Statistical Inference,Learning and Models in Big Data

The need for new methods to deal with big data is a common theme in most scientific fields, although its definition tends to vary with the context. Statistical ideas are an essential part of this, and as a partial response, a thematic program on statistical inference, learning and models in big data was held in 2015 in Canada, under the general direction of the Canadian Statistical Sciences Institute, with major funding from, and most activities located at, the Fields Institute for Research in Mathematical Sciences. This paper gives an overview of the topics covered, describing challenges and strategies that seem common to many different areas of application and including some examples of applications to make these challenges and strategies more concrete.     

Journal Impact as a Diffusion Process: A Conceptualization and the Case of the Journal of Management Studies

While the question of what makes a journal impactful continues to draw scholarly attention and debate, the lack of conceptual foundation as to what journal impact represents, and how it manifests itself, has impeded efforts to establish a richer understanding. Drawing from the theory of innovation diffusion, we propose journal impact as a multidimensional concept manifested most prominently in the magnitude, prestige, breadth, dispersion, and duration dynamics of citations accruing to a journal. In doing so, we complement extant representations of journal impact as a unidimensional concept with insights into the pattern and profile of a journal impact across space and time. We illustrate the multidimensionality of journal impact as a diffusion process in a longitudinal analysis of citation patterns at the Journal of Management Studies over a 40‐year period.     

Top Management Compositional Effects on Corporate Entrepreneurship: The Moderating Role of Perceived Technological Uncertainty

Because corporate entrepreneurship (CE) is central to firms' ability to compete, adapt, and perform in increasingly turbulent environments, there is a great interest in understanding its origins. To date, prior studies have overwhelmingly focused on the architectural factors—the structures, cultures, resources, and incentives—that shape entrepreneurial processes within organizations and the environmental conditions that stimulate entrepreneurial activity. However, some researchers have recently begun to argue that the requirements and challenges of CE fall most saliently on the shoulders of the firm's top management team. Focusing on various aspects of top managers' activities, roles, and processes, this line of research demonstrates the enabling role of top management teams in their firm's pursuit of CE. We extend this research by examining the impact of top management team composition in terms of human capital and social capital on CE. Additionally, because external environment perceptions within top teams shape their sociopolitical process and framing of the issues facing their firms, we submit that a team's level of perceived technological uncertainty moderates the impact of the team's human and social capital on CE. We find support for these arguments using multisource data from a sample of 99 high‐technology firms. The discussion finally traces the implications of our theory and findings for research and managerial understanding on CE.     

Henry George, Emile de Laveleye, and the Issue of Peasant Proprietorship

A bstract .   In Emile de Laveleye's demonstration that communal landholding was universally a characteristic of primitive societies, Henry George saw evidence of a golden age before the development of private ownership of land. Though he agreed with George that unequal access to land was a major cause of the social evil of poverty, de Laveleye did not consider it the sole cause of poverty. Where George would nationalize land rent, de Laveleye would make private ownership more widespread; and he faulted George for giving too little attention to the question of how government would use the revenue from a land tax, and for failing to consider the concentration of capital as a cause of poverty.     

Assessment Lags and Property Tax Impacts

Abstract . A major administrative problem of the property tax is the difficulty of maintaining current assessments. If real estate is not reassessed as market values change, then the real tax rates on market value will diverge from the statutory rates. Within any taxing jurisdiction those properties with the highest rate of increase in market value will be taxed at the lowest real rate, while those with the lowest (including negative) rate of increase in market value will be taxed at the highest real rate. This investigation develops a straightforward method for calculating differentials in effective tax rates and describes the economic impacts of these differentials.     

Modelling the Distributional Impact of the COVID-19 Crisis*

The COVID-19 emergency has had a dramatic impact on market incomes and income-support policies. The lack of timely available data constrains the estimation of the scale and direction of recent changes in the income distribution, which in turn constrains policymakers seeking to monitor such developments. We overcome the lack of data by proposing a dynamic calibrated microsimulation approach to generate counterfactual income distributions as a function of more timely external data than are available in dated income surveys. We combine nowcasting methods using publicly available data and a household income generation model to perform the first calibrated simulation based upon actual data, aiming to assess the distributional implications of the COVID-19 crisis in Ireland. Overall, we find that the crisis had an equalizing real-time effect for both gross and disposable incomes, notwithstanding the significant hardship experienced by many households.     

Executive Pay Matters: Looking Beyond the CEO to Explore Implications of Pay Disparity on Non‐CEO Executive Turnover and Firm Performance

Using a longitudinal data set covering a span of 10 years, we investigate the impact of vertical and horizontal pay disparity on non‐CEO executive turnover and subsequent firm performance. Hypothesizing differential responses to pay disparity depending on a non‐CEO executive's responsibilities, we first categorize non‐CEO executives based on their job demands and their role in the organization (e.g., oversight, divisional). We then explore how pay disparity influences the relationship between executive category and turnover, and how the level of pay disparity impacts the relationship between turnover and firm performance. We find that executive category significantly impacts the likelihood of turnover, and also influences firm performance. Theoretical and practical implications are discussed. © 2015 Wiley Periodicals, Inc.     

Decomposing polarisation across developing countries: case study of China,India, and Indonesia

We investigate the contributions of various factors in the differences in polarisation across China, India, and Indonesia using micro‐simulation and decomposition methods. Using household expenditure from harmonised data from these countries, China was found to have the highest polarisation, while India has the lowest. Using India as the base country, the differences in the labour market structures in India and Indonesia have a slightly decreasing effect on polarisation. The effects of the differences in demographic composition and expenditure structures/parameters, however, are uncertain. Further, the differences in polarisation between China and Indonesia can be explained mostly by the differences in the expenditure structures. China's expenditure structure tends to increase polarisation, as evidenced by the resulting reduction in the size of the middle class.