TH
6
Western Asian ICP Workshop
GOVERNMENT COMPENSATION
January 21 - 27, 2013
Istanbul, Turkey
1
2011 ICP Government Compensation
Session Outline
Introduction

Overview of Validation Steps
IntraCountry

Review of Country Submissions

Intra-Country Analysis

Analysis of 1st QTs
InterCountry
2
Overview of Validation Steps
3
Validation Process
Data Compilation (Annual Data)
NATIONAL LEVEL (Intra-Country Validation)
1
Initial Data Validation
Finalization of Data
Data Transmission NCA  RCA
REGIONAL LEVEL (Inter-Country Validation)
Initial Data
2 Validation
Analytical Tables
Temporal
Analysis
3
Finalization of Data
PPPs, PLIs, etc.
Data Transmission RCA  GO
GLOBAL LEVEL
4
Validation Steps(1)
1. NATIONAL Initial Data Validation
Step1:
Add remunerations and
metadata to data collection tool
Step3:
Check that remunerations are plausible within the same occupation
Step2:
Check added codes and metadata
for errors and discrepancies
a. Within the same level of experience
b. With different levels of experience
• Usually one observation per occupation
• Sometimes different salary scales in different
local governments
• Usually, remunerations increase as
experience increases
e.g.
Database administrator
(Municipal A, 5-year experience)
e.g.
Hospital doctor
(0 year of experience)
Database administrator
(Municipal B, 5-year experience)
Step4:
35,256
74,662
Hospital doctor
(10 years of experience)
50,653
45,367
Check that remunerations are plausible between related occupations
<Within the same level of experience>
e.g. 1
Hospital Doctor (5 years)
Hospital Nurse (5 years)
62,556
75,698
e.g. 2
Hospital Doctor (0 year)
Hospital Nurse (20 years)
62,556
65,698
5
Validation Steps(2)
1. NATIONAL Initial Data Validation – cont’d
Step5:
Check that remunerations are temporally plausible by comparing them to
previous ICP round
ICP 2011
ICP 2005
Code
Occupation
Code
Occupation
32
Firefighter
215
Fire Fighter
33
Policeman/woman
213
Policeman/woman
34
Prison guard
214
Prison Guard
35
Driver (general duty)
221
Chauffeur
36
Office cleaners
212
Cleaner
38
Messengers
209
Messenger
Step6:
Compare remuneration data and expenditure data by using structure
indicators. (Remuneration x Employment  Expenditure)
Step7:
Analyze price data and metadata for flagged cases
6
Validation Steps(3)
2. REGIONAL Initial Data Validation
Step1:
Add remunerations and metadata to data validation tool
Step2:
Re-base data from all the countries to reference hours worked
e.g.
Country
Remuneration
Regular Hours worked
per week
Actual Hours Worked per
week
Never land
60,000
32
25
Timberland
70,000
40
60
Re-base
Country
Remuneration
Rebased on Regular
Hours (40 hours)
Rebased on Actual Hours
(40 hours)
Never land
60,000 (a)
{(a)/32}*40 = 75,000
{(a)/25}*40 = 96,000
Timberland
70,000 (b)
{(b)/40}*40 = 70,000
{(b)/60}*40 = 46,667
*Recommended to use “actual hours” if information is available.
Step3:
Convert remunerations in local currency into base currency using
annual average exchange rate
7
Validation Steps(4)
2. REGIONAL Initial Data Validation – cont’d
Step4:
Check that remunerations are plausible within a country
e.g. University teacher < Firefighter
e.g. Primary school teacher
> Secondary school teacher
County A
10 University teacher
12 Primary school teacher
13 Secondary school teacher
16 Database administrator
30 Building caretaker
32 Firefighter
33 Policeman/woman
34 Prison guard
35 Driver (general duty)
36 Office cleaners
Step5:
County B
County C
County D
County E
9,086
16,182
17,109
28,697
35,387
1,214
4,652
5,108
9,920
25,562
1,959
5,259
4,221
4,221
14,313
26,960
1,400
17,396
3,799
4,744
23,362
965
5,947
1,931
2,542
8,605
560
560
7,569
18,199
18,199
4,660
13,719
1,380
8,235
3,257
5,422
12,501
836
2,457
3,820
5,422
13,918
999
4,308
2,531
3,558
8,024
965
3,499
1,858
3,558
8,595
Check that remunerations are plausible for a remuneration across
the countries
e.g. 560 in country A could be too small. 18,199 in country C would be too large.
Step6:
Check that remunerations are temporally plausible by comparing
them to previous ICP round
Step7:
Analyze price data and metadata for flagged cases
8
Validation Steps(5)
3. REGIONAL Analytical Tables  Temporal Analysis
As same as HHC, analysis using
Tables make it possible to
conduct detailed comparisons.
iteration
PPPs, PLI, C.V., CUP ratio, etc.
• Quaranta Tables
• Dikhanov Tables
• Temporal Analysis – with data
from previous round
Analytical Tables
9
Review of Country Submissions
10
Intra-Country Analysis
11
Inter-Country Analysis
 Analysis of 1st QTs
12
13