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Dwelling Services in the ICP 2011

Dwelling Services in the ICP 2011. Operational Material. Outline. Topics to be covered Introduction to Housing Data Sources Data Requirements Survey Forms Validation Process Timeline. Introduction. Estimating household expenditure on dwelling services in the GDP .

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Dwelling Services in the ICP 2011

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  1. Dwelling Servicesin the ICP 2011 • Operational Material

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

  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. Housing Basic Headings

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

  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? YES YES NO No NO <THE USER COST METHOD> Obtain expenditure weights by: - estimating actual rents paid for rented dwellings - applying the user cost method for owner-occupied dwellings. YES <THE STANDARD APPROACH> Obtain expenditure weights by: - estimating actual rents paid for rented dwellings; - imputing rents for owner-occupied dwellings using rents actually paid for similar dwellings.

  7. Data Requirement Method Rentals Quantity Method Survey Form Rental survey form Dwelling services questionnaire Global Specifications • 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) Data to be provided • Yearly rent (LCU) • Location (urban/rural) • Comments • Quantity info according to dwelling type, construction type and location

  8. Rental Survey Form GLOBAL SPECIFICATIONS OBSERVATIONS Reference: ICP Operational Materials (website)

  9. Data Requirement Method Rentals Quantity Method Survey Form Rental survey form Dwelling services questionnaire Global Specifications • 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) Data to be provided • Yearly rent (LCU) • Location (urban/rural) • Comments • Quantity info according to dwelling type, construction type and location

  10. Dwelling Services Questionnaire MANDATORY FOR ALL COUNTRIES Reference: ICP Operational Materials (website)

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

  12. Intra-country Validation 1 Rents Data Rents and metadata to be added to the validation tool (excel) Step 1 Rents and metadata to be checked for errors and discrepancies Step 2 Step 3 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 Step 4 Rents to be checked for temporal plausibility based on NCA’s market knowledge • Between collection periods (seasonal variability) • Between the 2005 and 2011 rounds

  13. Intra-country Validation 2 Number of occupants divided by number of dwelling units needs to be plausible Totals should be equal Number of units with inside water is generally higher than number of units with private toilet

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

  15. Rental Survey Form GLOBAL SPECIFICATIONS AVG.RENTS Reference: ICP Operational Materials (website)

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

  17. THANK YOU

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