The ex-post behavior of firms offering optimal employment contracts

The influential papers of Azariadas (1975) and Baily (1974) have clearly demonstrated that with imperfect labor mobility expected profit maximizing firms will offer employment contracts that will not result in profit maximizing behavior once the ‘state of nature’ is disclosed. This Letter shows that such firms will behave as if their objective were to maximize the expected utility of each individual worker subject to a profit target. The rule that emerges when there is unemployment will be shown to be formally equivalent to Meade's Rule for optimal population [Meade (1955, ch. 6)].     

Currency substitution and the real exchange rate: the utility maximization approach

This paper studies the currency-substitution hypothesis with Rational Expectations in terms of a Sidrauski-type model where domestic and foreign money enter the utility function. It shows that, contrary to Liviatan (1981), the approach does not necessarily contradict Calvo and Rodriguez (1977). Furthermore, the impact of monetary stabilization policy is fully characterized with flexible and (pre-) fixed rates for an extension of Dornbusch and Mussa (1975). A brief analysis of the Optimal Quantity of Money is also provided.     

Compative robustness of six tests in repeated measures designs with specified departures from sphericity

In this article we examine the behaviour of six univariate statistics for analyzing the data of a Split-plot factorial design. Except for the univariate analysis of variance, which assumes that the dispersion matrix underlying the data is spherical, the other five procedures assume absence of sphericity. However, they do so with a clear distinction between two alternatives, insofar as three of them presuppose an arbitrary correlation between the data and two presuppose serial autocorrelation. These six approaches were compared with regard to their robustness under multivariate normality in the absence of sphericity, both when there was serial autocorrelation and when there was underlying arbitrary correlation. In general, Monte Carlo comparisons show that when underlying the data there is a autoregressive stationary or decreasing structured non-stationary autoregressive process, the Hearne, Clark and Hatch procedure is the most robust. In the rest of the conditions studied, i.e., increasing structured non-stationarity autoregressive and arbitrary non-stationarity (autoregressive and with arbitrary correlation), the Greenhouse-Geisser and Lecoutre statistics display the best behaviour.     

Network analysis of exchange data: interdependence drives crisis contagion

In this paper, we examine linear and nonlinear co-movements that appear in the real exchange rates of a group of 28 developed and developing countries. The matrix of Pearson correlation and Phase Synchronous coefficients have been used in order to construct a topology and hierarchy of countries by using the Minimum Spanning Tree (MST). In addition, the MST cost and global correlation coefficients have been calculated to observe the co-movements’ dynamics throughout the time sample. By comparing Pearson and Phase Synchronous information, a new methodology is emphasized; one that can uncover meaningful information pertaining to the contagion economic issue and, more generally, the debate surrounding interdependence and/or contagion in financial time series. Our results suggest some evidence of contagion in the Asian currency crises; however, this contagion is driven by previous and stable interdependence.     

Information Gathering and Marketing

Consumers have only partial knowledge before making a purchase decision, but can acquire more‐detailed information. Marketing makes it easier or harder for these consumers to do so. When consumers are ex ante heterogeneous, the firm might choose an intermediate marketing strategy for two quite different reasons. First, as a nonprice means of discrimination—it can make information only partially available, in a way that induces some, but not all, consumers to acquire the information. Second, when the firm cannot commit to a given investment in ensuring quality, the marketing and pricing strategy can act as a commitment device.     

Confirmatory factor analysis with missing data in a small sample: cognitive reserve in people with Down Syndrome

Quality & Quantity - The presence of missing data and small sample sizes are very common in social and health sciences. Concurrently to present a methodology to solve the small sample size and...     

Does Conservation Agriculture Change Labour Requirements? Evidence of Sustainable Intensification in Sub-Saharan Africa

Population growth, increasing wealth and changing diets require agriculture in Sub-Saharan Africa to intensify to meet future food demand and ensure food security in the region. Conservation agriculture can increase yields in the long run and reduce the negative environmental impacts of intensive farming. In changing the mix of resources used and how they are managed, the adoption of conservation agriculture can have a direct impact on farm labour. We study the relationship between conservation agriculture and labour input requirements as observed in five Sub-Saharan African countries. We focus on the amount of work required and the source of the work employed (household or hired, by gender, by children and by production stage). We apply multinomial endogenous switching regression models on a panel of household and farm data from Ethiopia, Kenya, Malawi, Mozambique and Tanzania. We find that conservation agriculture increases farms’ labour input requirements. Higher demand is driven by more work during the harvesting and threshing stages. Increases in labour requirements are usually met by household labour, not paid work. The workload change is also higher for women than for men, and, in certain cases, is met by children.     

Dynamic Volume-Return Relation of Individual Stocks

We examine the dynamic relation between return and volume ofindividual stocks. Using a simple model in which investors tradeto share risk or speculate on private information, we show thatreturns generated by risk-sharing trades tend to reverse themselves,while returns generated by speculative trades tend to continuethemselves. We test this theoretical prediction by analyzingthe relation between daily volume and first-order return autocorrelationfor individual stocks listed on the NYSE and AMEX. We find thatthe cross-sectional variation in the relation between volumeand return autocorrelation is related to the extent of informedtrading in a manner consistent with the theoretical prediction.