Robust adaptive rate-optimal testing for the white noise hypothesis

A new test is proposed for the weak white noise null hypothesis. The test is based on a new automatic selection of the order for a Box–Pierce (1970) test statistic or the test statistic of Hong (1996). The heteroskedasticity and autocorrelation-consistent (HAC) critical values from Lee (2007) are used, allowing for estimation of the error term. The data-driven order selection is tailored to detect a new class of alternatives with autocorrelation coefficients which can be o(n^−1/2)$o\left(n^{-1/2}\right)$ provided there are sufficiently many of such coefficients. A simulation experiment illustrates the good statistical properties of the test both under the weak white noise null and the alternative.     

Role and impact of the environment on entrepreneurial learning

Abstract

This article is presenting an overview of the literature devoted to entrepreneurial learning and, more specifically, those research bringing environmental elements into the study of the entrepreneurial learning process. Then, it shows how each of the four Special Issue selected research papers contribute to enhancing our knowledge of the complexity of the learning process vis-à-vis entrepreneurial processes placed in context. By doing this, it makes an attempt to explain the specific context behind each contribution as well as presenting the wider context. Finally, the article is suggesting a set of key challenges and research pathways that might be explored in the future.     

An empirical assessment of the cross-national measurement validity of graded paired comparisons

The popular use of graded paired comparisons in empirical studies assessing consumers’ preferences, and the potential effect of cross-national differences in (extreme) response styles on the quality of graded paired comparison data, supply ample reasons for an empirical verification of the cross-national validity of such scales. Using data from a cross-national margarine brand study including fourteen different nations (N = 4,560), we found sufficient statistical evidence for cross-national bias due to existing cross-national differences in extreme responses. However, the low values reported for effect size measures (intra-class correlation coefficient, R ² value) indicated that the impact of the cross-national bias is marginal. The findings from our study provided empirical support for the hypothesis that graded paired comparison data can be meaningfully compared across nations.     

Career plateauing reactions: the moderating role of job scope,role ambiguity and participation among Canadian managers

The purpose of this study is to investigate the moderating effect and the interactive effect of job scope, role ambiguity and participation in decision-making on relationships between career plateauing and outcomes. A cross-sectional survey of 3,065 Canadian managers shows that these job characteristics can contribute to limiting the negative consequences associated with career plateauing. Moreover, in accordance with the theory of work–situation fit, some double moderating effects are found. The attitudes and behaviours of plateaued managers are significantly more positive when their job is richer and offers an opportunity to participate in decision-making. However, contrary to evidence in the literature, results show that reactions to career plateauing are more positive for managers who perceive that their job is richer and their role more ambiguous. Implications and directions for future research are discussed.     

International evidence on the relative importance of the determinants of earnings forecast accuracy

We analyze earnings forecasting errors made by financial analysts for 18 developed countries over the 1990–2006 period. We use the Heston–Rouwenhorst approach to unravel country-, industry-, and firm-specific effects as a source of variation in financial analysts’ earnings forecast errors. We first estimate each effect with a dummy variable regression, and then decompose the variance of forecast errors into different effects. We provide evidence that the differences between countries, industrial sectors, and analyst-following offer a weak explanation for differences in forecast errors. Country effects however largely dominate industry and analyst-following effects. By contrast, the type of earnings (profits or losses)—and variations in earnings (increases or decreases) play a significant role in the forecast accuracy of financial analysts.     

OPTIMAL CONSUMPTION AND PORTFOLIO DECISIONS WITH PARTIALLY OBSERVED REAL PRICES

We consider optimal consumption and portfolio investment problems of an investor who is interested in maximizing his utilities from consumption and terminal wealth subject to a random inflation in the consumption basket price over time. We consider two cases: (i) when the investor observes the basket price and (ii) when he receives only noisy observations on the basket price. We derive the optimal policies and show that a modified Mutual Fund Theorem consisting of three funds holds in both cases. The compositions of the funds in the two cases are the same, but in general the investor's allocations of his wealth into these funds will differ. However, in the particular case when the investor has constant relative risk-aversion (CRRA) utility, his optimal investment allocations into these funds are also the same in both cases.     

GROWTH, POVERTY, AND INEQUALITY IN LATIN AMERICA: A CAUSAL ANALYSIS, 1970–94

Taking advantage of consistent poverty and income inequality data for 12 Latin American countries between 1970 and 1994, we analyze the determinants of changes in the incidence of urban and rural poverty and in Gini coefficients over spells of years, stressing in particular the role of aggregate income growth. We find that income growth reduces urban and rural poverty but not inequality. We also find that income growth is more effective in reducing urban poverty if the levels of inequality and poverty are lower, and the levels of secondary education higher. We show that there is an asymmetry in the impact of growth on poverty and inequality, with recession having strong negative effects on both poverty and inequality. Since growth does not reduce inequality, economic cycles create ratchet effects on the level of inequality. However, post-structural adjustment growth is quite effective at reducing poverty, particularly if inequality is low.     

Optimal income tax under the threat of migration by top-income earners

We examine how allowing individuals to emigrate to pay lower taxes changes the optimal nonlinear income tax scheme in a Mirrleesian economy. An individual emigrates if his domestic utility is less than his utility abroad, net of migration costs — utilities and costs both depending on productivity. A simple formula, that complements Saez's formula obtained in closed economy, is derived for the marginal tax rates faced by top-income earners. It depends on the labour elasticity, the tax rate abroad and the migration costs expressed as a fraction of the utility obtained abroad. The Rawlsian marginal tax rates, obtained for the whole population, illustrate a curse of the middle-skilled. Simulations are provided for the French economy.