1. Operational Material

2. 2 Outline Topics to be covered Introduction to Housing Data Sources Data Requirements Survey Forms Validation Process Timeline

3. 3 Introduction Estimating household expenditure on dwelling services in the GDP Calculating PPPs for dwelling services HOUSING Rentals Owner-occupied Actual expenditure by households on rents for dwellings Estimate of how much owner- occupiers would have paid in rent if not owning their dwellings

4. 4 Housing Basic Headings CodeBasic Heading 110400Housing, Water, Electricity, Gas and Other Fuels 1104111Actual and imputed rentals for housing 1104311Maintenance and repair of the dwelling 1104411Water supply 1104421Miscellaneous services relating to the dwelling 1104511Electricity 1104521Gas 1104531Other fuels …… 130100Housing 1301111Housing

5. 5 Data Sources Rental Owner-occupied Expenditures PPPs Rental Survey Rental Equivalents User Cost Method Rental Survey Quantity or Direct Volume Method

6. 6 6 Choosing Methods to Apply Are more than 25% of dwellings rented? Are most rented dwellings either occupied by its citizens and not subsidized? Are rented dwellings distributed evenly throughout the country? Obtain expenditure weights by: - estimating actual rents paid for rented dwellings - applying the user cost method for owner-occupied dwellings. Obtain expenditure weights by: - estimating actual rents paid for rented dwellings - applying the user cost method for owner-occupied dwellings. Obtain expenditure weights by: - estimating actual rents paid for rented dwellings; - imputing rents for owner-occupied dwellings using rents actually paid for similar dwellings. Obtain expenditure weights by: - estimating actual rents paid for rented dwellings; - imputing rents for owner-occupied dwellings using rents actually paid for similar dwellings. NO No NO YES

7. 7 Data Requirement Rentals Quantity Method Rental survey formDwelling services questionnaire  Dwelling types (e.g. villa/ single-family house)  Size  Electricity  Inside water  Private toilet  A/C or central heating  Structure Age  Number of dwelling units  Number of rooms  Number of occupants  Quality Information including electricity, inside water, and private toilet  Percent of dwelling units (rented/owner-occupied)  Yearly rent (LCU)  Location (urban/rural)  Comments  Quantity info according to dwelling type, construction type and location Method Survey Form Global Specifications Data to be provided

8. 8 Rental Survey Form Reference: ICP Operational Materials (website) OBSERVATIONS Dwelling type Size (m 2 ) ElectricityInside water Private toilet Private kitchen AC/ central heating Structure age Yearly rent (LCU) Location (urban/ rural) Less than 5 yrs More than 5 yrs Villa/single- family house 120-180yes X Villa/single- family house 120-180yes X Villa/single- family house 120-180yes no X Villa/single- family house 120-180yes no X … Attached house 80-120yes X Attached house 80-120yes X GLOBAL SPECIFICATIONS

9. 9 Data Requirement Rentals Quantity Method Rental survey formDwelling services questionnaire  Dwelling types (e.g. villa/ single-family house)  Size  Electricity  Inside water  Private toilet  A/C or central heating  Structure Age  Number of dwelling units  Number of rooms  Number of occupants  Quality Information including electricity, inside water, and private toilet  Percent of dwelling units (rented/owner-occupied)  Yearly rent (LCU)  Location (urban/rural)  Comments  Quantity info according to dwelling type, construction type and location Method Survey Form Global Specifications Data to be provided

10. 10 Dwelling Services Questionnaire Reference: ICP Operational Materials (website) All dwellingsTypes of constructionLocation HousesFlatsTotalModernTraditionalTotalUrbanRuralTotal Number of dwelling units Number of rooms Usable surface area Number of occupants Land area occupied by dwellings Number of dwelling units with: Electricity (‘000s) Inside water (‘000s) Private toilet (‘000s) Central heating Air conditioning Percent of dwelling units: Rented Owner-occupied MANDATORY FOR ALL COUNTRIES

11. 11 Overall Validation Process Rents (multiple times in a year) Quantity Data (once a year) Data Compilation National Level (Intra-country Validation) Regional Level (Inter-country Validation) Global Level (Inter-country Validation Across Regions) Initial data validation Finalization of data Initial data validation Finalization of Data Analytical Tables (QT/DT) only rents data Analytical Tables (QT/DT) only rents data Temporal Analysis

12. 12 Intra-country Validation 1 Rents Data Rents and metadata to be added to the validation tool (excel) Rents and metadata to be checked for errors and discrepancies Rents to be checked for sub-national plausibility based on NCA’s market knowledge Sub-national comparison between rents with similar specifications e.g. rents in the capital city < rents in rural area  Populous regions generally have higher rents given similar specs Rents to be checked for temporal plausibility based on NCA’s market knowledge  Between collection periods (seasonal variability)  Between the 2005 and 2011 rounds Step 1 Step 2 Step 3 Step 4

13. 13 Intra-country Validation 2 All dwellingsTypes of constructionLocation HousesFlatsTotalModernTraditionalTotalUrbanRuralTotal Number of dwelling units Number of rooms Usable surface area Number of occupants Land area occupied by dwellings Number of dwelling units with: Electricity (‘000s) Inside water (‘000s) Private toilet (‘000s) Central heating Air conditioning Percent of dwelling units: Rented Owner-occupied Totals should be equal Number of occupants divided by number of dwelling units needs to be plausible Number of units with inside water is generally higher than number of units with private toilet

14. 14 Inter-country validation Rents Data Quantity Data Convert rents in LCU to rents in common currency Similar validation as basic editing from the intra-country process Analytical Tables (QT, DT) Temporal Analysis for Annual Data Step 1 Step 2 Step 3 Together with Expenditure data, calculate Volume measure and check plausibility Together with Expenditure data, calculate Volume measure and check plausibility Step 4 Compare both results Step 5 Evaluation of completeness of Quality Indicators Calculate quality-adjusted volume Together with Expenditure data, calculate Indirect PPPs and check plausibility Together with Expenditure data, calculate Indirect PPPs and check plausibility

15. 15 Rental Survey Form Reference: ICP Operational Materials (website) AVG.RENTS Dwelling type Size (m 2 ) ElectricityInside water Private toilet Private kitchen AC/ central heating Structure age Country X Average Yearly Rents Less than 5 yrs More than 5 yrs Urban RuralNat’l Villa/single- family house 120-180yes X Villa/single- family house 120-180yes X Villa/single- family house 120-180yes no X Villa/single- family house 120-180yes no X … Attached house 80-120yes X Attached house 80-120yes X GLOBAL SPECIFICATIONS

16. 16 Timeline 2011 2012 J J F F M M A A M M J J J J A A S S O O N N D D J J F F M M A A M M J J J J A A S S O O N N D D J J D D 1Q Rents Quantity Data (latest year) 4Q Quantity Data (2011)

17. 17 THANK YOU