Title
Integrated Labor Market Panel Surveys, ILMPS, Egy-1988-1998-2006-2012-2018-2023, Jor-2010-2016,Tun-2014, and Sdn-2022
Series information
The ILMPS is a data set that integrates and harmonizes data and variables from five rounds of the Egypt Labor Market Survey (in years 1988, 1998, 2006,2012, 2018, and 2023), two rounds of the Jordan Labor Market Survey (in years 2010 and 2016), the 2014 Tunisia Labor Market Survey, and the 2022 Sudan Labor Market Survey. It contains created, compatible variables that are harmonized (to the extent possible) across all rounds.
Abstract
The Economic Research Forum (ERF) has undertaken a number of labor market panel surveys (LMPSs) across countries and time. This data set integrates (harmonizes) these surveys, including:
· The 1988 special round of the Labor Force Sample Survey (LFSS)
· The 1998, 2006, 2012, 2018, and 2023 rounds of the Egypt Labor Market Panel Survey (ELMPS)
· The 2010 and 2016 rounds of the Jordan Labor Market Panel Survey (JLMPS)
· The 2014 round of the Tunisia Labor Market Panel Survey (TLMPS)
· The 2022 round of the Sudan Labor Market Panel Survey (SLMPS)
The harmonization is designed to create comparable data that can facilitate cross-country and comparative research. All the surveys incorporate similar survey designs, with data on households and individuals within those households. Most incorporate a specific questionnaire on household enterprises and migrants. Not all variables from the original surveys are included in the integrated surveys, but work is ongoing to add further variables. Future survey rounds will also be integrated.
The Integrated Consumption and Poverty Estimates for the Labor Market Panel Surveys are an extension of the Labor Market Panel Surveys (LMPSs), providing consumption estimates for households included in the LMPSs. Per capita consumption is modeled based on contemporaneous Household Income, Expenditure, and Consumption Surveys (HIECSs) and overlapping variables for each country and round. As well as predicted consumption from the underlying models, 100 iterations of the imputation that recover the original variance are provided. Consumption can also be compared to poverty lines to estimate the incidence of poverty. To get correct estimates of poverty and inequality statistics or any other outcomes related to consumption, it is necessary to bootstrap across the 100 iterations.
Data are designed to be merged with the Integrated Labor Market Panel Survey (ILMPS) data also available from the ERF data portal. Estimates are included for Egypt's 1998, 2006, and 2012 rounds, along with the Jordan 2010 and Tunisia 2014 LMPSs.
The sample is households from the Egypt 1998, 2006, 2012, Jordan 2010, and Tunisia 2014 rounds of the LMPSs. However, when missing data on one or more variables precluded inclusion of a household in the consumption model, it was excluded from the data.
For further details, see Caroline Krafft, Ragui Assaad, Hanan Nazier, Racha Ramadan, Atiyeh Vahidmanesh & Sami Zouari (2019) Estimating poverty and inequality in the absence of consumption data: an application to the Middle East and North Africa, Middle East Development Journal, 11:1, 1-29, DOI: 10.1080/17938120.2019.1583493;
https://www.tandfonline.com/doi/abs/10.1080/17938120.2019.1583493
A working paper version is available among the external resources.