality risk.","PeriodicalId":23435,"journal":{"name":"UNSW Business School Research Paper Series","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85778727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

GST – Missed Opportunities GST -错失的机会

UNSW Business School Research Paper Series Pub Date : 2009-11-16 DOI: 10.2139/SSRN.1506864

D. Agrawal

引用次数: 0

Measuring a Boom and Bust: The Sydney Housing Market 2001-2006 衡量繁荣与萧条:2001-2006年悉尼房地产市场

UNSW Business School Research Paper Series Pub Date : 2009-06-24 DOI: 10.2139/ssrn.1425247

R. Hill, Daniel Melser, I. Syed

引用次数: 44

Engineering Trust - Reciprocity in the Production of Reputation Information 工程信任——信誉信息生产中的互惠

UNSW Business School Research Paper Series Pub Date : 2009-03-08 DOI: 10.2139/ssrn.1355583

Gary E. Bolton, B. Greiner, Axel Ockenfels

引用次数: 348

The Impacts of Guaranteed Minimum Death Benefit Options on the Profit Margins of Unit Linked Products 最低死亡保障期权对单位相连产品利润率的影响

UNSW Business School Research Paper Series Pub Date : 2008-12-17 DOI: 10.2139/ssrn.1317459

Changki Kim

引用次数: 1