A test of trade theories when expenditure is home biased

We develop a criterion to distinguish two dominant paradigms of international trade theory: homogeneous-goods perfectly competitive models, and differentiated-goods monopolistically competitive models. Our analysis makes use of the pervasive presence of home-biased expenditure. It predicts that countries’ relative output and their relative home biases are positively correlated in differentiated-goods sectors (the “home-bias effect”), while no such relationship exists in homogeneous-goods sectors. This discriminating criterion turns out to be robust to a number of generalisations of the baseline model. Our empirical results, based on a world-wide cross-country data set, suggest that the differentiated-goods model fits particularly well for the machinery, precision engineering and transport equipment industries, which account for some 40% of sample manufacturing output.     

Over the ROC methodology: Productivity,economic size and firms’ export thresholds

We identify the minimum combinations of productivity and “economic size” that Italian manufacturing firms need to achieve in order to access international markets. These “export thresholds” are estimated by applying, for the first time in economics, the ROC (receiver operating characteristics) methodology. In this way, we detect a model‐based (rather than a subjectively determined) cut‐off that allows to identify exporters and nonexporters and provides a measure of each firm’s distance from the export threshold. This methodology also paves the way to investigate other determinants of thresholds, thus helping to design more effective policy interventions to reduce barriers to trade.     

The impact of inflation targeting: Testing the good luck hypothesis

Starting in the mid‐1980s, the level and volatility of inflation decreased across industrial countries. The inflation stabilization can be explained by a shift in monetary policy or by a lucky period of low volatility in business cycle shocks. To test the “good luck hypothesis,” we examine the inflation experience of Canada, one of the earliest and most successful adopters of an inflation targeting monetary policy. We Kalman‐filter the historical structural shocks consistent with an estimated dynamic stochastic general equilibrium (DSGE) model of the Canadian economy. The estimated shocks are used to build counterfactual histories. The good luck hypothesis can explain only a minor portion of the change in the path and volatility of inflation after the shift in policy. Most of inflation and output stabilization is accounted by the impact on expectations. Unconditionally, the inflation targeting policy does not improve on the previous policy in terms of inflation volatility, but supports a more favourable trade‐off, reducing substantially output volatility.     

Real business cycles with Cournot competition and endogenous entry

We introduce strategic interactions with quantity competition a` la Cournot and endogenous entry in an RBC model with homogenous goods. In the long run, the steady state mark up is decreasing in the capital share, in the discount factor and in the level of technology, while it is increasing in the rate of bankruptcy and in the entry cost. In the short run, a competition effect amplifies the propagation of the shocks and generates procyclical profits and countercyclical mark ups. We extend the model to different forms of competition (as imperfect collusion and Stackelberg competition). The analysis of technology and preference shocks and of the second moments suggests that the model outperforms the RBC in terms of variability of output, labor and, of course, profits and mark ups.     

Supply chain finance: From traditional to supply chain credit rating

Traditional credit rating models, adopted by financial institutions to assess the credit risk of a company, adopt a purely financial perspective, and often fail to properly assess small and medium enterprises. On the other hand, buyers usually assess suppliers by means of comprehensive vendor ratings, considering a broad range of operational performance. This paper investigates whether financial and vendor ratings can be integrated into a supply chain credit rating model that jointly considers financial indicators of the supplier and its operational evaluation provided by buyers; the paper also investigates the benefits and the challenges of such a model for all the stakeholders involved (buyers, suppliers, financial institutions, and technology providers), adopting the lenses of the stakeholder theory. We adopted both multiple case studies and an iterative focus group, involving representatives from suppliers, buyers, financial institutions, and technology providers. The results confirm the potential value of such an integrated rating, mainly for strategic suppliers, showing the expected benefits for all stakeholders and highlighting the potential challenges to face.     

Regional analysis and sustainable development： Application of a synthetic sustainability indicator to Galicia and the European Union

In general, investigations carried out to date regarding/measuring systems/systems of measurement of sustainable development present two peculiarities： Either they are of a limited practical nature or they do not allow for comparisons between different areas or economies. Global synthetic indicators are an exception to the above; however they have been scarcely developed. This article designs an index of said characteristics, which is subsequently applied to all the countries within the European Union and to the region of Galicia.     

Ordinal notions of submodularity

We consider several ordinal formulations of submodularity, defined for arbitrary binary relations on lattices. Two of these formulations are essentially due to Kreps [Kreps, D.M., 1979. A representation theorem for “Preference for Flexibility”. Econometrica 47 (3), 565–578] and one is a weakening of a notion due to Milgrom and Shannon [Milgrom, P., Shannon, C., 1994. Monotone comparative statics. Econometrica 62 (1), 157–180]. We show that any reflexive binary relation satisfying either of Kreps’s definitions also satisfies Milgrom and Shannon’s definition, and that any transitive and monotonic binary relation satisfying the Milgrom and Shannon’s condition satisfies both of Kreps’s conditions.     

Goodness of Fit for Discrete Random Variables Using the Conditional Density

In this paper we find a new test of goodness of fit in the case of discrete random variables. The main advantage of the methodology proposed in this paper relies on the fact that given the sample, we can control the probability of the type I error, that is α, and then find the exact value of the probability of the type II error, β, associated, in some cases. The results are not asymptotic, but exact. Also a conditional test for two alternatives is obtained. We also include some simulations in order to check the power of the procedures.Mathematics Subject Classification (2000) Primary 62G10 · 62B05 · Secondary 62E10     

The Assessment of Exclusive Contracts: The Competition Case Against Computicket in South Africa

Review of Industrial Organization - This article reviews an abuse of dominance decision against the main outsourced ticketing firm in South Africa. The decision of the Competition Tribunal in...     

Multivariate Wold decompositions: a Hilbert A-module approach

Decisions in Economics and Finance - Orthogonal decompositions are essential tools for the study of weakly stationary time series. Some examples are given by the classical Wold decomposition of...