The role of politicians in inciting financial markets to attack the eurozone. EuropEos Commentary No. 4, 21 June 2010

While acknowledging that the sustainability of sovereign debt is a serious issue that must be confronted, this EuropEos Commentary finds that financial markets have blown the problem completely out of proportion, leading to a full-scale confidence crisis. The authors present evidence suggesting that politicians’ public disagreements and careless statements at critical junctures may have added oil to incipient fire. By creating the impression that domestic political interests would take precedence over orderly management of the Greek debt crisis, they raised broader doubts about their ability to address fundamental economic divergences within the area, which are the real source of debt sustainability problems in the medium term.

Antitrust on the ‘G string’: What’s behind the Commission’s investigations of Google and Gazprom? CEPS Commentary, 15 June 2015

The past few weeks have marked a shift of gear in EU antitrust enforcement. First, the new European Commissioner for Competition Margarethe Vestager announced on April 15th that the Commission had sent a Statement of Objections to Google, arguing that the giant IT company abused its dominant position in the “general Internet search” market and also in the market for mobile operating systems, apps and services. Exactly one week later, she also sent a Statement of Objections to Gazprom for having created artificial barriers to trade between certain EU countries, preventing gas flows and competition across national borders and charging unfair prices in five Central and Eastern European countries. It is indeed hard to recall any other time in which two investigations of this size – both potentially leading to billions of euros of fines – have been launched almost simultaneously.

Traduzione audiovisiva e format gastronomici: proposta di sottotitolaggio in italiano e in francese della finale di Masterchef

In questo mio elaborato ho affrontato il tema della traduzione audiovisiva. Mi sono soffermata sulla tecnica del sottotitolaggio, concentrando la mia attenzione sui format televisivi di cucina. Sono stata spinta da una vera e propria passione per tutto ciò che riguarda la sfera gastronomica e i programmi televisivi a questa dedicati. Oggi queste trasmissioni hanno raggiunto un vero e proprio successo mondiale. La nostra è l’era dei grandi format televisivi che non parlano altro che di cucina, sfide tra i fornelli e critiche spietate. La cucina è alla base di ogni civiltà ed è parte integrante della cultura di ogni popolo. Tra le molteplici sfaccettature delle culture, troviamo la gastronomia che, dal mio punta di vista, è situata ai primi posti per importanza. L’Italia e la Francia hanno, sin da sempre, dimostrato la loro eccellenza all’interno del panorama mondiale enogastronomico: la cucina italiana, con la sua semplicità e i suoi sapori mediterranei, e quella francese, ricca di note tradizionali ed esotiche all’unisono. Per questo motivo, la mia attenzione si è rivolta a un talk show culinario ormai noto in tutto il mondo: MasterChef. In questo format televisivo, i concorrenti sono tenuti a sostenere varie prove, nelle quali bisogna realizzare piatti dell’arte culinaria del paese in cui il programma viene trasmesso e non solo. Scopo del programma è aggiudicarsi il titolo di miglior chef. Ho scelto chiaramente un’edizione a mio piacimento del programma per entrambi i paesi e ho proposto un sottotitolaggio per un particolare momento di questo format televisivo: la finale. Nella fattispecie, ho proposto il sottotitolaggio per la finale di MasterChef Italia in francese e per la finale di MasterChef France in italiano. Ho scelto di sottotitolare questo particolare momento della trasmissione televisiva, in quanto ritengo che, oltre ad essere uno dei più emozionanti per i telespettatori, sia ricco di elementi utili per un’analisi approfondita in ambito traduttivo.

MOREMATA: Stata module (Mata) to provide various functions

This package includes various Mata functions. kern(): various kernel functions; kint(): kernel integral functions; kdel0(): canonical bandwidth of kernel; quantile(): quantile function; median(): median; iqrange(): inter-quartile range; ecdf(): cumulative distribution function; relrank(): grade transformation; ranks(): ranks/cumulative frequencies; freq(): compute frequency counts; histogram(): produce histogram data; mgof(): multinomial goodness-of-fit tests; collapse(): summary statistics by subgroups; _collapse(): summary statistics by subgroups; gini(): Gini coefficient; sample(): draw random sample; srswr(): SRS with replacement; srswor(): SRS without replacement; upswr(): UPS with replacement; upswor(): UPS without replacement; bs(): bootstrap estimation; bs2(): bootstrap estimation; bs_report(): report bootstrap results; jk(): jackknife estimation; jk_report(): report jackknife results; subset(): obtain subsets, one at a time; composition(): obtain compositions, one by one; ncompositions(): determine number of compositions; partition(): obtain partitions, one at a time; npartitionss(): determine number of partitions; rsubset(): draw random subset; rcomposition(): draw random composition; colvar(): variance, by column; meancolvar(): mean and variance, by column; variance0(): population variance; meanvariance0(): mean and population variance; mse(): mean squared error; colmse(): mean squared error, by column; sse(): sum of squared errors; colsse(): sum of squared errors, by column; benford(): Benford distribution; cauchy(): cumulative Cauchy-Lorentz dist.; cauchyden(): Cauchy-Lorentz density; cauchytail(): reverse cumulative Cauchy-Lorentz; invcauchy(): inverse cumulative Cauchy-Lorentz; rbinomial(): generate binomial random numbers; cebinomial(): cond. expect. of binomial r.v.; root(): Brent's univariate zero finder; nrroot(): Newton-Raphson zero finder; finvert(): univariate function inverter; integrate_sr(): univariate function integration (Simpson's rule); integrate_38(): univariate function integration (Simpson's 3/8 rule); ipolate(): linear interpolation; polint(): polynomial inter-/extrapolation; plot(): Draw twoway plot; _plot(): Draw twoway plot; panels(): identify nested panel structure; _panels(): identify panel sizes; npanels(): identify number of panels; nunique(): count number of distinct values; nuniqrows(): count number of unique rows; isconstant(): whether matrix is constant; nobs(): number of observations; colrunsum(): running sum of each column; linbin(): linear binning; fastlinbin(): fast linear binning; exactbin(): exact binning; makegrid(): equally spaced grid points; cut(): categorize data vector; posof(): find element in vector; which(): positions of nonzero elements; locate(): search an ordered vector; hunt(): consecutive search; cond(): matrix conditional operator; expand(): duplicate single rows/columns; _expand(): duplicate rows/columns in place; repeat(): duplicate contents as a whole; _repeat(): duplicate contents in place; unorder2(): stable version of unorder(); jumble2(): stable version of jumble(); _jumble2(): stable version of _jumble(); pieces(): break string into pieces; npieces(): count number of pieces; _npieces(): count number of pieces; invtokens(): reverse of tokens(); realofstr(): convert string into real; strexpand(): expand string argument; matlist(): display a (real) matrix; insheet(): read spreadsheet file; infile(): read free-format file; outsheet(): write spreadsheet file; callf(): pass optional args to function; callf_setup(): setup for mm_callf().