Mardi | 2010-03-09 B103 S. G. KESSING – Chiara STROZZI – Camélia TURCU The regional distribution of public employment is affected bythe role of public employment for inter-regional redistribution.We provide a theoretical framework that highlights the logic ofsuch policies and analyze the empirical evidence. Our empiricalstudy considers the regional distribution of public employmentusing regional data from 19 European countries. Using OLS aswell as IV estimations, we find significant results that public employmentis higher in regions that are poor relative to […]

Mercredi | 2010-03-03 B103 Angela OLOSUTEAN

Mardi | 2010-02-23 B103 Yannick LUCOTTE – Grégory LEVIEUGE Over the last decade, a growing number of emerging market economies has adopted inflation targeting as monetary policy framework. In a recent paper, Freedman and Laxton (2009) ask the question “Why Inflation Targeting?”. This paper empirically investigates this question by analyzing a large set of institutional and political factors potentially associated with a country’s choice of IT in a sample of 50 emerging countries over the period of 1986-2005. Using a […]

Mardi | 2010-02-09 B103 Raphaëlle BELLANDO – Mohamed AROURI Ce travail s’intéresse à la mesure traditionnelle de mimétisme proposée par Lakonishok, Shleifer and Vishny (LSV) et remet en question sa construction. Frey, Herbst and Walter (2007) ont montré par des simulations de Monte Carlo que cet indicateur est biaisé en présence de mimétisme. Nous donnons uneexplication formelle à ce biais et proposons un indicateur corrigé de celui-ci. Nous examinons ensuite les propriétés de la nouvelle mesure proposée par Frey, Herbst […]

Mardi | 2010-02-02 B103 P. BAJGROWICZ – Olivier SCAILLET – libre We propose a technique to avoid spurious detection of jumps in highfrequency data via an explicit thresholding on available test statistics. Weprove that it eliminates asymptotically all spurious jumps. Monte Carloresults show that it performs also well in nite samples. Our empiricalinvestigation of Dow Jones stocks reveals that the spurious detections representup to 50% of the jumps detected initially. After eliminating the spuriousdetections with our method, the average number […]

Mercredi | 2010-01-27 B103 Olivia RICCI With a large recognition that anthropogenic greenhouse gases (GHG) have a real impact on climate change, we propose to understand better the role and importance of biomass carbon capture and geological storage (BCCS) in stabilizing GHG emissions. To date carbon capture and storage (CCS) is not deployed at a commercial level, therefore policy instruments could be used to provide adequate incentives to firms in order to abate pollution with a CCS technology. The objective […]

Mercredi | 2010-01-20 Sully 10 Audrey LAUDE La Capture et Stockage du Carbone est une technologie qui permet de séquestrer des émissions de CO2 issues de l’industrie dans des strates géologiques profondes. Appliquée à une source de biomasse comme dans le cas de la production de biocarburants, le BCSC peut permettre de créer des puits artificiels de carbone. Cependant, l’incertitude importante pesant sur le marché du carbone incite les investisseurs à différer leur décision dans l’attente d’une meilleure information. La […]

Mardi | 2010-01-19 Laurent CABOTTE – Rémi BAZILLIER

Mardi | 2009-12-08 Bertrand Candelon – Elena-Ivona DUMITRESCU – Christophe HURLIN – Jaouad MADKOUR This paper proposes a new statistical framework inherited from the traditional credit-scoringliterature, to evaluate currency crises Early Warning System (EWS). Applied so as to assessthe predictive power of panel logit and Markov frameworks, it results that the panel logitis outperforming the Markov switching ones. Furthermore, the introduction of forward loo-king variables clearly improves the forecasting properties of the EWS. It thus con rms theadequacy of the […]

Mardi | 2009-12-01 Nicolas DEBARSY – Vincenzo VERARDI – Amine LAHIANI In spatial autoregressive models, the functional form of autocorrelationis assumed to be linear. In this paper, we propose a simple semiparametricprocedure, based on Yatchew’s (1997) partial linear least squares, that doesnot impose this restriction. Simple simulations show that this model outper-forms traditional SAR estimation when nonlinearities are present. We thenapply the methodology on real data to test for the spatial pattern of vot-ing for independent candidates in US presidential […]