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The purpose of this paper is to examine the conditions under which discount risk leads to closed‐end funds trading at a discount.

A model of investor portfolio choice is developed in which investors face proportional fees for holding managed funds but fixed transaction fees for purchasing other risky assets. The conditions under which investors will hold shares in closed‐end funds are derived.

It is shown that, with fixed transaction costs in the market for risky assets, investors with wealth below a certain threshold will hold pooled index funds that charge a proportional fee, rather than the market portfolio chosen by wealthier investors. If a portfolio of closed‐end index funds yields greater volatility of returns to investors than open‐end index funds (i.e. displays “excess volatility”), and charges the same fees, the closed‐end funds need to trade at a discount in equilibrium to attract buyers. The same applies to actively managed funds if higher fees fully reflect extra expected returns from the managers' skill.

A primary determinant of closed‐end fund discounts is discount volatility and co‐movement across funds.

Until now it has been argued that discount risk needs to be systematic (correlated with market returns) to be priced. The evidence that discount risk is systematic is weak. There is strong empirical evidence of excess volatility and co‐movement of discounts across closed‐end funds, which in our model are a sufficient condition for funds to trade at a discount, under plausible assumptions. This model thus provides a stronger argument that discount risk explains why discounts exist.

Some recent research has reported results more favourable to long‐run purchasing‐power parity (PPP) for exchange rates within the European Monetary System (EMS) than for those outside it. This is inconsistent with the predictions of theories that regard the EMS as a means of acquiring anti‐inflation credibility for the governments of relatively high‐inflation countries. Results of tests on a wide range of intra‐EMS exchange rates suggest a tendency to under‐adjust for cumulative price differentials, and that the DM‐FF rate is atypical in its adherence to long‐run PPP.

This paper seeks to assess the importance of time‐varying regional patterns to countries' per capita growth rates, and their effect on the conclusions that can be drawn from growth regressions.

Pooled ordinary least squares on a data set of five‐year average growth rates for 101 countries over the period 1960‐1999 are used.

It is shown that time‐varying regional dummies explain more of the variance of per capita growth rates than do commonly used independent variables. This may indicate a problem of omitted variables with a strong regional dimension, or alternatively that growth is highly “contagious” within a region, perhaps through trade. Variables such as the growth of neighbouring countries or trading partners appear to be highly statistically significant when time‐varying regional effects are ignored, but are much less so when they are properly controlled for, and may simply be capturing unobserved regional effects. There is evidence that these variables reflect international business cycle correlation rather than the advantages of trading with, or being close to, faster‐growing countries.

There are strong regional patterns to growth of which one is still far from a full understanding.

Growth of neighbouring countries or trading partners may be much less important for a country's per capita growth than is sometimes claimed.

The findings show the importance of applying appropriate robustness checks to empirical results, and (in a two‐dimensional data set) of exploring whether variables explain the time‐series or the cross‐section dimension.

Penn World Tables (PWT) data on output measured at international prices are the data most frequently used in cross‐country growth regressions. These data are subject to revision, and the amendments can be substantial for a minority of countries, although negligible for most. The purpose of this paper is to investigate the effect of data revisions on research results using the data.

Using Hanushek and Kimko's analysis of the relationship between growth and schooling quality and Sala‐i‐Martin's tests of model selection, the authors investigate how much the results of cross‐country growth regressions vary if the most recent vintage (6.2) of PWT data is used, rather than the previous vintage (6.1).

The variation is substantial enough to imply significant differences in research results using different vintages of the PWT data.

The results reinforce the case for examining the sensitivity of growth regressions to outliers, which may be subject to subsequent data revision that might substantially affect the conclusions.

Previous research has identified significant revisions between successive vintages of PWT growth data, but has implied that this is not likely to affect the results of cross‐country growth regressions based on long‐run averages rather than on annual data. The findings suggest that this is not necessarily the case.

This paper aims to investigate the performance of estimators of the bid-ask spread in a wide range of circumstances and sampling frequencies. The bid-ask spread is important for many reasons. Because spread data are not always available, many methods have been suggested for estimating the spread. Existing papers focus on the performance of the estimators either under ideal conditions or in real data. The gap between ideal conditions and the properties of real data are usually ignored. The consistency of the estimates across various sampling frequencies is also ignored.

The estimators and the possible errors are analysed theoretically. Then we perform simulation experiments, reporting the bias, standard deviation and root mean square estimation error of each estimator. More specifically, we assess the effects of the following factors on the performance of the estimators: the magnitude of the spread relative to returns volatility, randomly varying of spreads, the autocorrelation of mid-price returns and mid-price changes caused by trade directions and feedback trading.

The best estimates come from using the highest frequency of data available. The relative performance of estimators can vary quite markedly with the sampling frequency. In small samples, the standard deviation can be more important to the estimation error than bias; in large samples, the opposite tends to be true.

There is a conspicuous lack of simulation evidence on the comparative performance of different estimators of the spread under the less than ideal conditions that are typical of real-world data. This paper aims to fill this gap.

APEC represents the world's most powerful economies. Although much trade related research has been undertaken on APEC countries, investment in the region is still not well understood. This paper provides an overview of FDI of selected APEC economies. Three main themes emerge from this review. First, APEC economies have experienced phenomenal growth in FDI over the last twenty years although such growth is uneven among countries. Second, FDI appears to shift from the primary sector into the manufacturing and tertiary sectors of the economy as economies grow further. Thus, future FDI in APEC economies will likely be relatively higher in the tertiary sector as the poorer members of APEC continue to grow. Third, FDI is found to contribute positively to economic growth in all economies considered although results show that FDI in the tertiary sector generally leads to higher economic growth.

This chapter challenges the denial of “underconsumption” – the role of consumption demand in capitalist reproduction and its paucity in crises – in contemporary Marxism. At stake are better understandings not only of crisis theory but also, inter alia, of imperialism, “reformism,” and Marx's intellectual legacy. The chapter shows how the centrality of consumption demand is underlined in the three volumes of Capital and the Grundrisse, and goes on to discuss the origins, weaknesses, and persistence of this denial. The chapter also shows that Marx did not regard underconsumption as a moralistic argument about unfulfilled need. The denial originates not in Marx but in productionism, the idea that capitalism is a system of “production for production's sake.”

Originating in the overkill of Tugan Baranowski's refutation of the Russian populists’ view that capitalist development was impossible in Russia due to lack of a home market, productionism is based on his attempt to force Marxism into the marginalist and the general equilibrium framework. Despite its antipathy with Marxism, most contemporary Marxist economics are based on it. Inevitably its adherence to Say's Law – the denial of the possibility of gluts in the market – infects the tendency to assume that capitalism's contradictions do not lie in circulation. Productionism's denial of the importance of consumption demand also rests on nonsequiturs, nondialectical thinking, and an underestimation of the contradictions in capitalism Marx identified, other than the tendency of the rate of profit to fall. The chapter ends by showing the centrality of demand in the recent historical evolution of capitalism as reconstructed by Robert Brenner, followed by a discussion of whether underconsumption is “reformist.”

This paper offers an approach for outlining the main dimensions surrounding clusters in three areas of knowledge: economic geography, strategic management and operations management, the first being considered its natural field of knowledge.

The work was developed using the citation analysis technique as applied to a database of 627 articles and 22,980 citations, taken from 15 important journals in the areas selected.

The results proved that the theoretical and conceptual bases are unique to each of the areas studied and that they have few topics in common between them. They are complementary, however, and this facilitates their reconciliation.

The sample base, despite considering fairly influential periodicals in the areas of knowledge selected, can be considered to be a limitation.

Common themes and different areas of knowledge surrounding the cluster concept were identified; despite being considered “common”, a more detailed examination of their content reveals very different, but certainly complementary emphases, which makes it possible to reconcile the areas of knowledge.

The purpose of this paper is to revisit the evidence for purchasing power parity (PPP) using long, low‐frequency data (over 100 years) for 23 organization for economic co‐operation and development (OECD) countries against each of four different base currencies – the Deutsch mark, the Japanese yen, the British pound, and the US dollar.

The paper uses standard unit root tests and level and trend stationarity tests, and also investigates the robustness of the results to alternative testing methodologies from statistical physics, such as Lo's modified rescaled range statistic and the Hurst exponent.

The results indicate that the theory of PPP does not hold.

Motivated by the mixed results from previous research on the validity of the theory of PPP, the robustness of standard unit root and stationarity tests to alternative testing methodologies are investigated. In particular, the paper uses two tests from statistical physics – Lo's modified R/S statistic and the Hurst exponent.

This paper aims to explore the effect of non-resource tax revenue instability on non-resource tax revenue in developed and developing countries.

The analysis has used an unbalanced panel data set of 146 countries over the period 1981–2016, as well as the two-step system generalized methods of moment approach.

The empirical analysis has suggested that non-resource tax revenue instability influences negatively non-resource tax revenue share of gross domestic product. The magnitude of this negative effect is higher in less developed countries than in relatively advanced countries. This negative effect materializes through public expenditure instability: non-resource tax revenue instability exerts a higher effect on non-resource tax revenue share as the degree of public expenditure instability increases. Finally, non-resource tax revenue instability exerts a higher negative effect on non-resource tax revenue share as economic growth volatility rises, inflation volatility increases and terms of trade instability increases.

The main policy implication of this analysis is that policies that help ensure the stability of non-resource tax revenue also contribute to improving countries’ non-resource tax revenue share. For example, governments’ measures that help cope with or prevent the severe adverse effects of shocks on economies (shocks that could translate into higher tax revenue instability) would ultimately help enhance countries’ tax revenue performance.

The severity of the current COVID-19 pandemic shock (which is a supply and demand shock) and the macroeconomic uncertainty that it has generated – inter alia, in terms of economic growth instability, terms of trade instability, inflation volatility and public expenditure instability – are likely to result in severe tax revenue losses. Governments in both developed and developing countries would surely learn from the management of this crisis so as to prepare for possible future economic, financial and health crises with a view to dampening their adverse macroeconomic effects, including here their negative tax revenue effects.

To the best of the author’s knowledge, this topic is being addressed in the empirical literature for the first time.