Public Knowledge and Financial Regulation: Two Post Crisis Periods

Abstract:

Since at least the days of Adam Smith there has been the recognition of essentially two forms of capitalism: in their theoretical extremes, one in which private companies determine the conditions of the social provisioning of credit and money, and one in which the State representing the general interest does. As we argue, the zeitgeist of the 1930s was a high water mark in the popular understanding of money and banking and its relationship with society. In contrast, today the general population is woefully ignorant on these points. As we argue, the relationship between financial governance and those governed hinges on the knowledge of the latter. Today’s public discourse reveals a widespread ignorance over financial matters that must accompany a likewise extreme moment of private control over nations’ money and credit. As we argue, the first steps towards a capitalism at the service of humanity and under public control, the first priority is publicly diffused knowledge.     

Inference with dependent data using cluster covariance estimators

This paper presents an inference approach for dependent data in time series, spatial, and panel data applications. The method involves constructing t and Wald statistics using a cluster covariance matrix estimator (CCE). We use an approximation that takes the number of clusters/groups as fixed and the number of observations per group to be large. The resulting limiting distributions of the t and Wald statistics are standard t and F distributions where the number of groups plays the role of sample size. Using a small number of groups is analogous to ‘fixed-b’ asymptotics of [Kiefer and Vogelsang, 2002] and [Kiefer and Vogelsang, 2005] (KV) for heteroskedasticity and autocorrelation consistent inference. We provide simulation evidence that demonstrates that the procedure substantially outperforms conventional inference procedures.     

Random Effects Misspecification Can Have Severe Consequences for Random Effects Inference in Linear Mixed Models

There has been considerable and controversial research over the past two decades into how successfully random effects misspecification in mixed models (i.e. assuming normality for the random effects when the true distribution is non‐normal) can be diagnosed and what its impacts are on estimation and inference. However, much of this research has focused on fixed effects inference in generalised linear mixed models. In this article, motivated by the increasing number of applications of mixed models where interest is on the variance components, we study the effects of random effects misspecification on random effects inference in linear mixed models, for which there is considerably less literature. Our findings are surprising and contrary to general belief: for point estimation, maximum likelihood estimation of the variance components under misspecification is consistent, although in finite samples, both the bias and mean squared error can be substantial. For inference, we show through theory and simulation that under misspecification, standard likelihood ratio tests of truly non‐zero variance components can suffer from severely inflated type I errors, and confidence intervals for the variance components can exhibit considerable under coverage. Furthermore, neither of these problems vanish asymptotically with increasing the number of clusters or cluster size. These results have major implications for random effects inference, especially if the true random effects distribution is heavier tailed than the normal. Fortunately, simple graphical and goodness‐of‐fit measures of the random effects predictions appear to have reasonable power at detecting misspecification. We apply linear mixed models to a survey of more than 4 000 high school students within 100 schools and analyse how mathematics achievement scores vary with student attributes and across different schools. The application demonstrates the sensitivity of mixed model inference to the true but unknown random effects distribution.     

Project Management Learning: A Comparative Study Between Engineering Students’ Experiences in South Africa and the United Kingdom

This study explores how engineering students studying project management perceive their learning experiences. To facilitate an understanding of the constituent components of engineering students’ experiences and to understand how these experiences influence preferred learning styles, a comparative study of university students studying engineering in South Africa and the United Kingdom is conducted. The study finds no significant demographic differences in learning experiences across the two student cohorts. However, the South African cohort reports higher levels of overall experiences. They also report higher usage of online learning materials but lower levels of blended learning and individual critical evaluation skills experiences.     

Optimal nonlinear income taxation with learning-by-doing

This paper examines a two-period model of optimal nonlinear income taxation with learning-by-doing, in which second-period wages are an increasing function of first-period labour supply. We consider the cases when the government can and cannot commit to its second-period tax policy. In both cases, the canonical Mirrlees/Stiglitz results regarding optimal marginal tax rates generally no longer apply. In particular, if the government cannot commit and each consumer's skill-type is revealed, it is optimal to distort the high-skill type's labour supply downwards through a positive marginal tax rate to relax an incentive-compatibility constraint. Our analysis therefore identifies a setting in which a positive marginal tax rate on the highest-skill individual can be justified, despite its depressing effect on both labour supply and wages.     

Economic structure and factor payments

There is a growing body of evidence that the labour payment share in national income varies across countries and over time, suggesting that the popular aggregate Cobb–Douglas production function may not capture income share dynamics. There remains conflicting evidence on the importance of natural resource rents among low income economies and on estimates of the rate of return to produced capital. This paper focuses on the structural differences among countries, confirming the importance of the agriculture sector in estimates of labour and land’s share of factor income based on 81 countries at diverse levels of economic development in the year 2005. I find that cross-country data are best modelled by a CES production function with an elasticity of substitution of 0.8 and that many low income countries have a higher return to capital than the United States.     

A coming ‘Magnesian’ age? Small states,the global system,and the international community

Since Plato, we have considered that the ideal polis, or political community, is the small state, akin to the idyllic ‘Magnesia’ of the Laws. The Platonic ideal, however, generally has been considered unrealistic. Even in the ancient world, the Alexandrine model ‐ an expanding, pluralistic network of large trading cities under a single aegis ‐ came to contradict it. Subsequent history, especially the imperialism of the nineteenth century which swallowed up many small polities around the world, seemed to prove that only large and powerful entities were ‘fit’ to survive. Why, then, are there still so many small‐sized countries in the world today? Why is their number actually increasing? Decolonisation, the end of bipolarity, democratisation, trade liberalisation and the digital revolution are five factors that have given small states more freedom. Yet many are vulnerable, and the economics of their situations are precarious. The workings of the global system, particularly the globalisation of business, may harm them even while promoting their freedom. The international community, a large part of which is now in fact made up of small states, should be prepared to act, for the global public good as well as out of sheer political and also environmental self‐interest, to help safeguard the livelihood of the world's many and varied small states, whose ‘Magnesian’ venues and values can be of both functional and normative importance for mankind as a whole.