X-Factor updating and total factor productivity growth: the case of peruvian telecommunications, 1996–2003

This paper measures TFP growth of Telefonica del Peru, and based on this growth rate computes a telecommunications X-factor or offset. More broadly the paper analyses the problem of updating an X-factor under existing price cap regulation. A revised offset must account for the possible restructuring of service offerings resulting from improved efficiencies in response to price cap incentives. Our updating framework focuses on efficiency criteria, and based on economic principles emphasizes the continuity between prior and continuing standards. In the case of Peru, based on annual average TFP growth of 1.66%, the X-factor is computed to be 4.06% per year. An erratum to this article can be found at     

Testing for changing shapes of income distribution: Italian evidence in the 1990s from kernel density estimates

By using nonparametric methods, this paper estimates the distribution of both household and size-adjusted real income in Italy between 1987–1998. Because of data sparseness in the distribution, an adaptive bandwidth is used, while to account for sample design a weighting variable is incorporated in the estimation procedure. The time invariance and the presence of modes in the distributions are tested by means of a nonparametric test and a bootstrap test, respectively. The empirical results suggest that the Italian income distribution significantly changed over time. During the eighties the density shifted rightwards, positively affecting the well being of a large fraction of Italian households. The 1993 recession altered the shape of income distribution increasing inequality and polarisation, and the following period of slow recovery did not show significant changes in the shape of distribution in terms of relative income with a consequent permanence of inequality. The polarisation of the distribution is more noticeable for size-adjusted income rather than whole household income, reflecting the influence of family size on income shape.Jel classification: C14, D31, I30The authors gratefully acknowledge financial support from the Italian Ministry of the Universities and Scientific Research (MIUR). We would like to thank two anonymous referees, Nicholas Longford, Aman Ullah and participants of the International workshop on Income Distribution and Welfare, Milan, May 2002 for their useful comments and suggestions. Obviously we are the solely responsible of any further error and omission.First version received: January 2002/Final version received: January 2003     

The dynamic specification of the modified pecking order theory: Its relevance to Italy

This paper proposes an empirical model for the modified pecking order theory (MPO) in which both trade-off (TO) and pecking order (PO) models are nested. The MPO model is specified as an error-correction mechanism and applied to a vast panel data-set. Unlike previously estimated financial models, it avoids a number of problems: the mis-specification of dynamics, the approximation of the target leverage using the historical mean, the constrained estimation of the free cash flow components in a unique parameter. The MPO model is particularly good at explaining “hybrid” systems (neither market-based nor bank-based) such as the Italian one, in which companies are a mixture of two types: TO-type firms with a long-term optimal debt ratio towards which they converge; PO-type firms for whom the short-term availability of internal funds for investment may interfere with the process of adjustment towards the target leverage. Finally, the MPO model enables us to separately test the individual relevance of each of the restricted (“pure”) TO and PO models: results confirm their mis-specification and clearly point towards the excellent empirical performance of the MPO model. First version received: May 2000/Final version received: September 2000     

Measuring the set of blocking coalitions in infinite dimensional economies

The classical core-Walras equivalence is investigated via the measurement of the set of blocking coalitions. In the framework of continuum economies with an infinite dimensional space of commodities, we find the measure of the set of coalitions that block a non-competitive Pareto optimal allocation. Then, from the relation between coalitions of a continuum economy with a finite number of types and fuzzy coalitions of an economy with finitely many agents, the previous results are translated as results on the measure of blocking fuzzy coalitions. Both results imply classically formulated core-Walras equivalence theorems. Finally, the measure of blocking "social communication structures" is determined.     

Effects of budgetary participation conflict on job performance of Mexican and US managers

This study extends the stream of participative budgeting literature by introducing a new variable, Budgetary Participation Conflict (BPC). BPC occurs when the level of budget participation experienced by a manager differs from a desired level. We propose a model where BPC is the independent variable to further evaluate the effect of budget participation on job performance. Using path analysis, we measure the direct effect of BPC on job performance, and the indirect effects between BPC and performance that run through job satisfaction and job tenure in two countries, Mexico and the US.While the results do not indicate that BPC either directly or indirectly affects the performance of US managers, the results indicate that BPC negatively affects the job performance of Mexican managers indirectly through the effects of BPC on job satisfaction and job tenure. The relationship between tenure and performance is much stronger among the Mexican managers than among their US counterparts, which is the largest single difference between the Mexican and US results.     

A two-stage dynamic credit scoring model,based on customers’ profile and time horizon

As credit card usage has expanded rapidly worldwide, credit scoring has become a very important task for banks, which can benefit from reducing possible risks of default. Credit scoring models help decision makers to decide whether to issue a credit card to a new applicant on the basis of both financial and nonfinancial criteria. The scope of the current study is to develop a dynamic scoring model that (a) estimates the credit performance of an applicant using generalised linear models and (b) accommodates the changes of a borrower's characteristics after the issuance of the credit card and forecasts the time of default using survival analysis.     

Repayment behavior in peer‐to‐peer microfinancing: Empirical evidence from Kiva

Based on a sample of microloans (to individuals and to groups) that were refinanced through the peer-to-peer microfinancing platform Kiva, we study the determinants of the repayment behavior of micro-entrepreneurs whose loans are available to international charitable lenders. We perform binary regressions and account for influential factors such as the time required for funding or the type of entrepreneurial activity. The screening and monitoring quality of the microfinance institution which selects the borrowers is a main driver of credit default. We find evidence that the loan size, the loan term and the length of a possible grace period influence the probability of default. Moreover, women demonstrate better repayment behavior which is, however, not the case for groups of women.     

Sulla dipendenza continua della probabilità di rovina dal caricamento dei premi

Si studia un modo di approssimare la probabilità di rovina relativa a un caricamento ₀ con le probabilità di rovina relative a una successione di caricamenti ( _k ) _k , che approssimano ₀ quandok tende all'infinito.

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Summary In this paper we study a way of approximating the probability of ruin related to a loading ₀, by the probabilities of ruin related of a sequence of loadings ( _k ) _k which «approximate» ₀ ask converges to infinity.

     

High-frequency trading: a literature review

The relatively recent phenomenon of high-frequency trading has had a profound impact on the micro-structure of financial markets. Several authors hailed it as a provider of liquidity and a mechanism for controlling volatility, two highly welcome features, especially beneficial to retail traders, whereas other authors view the situation generated by algorithmic trading as damaging for both small and institutional traders, and the orderly functioning of the markets. This paper analyzes the impact of high-frequency trading in respect of the main parameters affecting market quality: volatility, transaction costs, liquidity, price discovery, penalization of slower traders, and impact on sudden financial crises, the notorious flash crashes. As often happens within the financial community, different views stand to each other and no conclusive agreement on the value of most parameters has been reached as yet. A section on the apparently falling profits of high-frequency traders, as denounced in recent times, completes the review.

     

Social comparisons in wage delegation: experimental evidence

We make two main contributions in this article. We examine whether social comparisons affects workers’ performance when a firm can choose workers’ wages or let them choose their own. Firms can delegate the wage decision to neither, one or both workers in the firm. We vary the information workers receive, finding that social comparisons concerning both wages and decision rights affect workers’ performance. Our second contribution is methodological. We find that our treatment effects are present with both stated effort and a real-effort task, which suggests that both approaches may yield similar results in labor experiments.