Magic mirror in my hand … How trade mirror statistics can help us detect illegal financial flows

Misreporting tricks of different sorts applied to the transfer of goods between different countries are typically exploited by criminals worldwide for money laundering ends. The main international anti‐money laundering organisations started paying attention to this phenomenon, dubbed “trade‐based money laundering” (TBML), a long time ago, but the failure to develop appropriate analytical tools has reportedly dogged preventive actions. Nonetheless, literature has widely advocated the possibility that the analysis of inconsistencies in mirrored bilateral trade data could provide some help. By building on previous contributions in the field, this work sets up a model factoring in the main structural determinants of discrepancies between mirrored data concerning Italy's 2010 to 2013 external trade at a highly detailed (6‐digit) level of goods classification for each partner country. Point estimates of freight costs are used to net each observation of the corresponding cif/fob discrepancy. The regression estimates are then deployed in order to compute TBML risk indicators at a country/4‐digit product level. Based on the indicators, rankings of countries and product lines can be compiled, which may be used for a risk‐driven search of potential illegal commercial transactions.     

Heterogeneous Firms,Globalisation and the Distance Puzzle

Despite the strong pace of globalisation, the distance effect on trade is persistent or even growing over time (Disdier and Head, 2008). To solve this distance puzzle, we use the recently developed gravity equation estimator from Helpman et al. (2008) (HMR henceforth). Using three different data sets, we find that the distance coefficient increases over time when ordinary least squares (OLS) is used, while the non‐linear estimation of HMR leads to a decline in the distance coefficient over time. The distance puzzle, thus, arises from a growing bias of OLS estimates. The latter is explained by an increase in the importance of the bias from omitting the number of heterogeneous exporting firms relative to the bias from omitting zero trade flows. Furthermore, we show that including zero trade flows cannot solve the distance puzzle when using HMR. The HMR estimates are strongly correlated with the time pattern in freight costs reported by Hummels (2007).     

Shopping value,tourist satisfaction and positive word of mouth: the mediating role of souvenir shopping satisfaction

We propose new insights into key satisfaction outcomes for souvenir retailers, such as positive word-of-mouth recommendations, seeking deeper comprehension of overall tourist satisfaction determinants, by analysing the mediating role of tourist souvenir shopping satisfaction. We apply variance-based structural equation modelling by means of partial least squares to a sample of 408 tourists all of whom had purchased souvenirs. The results suggest that tourist shopping satisfaction partially mediates the relation between shopping value and positive word of mouth, while tourist shopping satisfaction completely mediates the relation between shopping value and overall tourist satisfaction. The results and their implications are then discussed to arrive at pertinent conclusions on tourist souvenir shopping satisfaction.     

Stochastic monotonicity in intergenerational mobility tables

The aim of this paper is to test for stochastic monotonicity in intergenerational socio‐economic mobility tables. In other words, we question whether having a parent from a high socio‐economic status is never worse than having one with a lower status. Using existing inferential procedures for testing unconditional stochastic monotonicity, we first test a set of 149 intergenerational mobility tables in 35 different countries and find that monotonicity cannot be rejected in hardly any table. In addition, we propose new testing procedures for testing conditional stochastic monotonicity and investigate whether monotonicity still holds after conditioning on a number of covariates such as education, cognitive and non‐cognitive skills. Based on the NCDS cohort data from the UK, our results provide evidence that monotonicity holds, even conditionally. Moreover, we do not find large differences in our results when comparing social class and wage class mobility. Copyright © 2010 John Wiley & Sons, Ltd.     

A social welfare function characterizing competitive equilibria of incomplete financial markets

A classic characterization of competitive equilibria views them as feasible allocations maximizing a weighted sum of utilities. It has been applied to establish fundamental properties of the equilibrium notion, such as existence, determinacy, and computability. However, it fails for economies with missing financial markets.We give such a characterization for economies with a single commodity and missing financial markets, by an amended social welfare function. Its parameters capture both the relative importance of households welfare, through the classic welfare weights, as well as the disagreements among them as to the value of the missing markets.As a by-product, we identify the dimension of the set of interior equilibrium allocations.     

Rationale and policies for the green growth of cities and regional economies

By linking environmental quality to economic growth, green growth is emerging as a new paradigm for urban policies. The paper discusses a policy package for green growth of cities and regional economies, made of four interlocking pillars: a) greener public services and purchasing behavior, b) eco-efficiency of industrial production, c) consumer awareness and demand incentives, d) support for research and innovative applications of green technologies. Urban green growth strategies are more likely to succeed if they account for policy interventions in each of these four domains. Prioritization among the different interventions needs to be based on an accurate screening of possible complementarities among the four pillars. Within the strategy, interventions in one domain unlock positive developments in other domains. Synergies and possibilities for leverage do exist at the local level, as well as potentials for policy experimentation. More knowledge of how the local economy works and a strong capacity to pursue interdepartmental and multi-level programs are essential requisite to seize the employment and growth potentials of the low-carbon transition.     

On Non-Nash Equilibria

I consider generalisations of the Nash equilibrium concept based on the idea that in equilibrium the players' beliefs should not be contradicted, even if they could possibly be incorrect. This possibility depends on the information about opponents' behaviour available to the players in equilibrium. Therefore the players' information is crucial for this notion of equilibrium, called Conjectural Equilibrium in general and Rationalizable Conjectural Equilibrium (Rubinstein-Wolinsky 1994) when the game and the players' Bayesian rationality are common knowledge. In this paper I argue for a refinement of Rationalizable Conjectural Equilibrium showing by propositions and by examples how this equilibrium notion works and how the suitable equilibrium concept depends on the players' information.Journal of Economic LiteratureClassification Numbers: C72, D83, D82.     

Equilibrium with Default and Endogenous Collateral

We study a two‐period general equilibrium model with incomplete asset markets and default. We make collateral endogenous by allowing each seller of assets to fix the level of collateral. Sellers are required to provide collateral whose first‐period value, per unit of asset, exceeds the asset price by an arbitrarily small amount. Moreover, borrowers are also required to be fully covered by the purchase, in the first period, of state‐by‐state default insurance. These insurance contracts are offered by lenders. The insurance cost or revenue is a linear charge and plays the role of a spread penalizing borrowers who will incur in default and benefiting lenders who will suffer default. Under these assumptions, equilibrium always exists.     

L’EFFICIENCE DES COOPERATIVES DE SERVICES FINANCIERS: UNE ANALYSE DE LA CONTRIBUTION DU MILIEU*

RÉSUMÉ 1 : Le faible niveau moyen d’efficience des institutions bancaires habituellement trouvé dans les études empiriques a été qualifié de « boîte noire » par Berger et Mester (1997) . Cette étude cherche à identifier si les caractéristiques de l’environnement de même que celles qui sont propres à une coopérative d’épargne et de crédit pourraient expliquer une partie des écarts de performance apparaissant dans les scores d’efficience. Le modèle de coût que nous avons estimé est basé sur la valeur ajoutée par l’intermédiation financière. Par ailleurs, pour éviter la perte d’informations découlant de la borne à l’unité des scores d’efficience découlant du DEA, nous avons comparé les résultats d’une analyse avec le score d’efficience et de superefficience. Nos résultats montrent qu’au moins 34% des écarts de scores peuvent être expliqués par un ensemble limité de variables: taille de la coopérative, taux de capitalisation, épargne par membre, nombre de membres et type de marché.