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Labor Market Panel Survey, ELMPS 2023

Egypt, Arab Rep., 2023
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Reference ID
EGY_ELMPS_2023_V2.1
Producer(s)
Economic Research Forum
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ERF Harmonized Datasets Labor Market Panel Surveys
Metadata
DDI/XML JSON
Created on
Oct 23, 2024
Last modified
Feb 16, 2025
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192891
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  • Study Description
  • Data Dictionary
  • Downloads
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  • Data files
  • elmps 2023 rep
    xs 88_23 v2.0
  • elmps 2023
    panel 98_23
    v2.0
  • elmps 2023 xs
    v2.0 all
Variable Groups
  • Identification
  • Basic Characteristics
  • Housing, Services, Facilities & Durable Goods
  • Residential Mobility
  • Parents' and Siblings' Characteristics
  • Health Issues
  • Education
  • Skills
  • Past Seven Days Subsistence & Domestic
  • Employment in the Past Seven Days
  • Unemployment
  • Employment in the Past Three Months
  • Characteristics of Main Job
  • Secondary Job
  • Job Mobility
  • Marriage, Fertility and Women Status
  • Female Paid Employment
  • Earnings from wage and salary employment
  • Characteristics of Return Migrants
  • Information Technology
  • Savings and Borrowings
  • Attitudes
  • Characteristics of current migrants
  • Transfers & Other Sources of Income
  • Shocks and Coping
  • Characteristics of all Non-Agricultural Enterprises
  • Characteristics of Agricultural Enterprises

Data Dictionary

Data file Cases Variables
elmps 2023 rep xs 88_23 v2.0
The elmps 2023 rep xs 88-23 v2.0.dta contains (only the created, compatible variables across time.)
• The data are long structure, observation is an individual & year combination

Important Variables:
==============
1- round: Identifies wave of survey (1988, 1998, 2006, 2012, 2018, 2023)
2- indid: unique individual identifier
3- hhid: unique household identifier


Note: Data is not self-weighted.
269818 665
elmps 2023 panel 98_23 v2.0
Panel data
========
Files: elmps 2023 panel 98_23 v2.0.dta

NOTE: The data are constructed as panel data (wide format) directly from the repeated cross section. Variables repeat as 'variable'_# where # is round, i.e. pn_98, pn_06, pn_12, pn_18, pn_23 for the person numbers in 1998, 2006, 2012, 2018 and 2023 for an individual. If an individual is not present in a round, the variables for that round will be missing.
Variables repeat as 'variable'_# where # is wave, i.e. pn_06, pn_23 for the person


Important Variables:
============
Findid: unique individual identifier from when individual was first observed
hhid_#: unique household identifier, begins with two-digit round number (88, 98, 06, 12)
indid_#: unique individual identifier, begins with two-digit round number (88, 98, 06, 12)
panel_wt_98_06: panel weight for analyzing panel data with individuals observed in 1998 and 2006
panel_wt_98_06_12: panel weight for analyzing panel data with individuals observed in 1998, 2006, and 2012
panel_wt_06_12: panel weight for analyzing panel data with individuals observed in 2006 and 2012
panel_wt_12_18: Panel weight for analyzing panel data with individuals observed in 2012 and 2018
panel_wt_12_18_23: Panel weight for analyzing panel data with individuals observed in 2012, 2018 and 2023
panel_wt_06_12_18: Panel weight for analyzing panel data with individuals observed in 2006, 2012 and 2018
panel_wt_06_12_18_23: Panel weight for analyzing panel data with individuals observed in 2006, 2012, 2018 and 2023
panel_wt_98_06_12_18: Panel weight for analyzing panel data with individuals observed in 1998, 2006, 2012 and 2018
panel_wt_98_06_12_18_23: Panel weight for analyzing panel data with individuals observed in 1998, 2006, 2012, 2018 and 2023
attr_98_06_12_18_23: categorizes individuals based on whether they were in 1998, 2006, 2012, 2018 and 2023



Note: Data is not self-weighted.
106637 2995
elmps 2023 xs v2.0 all
The file "elmps 2023 xs v2.0 all.dta" contains all variables.

"elmps 2023 xs v2.0 all.dta" data file contains more than 3,000 variables. If you are using STATA IC, this file has too many variables to open. Use "elmps 2023 xs v2.0 pt 1.dta" , "elmps 2023 xs v2.0 pt 2.dta" and "elmps 2023 xs v1.10 pt 3.dta" instead. If you can open a file with more than 3,000 variables, you can just use "elmps 2023 xs v2.0 all.dta."

Important Variables:
==============
1- indid: unique individual identifier
2- hhid: unique household identifier

Note: Data is not self-weighted.
70636 4501
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