Table 2

Employment outcomes and asset holdings in prewar Syria and Turkey

Prewar SyriaTurkey
EmployedWage WorkerEmployedWage Worker
A. Employment Outcomes     
 Men (aged 18–59) .818 .522 .699 .618 
 Married men (aged 18–59) .932 .581 .671 .593 
 Women (aged 18–49) .163 .110 .082 .069 
B. Asset Holdings     
 Own a house .779 .005 
 Has a car .160 .029 
 Has a washing machine .950 .845 
 Has a dishwasher .038 .014 
 Has a computer .138 .063 
Prewar SyriaTurkey
EmployedWage WorkerEmployedWage Worker
A. Employment Outcomes     
 Men (aged 18–59) .818 .522 .699 .618 
 Married men (aged 18–59) .932 .581 .671 .593 
 Women (aged 18–49) .163 .110 .082 .069 
B. Asset Holdings     
 Own a house .779 .005 
 Has a car .160 .029 
 Has a washing machine .950 .845 
 Has a dishwasher .038 .014 
 Has a computer .138 .063 

Notes: The prewar Syria data on employment outcomes and for house and car ownership come from the 2009 SFHS; the data on prewar washing machine, dishwasher, and computer ownership come from the 2006 SMICS. The prewar Syria data are weighted by the fraction of Syrians in Turkey who originated from each of 14 Syrian provinces. The data for Turkey come from the 2018 TDHS-S. We impute the fraction employed for the total men sample. The employment data in this sample include only wage employment for the total male sample. However, for married men (partners of the target sample of females aged 15–49), both employment and wage employment data exist. We first calculate the fraction of wage earners among employed married men. Then, assuming that this fraction is the same for married men and all men, we impute the fraction of employed men for the total male sample. Sample weights are used.

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