Truthfulness in Accounting: How to Discriminate Accounting Manipulators from Non-manipulators

Accountants preparing information are in a position to manipulate the view of economic reality presented in such information to interested parties. These manipulations can be regarded as morally reprehensible because they are not fair to users, they involve in an unjust exercise of power, and they tend to weaken the authority of accounting regulators. This paper develops a model for detecting earnings manipulators using financial statements’ ratios in a sample of Spanish listed companies. Our results provide evidence that accounting data can be extremely useful in detecting manipulators. This approach can be used by a large category of users of accounting information among which we can cite stock exchange supervisors or investing professionals.     

Structural VAR Estimation with Exogeneity Restrictions

ABSTRACT Exogenous variables arise quite naturally in macroeconomic models of small open economies. In these models overidentification is also a common feature. In the presence of exogeneity restrictions and overidentification the usual two-steps approach to the estimation of structural VAR's is not equivalent to Maximum Likelihood (ML). We propose a simple modification of that usual approach which produces ML estimators.     

CO-INTEGRATION ANALYSIS AND THE DETERMINANTS OF LAND PRICES

This paper outlines the concept of co-integration and its use in econometric modelling. The techniques of co-integration analysis are described, with particular emphasis given to test procedures. Co-integration between two or more variables is taken to imply the existence of a long-run equilibrium relationship between them. Co-integration analysis is applied in a re-examination of recent empirical models of the determination of land prices in England and Wales. The results suggest that recent land price models do not describe longrun relationships between land prices and the explanatory variables selected. Criticisms of the different measurements of returns to land used in studies to date are sustained by the analysis, and a clear role for interest rates in the determination of land prices is indicated.     

The influence of green practices on supply chain performance: A case study approach

The main objective of this exploratory paper is to investigate the relationships between green practices of supply chain management and supply chain performance. This relationship is investigated in the context of the automotive industry. Five research propositions are suggested and tested with empirical data derived from five case studies taken from the Portuguese automotive supply chain. The data analysis identifies the most important green practices considered by managers, as well as the performance measures that are most appropriate and most widely used as means to evaluate the influence of green practices on supply chain performance. A conceptual model was derived from the data analysis and it can be used to assess the influence of green practices on supply chain performance. This model provides evidence as to which green practices have positive effects on quality, customer satisfaction and efficiency. It also identifies the practices which have negative effects on supply chain performance.     

Educational qualifications mismatch in Europe. Is it demand or supply driven?

Most papers dealing with individual overeducation risks focus on labour supply characteristics and workers’ behaviour. On the other hand, only few studies consider labour demand characteristics and technological change. In this paper we analyse the influence of both demand and supply factors on educational mismatch in a set of 10 European countries. Our hypothesis, confirmed by results obtained using ordered probit model with sample selection, is that demand factors generally play a major role in reducing educational mismatch in technologically more advanced countries, whereas supply factors are more important in countries that are lagging behind in the international division of labour. At the same time, important cross-country and gender differences have been identified in how the demand/supply factors operate. All this calls for the fine-tuning of policies intended to tackle the problem of educational mismatch.     

Twin Crises in Emerging Markets: The Role of Liability Dollarization and Imperfect Competition in Banking

Currency crises in emerging markets have been accompanied by banking crises, with concentration in the market for bank credit increasing after large devaluations. This paper examines how the presence of imperfect competition and liability dollarization in banking shapes the real effects of the just mentioned twin crises. An important gap in the theoretical literature is filled, by being the first paper to provide a model of twin crises in the presence of imperfect competition in banking, and the changes in market structure that occur in the aftermath of crises. Doing so, the analysis is able to reveal that currency devaluations generate more severe twin crises in economies with less competitive banking sectors. This result is consistent with the empirical evidence on the concentration‐fragility view, and it unveils the importance of prudential regulation that focuses on the market structure in banking.     

Earning functions in Portugal 1982–1994: Evidence from quantile regressions

This paper uses quantile regressions to describe the conditional wage distribution in Portugal and its evolution over the 1980s as well as the implications for increased wage inequality. We find that, although returns to schooling are positive at all quantiles, education is relatively more valued for highly paid jobs. Consequently, schooling has a positive impact on wage inequality. Moreover, this tendency has sharpened over the period. We also find that most of the estimated change in wage inequality was due to changes in the distribution of the worker's attributes, rather than to increased inequality within a particular type of worker. this version: January 2000     

Unobserved selection heterogeneity and the gender wage gap

Selection correction methods usually make assumptions about selection itself. In the case of gender wage gap estimation, those assumptions are especially tenuous because of high female nonparticipation and because selection could be different in different parts of the labor market. This paper proposes an estimator for the wage gap that allows for arbitrary and unobserved heterogeneity in selection. It applies to the subpopulation of “always employed” women, which is similar to men in labor force characteristics. Using CPS data from 1976 to 2005, I show that the gap has narrowed substantially from a ?0.521 to a ?0.263 log wage point differential for this population.