Année : 2019

 » Eco-innovative firm entry and knowledge spillovers : evide,ce for french departments »

Mardi | 2019-12-10 B103 16h 17h20 This paper analyses the relationship between a set of knowledge indicators capturing the degree of variety of the local knowledge base focusing on environmental based patents’ technological combinations and the creation of innovative firms specialised in the environmental field in France. Based on a firm-level microdata from DIANE (Bureau van Dijk) and patents information from the OECD REGPAT (2018) database for the period 2003 and 2013, main results show that unrelated knowledge variety for […]

Infrastructure aid for resource trade? The crossroads of strategy and sustainable development

Mardi | 2019-12-03 Salle des thĂšses 16h – 17h20 Hendrik KRUSE – Thais NUNEZ-ROCHA – CamĂ©lia TURCU In this paper, we investigate the claim that rich countries use development aid to ensure access to natural resources. We provide a theoretical model that suggests that even an altruistic donor may be inclined to allocate a higher share of their aid expenditure on infrastructure and other trade promoting measures if they rely on the recipient’s resource exports for their own production. We […]

L’Institut orlĂ©anais de finance, ancĂȘtre du LEO, et son rĂŽle prĂ©curseur dans la (rĂ©)introduction de l’économie financiĂšre parmi les Ă©conomistes français

Mardi | 2019-11-26 Salle des thĂšses 16h – 17h20 Franck JOVANOVIC Le sĂ©minaire a pour objectif de montrer le rĂŽle prĂ©curseur du LEO, et en particulier de Georges Gallais-Hamonno, dans l’introduction de l’économie financiĂšre en France parmi les Ă©conomistes français au milieu des annĂ©es 1970. L’Institut orlĂ©anais de finance, ancĂȘtre du LEO, est en effet le premier laboratoire français Ă  une Ă©poque oĂč cette discipline est dĂ©laissĂ©e par les Ă©conomistes français, laissant le champ libre aux gestionnaires français pendant plus […]

 » Fraud detection using analytics « 

Mardi | 2019-11-05 Salle des thĂšses 16h-17h20 Financial institutions increasingly rely on predictive machine learning models to detect fraudulent transactions. Two main challenges when building a supervised tool for fraud detection are the imbalance or skewness of the data and the various costs for different types of miscalissification. We discuss techniques to solve the imbalance issue and present a cost-sensitive logistic regression algorithm.

The composition of public expenditures, fiscal rules and economic growth

Mercredi | 2019-10-24 Salle B103 – 12h00 TobignarĂ© YABRE This paper analyses the growth effect of various components of public expenditure in interaction with numerical fiscal rules. We estimate a dynamic panel model for 92 developed and developing countries using a Generalized Method of Moments (GMM) technique. We provide a more systematic empirical evidence than available hitherto defending that the adoption of a fiscal rule generates a shift on the composition of government expenditure that may increase the growth rate. […]

Confidence as a vector of financial contagion: how does it work, and how much does it matter?

Mardi | 2019-10-22 Salle des thĂšses 16h – 17h20 We provide a bank-run model in which confidence is proxied by the noise around the estimation by depositors of the distribution of the asset portfolio of their bank in t = 0. The probability that a bank i experiences a run in t = 1 depends on the realized returns of the other banks due to informational and balance sheet linkages between financial institutions. Low confidence is found to foster informational […]

Political monetary cycles: an empirical study

Mercredi | 2019-10-10 Salle B103 – 12h00 Hugo ORIOLA The literature dealing with the political impact on monetary authority is marked by an ongoing discussion. This paper aims to prove that politically induced cycles in the monetary policy called political monetary cycles (PMC) exist in reality. We find evidence that such a phenomenon is observable in both developed and developing countries. Moreover, this result is confirmed regardless the level of independence of the central bank. In addition, we examine if […]

Aggregate Effects of Budget Stimulus: Evidence from the Large Fiscal Expansions Database

Mardi | 2019-10-08 Salle des thĂšses 16h – 17h20 Colombe LADREIT DE LACHARRIĂšRE – JĂ©rĂ©mie COHEN-SETTON – Egor GORNOSTAY This paper estimates the effects of fiscal stimulus on economic activity using a novel database on large fiscal expansions for 17 OECD countries for the period 1960–2006. The database is constructed by combining the statistical approach to identifying large shifts in fiscal policy with narrative evidence from contemporaneous policy documents. When correctly identified, large fiscal stimulus packages are found to have […]

Evaluation empirique d’une rĂšgle de ciblage d’inflation pour la BEAC

Mercredi | 2019-09-26 Salle B103 – 12h00 Robert Christian Serge MEBENGA M’ENAM Nous nous proposons dans ce travail, d’estimer une rĂšgle opĂ©rationnelle de conduite permettant aux responsables de la BEAC de prĂ©server la stabilitĂ© des prix tout en limitant les Ă©carts du PIB par rapport Ă  sa cible. Pour ce faire, nous optimisons une fonction-objectif conforme au mandat de la BEAC. Nous dĂ©rivons ensuite le taux d’inflation optimal et effectuons des simulations sur le paramĂštre d’arbitrage entre la variabilitĂ© de […]

Under Attack: Terrorism and International Trade in France, 2014-16

Mardi | 2019-09-24 Salle des thĂšses 16h – 17h20 Isabelle RABAUD – VOLKER NITSCH Terrorist events typically vary along many dimensions, making it difficult to identify their economic effects. This paper analyzes the impact of terrorism on international trade by examining a series of three large-scale terrorist incidents in France over the period from January 2015 to July 2016. Using firm-level data at monthly frequency, we document an immediate and lasting decline in cross-border trade after a mass terrorist attack. […]