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

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Tipologia del documento: Tesi di dottorato
Lingua: English
Titolo: Public Policies and Incentives in Banking and Education
Autori:
AutoreEmail
Pandolfi, Lorenzolorenzo.pandolfi@hotmail.it
Data: 10 Aprile 2017
Numero di pagine: 99
Istituzione: Università degli Studi di Napoli Federico II
Dipartimento: Scienze Economiche e Statistiche
Dottorato: Economia
Ciclo di dottorato: 29
Coordinatore del Corso di dottorato:
nomeemail
Graziano, Maria Gabriellamgrazian@unina.it
Tutor:
nomeemail
Pagano, Marco[non definito]
Data: 10 Aprile 2017
Numero di pagine: 99
Parole chiave: 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
Depositato il: 19 Apr 2017 10:16
Ultima modifica: 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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