THE ROLE OF TIME SERIES ANALYSIS IN STUDIES OF ACCOUNTING POLICY CHOICE: A COMMENT

The study by Anderson and Zimmer [1992] of goodwill accounting policies uses a pooled time series experimental design. This approach can add substantially to our understanding of accounting policy choices, but not in the manner used by Anderson and Zimmer. Where accounting policy choices are believed to be independent from one period to the next, then a time series approach can greatly enhance our ability to capture the influence on such policy choices of changing circumstances, more so than a simple cross-sectional test. Conversely, if accounting policy choices are not independent between periods, pooling over time can overstate significance levels of statistical tests. The nature of Anderson and Zimmer's data makes the impact indeterminate. However, even under an extreme assumption, pre-regulation evidence remains significant at conventional levels.     

THE HARROD–BALASSA–SAMUELSON HYPOTHESIS: REAL EXCHANGE RATES AND THEIR LONG‐RUN EQUILIBRIUM*

Frictions and perturbations may influence currency values in the short run, but it is generally acknowledged that real‐exchange rates eventually settle toward equilibrium. The puzzle then is how gradually this parity is reached given the fluidity in foreign exchange markets. Persistent differences in the relative productivity of countries—a broad characterization of the Harrod–Balassa–Samuelson hypothesis—may help explain this puzzle. This article introduces methods to estimate equilibrium adjustment paths semiparametrically, and then sort how each of these components influences the dynamics of exchange rates. This is done in a dynamic panel setting by introducing novel local projections methods for cointegrated systems. Productivity shocks affect dynamics, and after adjusting for these factors, adjustment toward equilibrium is relatively rapid.     

Proximity, knowledge integration and innovation: an agenda for agent-based studies

In this paper, we develop a theoretical model able to capture some of the main features that govern knowledge sharing and innovation. We pursue our target developing an agent-based model in which the social network of interactions is specified as a knowledge resource, and knowledge integration is seen as the process by which the resource can be applied to innovation. The results of the simulation exercises show that the initial architecture of acquaintance networks is a crucial factor for innovation. Innovating has proven to be more than simply equating endowments of initial skills with firm performance. In fact, the performance of the system showed high sensitivity to the arrangement of the firm’s initial location in the social network. Moreover, the way in which acquaintance networks were mobilized emerged as a key determinant of innovation patterns. The model presented here is a relatively theoretical, stylized model and we employ it to draw some general, albeit preliminary conclusions, while illustrating some of the theory relevant to the issues discussed. It is argued that the model might serve the purpose of setting an agenda for further research along this line of investigation—that is, knowledge integration patterns and firms partnerships formation.     

Leadership competencies: An exploratory study of what is important now and what has changed since the terrorist attacks of 9/11

This exploratory study attempts to identify the leadership competencies that managers believe are needed to be successful across different managerial levels and organization types (manufacturing, finance, insurance, and banking, health, transportation, communications, and utilities, wholesale and retail trade, private nonprofit, and public) and presents an analysis of whether changes in the importance of certain leadership competencies over time coincided with the 9/11 terrorist attacks in the United States. Our findings suggest that the leadership competencies leading employees and resourcefulness were the most important across all managerial levels and organization types studied. Moreover, leadership competencies important (or not important) for one managerial level or organization type seem to be important (or not important) for others. Furthermore, leadership competencies important before 9/11 remained important immediately after 9/11, 2 years after 9/11, and are still important today. These findings may have implications for leadership training and development, selection, and succession planning.     

Unleashing the Power of Networks: Shareholder Activism,Sustainable Development and Corporate Environmental Policy

In recent years, a new trend has emerged in which shareholder activists have formed networks to empower shareholders and magnify shareholder voices. This study explores the structural patterns and effectiveness of shareholder activism networks and shows how those networks affect corporate sustainability policies. We draw upon stakeholder influence theory, stakeholder network management theory and recent studies on activism networks to examine a shareholder activism network formed around environmental issues. The study found that (1) the structure of shareholder activist networks is largely driven by organizational attributes such as organization type, organizations’ human resources, media visibility and history; and (2) activist organizations with high centralities and eigenvector centralities enjoy more efficient results. This study contributes to our understanding of the business responses to shareholder demands on improving environmental performance and paves the way for future research on sustainable development through partnerships with shareholder networks. Copyright © 2017 John Wiley & Sons, Ltd and ERP Environment     

Executive Compensation and Financial Performance Measures: Evidence from Significant Financial Institutions

We survey the use of financial performance measures in determining executive pay among significant Australian financial institutions. We document evidence of the pervasiveness with which externally disclosed non‐GAAP (non‐Generally Accepted Accounting Principles) financial measures are also used internally to determine variable remuneration, with the apparent popularity of cash profit after tax in short‐term incentives plans. Our evidence also highlights the increasing use of peer group‐adjusted measures (e.g., relative cash earnings per share and return on equity ranking against a peer group) in determining longer‐run incentives, despite the fact that members of the peer group do not measure financial performance in a directly comparable manner. Detailed analysis of the four major trading banks (Australia and New Zealand Banking Group, Commonwealth Bank, National Australia Bank and Westpac) reveals differences in the way non‐GAAP earnings measures are calculated across the major banks, as well as some variation over time in the way individual banks measure performance. We also document evidence of non‐GAAP earnings restatements, with around 25% of non‐GAAP results subsequently being restated. These restatements are more likely to result in a downward revision of the initially reported non‐GAAP result than an upward revision. We therefore conclude that existing measures of financial performance used to determine senior executive compensation are not as ‘objective’, as might be assumed.     

A model of biased intermediation

We study situations in which consumers rely on a biased intermediary's advice when choosing among sellers. We introduce the notion that sellers' and consumers' payoffs can be congruent or conflicting, and show that this has important implications for the effects of bias. Under congruence, the firm benefiting from bias has an incentive to offer a better deal than its rival and consumers can be better‐off than under no bias. Under conflict, the favored firm offers lower utility, and bias harms consumers. We study various policies for dealing with bias and show that their efficacy also depends on whether the payoffs exhibit congruence or conflict.     

How efficient is the market for Australian firms’ earnings information?

We construct a measure of the speed with which forecasts issued by sell-side analysts accurately forecast future annual earnings. Following Marshall, we label this measure earnings information flow timeliness (EIFT). This measure avoids the aggregation problem inherent in price-based measures of information efficiency. We document large variation in EIFT across firm-years, and show that EIFT is positively associated with the extent of analyst following, consistent with increased analyst coverage improving the speed with which earnings-related information is recognised. We also find that EIFT is higher for firm-years classified as ‘bad news’ (i.e., where analysts’ forecasts at the start of the financial period exceed the reported outcome). However, when we separately consider instances where analysts appear to forecast non-GAAP (or ‘street’) earnings rather than GAAP earnings, we find that the greater timeliness of bad news is concentrated among observations where analysts forecast non-GAAP earnings, where unusual items are typically excluded. We conclude that the market for accounting information is more efficient for negative operating outcomes than for negative outcomes reflecting unusual items.     

Using paradata to collect better survey data: Evidence from a household survey in Tanzania

Data are a key component in the design, implementation, and evaluation of economic and social policies. Monitoring data quality is an essential part of any serious, large‐scale data collection process. The purpose of this article is to show how paradata should be used before, during, and after data collection to monitor and improve data quality. To do this we use timestamps, global positioning system (GPS) coordinates, and other paradata collected from an 800‐household survey conducted in Tanzania in 2016. We demonstrate how key paradata can be used during each phase of a research project to identify and prevent issues in the data and the methods used to collect it. Our results corroborate the importance of collecting and analyzing paradata to monitor fieldwork and ensuring data quality for micro data collection in developing countries. Based on these findings we also make recommendations as to how researchers can make better use of paradata in the future to manage and improve data quality. We argue for an expansion in the understanding and use of varied paradata among researchers, and a greater focus on its use for improving data quality.