Disclosure‐protected Inference Using Generalised Linear Models

Vast amounts of data that could be used in the development and evaluation of policy for the benefit of society are collected by statistical agencies. It is therefore no surprise that there is very strong demand from analysts, within business, government, universities and other organisations, to access such data. When allowing access to micro‐data, a statistical agency is obliged, often legally, to ensure that it is unlikely to result in the disclosure of information about a particular person or organisation. Managing the risk of disclosure is referred to as statistical disclosure control (SDC). This paper describes an approach to SDC for output from analysis using generalised linear models, including estimates of regression parameters and their variances, diagnostic statistics and plots. The Australian Bureau of Statistics has implemented the approach in a remote analysis system, which returns analysis output from remotely submitted queries. A framework for measuring disclosure risk associated with a remote server is proposed. The disclosure risk and utility of approach are measured in two real‐life case studies and in simulation.     

The impact of earnings expectations on corporate downsizing

Research Summary: We propose that due to financial market pressures, managers are forward‐looking in their search and decision processes and focus on meeting performance targets set by the financial community. Using panel data on S&P 100 companies, we find that pressure felt by management to meet the analyst consensus earnings estimate influences the extent of corporate downsizing. Moreover, our results show that high levels of institutional investor stock ownership and CEO power attenuate managers’ sensitivity to financial market pressures, while high levels of analyst coverage increase their sensitivity. Managerial Summary: In this study we examine how financial market pressures influence managers’ downsizing decisions. We argue that investment analysts’ earnings estimates represent important performance targets to which managers aspire. If firms fail to meet analysts’ expectations, the stock price will suffer. This study shows that managers utilize corporate downsizing to address the potential shortfall between a firm's future performance and the analyst consensus earnings estimate. In addition, we find that managers’ concerns over meeting analysts’ earnings estimates are influenced by various contextual factors such as institutional investor stock ownership, CEO power, and high levels of analyst coverage.     

HOW DO RATING AGENCIES’ DECISIONS IMPACT STOCK MARKETS? A META‐ANALYSIS

The purpose of this study is to examine how credit rating agencies’ decisions impact the stock market using a systematic and quantitative review of existing empirical studies. Specifically, we employ a meta‐regression analysis (MRA) to investigate the extent and nature of the effect of rating agencies’ decisions on the stock market. We survey 62 studies published between 1978 and 2015. Our first finding is that the cumulative average abnormal returns calculated from this empirical literature are affected by publication bias. After controlling for publication bias, the main findings of our meta‐analysis indicate that negative rating decisions cause statistically significant negative abnormal returns. This evidence suggests an informational effect. Our results also indicate that positive rating decisions do not have a significant effect. Finally, the MRA results reveal the importance of several factors related to primary study design, as well as to the nature of the data.     

Instrumental client relationship development among top-ranking service professionals

Informal client contact forms a crucial part of the daily routine of service professionals, in particular among top-ranking professionals working for consultancy and accountancy firms. In this paper, we investigate how 34 service professionals develop informal client contact, by studying their networking styles. Our study shows many similarities in informal client contact between two groups of service professionals grouped by gender, but we also found subtle differences in what we coin instrumental and expressive relations. Contrary to gender stereotypes, we found that female service professionals tended toward instrumental networking styles, using professionalism and distance and allowing the high quality of their work compensate for network deficits, contingent upon their clients’ gender. Male service professionals drew on expressive relations to develop emotional bonding with their male clients in particular, but nonetheless toward instrumental purposes. Our study contributes to service industries literature by theoretically and empirically establishing the different informal networking styles between top-ranking service professionals, and the role of emotional bonding in particular. In doing so, the paper helps to better understand the intricacies of informal client contact as a critical dimension of the professional services industry.     

The Essential Role of Sense of Community in a Youth Sport Program

This multiphased study identifies the salient benefits that parents seek for their families from a youth sport program. Phase 1, a preseason focus group study of parents of swimmers in three clubs (N = 15), indicated parents seek a sense of community for their children and themselves, and sense of community is linked to their desire for children to learn sport and life skills. Phase 2, a postseason survey of parents in the same three clubs (N = 129), tested the relationships among coaching quality, friendships, organizational communication, sport and life skills, sense of community, parents' satisfaction, and their repeat purchase intention. Using path analysis, sense of community was identified as the key driver of satisfaction and repeat purchase intention, with swimming improvement also having a significant effect on satisfaction. These findings highlight the central role sense of community plays for participants and their families in youth sport contexts.     

Developmental Rent Management Analysis: Learning,Upgrading, and Innovation

In this article, I construct an original analytical framework, called the developmental rent management analysis (DRMA), for the analysis of rents and rent management. This framework is based on the premise that successful rent management depends on political and institutional arrangements to produce incentives and pressures for technical upgrading and innovation. This is because, while rents are created for a variety of purposes, rent outcomes — whether growth-enhancing or growth-reducing — depend on a set of political, institutional, and market conditions that take place formally and informally. Therefore, the key objective of the DRMA framework is to understand how a country’s politics, institutions, and industries are configured to incentivize and compel industrial upgrading. Thus, DRMA enables a broader and more complex understanding of the various factors at play in the process of development. I provide an illustrative application of the DRMA framework using the Vietnamese experience of adopting third-generation technology in the telecommunications industry.     

Umgang mit Aggressionen

Herausforderndes Verhalten bei Demenz - Wenn Aggression, erh?hter Bewegungsdrang, starke Orientierungsprobleme, Selbst- und Fremdgef?hrdung oder andere „herausfordernde“ Verhaltensweisen auftreten, wird die Pflege und Begleitung von Demenzkranken als Belastung erlebt. Doch Pflegende stehen dem Problem nicht hilflos gegenüber. Eine interdisziplin?re Expertengruppe gibt mit ihren Empfehlungen ein Handlungsgerüst.     

Wage differences between Austrian men and women: <Emphasis Type="Italic">semper idem?</Emphasis>

In most OECD countries, the wage gap between men and women has narrowed during the past two decades. Developments of the last 20 years, e.g., increased labour market attachment of women or the introduction of equal pay laws, may have reduced the gender wage gap. We investigate the extent, persistence, and socio-economic determinants of the gender wage gap in Austria, for the years 1983 and 1997. Using wage decomposition techniques, we find that the average gender wage gap was almost as high in 1997 as it was in 1983. Not accounting for differences, the gender wage gap dropped from 25.5 to 23.3% of men’s wages. Taking observable differences between men and women into account, we estimate that the mean gender wage gap that cannot be explained, i.e., discrimination against women, dropped from 17 to 14% of men’s wages. A decomposition of the gender wage gap over time indicates that both returns to human capital and less discrimination were responsible for the narrowing of the gender wage gap.