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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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Dwelling services in the icp 2011 l.jpg

Dwelling Servicesin the ICP 2011

  • Operational Material


Outline l.jpg

Outline

  • Topics to be covered

    • Introduction to Housing

    • Data Sources

    • Data Requirements

    • Survey Forms

    • Validation Process

    • Timeline


Introduction l.jpg

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


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Housing Basic Headings


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Data Sources

Expenditures

PPPs

Rental

Rental Survey

Rental Survey

Owner-occupied

Rental Equivalents

Rental Survey

User Cost Method

Quantity or Direct Volume Method


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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.


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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


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Rental Survey Form

GLOBAL SPECIFICATIONS

OBSERVATIONS

Reference: ICP Operational Materials (website)


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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


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Dwelling Services Questionnaire

MANDATORY FOR ALL COUNTRIES

Reference: ICP Operational Materials (website)


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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)


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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


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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


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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


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Rental Survey Form

GLOBAL SPECIFICATIONS

AVG.RENTS

Reference: ICP Operational Materials (website)


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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)


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THANK YOU


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