Following the story: narrative mapping as a mobile method for tracking and interrogating spatial narratives

Museums and heritage tourism sites are highly curated places of memory work whose function is the assembling and ordering of space and narrative to contour visitors’ experiences of the past. Variations in such experiences within and between sites, however, necessitates a method that: (1) captures how guides, visitors, and exhibits interact within spaces when representing and performing history and (2) allows researchers to document those variations. We developed narrative mapping, a mobile and geographically sensitive form of participant observation, to enable museum scholars and professionals to systematically capture, visualize, and interpret tendencies and variations in the content, affective qualities, and spatial arrangements of museum narratives over multiple sites and across multiple tours at the same site. Two antebellum plantation museum case studies, Laura Plantation in Louisiana and Virginia’s Berkeley Plantation, demonstrate the method’s utility in documenting how stories are spatially configured and materially enlivened in order to analyze the ways enslaved persons are placed within these narratives.     

Developing Accounting Regulations that Reflect Public Viewpoints: The Australian Solution to Differential Reporting

In this paper, we analyse the factors that have shaped the approach taken by the Australian Accounting Standards Board (AASB) in addressing the issue of differential reporting in Australia. In contrast to its early adoption of International Financial Reporting Standards in 2005, the AASB has signalled an independent approach to differential reporting. Still in progress at the time of writing, we show how the AASB's approach has been shaped by feedback from key stakeholder groups, as well as by influential individuals and key events. In the face of strongly held views on both sides of the debate, the Board has moved from reliance on discursive techniques to develop and justify proposed policies to embracing to a greater extent, the use of more objective research evidence to resolve the empirical questions presented in the public debate.     

Nonlinear Time Series Modelling: An Introduction

Recent developments in nonlinear time series modelling are reviewed. Three main types of nonlinear model are discussed: Markov Switching, Threshold Autoregression and Smooth Transition Autoregression. Classical and Bayesian estimation techniques are described for each model. Parametric tests for nonlinearity are reviewed with examples from the three types of model. Finally forecasting and impulse response analysis is developed.     

Markov switching in disaggregate unemployment rates

We develop a dynamic factor model with Markov switching to examine secular and business cycle fluctuations in the U.S. unemployment rates. We extract the common dynamics amongst unemployment rates disaggregated for 7 age groups. The framework allows analysis of the contribution of demographic factors to secular changes in unemployment rates. In addition, it allows examination of the separate contribution of changes due to asymmetric business cycle fluctuations. We find strong evidence in favor of the common factor and of the switching between high and low unemployment rate regimes. We also find that demographic adjustments can account for a great deal of secular changes in the unemployment rates, particularly the abrupt increase in the 1970s and 1980s and the subsequent decrease in the last 18 years. First Version Received: December 2000/Final Version Received: June 2001     

A nonlinear approach to US GNP

A univariate nonlinear model is estimated for US GNP that on many criteria outperforms standard linear models. The estimated model is of the threshold autoregressive type and contains evidence of asymmetric effects of shocks over the business cycle. In particular the nonlinear model suggests that the post-1945 US economy is significantly more stable than the pre-1945 US economy.     

Accounting as a social and institutional practice: perspectives to enrich our understanding of accounting change

In the past two decades, a body of literature has developed which depicts accounting as a social and institutional practice. Researchers adopting this perspective typically demonstrate an appreciation for the pervasive and enabling characteristics of accounting and an awareness of the importance of local, time-specific factors which shape accounting change within particular instances. This work examines this literature and classifies its content using the themes identified by Miller (1994 ). Drawing upon aspects of this literature, the final sections develop a broad, thematic framework to assist researchers in future studies directed at understanding the diverse and complex processes through which changes to the accounting domain can occur.