PSAI Annual Conference: Bulletin No. 3

Wednesday, August 16, 2017
27 September 2017
The training program will focus on explaining and providing details on the different applications of estimation and hypothesis testing. During the session, techniques in teaching the difference concepts will be discussed. Likewise, ways to address common misconceptions will be tacked. Lastly, they will be introduced to the used of software PHStat for teaching purposes. This program is intended for teachers teaching statistics in K to 12 and College Statistics
The topics for discussion will include (1) review of some basic concepts (mean, standard deviation, probability sampling, normal distribution, binomial distribution); (2) estimation of the mean and proportion (for one and two populations); (3) hypothesis testing for the mean and proportion (for one and two populations); and (4) demo on the use of PHStat. 
Resource Person:
JOSEFINA V. ALMEDA, PhD joined the faculty of the School of Statistics in 1985. Since that time, she has held numerous positions in the School such as College Secretary from 1988 to 2003, then again from 2008 up to the present. She also served as Director of the Undergraduate Studies program from 2006 to 2008. She is a technical consultant for statistical projects of several international and local organizations. Professor Almeda was also a recipient of numerous awards and grants from the Philippine Statistical Association, Fajardo Foundation, Department of Science and Technology, and the University of the Philippines. She received the “2009 President’s Award for Innovation in Teaching” for enriching learning through evidence-based instruction from the University of the Philippines. She has been  involved in local and international fora and  conferences in statistics where she was a paper presenter, discussant, or main facilitator. Professor Almeda holds a PhD in Education with specialization in Research and Evaluation from University of the Philippines. Currently, she also teaches in the Master’s and PhD programs of the College of  Education.
Many statistical techniques focus on the analysis of data based on its numeric or textual form. However, many of us overlook one aspect of data: its location. Geography, which represents statistical data’s spatial property, offers a lot of potential for gaining deeper  insights on phenomena, such as population and demographics, among many others.
This session will focus on how to incorporate and leverage data’s spatial property in doing statistical inquiry using a technology called Geographic Information Systems (GIS). The Esri ArcGIS platform, a complete industry-standard GIS software solution, shall be used in this session. 
Session outline:
1. What is GIS?
2. Some statistical applications
3. How does GIS work: some basic  concepts
4. Using GIS in statistics
         Data capture
         Data visualization
         Analyzing geographic patterns of data
         Regression analysis
This session is intended for statistical practitioners and students who do not yet have any prior knowledge or experience in using GIS, or current GIS users who want to learn the GIS capabilities of the ArcGIS platform in various statistical applications.
Resource person:
DENNIS DIZON is a GIS specialist by profession and is currently the GIS Training Manager of Geodata Systems, the Philippines’ leading company in geospatial technologies. He has been in the  geospatial technologies industry since 2006. During his practice, he has already earned various certifications for his practice in GIS project implementation and capability development from the Environmental Systems Research Institute, the global leading GIS company; and  CompTIA, a global association and certifying body for IT standards). He is a graduate of Bachelor of Science in Geography at the University of the Philippines Diliman, and is currently taking up Master of Statistics at the UP School of Statistics.
Evaluation approaches for development projects in the country have evolved considerably over the past years. National and local agencies, donors, and other practitioners in the development community are keen to determine the effectiveness of programs with far-reaching goals such as lowering poverty, increasing employment, increasing school attendance. Comparing program effects across different cities/municipalities, provinces and regions is also receiving greater attention, and becoming more ambitious in scope, as researchers acquire enough data to be able to test specific policy questions across areas. These policy questions are often possible only through impact evaluations based on hard evidence (empirical) from survey data or through related  quantitative approaches.
The process of evaluating development projects faces empirical and practical challenges as researchers and evaluators often have to produce results within a short time span after the project or intervention is conceived. With multiple options available to design and evaluate a program, choosing a particular method in a specific context is not always an easy task for an evaluator, especially because the results may be sensitive to the context and methods applied.
The training program on Impact Monitoring and Evaluation for LGUs aims to introduce researchers,  program managers, and evaluators to the different techniques in program evaluation such as Randomized Control Trials (RCTs), Difference-in-Differences, Regression Discontinuity and Design among others, including some of the case studies.
Resource Person:
DENNIS S. MAPA, PhD is the Dean and Professor in Statistics at the School of Statistics, University of the Philippines in Diliman; an Affiliate Professor in Economics at the School of Economics, UP Diliman; Research Fellow at the Social Weather Stations (SWS) and the Energy Policy and Development Program (EPDP). He was a visiting scholar at the International Centre for the Study of East Asian Development (ICSEAD) in Kitakyushu, Japan.
He finished his Bachelor of Science degree in Statistics and completed two Master’s  degrees: in Economics and in Statistics and his Ph.D in Economics, all from the University of the Philippines.
A  multi-awarded researcher, Dr. Mapa is recipient of the One UP Professorial Chair for 2016 to 2018 from the University of the Philippines; Regional Professorial Chair holder for 2015, at the Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA); the Bangko Sentral ng Pilipinas (BSP) Sterling Professor for Official and Government Statistics for 2014 and 2016; UP Scientist for 2012-2014; and, Outstanding Young Scientist (OYS) Award in Economics from the National Academy of Science and Technology (NAST) for his   research contribution in the areas of Financial Econometrics and Empirical Economic Growth analysis in 2008.
Currently, he is the President of the Philippine Statistical Association, Inc. (PSAI), the country’s sole scientific society of professionals committed to the proper use of statistics; Executive Director of the UP Statistical Center Research Foundation, Inc. (UPSCRFI); and a member of the Governing Boards of the Philippine Statistics Authority (PSA),  and the Philippine Statistical Research and Training Institute (PSRTI),  and a member of the Board of Trustees of the Philippine Social Science Council (PSSC).
(Preliminary List of Papers as of 14 August 2017)
28-29 September 2017
  • Employment Correlates of Multidimensional Poverty in the Philippines by Manuel Leonard Albis and Jessmond Elviña 
  • Sharing and Matching Hypotheses: Reasons for Agglomeration in the Philippines by Manuel Leonard F. Albis  and  Joselito C. Magadia 
  • Scoring System for Graduate School Admissions Using Logit Models  by Josefina V. Almeda 
  • Poisson Regression Estimates of the Municipal and City Level Counts of Poor Households in Western Visayas Region, Philippines by Reanne Len C. Arlan and Zita VJ. Albacea 
  • The Effect of Diesel Excise Tax on Inflation and Poverty: Evidence from Econometric Analysis by Angelie Grace B. Aycardo and Dennis S. Mapa
  • Model-based Estimation of Local Area Unemployment Counts in Western Visayas Region, Philippines by Maurice C. Borromeo and Zita VJ Albacea 
  • House for Sale: Estimating Housing Demand in the Philippines by Faith Lea B. Cabrera, Eleanore V. Ramos and Mary Ann C. Magtulis 
  • Coping Strategies of Local Government Units to Natural Disasters by Majah-Leah Ravago, Dennis S.  Mapa and Jun Carlo Sunglao 
  • The 30 pesos per day man and woman: The tale of extreme poverty in the two provinces of  Negros and its implications to the social protection programs by  Dennis S. Mapa, Michael Del Mundo and Denise Jannah Serrano
  • Indirect Estimation of the Municipal and City Level Average  Household Saving Rate in Western Visayas Region, Philippines by  Jared Jorim O. Mendoza and Zita VJ Albacea  
  • Balanced Sampling-Based Integerisation Approach for Spatial Microsimulation by Jenny A. Romero 
  • Extreme Value Modelling for Measuring Financial Risk with Application to Selected Philippine Stocks by April Antonette F. Velasco and  Danielle Koleen P. Lapuz 
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