New Evidence on the Politics and Economics of Multiparty Cabinets Duration

A Proportional Hazards Specification for cabinet duration data is estimated by mean of a flexible parametric approach. The hazard rate is found to be significantly affected by the majority status, the degree of fragmentation and ideological homogeneity of the coalition, the stability and the polarisation of the legislature and the time horizon at the moment of cabinet formation. Interesting innovative results concern the higher stability of cabinets supported by coalitions ideologically closer to the median party and/or left–oriented. The overall state of the economy also has a role. Graphical evidence suggests that the underlying distribution of duration data might be a Gompertz distribution.     

More distance,more remittance? Remitting behavior,travel cost,and the size of the informal channel

The rising number of foreign workers in Italy during the last 15 years has led to a conspicuous increase in the amount of remittances sent abroad. In this paper, we examine the determinants of remittance outflows originated in Italy and transferred abroad through registered financial intermediaries. After controlling for a wide set of socioeconomic regressors, we document a strong positive relation between remittances and the cost of travel between Italy and the migrants' respective home countries. We interpret this result as indirect evidence of unrecorded flows, since the relation between remittances and travel cost should be non‐significant unless geographical proximity permits remitters to switch to informal (non‐observable) transmission mechanisms. Moreover, using data on temporal and monetary costs for a subset of bilateral corridors, we also find remittances to be negatively correlated with high transaction costs and low speed of transfer. We rely on this empirical evidence and on a model of migrants' remitting behavior to present new strategies for estimating the size of the informal outflow.     

Combining Opinions for Use in Bayesian Networks: A Measurement Error Approach

Bayesian networks (BNs) are graphical probabilistic models used for reasoning under uncertainty. These models are becoming increasingly popular in a range of fields including engineering, ecology, computational biology, medical diagnosis and forensics. In most of these cases, the BNs are quantified using information from experts or from users' opinions. While this quantification is straightforward for one expert, there is still debate about how to represent opinions from multiple experts in a BN. This paper proposes the use of a measurement error model to achieve this. The proposed model addresses the issues associated with current methods of combining opinions such as the absence of a coherent probability model, the loss of the conditional independence structure of the BN and the provision of only a point estimate for the consensus. The proposed model is applied to a subnetwork (the three final nodes) of a larger BN about wayfinding in airports. It is shown that the approach performs well than do existing methods of combining opinions.     

Temporal mixture ensemble models for probabilistic forecasting of intraday cryptocurrency volume

Decisions in Economics and Finance - We study the problem of the intraday short-term volume forecasting in cryptocurrency multi-markets. The predictions are built by using transaction and order...     

Opting Out,Collective Contracts and Labour Flexibility: Firm-Level Evidence for The Italian Case

This article analyses the role of deviations from higher level collective agreements adopted in firm-level bargaining to regain higher labour mobility, net positive employment effects and a resurgence of labour productivity. Using Italian firm-level data, after performing preliminary pooled ordinary least squares and fixed effects estimates, we adopt a difference-in-difference approach combined with a propensity score matching. All the estimations show that opting out clauses notably increases both hiring and separations, but without significant variations in terms of net employment. In addition, no significant labour productivity gains are obtained. The only significant change concerns the increase in the share of temporary workers.     

Exploring different views of exchange rate regime choice

The empirical distinction between de facto and de jure exchange rate regimes raises a number of interesting questions. Which factors may induce a de facto peg? Why do countries enforce a peg but do not announce it? Why do countries “break their promises”? We show that a stable socio-political environment and an efficient political decision-making process are a necessary prerequisite for choosing a peg and sticking to it, challenging the view that sees the exchange rate as a commitment device. Policymakers seem rather concerned with regime sustainability in the face of adverse economic and socio-political fundamentals.     

Bank shareholding and lending: Complementarity or substitution? Some evidence from a panel of large Italian firms

The paper studies the motivations behind banks’ shareholding of non-financial firms using a panel of large Italian companies in the period 1994–2000. Empirical evidence shows that banks are shareholders of companies that are less profitable, have experienced slower growth, are more indebted, are endowed with collateral and have hard time to repay their debt out of current income. Banks are more likely to hold shares in companies they lend to. Overall the evidence suggests that there is complementarity between bank equity holding and lending. A plausible explanation is the shareholder–debtholder conflict, the evidence is weakly compatible with governance and information hypotheses.     

K-means clustering of item characteristic curves and item information curves via functional principal component analysis

Quality & Quantity - The assessment of students’ performances and learning skills plays a key role in the educational context. Common tools for analyzing test data are item response...     

Cross-sectional facts for macroeconomists

This article provides an introduction to the special issue of the Review of Economic Dynamics on “Cross-Sectional Facts for Macroeconomists”. The issue documents, for nine countries, the level and the evolution, over time and over the life cycle, of several dimensions of economic inequality, including wages, labor earnings, income, consumption, and wealth. After describing the motivation and the common methodology underlying this empirical project, we discuss selected results, with an emphasis on cross-country comparisons. Most, but not all, countries experienced substantial increases in wages and earnings inequality, over the last three decades. While the trend in the skill premium differed widely across countries, the experience premium rose and the gender premium fell virtually everywhere. At a higher frequency, earnings inequality appears to be strongly counter-cyclical. In all countries, government redistribution through taxes and transfers reduced the level, the trend and the cyclical fluctuations in income inequality. The rise in income inequality was stronger at the bottom of the distribution. Consumption inequality increased less than disposable income inequality, and tracked the latter much more closely at the top than at the bottom of the distribution. Measuring the age-profile of inequality is challenging because of the interplay of time and cohort effects.