International Comparison of Consumer Debts - Part 6

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17th May 2017

Appendix
Bibliography

Appendix

The following Table lists variables used, with sources & original names:

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Table 1

Variable name	Label/description (old name)	Source
mergeid	person identifier (fix across modules and waves)	SHARE
mergeid_num	person identifier (fix across modules and waves)	generated
wave		SHARE
wave_num		generated
wavepart	wave participation pattern	Easyshare
hhid	household (fix across modules and waves)	SHARE
country	country identifier	SHARE
female	gender: female=1, male=0	Easyshare
marital_status	marital status (dn014_ marital_status)	SHARE
age	age at interview (in years)	Easyshare
hhsize	household size	SHARE
education_level*	education of respondent in ISCED-97 Coding (isced_r)	Easyshare
eduyears_mod	years of education	Easyshare
employment_status*	current job situation (ep005_ employment status)	SHARE
income_pct*	Income Percentile	Generated/ Easyshare
has_bank_acc	(as002d1 ) savings/investments: bank accounts, transaction accounts or saving ac	SHARE
home_ownership	owner, tenant or rent free (ho002_)	SHARE
num_cars	number of cars (as049_)	SHARE
amount_bank_account	amount bank account (as003e)	SHARE
owe_money	Owes money (1- as054dn0)	SHARE/ generated
amount_owed	amount owing money in total (as055e amount_owed)	SHARE
earning_before_taxes	earnings per year before taxes from employment	SHARE
total_income_other_hh_members	total income (other) household members (hh002e total_income_other_hh_members)	SHARE
highest_educ_degree	highest educational degree obtained (dn010_ )	SHARE
* We have taken the standardized education categories from Easyshare, and recoded & combined some categories, so that there are now the following cats; education_level 0 none education_level 1 Primary/LowerSecondary education_level 2 (Upper)secondary education_level 3 Post-secondary Similarly, for employment_status, the categories are: employment_status 1 retired employment_status 2 employed employment_status 3 unemployed employment_status 4 disabled employment_status 5 homemaker income_pct is generated by combining the wave-wise percentiles in Easyshare

Table 2

Details on availability of data

Variables with most missing are highlighted in red

Bibliography

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