Isabel Proença

Prof. Isabel Proença

Universidade de Lisboa, ISEG
+1
orcid

Research Focus & Metrics

Academic Career Length

35Years (1992-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2013 in Journal of Business Research
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Journal Article
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PJPedro Janeiro
Pedro Janeiro
Isabel ProençaIsabel Proença
Isabel Proença
VGVítor da Conceição Gonçalves
Vítor da Conceição Gonçalves

1 August 2009 in Papers in Regional Science
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Journal Article
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Nuno CrespoNuno Crespo
Nuno Crespo
MFMaria Paula Fontoura
Maria Paula Fontoura
Isabel ProençaIsabel Proença
Isabel Proença
This paper aims to establish whether geographical proximity between multinational and domestic firms is relevant to the occurrence of FDI spillovers, by considering both horizontal and vertical spillovers. Using data for Portugal, this hypothesis is confirmed. In the case of horizontal externalities, the impact is negative, probably due to the competition effect. Concerning vertical externalities, a positive impact through backward linkages is observed. Additionally, omission of the regional dimension provokes a bias on the estimation of the intra-sectoral effect at the national level. These results raise important implications for the economic policies aiming to attract FDI and promote regional development. Copyright (c) 2009 the author(s). Journal compilation (c) 2009 RSAI.

1 April 2005 in Journal of Conflict Resolution
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Journal Article
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CBCarlos Pestana Barros
Carlos Pestana Barros
Isabel ProençaIsabel Proença
Isabel Proença
This article estimates what characteristics (e.g., location, number of casualties, and type of attack) are associated with an Islamic terrorist attack. This is established by identifying the significant determinants of the probability that an attack had been carried out by Islamic terrorists. For Europe, the United States, and Canada, the analysis employs ITERATE (International Terrorism: Attributes of Terrorist Events) data from October 1979 to December 2002 to ascertain the significant characteristics of Islamic terrorist attacks. A random-parameter logit model is used to analyze the probability of such attacks, taking into account the heterogeneity of the sample data. This model outperforms the standard logit model. Some policy implications are presented.


1 January 2021 in Procedia Computer Science
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Journal Article
Open access
RARicardo Almeida
Ricardo Almeida
RARui Abrantes
Rui Abrantes
MRMário Romão
Mário Romão
Isabel ProençaIsabel Proença
Isabel Proença

30 November 2007 in Defence and Peace Economics
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Journal Article
Closed access
CBCarlos Pestana Barros
Carlos Pestana Barros
Isabel ProençaIsabel Proença
Isabel Proença
JFJoao Faria
Joao Faria
Luis Alberiko Gil-AlanaLuis Alberiko Gil-Alana
Luis Alberiko Gil-Alana
This paper analyzes the determinants of the probability of US citizens being victims of terrorist attacks in European countries, taking into account uncontrolled heterogeneity of the data. The analysis employs ITERATE data from February 1968 to December 2002 to ascertain significant characteristics that influence the probability (e.g. location, type of casualties, type of attack, and type of terrorists). To deal with the unobserved heterogeneity a random‐parameter logit model (mixed logit) is used. Some policy implications are presented.