Search results

The objective of this paper is to evaluate the learning gap between private and public school children in primary school, and ascertain the part of the private–public school learning gap that is due to differences in observables and the part that can be attributed to private school effect.

The paper utilized a household survey data from Ghana that assessed children on numeracy and literacy in both English and local languages. The primary methodology for this study is non-linear Oaxaca decomposition. The study also utilized Welch's t-statistics to test if there are any differences in the private–public school learning gaps across several sub-groups.

Findings from this study show a substantial gain for private school attendance on both numeracy and literacy. The results show that a little over 60% of the total learning gap in numeracy and literacy in English is explained by observable characteristics. However, observable characteristics almost explain all the learning gaps in the reading and writing of local languages. Evidence from the study suggests that the private school effect is homogeneous across several sub-groups. The results reveal years of education, expenditure on extra classes, religion and urbanicity as the most important variables explaining the gap that is caused by differences in observables.

Despite the belief that private school children in Ghana have better learning outcomes, there has not been any study to quantify this learning gap in the country and this study fills this gap. While there is literature on the differences in the learning outcomes between public and private schools, those studies have focused on the differences that are attributable to the private school effect. This article does not only present the differences in the learning outcomes but also shows the proportion that is due to observable characteristics and the part that can be attributed to the private school effect.

The purpose of this article is to examine the communicative factors that facilitate or hamper the development of an inclusive work environment with an emphasis on the communication about equality, diversity, and inclusion (EDI), while taking diversity characteristics of employees into account.

In total, 84 persons employed in Austria and Germany, who feature various observable and non-observable diversity characteristics, were interviewed following a problem-centered approach.

The results indicate that employees with (observable) diversity characteristics, who tend to feel less included, observe more excluding and marginalizing communication and practices in their organizations. Moreover, formal interpersonal communication appears to be more important to develop a highly inclusive workplace than informal interpersonal communication and other forms of communication about EDI.

The sample was rather imbalanced and comprised only employees in Austria and Germany, which limits the study's explanatory power. However, the findings stress the significance of formal interpersonal communication as the cornerstone of an inclusive workplace, which should be followed up in future research.

In terms of the development of an inclusive work environment the findings suggest that strategic (i.e. formal) organizational communication about EDI issues is key to increase the perception of inclusion.

This paper contributes to the literature by demonstrating the importance of interpersonal communication as a key factor that facilitates, but also hampers an inclusive work environment.

Nonfamily farms are responsible for a disproportionate amount of US agriculture production. The importance of these operations to the volume of agriculture production in the United States has led researchers and policymakers to understand nonfamily farms as large commercial operations. This paper examines whether the distinction between family and nonfamily helps explain the financial outcomes of farm operations and households.

We test for differences in financial outcomes of the household and operations of family and nonfamily farms using an Oaxaca-Blinder decomposition. We compare these results to a decomposition of other possible typologies.

We present evidence that nonfamily farms are a heterogeneous group with a majority of small operations that are dominated by a small number of large operations. We discover that differences associated with the family-nonfamily distinction are largely explained by observable farm and operator characteristics that arise mechanically from the definition. However, we find suggestive evidence that family-nonfamily classification captures differences in economic behavior that lead to higher profitability measures to nonfamily farms. We find little evidence of any inherent structural differences between family and nonfamily farms that helps explain financial outcomes related to leverage or household finances.

We conclude that including nonfamily farms in official statistics of farm households may provide a more comprehensive overview of the farm sector, as our results suggest that family and nonfamily farms do not have innate differences that help explain many of their financial outcomes.

We incorporate previously unused data on nonfamily farm households and test the difference in mean financial outcomes between family and nonfamily farms.

Identifying the fundamental characteristics of meaning and deriving an automated meaning‐analysis procedure for machine intelligence.

Semantic category theory (SCT) is an original testable scientific theory, based on readily available data: not assumptions or axioms. SCT can therefore be refuted by irreconcilable data: not opinion.

Human language involves four totally independent semantic categories (SC), each of which has its own distinctive form of “Truth”. Any sentence that assigns the characteristics of one SC to another SC involves what is termed here “Semantic Intertwine”. Semantic intertwine often lies at the core of semantic ambiguity, sophistry and paradox: problems that have plagued human reason since antiquity.

SCT is applicable to any endeavour involving human language. Research applications are therefore somewhat extensive. For example, identifying metaphors posing as science, or natural language processing/translation, or solving disparate paradox types, as illustrated by worked examples from: The Liar Group, Sorites Inductive, Russell's Set Theoretic and Zeno's Paradoxes.

To interact successfully with human language, behaviour, and belief systems, as well as their own environment, intelligent machines will need to resolve the semantic component/intertwines of any sentence. Semantic category analysis (SCA), derived from SCT, and also described here, can be used to analyse any sentence or argument, however complex.

Both SCT and SCA are original. Whilst “category error” is an intuitive notion, the observably precise nature, number and modes of interaction of such categories have never previously been presented. With SCT/SCA the rigorous analysis of any argument, whether foisted, valid, or obfuscating, is now possible: by man or machine.

The authors' work aims to identify the employer-specific drivers of the college (or university) wage gap, which has been identified as one of the major determinants of the dynamics of overall wage and income inequality in the past decades. The authors focus on three employer-level features that can be associated with asymmetries in the employment relation orientation adopted for college and non-college-educated employees: (1) size, (2) the share of standard employment and (3) the pervasiveness of incentive pay schemes.

The authors' establishment-level analysis (data from the Basic Survey on Wage Structure (BSWS), 2005–2018) focusses on Japan, an economy characterised by many unique economic and institutional features relevant to the aims of the authors' analysis. The authors use an adjusted measure of firm-specific college wage premium, which is not biased by confounding individual and establishment-level factors and reflects unobservable characteristics of employees that determine the payment of a premium. The authors' empirical methods account for the complexity of the relationships they investigate, and the authors test their baseline outcomes with econometric approaches (propensity score methods) able to address crucial identification issues related to endogeneity and reverse causality.

The authors' findings indicate that larger establishment size, a larger share of regular workers and more pervasive implementation of IPSs for college workers tend to increase the college wage gap once all observable workers, job and establishment characteristics are controlled for. This evidence corroborates the authors' hypotheses that a larger establishment size, a higher share of regular workers and a more developed set-up of performance pay schemes for college workers are associated with a better capacity of employers to attract and keep highly educated employees with unobservable characteristics that justify a wage premium above average market levels. The authors provide empirical evidence on how three relevant establishment-level characteristics shape the heterogeneity of the (adjusted) college wage observed across organisations.

The authors' contribution to the existing knowledge is threefold. First, the authors combine the economics and management/organisation literature to develop new insights that underpin the authors' testable empirical hypotheses. This enables the authors to shed light on employer-level drivers of wage differentials (size, workforce composition, implementation of performance-pay schemes) related to many structural, institutional and strategic dimensions. The second contribution lies in the authors' measure of the “adjusted” college wage gap, which is calculated on the component of individual wages that differs between observationally identical workers in the same establishment. As such, the metric captures unobservable workers' characteristics that can generate a wage premium/penalty. Third, the authors provide empirical evidence on how three relevant establishment-level characteristics shape the heterogeneity of the (adjusted) college wage observed across organisations.

This paper estimates the financial returns to higher education quality in the UK. To account for the selectivity of students to institution, we rely on a selection on observable assumption. We use several estimates including the Generalised Propensity Score (GPS) of Hirano and Imbens, which relies on a continuous measure of institutional quality. This highlights that the returns to quality are heterogeneous and mostly driven by high-quality institutions. Moving from an institution in the third quality quartile to a top quality institution is associated with a 7% increase in earnings.

The purpose of this paper is to study two native and equal population groups, Finnish speakers and Swedish speakers in Finland, to examine whether there is income variation across couples that differ on ethno-linguistic composition, and if such variation can be attributed to differences in education, educational homogamy and other observable characteristics.

Using detailed register-based household data, the authors estimate OLS models to compare endogamous and exogamous couples with respect to income of the man, the woman, and both partners, respectively.

Endogamous Swedish-speaking couples are found to have on average 25 per cent higher income than other couples. The advantage is not related to differences in educational homogamy, but primarily to man’s income, and roughly half of the income difference is explained by the higher educational level of Swedish-speaking men in endogamous couples. Although women in endogamous Swedish-speaking couples are higher educated than other women, and there is a higher degree of educational homogamy in these couples, their education has only a modest bearing on the income differential.

In the case of Finland, educational homogamy does not affect income variation across native couples that differ on ethno-linguistic composition. Endogamous mate selection seems to increase economic inequality, uphold gender inequality, and help the native minority group in sustaining its own community.

The purpose of this paper is to examine differences between Hispanic and Asian immigrants and their preferences in the appearance of and interaction with salespeople.

A total of 171 female Hispanic and 153 Asian female retail consumers in a midwestern city, who immigrated to the USA, were surveyed. Salesperson‐customer interaction and preference for salespeople with a similar ethnic appearance were assessed.

Findings from F‐tests indicated that in this study Asians have a significantly greater preference for a salesperson similar in appearance to themselves and Hispanics have significantly greater preference for salespeople who offer attentive service.

Retailers will benefit by understanding and capitalizing on differences which will encourage customer loyalty to their retail stores.

Extending the observable characteristics facet of the buyer‐seller similarity model, the research results suggest that buyers from different ethnic groups will assess salesperson characteristics differently.

This study aims to investigate the effect of smoking on the income of workers in the Brazilian labor market.

Using data from the 2019 National Health Survey (PNS), we initially address the sample selection bias concerning labor market participation by using the Heckman (1979) method. Subsequently, the decomposition of income between smokers and nonsmokers is analyzed, both on average and across the earnings distribution by employing the procedure of Firpo, Fortin, and Lemieux (2009) - FFL decomposition. Ñopo (2008) technique is also used to obtain more robust estimates.

Overall, the findings indicate an income penalty for smokers in the Brazilian labor market across both the average and all quantiles of the income distribution. Notably, the most significant differentials and income penalties against smokers are observed in the lower quantiles of the distribution. Conversely, in the higher quantiles, there is a tendency toward a smaller magnitude of this gap, with limited evidence of an income penalty associated with this habit.

This study presents an important limitation, which refers to a restriction of the PNS (2019), which does not provide information about some subjective factors that also tend to influence the levels of labor income, such as the level of effort and specific ability of each worker, whether smokers or not, something that could also, in some way, be related to some latent individual predisposition that would influence the choice of smoking.

The relevance of the present study is clear in identifying the heterogeneity of the income gap in favor of nonsmokers, as in the lower quantiles there was a greater magnitude of differentials against smokers and a greater incidence of unexplained penalties in the income of these workers, while in the higher quantiles, there was low magnitude of the differentials and little evidence that there is a penalty in earnings since the worker is a smoker.