Pandolfi, Lorenzo (2017) Public Policies and Incentives in Banking and Education. [Tesi di dottorato]

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Item Type: Tesi di dottorato
Lingua: English
Title: Public Policies and Incentives in Banking and Education
Creators:
CreatorsEmail
Pandolfi, Lorenzolorenzo.pandolfi@hotmail.it
Date: 10 April 2017
Number of Pages: 99
Institution: Università degli Studi di Napoli Federico II
Department: Scienze Economiche e Statistiche
Dottorato: Economia
Ciclo di dottorato: 29
Coordinatore del Corso di dottorato:
nomeemail
Graziano, Maria Gabriellamgrazian@unina.it
Tutor:
nomeemail
Pagano, MarcoUNSPECIFIED
Date: 10 April 2017
Number of Pages: 99
Uncontrolled Keywords: Banking; Education Economics; Bailouts; Political Connections; Incentives; Academic Productivity
Settori scientifico-disciplinari del MIUR: Area 13 - Scienze economiche e statistiche > SECS-P/01 - Economia politica
Area 13 - Scienze economiche e statistiche > SECS-P/06 - Economia applicata
Area 13 - Scienze economiche e statistiche > SECS-P/11 - Economia degli intermediari finanziari
Date Deposited: 19 Apr 2017 10:16
Last Modified: 08 Mar 2018 10:44
URI: http://www.fedoa.unina.it/id/eprint/11605
DOI: 10.6093/UNINA/FEDOA/11605

Abstract

The empirical analysis of the effects of government policies on the incentives of economic agents is the leitmotif of the present thesis, with two distinct fields of application. While the first essay mostly contributes to the empirical banking literature, with a focus on the link between implicit guarantees for bank debt and political connections in Europe, the second one contributes to the field of education economics and is devoted to an analysis of the effects of bibliometric-based hiring and promotion schemes in Italian public universities on scholars’ productivity. The two essays also share some methodological affinities. First, the two projects exploit two different identification strategies that have the common ambition of isolating and estimating a causal effect of public policies on the outcomes of interest. Second, the two works are characterized by the use of two original datasets, that have been obtained merging multiple sources of data, some of them pre-existing and others that have been hand-collected. Finally, the two essays share the novelty of the research questions they aim to answer, which are relatively unexplored by the existing literature.

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