Home / Central Data Catalog / ECONOMIC-ENVIRONMENT / PSE-PCBS-EES-2006-V1.0 / variable [V28]
Economic-Environment

Environmental Economic Survey, 2006

West Bank and Gaza, 2004
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Reference ID
PSE-PCBS-EES-2006-V1.0
Producer(s)
Palestinian Central Bureau of Statistics
Collections
Economic Environment
Metadata
DDI/XML JSON
Created on
Sep 14, 2020
Last modified
Sep 14, 2020
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Unit of second component (es15_2_u)

Data file: Environmental Economic Survey Mains, 2006

Overview

Valid: 47
Valid (weighted): 1084.755
Invalid: 3242
Invalid (weighted): 80711.107
Minimum: 2
Maximum: 4
Mean: 2.085
Mean (weighted): 2.03
Standard deviation: 0.408
Standard deviation (weighted): 0.242
Type: Discrete
Decimal: 0
Width: 1
Range: 2 - 4
Format: Numeric
Weighted variable: V58

Questions and instructions

Literal question
Unit of second component
Categories
Value Category Cases Weighted
1 Ton 0 0
0%
2 Kgm 45 1069
1.3%
3 Cubic meter 0 0
0%
4 Liter 2 16
0%
Sysmiss 3242 80711
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

Description

Universe
All the Palestinian economic establishments, which included in the Economic Series Survey sample in the Palestinian Territory.
Source of information
Economic Establishments

Imputation and derivation

Imputation
The data was collected between 15/03/2006 and 01/06/2006, the reference period during the data collection process was February 2006 for all the data except the periodicity of the solid waste collection, the reference period was the last week of the fieldworker existence in the establishment

Others

Security
Two types of errors affect the quality of survey data; sampling and non sampling errors. The sampling errors are measurable, however the non-sampling errors could not be determined easily due to the diversity of sources (e.g. the interviewers, respondent, editor, data entry operator... etc).

However, several measures were adopted to minimize the effects of these errors. The interviewers, editors and coders had undergone intensive training and were provided with fieldwork manuals to consult when facing any problem.

The data entry program was designed in a way that allows error detection and correction. This applies particularly to logical errors that might not be discovered before data entry operations. A consistency check was also performed to assure accuracy after data entry.
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