scholarly journals Timor‐Leste economic survey: The end of petroleum income

2021 ◽  
Author(s):  
Charles Scheiner
Keyword(s):  
Timor Leste ◽  
Economic Survey

scholarly journals The socio-economic survey on Atauro Island and Liquica Village, Timor Leste

2019 ◽  
Vol 241 ◽  
pp. 012004 ◽  
Author(s):  
Y Wahyudin ◽  
M Welly ◽  
C Dos Santos ◽  
M R Pahlevi ◽  
Mahipal
Keyword(s):  
Timor Leste ◽  
Economic Survey

Monitoring water, sanitation, and hygiene (WASH) programmes in Timor-Leste with time-stamped, geo-coded images

Waterlines ◽  
2012 ◽  
Vol 31 (4) ◽  
pp. 293-305 ◽  
Author(s):  
Emily Christensen Rand ◽  
Crispen Wilson ◽  
Jessica Mercer
Keyword(s):  
Sanitation And Hygiene ◽  
Timor Leste ◽  
Coded Images

Economic Survey of the Far East

1962 ◽  
Vol 18 (4) ◽  
pp. 41-43
Author(s):  
Carl L.A. Beckers
Keyword(s):  
Far East ◽  
The Far East ◽  
Economic Survey

Wage disparities between high and low wage cities with and without the cost of living within Punjab and Sindh: An application of Oaxaca-Blinder using PSLM with HIES

2020 ◽  
Vol 4 (4) ◽  
pp. 1-14
Author(s):  
Farrukh Mahmood ◽  
Shumaila Hashim ◽  
Uzma Iram ◽  
Muhammad Zubair Chishti
Keyword(s):  
Estimation Method ◽  
Living Standards ◽  
Wage Dispersion ◽  
Cost Of Living ◽  
Wage Policy ◽  
Essential Component ◽  
Sindh Province ◽  
Economic Survey ◽  
The Cost ◽  
Wage Disparities

Wage disparities research hardly incorporate for the cost of living differences due to data restriction, while the wage disparity issue is the crucial area of economist interest. The study aims to examine the wage disparities between high and low wage cities for Punjab and Sindh province of Pakistan with and without the cost of living, deploying the data of Pakistan Social and Living Standards Measurement Survey (PSLM) with Household Integrated Economic Survey (HIES) for 2005, 2007, 2010, and 2013. Applying the Oaxaca-Blinder estimation method, the findings infer that wage dispersion is high without the cost of living model for both provinces (Punjab and Sindh) as compared to with cost of the living model. Moreover, the results reveal that the wage dispersion is greater in Punjab province than Sindh province. For policymakers, our study suggests that the cost of living is an essential component of the wage dispersion in Pakistan’s cities; it should be considered while formulating for wage policy.

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