THIS PAPER SHOULD NOT BE OPENED UNTIL PERMISSION HAS BEEN GIVEN BY THE INVIGILATOR.

Size: px
Start display at page:

Download "THIS PAPER SHOULD NOT BE OPENED UNTIL PERMISSION HAS BEEN GIVEN BY THE INVIGILATOR."

Transcription

1 UNVERSTY OF SWAZLAND FACULTY OF SOCAL SCENCES DEPARTMENT OF STATSTCS AND DEMOGRAPHY MAN EXAMNATON 2016 TTTLE OF PAPER: DEMOGRAPHC METHODS 1 COURSE NUMBER: DEM 201 TME ALLOWED: 2 Hours NSTRUCTONS: ANSWER QUESTON 1 AND ANY 1WO QUESTONS FROM SECTON B. ALL QUESTONS ARE WORTH 25 MARKS EACH. REQUREMENT: CALCULATOR THS PAPER SHOULD NOT BE OPENED UNTL PERMSSON HAS BEEN GVEN BY THE NVGLATOR. Page

2 SECTON A: COMPULSORY Queston 1 a) Why s t necessary to standardze rates? Whch type of standardzaton do you prefer and why? (4) b) How s the standard populaton selected? (4) c) You are presented wth data of three countres n table 1 Table 1: Populaton sze for three hypothetcal populatons Country A Country B CountryC Md-year populaton by age group 0-4 years old years old years old Number of deaths, by age group 0-4 years old years old years old Usng data n table 1: 1. What are the crude death rates for each country? (3) Usng populaton A as the standard, calculate the drectly standardsed crude death rates for countres Band C. Do these standardsed rates tell you anythng about mortalty that was not vsble from the crude rates calculated n queston c? (7) 111. Usng populaton A as the standard, calculate the ndrectly standardsed crude death rate of country B (J) 21Page

3 SECTON B: ANSWER ANY TWO QUESTONS Queston 2 a) Show the equaton for calculatng the Sngulate Mean Age at Marrage (SMAM) and defne the component ofthe equaton. (6) b) Usng the data table 2 detennne the Sngulate Mean Age at Marrage (SMAM) and comment on your answer (7) Table 2: Proporton sngle among women n a hypothetcal country n 1998 Age group Proporton sngle c) Dfferentate between marrage and nuptalty (2) d) Name and Dfferentate between the two types of nuptalty tables (4) e) Dvorce and annulment (2) f) Descrbe any two measures of marrage and explan ther parameters (4) 31Page

4 Queston 3 Table 3: Data on Fertlty Age group nlx All women Chldren bom Female chldren Usng data provded n table 3 to answer the followng questons: a) Estmate the General fertlty rate and provde nterpretaton (4) b) Estmate the Total Fertlty rate and provde nterpretaton (4) c) Descrbe the meanng of the Total fertlty rate (2) d) Estmate the Gross Reproductve rate and provde nterpretaton (4) e) Estmate the net reproductve rate and provde nterpretaton (4) f) What s the dfference between net repreductve rate and gross reproductve rate? (3) g) Why s the age specfc fertlty rate a better measure of fertlty than Crude brth rate? (4) 41Page

5 Queston 4 Table 4: ncomplete lfe table of South Afrca males n 1996 x NMx nqx npx x ndx ""Lx Tx ex (v) (v) (v) , () () : () (v) Usng the data n table 4, answer the followng questons: a) Fll n the mssng cells () to (v) n table 4. State clearly the notaton used and fonnulae and brefly explan the meanng of each fgure you have calculated. (18) b) What s the probablty ofsurvval from brth to age 20? (2) c) Dstngush between an abrdged and a complete lfe table (2) d) Gve three (3) uses-of lfe tables (3) 51Page

6 Queston 5 a) What s a dfference between a rate and a rato? (2) b) What s a dfference between a cohort and a perod rate? (2) c) Brefly explan the ratonale for usng the md-year populaton as a denomnator for demographc rates and also wrte the formula. (2) d) 2500 women aged 55 were gven a health check, and 215 women were found to have hgh blood pressure. Two years later all 2500 women attended a second check and another 80 had developed hgh blood pressure. 1. What was the prevalence ofhgh blood pressure n women at age 55? (1). What was the prevalence ofhgh blood pressure n women at age 57? (1). What was the ncdence of hgh blood pressure n the two-year perod n these women? (3) e) Table 5: You are gven the followng brths and nfants deaths recorded n Sub-Saharan Afrca n Year Brths cohorts Brths Deaths nfant Deaths Usng data n table 5, answer the followng questons:. What s the conventonal nfant mortalty rate n year 1990? (3) 11. What s the adjusted nfant mortalty rate for 1990 usng the Cohort method? (6) ll. Do the rates above dffer? f so, why do they dffer and whch one would you prefer as a better ndcator ofnfant mortalty experence of ths populaton? (2) V. What s the ratonale behnd adjustng the nfant mortalty rate? (3) 61Page

Standardization. Stan Becker, PhD Bloomberg School of Public Health

Standardization. Stan Becker, PhD Bloomberg School of Public Health Ths work s lcensed under a Creatve Commons Attrbuton-NonCommercal-ShareAlke Lcense. Your use of ths materal consttutes acceptance of that lcense and the condtons of use of materals on ths ste. Copyrght

More information

Tests for Two Correlations

Tests for Two Correlations PASS Sample Sze Software Chapter 805 Tests for Two Correlatons Introducton The correlaton coeffcent (or correlaton), ρ, s a popular parameter for descrbng the strength of the assocaton between two varables.

More information

Notes are not permitted in this examination. Do not turn over until you are told to do so by the Invigilator.

Notes are not permitted in this examination. Do not turn over until you are told to do so by the Invigilator. UNIVERSITY OF EAST ANGLIA School of Economcs Man Seres PG Examnaton 2016-17 BANKING ECONOMETRICS ECO-7014A Tme allowed: 2 HOURS Answer ALL FOUR questons. Queston 1 carres a weght of 30%; queston 2 carres

More information

Measures of Spread IQR and Deviation. For exam X, calculate the mean, median and mode. For exam Y, calculate the mean, median and mode.

Measures of Spread IQR and Deviation. For exam X, calculate the mean, median and mode. For exam Y, calculate the mean, median and mode. Part 4 Measures of Spread IQR and Devaton In Part we learned how the three measures of center offer dfferent ways of provdng us wth a sngle representatve value for a data set. However, consder the followng

More information

International ejournals

International ejournals Avalable onlne at www.nternatonalejournals.com ISSN 0976 1411 Internatonal ejournals Internatonal ejournal of Mathematcs and Engneerng 7 (010) 86-95 MODELING AND PREDICTING URBAN MALE POPULATION OF BANGLADESH:

More information

Spatial Variations in Covariates on Marriage and Marital Fertility: Geographically Weighted Regression Analyses in Japan

Spatial Variations in Covariates on Marriage and Marital Fertility: Geographically Weighted Regression Analyses in Japan Spatal Varatons n Covarates on Marrage and Martal Fertlty: Geographcally Weghted Regresson Analyses n Japan Kenj Kamata (Natonal Insttute of Populaton and Socal Securty Research) Abstract (134) To understand

More information

Physics 4A. Error Analysis or Experimental Uncertainty. Error

Physics 4A. Error Analysis or Experimental Uncertainty. Error Physcs 4A Error Analyss or Expermental Uncertanty Slde Slde 2 Slde 3 Slde 4 Slde 5 Slde 6 Slde 7 Slde 8 Slde 9 Slde 0 Slde Slde 2 Slde 3 Slde 4 Slde 5 Slde 6 Slde 7 Slde 8 Slde 9 Slde 20 Slde 2 Error n

More information

Xiaoli Lu VA Cooperative Studies Program, Perry Point, MD

Xiaoli Lu VA Cooperative Studies Program, Perry Point, MD A SAS Program to Construct Smultaneous Confdence Intervals for Relatve Rsk Xaol Lu VA Cooperatve Studes Program, Perry Pont, MD ABSTRACT Assessng adverse effects s crtcal n any clncal tral or nterventonal

More information

Survey of Math Test #3 Practice Questions Page 1 of 5

Survey of Math Test #3 Practice Questions Page 1 of 5 Test #3 Practce Questons Page 1 of 5 You wll be able to use a calculator, and wll have to use one to answer some questons. Informaton Provded on Test: Smple Interest: Compound Interest: Deprecaton: A =

More information

EXAMINATIONS OF THE HONG KONG STATISTICAL SOCIETY

EXAMINATIONS OF THE HONG KONG STATISTICAL SOCIETY EXAMINATIONS OF THE HONG KONG STATISTICAL SOCIETY HIGHER CERTIFICATE IN STATISTICS, 2013 MODULE 7 : Tme seres and ndex numbers Tme allowed: One and a half hours Canddates should answer THREE questons.

More information

Random Variables. 8.1 What is a Random Variable? Announcements: Chapter 8

Random Variables. 8.1 What is a Random Variable? Announcements: Chapter 8 Announcements: Quz starts after class today, ends Monday Last chance to take probablty survey ends Sunday mornng. Next few lectures: Today, Sectons 8.1 to 8. Monday, Secton 7.7 and extra materal Wed, Secton

More information

Linear Combinations of Random Variables and Sampling (100 points)

Linear Combinations of Random Variables and Sampling (100 points) Economcs 30330: Statstcs for Economcs Problem Set 6 Unversty of Notre Dame Instructor: Julo Garín Sprng 2012 Lnear Combnatons of Random Varables and Samplng 100 ponts 1. Four-part problem. Go get some

More information

Trivial lump sum R5.1

Trivial lump sum R5.1 Trval lump sum R5.1 Optons form Once you have flled n ths form, please return t wth the documents we have requested. You can ether post or emal the form and the documents to us. Premer PO Box 108 BLYTH

More information

Labor Market Transitions in Peru

Labor Market Transitions in Peru Labor Market Transtons n Peru Javer Herrera* Davd Rosas Shady** *IRD and INEI, E-mal: jherrera@ne.gob.pe ** IADB, E-mal: davdro@adb.org The Issue U s one of the major ssues n Peru However: - The U rate

More information

-~~?.~~.!.i.':':'.~.~-~-~~~~':':'.~~~.::.~~~~~~~--~-~-~~.::."!}.~!.~.. ~.~~-~...

-~~?.~~.!.i.':':'.~.~-~-~~~~':':'.~~~.::.~~~~~~~--~-~-~~.::.!}.~!.~.. ~.~~-~... -~~?.~~.!..':':'.~.~-~-~~~~':':'.~~~.::.~~~~~~~--~-~-~~.::."!}.~!.~.. ~.~~-~.... Part 1: Defnng schedules (10 Descrbe the followng terms as used n schedulng projects. 1.1 Crtcal path 1.2 Slack tme or float

More information

The Integration of the Israel Labour Force Survey with the National Insurance File

The Integration of the Israel Labour Force Survey with the National Insurance File The Integraton of the Israel Labour Force Survey wth the Natonal Insurance Fle Natale SHLOMO Central Bureau of Statstcs Kanfey Nesharm St. 66, corner of Bach Street, Jerusalem Natales@cbs.gov.l Abstact:

More information

Understanding Annuities. Some Algebraic Terminology.

Understanding Annuities. Some Algebraic Terminology. Understandng Annutes Ma 162 Sprng 2010 Ma 162 Sprng 2010 March 22, 2010 Some Algebrac Termnology We recall some terms and calculatons from elementary algebra A fnte sequence of numbers s a functon of natural

More information

II. Random Variables. Variable Types. Variables Map Outcomes to Numbers

II. Random Variables. Variable Types. Variables Map Outcomes to Numbers II. Random Varables Random varables operate n much the same way as the outcomes or events n some arbtrary sample space the dstncton s that random varables are smply outcomes that are represented numercally.

More information

Module Contact: Dr P Moffatt, ECO Copyright of the University of East Anglia Version 2

Module Contact: Dr P Moffatt, ECO Copyright of the University of East Anglia Version 2 UNIVERSITY OF EAST ANGLIA School of Economcs Man Seres PG Examnaton 2012-13 FINANCIAL ECONOMETRICS ECO-M017 Tme allowed: 2 hours Answer ALL FOUR questons. Queston 1 carres a weght of 25%; Queston 2 carres

More information

An Application of Alternative Weighting Matrix Collapsing Approaches for Improving Sample Estimates

An Application of Alternative Weighting Matrix Collapsing Approaches for Improving Sample Estimates Secton on Survey Research Methods An Applcaton of Alternatve Weghtng Matrx Collapsng Approaches for Improvng Sample Estmates Lnda Tompkns 1, Jay J. Km 2 1 Centers for Dsease Control and Preventon, atonal

More information

YORK UNIVERSITY Faculty of Science Department of Mathematics and Statistics MATH A Test #2 November 03, 2014

YORK UNIVERSITY Faculty of Science Department of Mathematics and Statistics MATH A Test #2 November 03, 2014 Famly Name prnt): YORK UNIVERSITY Faculty of Scence Department of Mathematcs and Statstcs MATH 2280.00 A Test #2 November 0, 2014 Solutons Gven Name: Student No: Sgnature: INSTRUCTIONS: 1. Please wrte

More information

Elton, Gruber, Brown and Goetzmann. Modern Portfolio Theory and Investment Analysis, 7th Edition. Solutions to Text Problems: Chapter 4

Elton, Gruber, Brown and Goetzmann. Modern Portfolio Theory and Investment Analysis, 7th Edition. Solutions to Text Problems: Chapter 4 Elton, Gruber, Brown and Goetzmann Modern ortfolo Theory and Investment Analyss, 7th Edton Solutons to Text roblems: Chapter 4 Chapter 4: roblem 1 A. Expected return s the sum of each outcome tmes ts assocated

More information

Members not eligible for this option

Members not eligible for this option DC - Lump sum optons R6.1 Uncrystallsed funds penson lump sum An uncrystallsed funds penson lump sum, known as a UFPLS (also called a FLUMP), s a way of takng your penson pot wthout takng money from a

More information

Members not eligible for this option

Members not eligible for this option DC - Lump sum optons R6.2 Uncrystallsed funds penson lump sum An uncrystallsed funds penson lump sum, known as a UFPLS (also called a FLUMP), s a way of takng your penson pot wthout takng money from a

More information

PhysicsAndMathsTutor.com

PhysicsAndMathsTutor.com PhscsAndMathsTutor.com phscsandmathstutor.com June 2005 6. A scentst found that the tme taken, M mnutes, to carr out an eperment can be modelled b a normal random varable wth mean 155 mnutes and standard

More information

Creating a zero coupon curve by bootstrapping with cubic splines.

Creating a zero coupon curve by bootstrapping with cubic splines. MMA 708 Analytcal Fnance II Creatng a zero coupon curve by bootstrappng wth cubc splnes. erg Gryshkevych Professor: Jan R. M. Röman 0.2.200 Dvson of Appled Mathematcs chool of Educaton, Culture and Communcaton

More information

OCR Statistics 1 Working with data. Section 2: Measures of location

OCR Statistics 1 Working with data. Section 2: Measures of location OCR Statstcs 1 Workng wth data Secton 2: Measures of locaton Notes and Examples These notes have sub-sectons on: The medan Estmatng the medan from grouped data The mean Estmatng the mean from grouped data

More information

Mode is the value which occurs most frequency. The mode may not exist, and even if it does, it may not be unique.

Mode is the value which occurs most frequency. The mode may not exist, and even if it does, it may not be unique. 1.7.4 Mode Mode s the value whch occurs most frequency. The mode may not exst, and even f t does, t may not be unque. For ungrouped data, we smply count the largest frequency of the gven value. If all

More information

Capability Analysis. Chapter 255. Introduction. Capability Analysis

Capability Analysis. Chapter 255. Introduction. Capability Analysis Chapter 55 Introducton Ths procedure summarzes the performance of a process based on user-specfed specfcaton lmts. The observed performance as well as the performance relatve to the Normal dstrbuton are

More information

Quiz on Deterministic part of course October 22, 2002

Quiz on Deterministic part of course October 22, 2002 Engneerng ystems Analyss for Desgn Quz on Determnstc part of course October 22, 2002 Ths s a closed book exercse. You may use calculators Grade Tables There are 90 ponts possble for the regular test, or

More information

Problem Set 6 Finance 1,

Problem Set 6 Finance 1, Carnege Mellon Unversty Graduate School of Industral Admnstraton Chrs Telmer Wnter 2006 Problem Set 6 Fnance, 47-720. (representatve agent constructon) Consder the followng two-perod, two-agent economy.

More information

Weights in CPI/HICP and in seasonally adjusted series

Weights in CPI/HICP and in seasonally adjusted series Statstcs Netherlands Economc and busness statstcs and natonal accounts Government fnance and consumer prce statstcs.o.box 24500 2490 HA Den Haag The Netherlands eghts n CI/HIC and n seasonally adjusted

More information

Tests for Two Ordered Categorical Variables

Tests for Two Ordered Categorical Variables Chapter 253 Tests for Two Ordered Categorcal Varables Introducton Ths module computes power and sample sze for tests of ordered categorcal data such as Lkert scale data. Assumng proportonal odds, such

More information

Trivial lump sum R5.0

Trivial lump sum R5.0 Optons form Once you have flled n ths form, please return t wth your orgnal brth certfcate to: Premer PO Box 108 BLYTH NE24 9DY Fll n ths form usng BLOCK CAPITALS and black nk. Mark all answers wth an

More information

arxiv: v1 [q-fin.pm] 13 Feb 2018

arxiv: v1 [q-fin.pm] 13 Feb 2018 WHAT IS THE SHARPE RATIO, AND HOW CAN EVERYONE GET IT WRONG? arxv:1802.04413v1 [q-fn.pm] 13 Feb 2018 IGOR RIVIN Abstract. The Sharpe rato s the most wdely used rsk metrc n the quanttatve fnance communty

More information

Midterm Exam. Use the end of month price data for the S&P 500 index in the table below to answer the following questions.

Midterm Exam. Use the end of month price data for the S&P 500 index in the table below to answer the following questions. Unversty of Washngton Summer 2001 Department of Economcs Erc Zvot Economcs 483 Mdterm Exam Ths s a closed book and closed note exam. However, you are allowed one page of handwrtten notes. Answer all questons

More information

Evaluating Performance

Evaluating Performance 5 Chapter Evaluatng Performance In Ths Chapter Dollar-Weghted Rate of Return Tme-Weghted Rate of Return Income Rate of Return Prncpal Rate of Return Daly Returns MPT Statstcs 5- Measurng Rates of Return

More information

Asset Management. Country Allocation and Mutual Fund Returns

Asset Management. Country Allocation and Mutual Fund Returns Country Allocaton and Mutual Fund Returns By Dr. Lela Heckman, Senor Managng Drector and Dr. John Mulln, Managng Drector Bear Stearns Asset Management Bear Stearns Actve Country Equty Executve Summary

More information

Australia's demographic future: determinants of our population

Australia's demographic future: determinants of our population Australa's demographc future: determnants of our populaton Chrstabel Young and Lncoln Day Durng the past fve years or so there has been a change n atttude about Australa's populaton, from concern about

More information

CHAPTER 9 FUNCTIONAL FORMS OF REGRESSION MODELS

CHAPTER 9 FUNCTIONAL FORMS OF REGRESSION MODELS CHAPTER 9 FUNCTIONAL FORMS OF REGRESSION MODELS QUESTIONS 9.1. (a) In a log-log model the dependent and all explanatory varables are n the logarthmc form. (b) In the log-ln model the dependent varable

More information

Spurious Seasonal Patterns and Excess Smoothness in the BLS Local Area Unemployment Statistics

Spurious Seasonal Patterns and Excess Smoothness in the BLS Local Area Unemployment Statistics Spurous Seasonal Patterns and Excess Smoothness n the BLS Local Area Unemployment Statstcs Keth R. Phllps and Janguo Wang Federal Reserve Bank of Dallas Research Department Workng Paper 1305 September

More information

>1 indicates country i has a comparative advantage in production of j; the greater the index, the stronger the advantage. RCA 1 ij

>1 indicates country i has a comparative advantage in production of j; the greater the index, the stronger the advantage. RCA 1 ij 69 APPENDIX 1 RCA Indces In the followng we present some maor RCA ndces reported n the lterature. For addtonal varants and other RCA ndces, Memedovc (1994) and Vollrath (1991) provde more thorough revews.

More information

Probability Distributions. Statistics and Quantitative Analysis U4320. Probability Distributions(cont.) Probability

Probability Distributions. Statistics and Quantitative Analysis U4320. Probability Distributions(cont.) Probability Statstcs and Quanttatve Analss U430 Dstrbutons A. Dstrbutons: How do smple probablt tables relate to dstrbutons?. What s the of gettng a head? ( con toss) Prob. Segment 4: Dstrbutons, Unvarate & Bvarate

More information

occurrence of a larger storm than our culvert or bridge is barely capable of handling? (what is The main question is: What is the possibility of

occurrence of a larger storm than our culvert or bridge is barely capable of handling? (what is The main question is: What is the possibility of Module 8: Probablty and Statstcal Methods n Water Resources Engneerng Bob Ptt Unversty of Alabama Tuscaloosa, AL Flow data are avalable from numerous USGS operated flow recordng statons. Data s usually

More information

MgtOp 215 Chapter 13 Dr. Ahn

MgtOp 215 Chapter 13 Dr. Ahn MgtOp 5 Chapter 3 Dr Ahn Consder two random varables X and Y wth,,, In order to study the relatonshp between the two random varables, we need a numercal measure that descrbes the relatonshp The covarance

More information

Tuition Fee Loan application notes

Tuition Fee Loan application notes Tuton Fee Loan applcaton notes for new part-tme EU students 2017/18 About these notes These notes should be read along wth your Tuton Fee Loan applcaton form. The notes are splt nto three parts: Part 1

More information

Homework 9: due Monday, 27 October, 2008

Homework 9: due Monday, 27 October, 2008 PROBLEM ONE Homework 9: due Monday, 7 October, 008. (Exercses from the book, 6 th edton, 6.6, -3.) Determne the number of dstnct orderngs of the letters gven: (a) GUIDE (b) SCHOOL (c) SALESPERSONS. (Exercses

More information

FORD MOTOR CREDIT COMPANY SUGGESTED ANSWERS. Richard M. Levich. New York University Stern School of Business. Revised, February 1999

FORD MOTOR CREDIT COMPANY SUGGESTED ANSWERS. Richard M. Levich. New York University Stern School of Business. Revised, February 1999 FORD MOTOR CREDIT COMPANY SUGGESTED ANSWERS by Rchard M. Levch New York Unversty Stern School of Busness Revsed, February 1999 1 SETTING UP THE PROBLEM The bond s beng sold to Swss nvestors for a prce

More information

Survey of Math: Chapter 22: Consumer Finance Borrowing Page 1

Survey of Math: Chapter 22: Consumer Finance Borrowing Page 1 Survey of Math: Chapter 22: Consumer Fnance Borrowng Page 1 APR and EAR Borrowng s savng looked at from a dfferent perspectve. The dea of smple nterest and compound nterest stll apply. A new term s the

More information

A Methodology for Studying Child Mortality Differentials in Populations with Limited Death Registration. Claire Noël-Miller Douglas Ewbank

A Methodology for Studying Child Mortality Differentials in Populations with Limited Death Registration. Claire Noël-Miller Douglas Ewbank A Methodology for tudyng Chld Mortalty Dfferentals n Populatons wth Lmted Death Regstraton. Clare Noël-Mller Douglas Ewbank Indrect methods of estmaton reman an mportant tool for ganng an understandng

More information

Impacts of Population Aging on Economic Growth and Structure Change in China

Impacts of Population Aging on Economic Growth and Structure Change in China Impacts of Populaton Agng on Economc Growth and Structure Change n Chna The feature of Chnese demographc structure s changng from a hgh fertlty rate, hgh death rate and low lfe expectancy to low fertlty

More information

Financial mathematics

Financial mathematics Fnancal mathematcs Jean-Luc Bouchot jean-luc.bouchot@drexel.edu February 19, 2013 Warnng Ths s a work n progress. I can not ensure t to be mstake free at the moment. It s also lackng some nformaton. But

More information

Raising Food Prices and Welfare Change: A Simple Calibration. Xiaohua Yu

Raising Food Prices and Welfare Change: A Simple Calibration. Xiaohua Yu Rasng Food Prces and Welfare Change: A Smple Calbraton Xaohua Yu Professor of Agrcultural Economcs Courant Research Centre Poverty, Equty and Growth Unversty of Göttngen CRC-PEG, Wlhelm-weber-Str. 2 3773

More information

PASS Sample Size Software. :log

PASS Sample Size Software. :log PASS Sample Sze Software Chapter 70 Probt Analyss Introducton Probt and lot analyss may be used for comparatve LD 50 studes for testn the effcacy of drus desned to prevent lethalty. Ths proram module presents

More information

Available online at ScienceDirect. Procedia Computer Science 24 (2013 ) 9 14

Available online at   ScienceDirect. Procedia Computer Science 24 (2013 ) 9 14 Avalable onlne at www.scencedrect.com ScenceDrect Proceda Computer Scence 24 (2013 ) 9 14 17th Asa Pacfc Symposum on Intellgent and Evolutonary Systems, IES2013 A Proposal of Real-Tme Schedulng Algorthm

More information

ECONOMETRICS - FINAL EXAM, 3rd YEAR (GECO & GADE)

ECONOMETRICS - FINAL EXAM, 3rd YEAR (GECO & GADE) ECONOMETRICS - FINAL EXAM, 3rd YEAR (GECO & GADE) May 17, 2016 15:30 Frst famly name: Name: DNI/ID: Moble: Second famly Name: GECO/GADE: Instructor: E-mal: Queston 1 A B C Blank Queston 2 A B C Blank Queston

More information

Final Examination MATH NOTE TO PRINTER

Final Examination MATH NOTE TO PRINTER Fnal Examnaton MATH 329 2005 01 1 NOTE TO PRINTER (These nstructons are for the prnter. They should not be duplcated.) Ths examnaton should be prnted on 8 1 2 14 paper, and stapled wth 3 sde staples, so

More information

Hewlett Packard 10BII Calculator

Hewlett Packard 10BII Calculator Hewlett Packard 0BII Calculator Keystrokes for the HP 0BII are shown n the tet. However, takng a mnute to revew the Quk Start secton, below, wll be very helpful n gettng started wth your calculator. Note:

More information

Welfare Aspects in the Realignment of Commercial Framework. between Japan and China

Welfare Aspects in the Realignment of Commercial Framework. between Japan and China Prepared for the 13 th INFORUM World Conference n Huangshan, Chna, July 3 9, 2005 Welfare Aspects n the Realgnment of Commercal Framework between Japan and Chna Toshak Hasegawa Chuo Unversty, Japan Introducton

More information

Harmonised Labour Cost Index. Methodology

Harmonised Labour Cost Index. Methodology Harmonsed Labour Cost Index Methodology March 2013 Index 1 Introducton 3 2 Scope, coverage and reference perod 4 3 Defntons 5 4 Sources of nformaton 7 5 Formulae employed 9 6 Results obtaned 10 7 Seres

More information

Chapter 4. An Overview of the Dynamic GTAP Data Base: The Data Base Construction and Aggregation Programs

Chapter 4. An Overview of the Dynamic GTAP Data Base: The Data Base Construction and Aggregation Programs Chapter 4 An Overvew of the Dynamc GTAP Data Base: The Data Base Constructon and Aggregaton Programs Robert A. McDougall, Terre Walmsley, Alla Golub, Elena Ianchovchna and Ken Itakura 1. Introducton The

More information

Reliability of using Standardized Mortality Ratio in Estimation of Relative Risk of Under-Five Mortality in Uganda; an Empirical Analysis

Reliability of using Standardized Mortality Ratio in Estimation of Relative Risk of Under-Five Mortality in Uganda; an Empirical Analysis Research Artcle MedPub Journals http://www.medpub.com/ Journal of Healthcare Communcatons ISSN 2472-1654 DOI: 10.4172/2472-1654.10002 Relablty of usng Standardzed Mortalty Rato n Estmaton of Relatve Rsk

More information

Social Cohesion and the Dynamics of Income in Four Countries

Social Cohesion and the Dynamics of Income in Four Countries NOT FOR CITATION WITHOUT AUTHORS PERMISSION Socal Coheson and the Dynamcs of Income n Four Countres Mles Corak, Wen-Hao Chen, Abdellatf Demant, and Denns Batten Famly and Labour Studes Statstcs Canada

More information

Adjusting Corporate Default Rates for Rating Withdrawals

Adjusting Corporate Default Rates for Rating Withdrawals Adjustng Corporate Default Rates for Ratng Wthdrawals Rchard Cantor Managng Drector, Credt Polcy Research Moody s Investors Servce, 99 Church Street, New York, NY 0007, USA; phone: 22) 553.3628; emal:

More information

/ Computational Genomics. Normalization

/ Computational Genomics. Normalization 0-80 /02-70 Computatonal Genomcs Normalzaton Gene Expresson Analyss Model Computatonal nformaton fuson Bologcal regulatory networks Pattern Recognton Data Analyss clusterng, classfcaton normalzaton, mss.

More information

MULTIPLE CURVE CONSTRUCTION

MULTIPLE CURVE CONSTRUCTION MULTIPLE CURVE CONSTRUCTION RICHARD WHITE 1. Introducton In the post-credt-crunch world, swaps are generally collateralzed under a ISDA Master Agreement Andersen and Pterbarg p266, wth collateral rates

More information

UNIVERSITY OF VICTORIA Midterm June 6, 2018 Solutions

UNIVERSITY OF VICTORIA Midterm June 6, 2018 Solutions UIVERSITY OF VICTORIA Mdterm June 6, 08 Solutons Econ 45 Summer A0 08 age AME: STUDET UMBER: V00 Course ame & o. Descrptve Statstcs and robablty Economcs 45 Secton(s) A0 CR: 3067 Instructor: Betty Johnson

More information

Tuition Fee Loan application notes for new part-time EU students studying in Wales 2017/18

Tuition Fee Loan application notes for new part-time EU students studying in Wales 2017/18 Tuton Fee Loan applcaton notes for new part-tme EU students studyng n Wales 2017/18 About these notes These notes should be read alongsde your Tuton Fee Loan applcaton form. completng your form Tmescale

More information

A Comparison of Statistical Methods in Interrupted Time Series Analysis to Estimate an Intervention Effect

A Comparison of Statistical Methods in Interrupted Time Series Analysis to Estimate an Intervention Effect Transport and Road Safety (TARS) Research Joanna Wang A Comparson of Statstcal Methods n Interrupted Tme Seres Analyss to Estmate an Interventon Effect Research Fellow at Transport & Road Safety (TARS)

More information

Estimation of Wage Equations in Australia: Allowing for Censored Observations of Labour Supply *

Estimation of Wage Equations in Australia: Allowing for Censored Observations of Labour Supply * Estmaton of Wage Equatons n Australa: Allowng for Censored Observatons of Labour Supply * Guyonne Kalb and Rosanna Scutella* Melbourne Insttute of Appled Economc and Socal Research The Unversty of Melbourne

More information

Economics 1410 Fall Section 7 Notes 1. Define the tax in a flexible way using T (z), where z is the income reported by the agent.

Economics 1410 Fall Section 7 Notes 1. Define the tax in a flexible way using T (z), where z is the income reported by the agent. Economcs 1410 Fall 2017 Harvard Unversty Yaan Al-Karableh Secton 7 Notes 1 I. The ncome taxaton problem Defne the tax n a flexble way usng T (), where s the ncome reported by the agent. Retenton functon:

More information

Payments and Reporting

Payments and Reporting Quck Start Gude Access Onlne Payments and Reportng February 2018 Usage of the applcaton and descrpton of the commonly used functonaltes. General The Quck Start Gude Payments and Reportng s ntended for

More information

4. Greek Letters, Value-at-Risk

4. Greek Letters, Value-at-Risk 4 Greek Letters, Value-at-Rsk 4 Value-at-Rsk (Hull s, Chapter 8) Math443 W08, HM Zhu Outlne (Hull, Chap 8) What s Value at Rsk (VaR)? Hstorcal smulatons Monte Carlo smulatons Model based approach Varance-covarance

More information

Merton-model Approach to Valuing Correlation Products

Merton-model Approach to Valuing Correlation Products Merton-model Approach to Valung Correlaton Products Vral Acharya & Stephen M Schaefer NYU-Stern and London Busness School, London Busness School Credt Rsk Electve Sprng 2009 Acharya & Schaefer: Merton

More information

15-451/651: Design & Analysis of Algorithms January 22, 2019 Lecture #3: Amortized Analysis last changed: January 18, 2019

15-451/651: Design & Analysis of Algorithms January 22, 2019 Lecture #3: Amortized Analysis last changed: January 18, 2019 5-45/65: Desgn & Analyss of Algorthms January, 09 Lecture #3: Amortzed Analyss last changed: January 8, 09 Introducton In ths lecture we dscuss a useful form of analyss, called amortzed analyss, for problems

More information

Notes on experimental uncertainties and their propagation

Notes on experimental uncertainties and their propagation Ed Eyler 003 otes on epermental uncertantes and ther propagaton These notes are not ntended as a complete set of lecture notes, but nstead as an enumeraton of some of the key statstcal deas needed to obtan

More information

3/3/2014. CDS M Phil Econometrics. Vijayamohanan Pillai N. Truncated standard normal distribution for a = 0.5, 0, and 0.5. CDS Mphil Econometrics

3/3/2014. CDS M Phil Econometrics. Vijayamohanan Pillai N. Truncated standard normal distribution for a = 0.5, 0, and 0.5. CDS Mphil Econometrics Lmted Dependent Varable Models: Tobt an Plla N 1 CDS Mphl Econometrcs Introducton Lmted Dependent Varable Models: Truncaton and Censorng Maddala, G. 1983. Lmted Dependent and Qualtatve Varables n Econometrcs.

More information

MEASURING COMPETITIVENESS OF TRANSITION ECONOMIES WITH RICARDO AND HECKSCHER-OHLIN

MEASURING COMPETITIVENESS OF TRANSITION ECONOMIES WITH RICARDO AND HECKSCHER-OHLIN MEASURING COMPETITIVENESS OF TRANSITION ECONOMIES WITH RICARDO AND HECSCHER-OHLIN Semr Daskapan Delft Unversty of Technology, Jaffalaan 5, Delft, The Netherlands, semrd@tbm.tudelft.nl To measure compettve

More information

Advisory. Category: Capital

Advisory. Category: Capital Advsory Category: Captal NOTICE* Subject: Alternatve Method for Insurance Companes that Determne the Segregated Fund Guarantee Captal Requrement Usng Prescrbed Factors Date: Ths Advsory descrbes an alternatve

More information

Affordable Care Act (2010) The Oregon Health Insurance Experiment. Insurance coverage by type, /13/2016

Affordable Care Act (2010) The Oregon Health Insurance Experiment. Insurance coverage by type, /13/2016 Affordable Care Act (2010) The Oregon Health Insurance Experment Prmarly desgned to nsurance coverage Kept current system Fll n the holes n current coverage Expand Medcad elgblty Pay or play frms w/ 50+

More information

EDC Introduction

EDC Introduction .0 Introducton EDC3 In the last set of notes (EDC), we saw how to use penalty factors n solvng the EDC problem wth losses. In ths set of notes, we want to address two closely related ssues. What are, exactly,

More information

Finite Math - Fall Section Future Value of an Annuity; Sinking Funds

Finite Math - Fall Section Future Value of an Annuity; Sinking Funds Fnte Math - Fall 2016 Lecture Notes - 9/19/2016 Secton 3.3 - Future Value of an Annuty; Snkng Funds Snkng Funds. We can turn the annutes pcture around and ask how much we would need to depost nto an account

More information

Optimal income taxation of lone mothers: an empirical comparison for Germany and the UK

Optimal income taxation of lone mothers: an empirical comparison for Germany and the UK Optmal ncome taxaton of lone mothers: an emprcal comparson for Germany and the UK by Rchard Blundell b,c, Mke Brewer b, Peter Haan a and Andrew Shephard b June 2006 Abstract Acknowledgement : Fnancal support

More information

Skewness and kurtosis unbiased by Gaussian uncertainties

Skewness and kurtosis unbiased by Gaussian uncertainties Skewness and kurtoss unbased by Gaussan uncertantes Lorenzo Rmoldn Observatore astronomque de l Unversté de Genève, chemn des Mallettes 5, CH-9 Versox, Swtzerland ISDC Data Centre for Astrophyscs, Unversté

More information

Canadian Group Annuitant Mortality Experience, Calendar Years

Canadian Group Annuitant Mortality Experience, Calendar Years Study Canadan Group Annutant Mortalty Experence, Calendar Years 2007 2012 Penson and Group Annuty Experence Subcommttee Research Commttee Aprl 2017 Document 217047 Ce document est dsponble en franças 2017

More information

σ may be counterbalanced by a larger

σ may be counterbalanced by a larger Questons CHAPTER 5: TWO-VARIABLE REGRESSION: INTERVAL ESTIMATION AND HYPOTHESIS TESTING 5.1 (a) True. The t test s based on varables wth a normal dstrbuton. Snce the estmators of β 1 and β are lnear combnatons

More information

Consumption Based Asset Pricing

Consumption Based Asset Pricing Consumpton Based Asset Prcng Mchael Bar Aprl 25, 208 Contents Introducton 2 Model 2. Prcng rsk-free asset............................... 3 2.2 Prcng rsky assets................................ 4 2.3 Bubbles......................................

More information

PRESS RELEASE. The evolution of the Consumer Price Index (CPI) of March 2017 (reference year 2009=100.0) is depicted as follows:

PRESS RELEASE. The evolution of the Consumer Price Index (CPI) of March 2017 (reference year 2009=100.0) is depicted as follows: HELLENIC EPUBLIC HELLENIC STATISTICAL AUTHOITY Praeus, Aprl 27 PESS ELEASE CONSUME PICE INDEX: March 27, annual nflaton.7% The evoluton of the Consumer Prce Index (CPI) of March 27 (reference year 29=.)

More information

Introduction. Why One-Pass Statistics?

Introduction. Why One-Pass Statistics? BERKELE RESEARCH GROUP Ths manuscrpt s program documentaton for three ways to calculate the mean, varance, skewness, kurtoss, covarance, correlaton, regresson parameters and other regresson statstcs. Although

More information

Lecture Note 2 Time Value of Money

Lecture Note 2 Time Value of Money Seg250 Management Prncples for Engneerng Managers Lecture ote 2 Tme Value of Money Department of Systems Engneerng and Engneerng Management The Chnese Unversty of Hong Kong Interest: The Cost of Money

More information

Estimating age specific mortality: a new model life table system with flexible standard mortality schedules

Estimating age specific mortality: a new model life table system with flexible standard mortality schedules Estmatn ae specfc mortalty: a new model lfe table system wth fleble standard mortalty schedules Author afflaton: Hadon Wan (Ph.D.) Unversty of Washnton, Seattle, Unted States hadon@uw.edu Alan D. Lopez

More information

3: Central Limit Theorem, Systematic Errors

3: Central Limit Theorem, Systematic Errors 3: Central Lmt Theorem, Systematc Errors 1 Errors 1.1 Central Lmt Theorem Ths theorem s of prme mportance when measurng physcal quanttes because usually the mperfectons n the measurements are due to several

More information

Random Variables. b 2.

Random Variables. b 2. Random Varables Generally the object of an nvestgators nterest s not necessarly the acton n the sample space but rather some functon of t. Techncally a real valued functon or mappng whose doman s the sample

More information

Introduction. Chapter 7 - An Introduction to Portfolio Management

Introduction. Chapter 7 - An Introduction to Portfolio Management Introducton In the next three chapters, we wll examne dfferent aspects of captal market theory, ncludng: Brngng rsk and return nto the pcture of nvestment management Markowtz optmzaton Modelng rsk and

More information

A Bootstrap Confidence Limit for Process Capability Indices

A Bootstrap Confidence Limit for Process Capability Indices A ootstrap Confdence Lmt for Process Capablty Indces YANG Janfeng School of usness, Zhengzhou Unversty, P.R.Chna, 450001 Abstract The process capablty ndces are wdely used by qualty professonals as an

More information

Eric Bonsang, Arthur van Soest. Satisfaction with job and income among older individuals across European countries RM/10/059

Eric Bonsang, Arthur van Soest. Satisfaction with job and income among older individuals across European countries RM/10/059 Erc Bonsang, Arthur van Soest Satsfacton wth job and ncome among older ndvduals across European countres RM/10/059 Satsfacton wth job and ncome among older ndvduals across European countres 1 Abstract

More information

Research on Modifications to the Method of Preliminary Estimates of Interprovincial Migration

Research on Modifications to the Method of Preliminary Estimates of Interprovincial Migration Catalogue no. 91F0015MIE No. 007 ISSN: 1205-996X ISBN: 0-662-39534-4 Research Paper Demographc documents Research on Modfcatons to the Method of Prelmnary Estmates of Interprovncal Mgraton by Jaosheng

More information

How Family Status and Social Security Claiming Options Shape Optimal Life Cycle Portfolios

How Family Status and Social Security Claiming Options Shape Optimal Life Cycle Portfolios Workng Paper WP 2013-293 How Famly Status and Socal Securty Clamng Optons Shape Optmal Lfe Cycle Portfolos Andreas Hubener, Ramond Maurer, and Olva S. Mtchell M R R C Project #: UM13-12 How Famly Status

More information

Data Mining Linear and Logistic Regression

Data Mining Linear and Logistic Regression 07/02/207 Data Mnng Lnear and Logstc Regresson Mchael L of 26 Regresson In statstcal modellng, regresson analyss s a statstcal process for estmatng the relatonshps among varables. Regresson models are

More information

Unemployment in the Stock and Flow

Unemployment in the Stock and Flow Unemployment n the Stock and Flow by Mchael Baker*, Mles Corak** and Andrew Hesz*** No. 97 11F0019MPE No. 97 ISSN:1200-5223 ISBN: 0-0660-16579-1 Prce: $5.00 per ssue, $25.00 annually Busness and Labour

More information