We analyze the optimal regional pattern of public employment in an information-constrained second-best redistribution policy showing that regionally differentiated public employment can serve as an expenditure side tagging device, bypassing or relaxing the equity-effciency trade-off. The optimal pattern exhibits higher levels of public employment in low productivity regions and is more pronounced the higher is the degree of regional inequality within the country. Empirically, using a panel of European regions from 1995-2007, we find evidence that public employment is systematically higher in low productivity regions. The latter effect is stronger in countries with higher levels of regional inequality.
The Regional Distribution of Public Employment: Theory and Evidence / Kessing, Sebastian G.; Strozzi, Chiara. - In: REGIONAL STUDIES. - ISSN 1360-0591. - STAMPA. - 51:7(2017), pp. 1100-1114. [10.1080/00343404.2016.1156239]
The Regional Distribution of Public Employment: Theory and Evidence
STROZZI, Chiara
2017
Abstract
We analyze the optimal regional pattern of public employment in an information-constrained second-best redistribution policy showing that regionally differentiated public employment can serve as an expenditure side tagging device, bypassing or relaxing the equity-effciency trade-off. The optimal pattern exhibits higher levels of public employment in low productivity regions and is more pronounced the higher is the degree of regional inequality within the country. Empirically, using a panel of European regions from 1995-2007, we find evidence that public employment is systematically higher in low productivity regions. The latter effect is stronger in countries with higher levels of regional inequality.File | Dimensione | Formato | |
---|---|---|---|
SSRN-id2039635.pdf
Accesso riservato
Tipologia:
VOR - Versione pubblicata dall'editore
Dimensione
4.29 MB
Formato
Adobe PDF
|
4.29 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
VQR_The regional distribution of public employment theory and evidence.pdf
Open access
Tipologia:
VOR - Versione pubblicata dall'editore
Dimensione
1.03 MB
Formato
Adobe PDF
|
1.03 MB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris