Challenges in Compiling a National House Price Index for Ireland Niall O’Hanlon UNECE May 2010.

Slides:



Advertisements
Similar presentations
Buying and Selling a Home
Advertisements

Chapter 9 Analyzing Results Using The Income Statement
Antalis H results presentation to Analysts September 8, 2004.
Use of Credit Bureau Data to Measure Household Debt Use of Credit Bureau Data to Measure Household Debt Prepared by Susan Hume McIntosh and Elizabeth Ball.
Economics Indicators INFLATION & THE CONSUMER PRICE INDEX (CPI)
Chapter 14 Personal Financial Management © 2008 Pearson Addison-Wesley. All rights reserved.
The Rental Exchange Julie Alexander Income Collection Policy.
Market Driven Organization Fall 2010 Loyalty Myths 15. November Loyalty Myths Blind reliance on loyalty as a universal goal will put you out of business.
Consumer Math p Definitions  Down payment – part of the price paid at the time of purchase  Financed – borrowed  Mortgage – a property loan.
1 Editing Administrative Data and Combined Data Sources Introduction.
Wal-Mart Public Relations Case Study By Riley Hall PR Case Studies, COMT 526/800 Dr. Keller.
PPA 502 – Program Evaluation Lecture 5b – Collecting Data from Agency Records.
Session 2 : The Downturn & Irish Business Richard McMahon Central Statistics Office.
Marketing Plan.
1 IPSG WORKSHOP 1 - CHALLENGES AND TOOLS FOR THE CENTRE OF GOVERNMENT There is an observable trend towards direction of centralization of the CoG: Reasons.
“ONE STEP FORWARD” Dayton Neighborhood Stabilization / Renovation / Future Growth Presented by: Tammy Murphy A COMPREHENSIVE PLAN OF ACTION TO MOVE FORWARD.
6.02 Understand economic indicators to recognize economic trends and conditions A Describe the economic impact of inflation on business Understand.
Edit and Imputation of the 2011 Abu Dhabi Census Glenn Hui and Hanan AlDarmaki Statistics Centre - Abu Dhabi UNECE CES Work Session on Statistical Data.
The Rehabilitation in the Community of Persons with Mental Disabilities Law of Israel: Challenge and Opportunity in a Changing Mental Health Service System.
Buying a Home. Renting a House AdvantagesDisadvantages.
Jeff Davi Real Estate Commissioner DEPARTMENT OF REAL ESTATE UPDATE.
Accounting Specialist Basic Functions : To provide essential data by computing and distributing collections to their respective allocations. Knowing the.
SECTION 13-4 The Costs and Advantages of Home Ownership Slide
One Step Further Practical Implementation of Guide Note 12.
MEASURING UK INFLATION Presentation to Civil Service Pensioners’ Alliance conference on price indexation November 23 rd 2010 Jill Leyland Vice President,
TRANSFORMING The Northeast’s Older Home Market with ENERGY EFFICIENT MORTGAGES © 2007 Northeast Home Energy Rating System Alliance.
ARLB Fitness ARLB Seminar 2014/15. Aim of Rugby Committee - Fitness Improve the overall fitness of the body of referees Assist and support individual.
Evaluation of the Indianapolis, Indiana September 2002 – August 2003 Stamp Out Syphilis Coalition.
Current practice of Kazakhstan on calculating of price index in the dwelling market December, , Astana Statistics Committee Of Ministry of national.
Assessing Quality for Integration Based Data M. Denk, W. Grossmann Institute for Scientific Computing.
Poverty measurement: experience of the Republic of Moldova UNECE, Measuring poverty, 4 May 2015.
6.02 Understand economic indicators to recognize economic trends and conditions Understand economics trends and communication.
1 Mortgage Defaults and Foreclosures: Recent Trends and Associated Economic and Market Developments Randy Fasnacht U.S. Government Accountability Office.
The Research Problem Statement. Research Problem  The research problem defines the mission and objectives behind conducting primary research.
THE Wealth of Older Americans and the Sub- prime Debacle Barry Bosworth Rosanna Smart.
Handbook on Residential Property Price Indices Chapter 5: Methods Jan de Haan UNECE/ILO Meeting, May 2010.
United Nations Economic Commission for Europe Statistical Division Mapping Data Production Processes to the GSBPM Steven Vale UNECE
Chapter 13 – Overhead and Marketing Variances
Investment, Credit, and Interest BBI2O. Recap: types of investments Investment options vary according to risk and return  Risk: how “safe” is your investment.
Compiling a Services Producer Price Index using IMF developed Price Index Processor Software Niall O’Hanlon, CSO Ireland.
Workshop on Price Index Compilation Issues February 23-27, 2015 Imputation of Missing Values, Seasonal Products and Quality Changes Gefinor Rotana Hotel,
The Joint ECE/ILO Group meetings on Consumer Price Indices – 30 years on.
AUDIT IN COMPUTERIZED ENVIRONMENT
Growth Model Users Group November 15, 2013 Greg Johnson Weyerhaeuser NR Company.
Meeting of the Group of Experts on Consumer Price Indices. Geneva May 2014, UNECE Workshop 7: Seasonal products. Palais des Nations, Geneva - Meeting.
1 THE INFORMAL SECTOR in the 1993 SNA, Rev.1 1 A EG IVO HAVINGA, UN Statistics Division CAROL CARSON, Project Manager Session on the Non-observed Economy.
Microeconomics and Macroeconomics FCS 3450 Fall 2015 Unit 2.
Audit of outcomes in HIV BHIVA Audit and Standards Sub-Committee E Ong (chair), J Anderson, D Churchill, M Desai, S Edwards, S Ellis, A Freedman, P Gupta,
Use of complementary administrative data sets for Australian house price indexes.
1 IRES, Chapter 2 Scope of Energy Statistics Vladimir Markhonko United Nations Statistics Division The Oslo Group on Energy Statistics Fifth meeting, Cork,
United Nations Economic Commission for Europe Statistical Division UNECE Workshop on Consumer Price Indices Istanbul, Turkey,10-13 October 2011 Session.
©2013 Experian Limited & BII. All rights reserved. Experian and the marks used herein are service marks or registered trademarks of Experian Limited. Other.
CPUE analysis methods, progress and plans for 2011 Simon Hoyle.
The Marketing Mix. 4.2 Marketing Applications The Marketing Mix: Consists of variables controlled by marketing professionals in an effort to satisfy the.
Copyright 2010, The World Bank Group. All Rights Reserved. Producer prices, part 2 Measurement issues Business Statistics and Registers 1.
(8) Potential required for planning with management Top-Down Estimating Method: Top-down estimating method is also called Macro Model. Using it, estimation.
 2012 Pearson Education, Inc. Slide Chapter 13 Personal Financial Management.
Steps To Secure A Mortgage Khaled sharif. Complete the application To get a mortgage you must first complete the required application, which is used to.
Copyright © 2015, 2011, and 2007 Pearson Education, Inc. 1 Chapter 13 Personal Financial Management.
Chapter 3: Cost Estimation Techniques
Ronan Lyons, Trinity College Dublin CSO Housing Statistics Seminar
BCAC CONFERENCE October 26, 2010
Extensions to the core system
UNECE/EFTA/Eurostat workshop
Handbook on Residential Property Price Indices
Compiling a National House Price Index for Ireland
X-DIS/XBRL Phase 2 Kick-Off
Mapping Data Production Processes to the GSBPM
The Swedish survey on turnover in the service sector
Research outline for CPUE data used in WCPO stock assessments
Presentation transcript:

Challenges in Compiling a National House Price Index for Ireland Niall O’Hanlon UNECE May 2010

Preface House Price Index currently under development List of challenges not exhaustive Focus on those challenges encountered during initial phase of development UNECE May 2010

Monthly Data Source Requirement designed and collected by a government ministry from mortgage lenders Other potential data deemed unsuitable Mortgage approvals (timely) and drawdowns Rich data source UNECE May 2010

Some drawbacks No micro location detail  no national system of postcodes in Ireland Collaborating with data owner  data pre-validated  no bilateral communication with data generators (lenders) UNECE May 2010

Data quality issues Overall quality disappointing Not homogeneous  inconsistent over time but improving  varies between lenders  differs between variables UNECE May 2010

Percentage of error records by type – all lenders

UNECE May 2010 Percentage of error records by type – lender A

UNECE May 2010 Percentage of error records by type – lender B

Data quality issues (2) Exclude records/variables/lenders Different model specifications Imputation of missing values Bilateral discussion and reporting arrangements necessary UNECE May 2010

Collapse in Irish Housing Market 80% fall in 3 years (value and volume)  fine stratification approach unfeasible decline not uniform between lenders change in market composition  6 of 11 lenders now account for 95% of new business target our efforts? UNECE May 2010

Conclusion Index development is progressing Data should not be assumed to be of homogeneous quality Flexibility is required Index design must cope with market collapse UNECE May 2010