Nadja Lamei
Biographic Data
| ID | 4263268 |
|---|---|
| NAME | Nadja Lamei |
| GIVEN NAMES | Nadja |
| FAMILY NAME | Lamei |
| SIGNATURE | LAMEI N |
| AFFILIATIONS | Statistics Austria |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 9 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2018 |
| H-INDEX | 1 |
Differences Between Household Income from Surveys and Registers and How These Affect the Poverty Headcount
We take advantage of the fact that for the Austrian SILC 2008-2011, two data sources are available in parallel for the same households: register-based and survey-based income data. Thus, we aim to explain which households tend to under- or over-report their household income by estimating multinomial logit and OLS models with covariates referring to the interview situation, employment status and socio-demographic household characteristics. Further…
Differences Between Household Income from Surveys and Registers and How These Affect the Poverty Headcount
We take advantage of the fact that for the Austrian SILC 2008-2011, two data sources are available in parallel for the same households: register-based and survey-based income data. Thus, we aim to explain which households tend to under- or over-report their household income by estimating multinomial logit and OLS models with covariates referring to the interview situation, employment status and socio-demographic household characteristics. Further…
Differences Between Household Income from Surveys and Registers and How These Affect the Poverty Headcount
We take advantage of the fact that for the Austrian SILC 2008-2011, two data sources are available in parallel for the same households: register-based and survey-based income data. Thus, we aim to explain which households tend to under- or over-report their household income by estimating multinomial logit and OLS models with covariates referring to the interview situation, employment status and socio-demographic household characteristics. Further…
Affect (linguistics (1 work) · Demographic economics (1 work) · Economic geography (1 work) · Economic growth (1 work) · Economics (1 work) · Gender, Labor, and Family Dynamics (1 work) · Geography (1 work) · Global Health Care Issues (1 work) · Household income (1 work) · Human geography (1 work)