There is an urgent policy need for regional (subnational) estimates for assessing regional policies and programmes. Often regional indicators, in particular those concerning poverty and social exclusion, have to be derived from surveys with sample size and design determined primarily to serve estimation at the national level. In the specific context of EU-SILC surveys and the Headline Indicator at-risk-of-poverty or social exclusion (AROPE) and its components defined by European Commission, this paper aims to contribute to the methodology for constructing such indicators at the regional level. The main difficulty arises from the smallness of regional samples in national surveys. The paper focuses on two related issues: identifying procedures potentially useful for improving sampling precision of regional estimates; and improving the precision of sampling error estimates of regional statistics based on small but complex samples. In addition to some results presented for a large number of OECD countries, more detailed numerical illustration is provided for two countries (Austria and Spain) based on EU-SILC data.

Verma, V., Lemmi, A., Betti, G., Gagliardi, F., Piacentini, M. (2017). How precise are poverty measures estimated at the regional level?. REGIONAL SCIENCE AND URBAN ECONOMICS, 66, 175-184 [10.1016/j.regsciurbeco.2017.06.007].

How precise are poverty measures estimated at the regional level?

Verma, Vijay;Lemmi, Achille;Betti, Gianni
;
Gagliardi, Francesca;
2017-01-01

Abstract

There is an urgent policy need for regional (subnational) estimates for assessing regional policies and programmes. Often regional indicators, in particular those concerning poverty and social exclusion, have to be derived from surveys with sample size and design determined primarily to serve estimation at the national level. In the specific context of EU-SILC surveys and the Headline Indicator at-risk-of-poverty or social exclusion (AROPE) and its components defined by European Commission, this paper aims to contribute to the methodology for constructing such indicators at the regional level. The main difficulty arises from the smallness of regional samples in national surveys. The paper focuses on two related issues: identifying procedures potentially useful for improving sampling precision of regional estimates; and improving the precision of sampling error estimates of regional statistics based on small but complex samples. In addition to some results presented for a large number of OECD countries, more detailed numerical illustration is provided for two countries (Austria and Spain) based on EU-SILC data.
2017
Verma, V., Lemmi, A., Betti, G., Gagliardi, F., Piacentini, M. (2017). How precise are poverty measures estimated at the regional level?. REGIONAL SCIENCE AND URBAN ECONOMICS, 66, 175-184 [10.1016/j.regsciurbeco.2017.06.007].
File in questo prodotto:
File Dimensione Formato  
RSUE_66_2017pp. 175-184.pdf

non disponibili

Tipologia: PDF editoriale
Licenza: NON PUBBLICO - Accesso privato/ristretto
Dimensione 336.65 kB
Formato Adobe PDF
336.65 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
RSUE_accepted manuscript 8 July 2017.pdf

accesso aperto

Tipologia: Post-print
Licenza: Creative commons
Dimensione 1.11 MB
Formato Adobe PDF
1.11 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/1034995