The Last Word on the Wage Curve?

Abstract.  Since 1990, there has been extensive international research on the responsiveness of wages of individuals to changing local labour market conditions. For many countries, an inverse relationship between wages and local unemployment rates has been found. In their book, The Wage Curve , Blanchflower and Oswald argued that the unemployment elasticity of pay is around −0.1 in most countries. In a 1995 literature survey, Card referred to this striking empirical regularity as being close to an 'empirical law of economics'. Nonetheless, reported elasticities do vary, even excluding outliers, between about −0.5 and +0.1. There is also considerable heterogeneity among wage curve studies in terms of data and model specification. This paper carries out meta‐analytic techniques on a sample of 208 elasticities derived from the literature to uncover the reasons for the differences in empirical results across studies. Several causes of variation are identified. There is also clear evidence of downward publication bias. In addition, many reported t ‐statistics are biased upwards due to the use of aggregate unemployment rates. A maximum likelihood method and a trimming procedure are used to correct for these biases. Both methods give similar results for our sample. An unbiased estimate of the wage curve elasticity at the means of study characteristics is about −0.07.     

Trading volume and stock returns: A meta-analysis

I examine 468 estimates on the relationship between trading volume and stock returns reported in 44 studies. I study publication bias together with Bayesian and frequentist model averaging to explain the heterogeneity in the estimates. The results yield three key conclusions. First, publication bias distorts the findings of the primary studies. Second, the predictability of stock returns varies with different markets and stock types. Third, different data characteristics, structural variations and methodologies used drive the heterogeneity in the results of the primary articles. In particular, one should be cautious when using monthly data or VAR models.     

ARE ALL ECONOMIC FACTS GREATLY EXAGGERATED? THEORY COMPETITION AND SELECTIVITY

Abstract ..There is growing concern and mounting evidence of selectivity in empirical economics. Most empirical economic literatures have a truncated distribution of results. The aim of this paper is to explore the link between publication selectivity and theory contests. This link is confirmed through the analysis of 87 distinct empirical economics literatures, involving more than three and a half thousand separate empirical studies, using objective measures of both selectivity and contests. Our meta–meta‐analysis shows that publication selection is widespread, but not universal. It distorts scientific inference with potentially adverse effects on policy making, but competition and debate between rival theories reduces this selectivity and thereby improves economic inference.     

Purposes and paradigms of management accounting: beyond economic reductionism

Neo-classical economics does not of itself provide an adequate explanation of current management accounting practice and research. Ideas from several other disciplines have been used in an attempt to facilitate a more complete understanding of management accounting. There now exists a multiplicity of ‘ways of seeing’ management accounting which adds richness to the literature. This paper first describes a number of the current theoretical-paradigmatic approaches, and then offers a typology for understanding them. It is suggested that each of these schools has different insights to offer the study of management accounting and that attempts to privilege one school over another should be avoided. Management accounting is seen as fulfilling a multiplicity of purposes which can only be understood by analysing the actions of the management accounting actors involved.     

A look into the factor model black box: Publication lags and the role of hard and soft data in forecasting GDP

We derive forecast weights and uncertainty measures for assessing the roles of individual series in a dynamic factor model (DFM) for forecasting the euro area GDP from monthly indicators. The use of the Kalman smoother allows us to deal with publication lags when calculating the above measures. We find that surveys and financial data contain important information for the GDP forecasts beyond the monthly real activity measures. However, this is discovered only if their more timely publication is taken into account properly. Differences in publication lags play a very important role and should be considered in forecast evaluation.     

Biases in fiscal multiplier estimates

The size of fiscal multipliers is intensively debated as large (small) multipliers provide arguments to expand (cut) public spending. We use data on multiplier estimates from over a hundred scholarly studies, and ask whether the national imprint and various incentives that the authors face can help explain the large observed variance in these estimates. We complement this meta-analytical data with information on economists’ personal characteristics collected from their biographies and through a self-conducted survey. Our evidence is consistent with the hypothesis that national background and policy orientation of researchers matter for the size of multiplier estimates. We only find weak support for the hypothesis that the interests of donors financing the research are relevant. Significant biases largely disappear for teams of international co-authors.     

Publishing characteristics,geographic dispersion and research traditions of recent international accounting education research

This paper describes, analyses and critiques accounting education research over the period 2005–2009. In doing so, it compares and contrasts the distinctive North American research tradition with that of Europe and the rest of the world. Six journals and 446 publications by 963 authors were included in the sample frame, along with a further 70 publications in other journals. The findings identify distinguishing characteristics among these publications that range from the composition of their editorial teams to the nature and type of output they publish. Evidence was found of geographic dominance and divergent research traditions which has mitigated against the development of a genuinely international accounting education research community. Possibilities for further research are identified and guidance for researchers publishing in this field is presented.     

Reference Publication Year Spectroscopy (RPYS) with publications in the area of academic efficiency studies: what are the historical roots of this research topic?

In this study, we explore the historical roots of the relatively new topic in scientometrics of academic efficiency assessments. We are interested in the contributions of researchers from the past which have been revealed as important for the topic in the long run. The technique of Reference Publication Year Spectroscopy (RPYS) has been recently introduced which is based on the analysis of the frequency with which references are cited in the publications of a specific research field (here: academic efficiency assessments). The study is based on papers conducted for a systematic review of empirical articles on technical efficiency in academic research production: 60 papers (published between 1992 and 2012) and 1314 cited references. Results indicated that 5 peaks are clearly identifiable until 2000. They correspond, respectively, to the years 1957 (The founding article of Farrell), 1978 (Proposition of a new promising approach: the Data Envelopment Analysis (DEA) by Charnes et al.), 1988 (Research-teaching multi-output model and integration of quality indicators), 1990 (DEA in the service of Research Assessment Exercise) and 1997 (Introduction of weight restrictions in DEA). The peaks are described with the underlying publications and recent developments (since 2000) in the area of academic efficiency studies are outlined.     

DOES EDUCATION REALLY IMPROVE HEALTH? A META‐ANALYSIS

While numerous studies assess the relationship between education and health, no consensus has been reached on whether education really improves health. We perform a meta‐analysis of 4866 estimates gleaned from 99 published studies that examine the health effects of education. We find that the current literature suffers from moderate publication bias towards the positive effects of education on health. After correcting for publication bias with an array of sophisticated methods, we find that the overall effect size is practically zero, indicating that education generates no discernible benefits to health. The heterogeneity analysis by Bayesian Model Averaging (BMA) and Frequentist Model Averaging (FMA) reveals that the reported estimates can be largely explained by whether the econometric models control for endogeneity of education, the types of data and the differences in health measurements. Our results also suggest that education may not be an effective policy option for promoting population health.     

Investigating Information Systems Research in Canada

This project reports on the state of Information Systems (IS) research in Canada by analyzing research output and impact of Canadian IS scholars appearing in the form of peer‐reviewed journal articles. Specifically, we (a) measured individual productivity and impact, (b) measured institutional productivity and impact, (c) listed journals in which these works have appeared, (d) identified the most influential articles, (e) developed a ranking of IS scholarly journals from a Canadian perspective, and (f) compared the obtained journal ranking with the global IS journal rankings. Based on the findings, it was concluded that the Canadian IS discipline exhibits signs of academic maturity. Copyright © 2011 ASAC. Published by John Wiley & Sons, Ltd.