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Articles 1 - 13 of 13
Full-Text Articles in Social and Behavioral Sciences
Are Low-Skill Public Sector Workers Really Overpaid? A Quasi-Differenced Panel Data Analysis, Peter Siminski
Are Low-Skill Public Sector Workers Really Overpaid? A Quasi-Differenced Panel Data Analysis, Peter Siminski
Faculty of Commerce - Papers (Archive)
Public–private sectoral wage differentials have been studied extensively using quantile regression techniques. These typically find large public sector premiums at the bottom of the wage distribution. This may imply that low skill workers are ‘overpaid’, prompting concerns over efficiency. We note several other potential explanations for this result and explicitly test whether the premium varies with skill, using Australian data. We use a quasi-differenced Generalized Method of Moments (GMM) panel data model which has not been previously applied to this topic, internationally. Unlike other available methods, this technique identifies sectoral differences in returns to unobserved skill. It also facilitates a …
Biclustering: Overcoming Data Dimensionality Problems In Market Segmentation, Sara Dolnicar, Sebastian Kaiser, Katie Lazarevski, Friedrich Leisch
Biclustering: Overcoming Data Dimensionality Problems In Market Segmentation, Sara Dolnicar, Sebastian Kaiser, Katie Lazarevski, Friedrich Leisch
Faculty of Commerce - Papers (Archive)
Data-driven market segmentation is a popular and widely used segmentation method in tourism. It aims to identify market segments among tourists who are similar to each other, thus allowing a targeted marketing mix to be developed. Typically data used to segment tourists are characterized by small numbers of respondents and large numbers of survey questions. Small samples and numerous questions cause serious methodological problems that have typically been addressed by using factorcluster analysis to reduce the dimensionality of data. Recently, factor-cluster analysis has been shown as an unacceptable solution to the problem of high data dimensionality in segmentation. In this …
The Efficacy Of Utilising Nvivo For Interview Data From The Electronic Gaming Industry In Two Jurisdictions, June Buchanan, Michael L. Jones
The Efficacy Of Utilising Nvivo For Interview Data From The Electronic Gaming Industry In Two Jurisdictions, June Buchanan, Michael L. Jones
Faculty of Commerce - Papers (Archive)
Quantitative methodologies have long utilised computer assisted software for data analysis. In more recent times, increasingly sophisticated computer assisted software has been developed to aid in the analysis of qualitative data. This paper discusses the use of one such computer assisted software analysis package – NVivo – in the analysis of interview data obtained from respondents in the Electronic Gaming Machine Industry across two jurisdictions, namely New South Wales, Australia and Nevada, USA . The efficacy of utilising qualitative methods for generating empirical data in social and societal marketing is acknowledged, particularly when very little, if any, primary data exists …
Identifying And Measuring Factors Of Technical Inefficiency: Evidence From Unbalanced Panel Data Of Thai Listed Manufacturing Enterprises, Yot Amornkitvikai, Charles Harvie
Identifying And Measuring Factors Of Technical Inefficiency: Evidence From Unbalanced Panel Data Of Thai Listed Manufacturing Enterprises, Yot Amornkitvikai, Charles Harvie
Faculty of Commerce - Papers (Archive)
This study employs stochastic frontier analysis (SFA) and two-stage DEA approaches to predict firm technical efficiency and analyse an inefficiency effects model. Aggregate translog stochastic frontier production functions are estimated under the SFA approach using an unbalanced panel data of 178 Thai manufacturing enterprises listed in the Stock Exchange of Thailand (SET), covering the period 2000 to 2008. The maximum-likelihood Tobit model is used to conduct the second-stage of the two-stage DEA model to investigate the relationship between technical inefficiency and environmental variables. Both parametric and non-parametric approaches are found to produce consistent results. The empirical evidence from both approaches …
Measuring Technical Inefficiency Factors For Thai Listed Manufacturing Enterprises: A Stochastic Frontier (Sfa) And Data Envelopment Analysis (Dea), Yot Amornkitvikai, Charles Harvie
Measuring Technical Inefficiency Factors For Thai Listed Manufacturing Enterprises: A Stochastic Frontier (Sfa) And Data Envelopment Analysis (Dea), Yot Amornkitvikai, Charles Harvie
Faculty of Commerce - Papers (Archive)
This study employs stochastic frontier analysis (SFA) and two-stage DEA approaches to predict firm technical efficiency and analyse an inefficiency effects model for overall Thai listed manufacturing sector enterprises including sub-listed manufacturing sector enterprises using an unbalanced panel data for 178 Thai listed manufacturing enterprises over the period 2000 to 2008. Both estimation approaches are found to produce consistent results for overall Thai listed manufacturing sector enterprises. For sub-listed manufacturing sector enterprises both approaches empirically find quite consistent results in coefficient signs, but significance results from both estimation approaches may be different. Focusing on overall Thai listed enterprises both approaches …
Contributions Of Longitudinal Data To Poverty Measurement In Australia, Joan R. Rodgers, John L. Rodgers
Contributions Of Longitudinal Data To Poverty Measurement In Australia, Joan R. Rodgers, John L. Rodgers
Faculty of Commerce - Papers (Archive)
Chronic poverty is of greater social consequence than transitory poverty but its measurement requires longitudinal data. This article uses six waves of data from the Household, Income and Labour Dynamics in Australia Survey to explore the extent to which longitudinal data contribute to what is known about poverty from cross-section data. We find an imperfect correspondence between people's annual poverty status and chronic poverty status. Consequently, policies that aim to reduce chronic poverty using means-tested benefits may be partially misdirected if beneficiaries are identified using annual income. Furthermore, some households experiencing chronic poverty may fall through the safety net.
Response Style Contamination Of Student Evaluation Data, Sara Dolnicar, Bettina Grun
Response Style Contamination Of Student Evaluation Data, Sara Dolnicar, Bettina Grun
Faculty of Commerce - Papers (Archive)
Student evaluation surveys provide instructors with feedback regarding development opportunities and they form the basis of promotion and tenure decisions. Student evaluations have been extensively studied, but one dimension hitherto neglected is the actual measurement aspect: which questions to ask, how to ask them, and what answer options to offer to students to get the most valid results. This study investigates whether cross-cultural response styles affect the validity of student evaluations. If they do, then the student mix in a class can affect an instructor's evaluation, potentially producing biased feedback and prompting inappropriate decisions by university committees. This article discusses …
Interactive Visualization Of Clusters In Microarray Data: An Efficient Tool For Improved Metabolic Analysis Of E. Coli, Theresa Scharl, Gerald Striedner, Florentina Potschacher, Friedrich Leisch, Karl Bayer
Interactive Visualization Of Clusters In Microarray Data: An Efficient Tool For Improved Metabolic Analysis Of E. Coli, Theresa Scharl, Gerald Striedner, Florentina Potschacher, Friedrich Leisch, Karl Bayer
Faculty of Commerce - Papers (Archive)
Background Interpretation of comprehensive DNA microarray data sets is a challenging task for biologists and process engineers where scientific assistance of statistics and bioinformatics is essential. Interdisciplinary cooperation and concerted development of software-tools for simplified and accelerated data analysis and interpretation is the key to overcome the bottleneck in data-analysis workflows. This approach is exemplified by gcExplorer an interactive visualization toolbox based on cluster analysis. Clustering is an important tool in gene expression data analysis to find groups of co-expressed genes which can finally suggest functional pathways and interactions between genes. The visualization of gene clusters gives practitioners an understanding …
The Use Of Computer Supported Analysis For Interview Data: A Cross-Cultural Example From The Electronic Gaming Industry, June Buchanan, Michael L. Jones
The Use Of Computer Supported Analysis For Interview Data: A Cross-Cultural Example From The Electronic Gaming Industry, June Buchanan, Michael L. Jones
Faculty of Commerce - Papers (Archive)
Computer assisted analysis has long been a major factor of quantitative analysis. This paper illustrates the use of computer assisted analysis for qualitative research, looking specifically at research in the Electronic Gaming Industry, across two country sectors – New South Wales, Australia and Nevada, USA, where empirical data are collected and analysed. The paper highlights the important place that computer assisted analysis holds in social and societal marketing. A detailed discussion explains how analysis was undertaken in the Electronic Gaming Industry, and how concepts and theory emerged. This paper discusses the qualitative approach used in this research. In particular, it …
Not Offering Don't Know Options In Brand Image Surveys Contaminates Data, Sara Dolnicar, John R. Rossiter
Not Offering Don't Know Options In Brand Image Surveys Contaminates Data, Sara Dolnicar, John R. Rossiter
Faculty of Commerce - Papers (Archive)
The aims of this study were (1) to understand the extent to which offering or not offering a Don’t know option has the potential of contaminating survey data, and (2) to investigate the interaction between offering a Don’t know option and the verbalisation of scale points. Results from an experimental study with 196 online panel members indicate that empirical data sets can be contaminated if Don’t know options are not offered to respondents who are unable to to assess an object under study. The maximum extent of data contamination could not be determined because only one product category was examined. …
Using Location-Based Tracking Data To Analyze The Movements Of City Tourists, Modsching Marko, Kramer Ronny, Hagen Klaus Ten, Ulrike Gretzel
Using Location-Based Tracking Data To Analyze The Movements Of City Tourists, Modsching Marko, Kramer Ronny, Hagen Klaus Ten, Ulrike Gretzel
Faculty of Commerce - Papers (Archive)
This article presents a methodology to analyze the spatial behavior of tourists based on tracking data. This method was applied during a field study in the city of Görlitz at the east border of Germany. Based on Global Positioning System (GPS) logs the spatial distribution of visitors in various areas is visualized and analyzed. Using the bimodality of the distribution of walking speeds, areas of slowdown are identified and subsequently clustered into activity areas. Using the activity areas, the amount of time tourists allocate to various activity categories is computed. Furthermore, a subsequent analysis of the activity behavior is used …
A Sequential Procedure For Testing Unit Roots In The Presence Of Structural Break In Time Series Data: An Application To Quarterly Data In Nepal, 1970-2003, Min B Shrestha, Khorshed Chowdhury
A Sequential Procedure For Testing Unit Roots In The Presence Of Structural Break In Time Series Data: An Application To Quarterly Data In Nepal, 1970-2003, Min B Shrestha, Khorshed Chowdhury
Faculty of Commerce - Papers (Archive)
Testing for unit roots has special significance in terms of both economic theory and the interpretation of estimation result. As there are several methods available, researchers face method selection problem while conduction the unit root test on time series data i the presence of structural break.
Multiple Structural Breaks In Australia's Macroeconomic Data: An Application Of The Lumbsdaine And Papell Test, Abbas Valadkhani, Allan Layton, Mosayeb Pahlavani
Multiple Structural Breaks In Australia's Macroeconomic Data: An Application Of The Lumbsdaine And Papell Test, Abbas Valadkhani, Allan Layton, Mosayeb Pahlavani
Faculty of Commerce - Papers (Archive)
This paper employs all available annual time series data to endogenously determine the timing of structural breaks for 10 macroeconomic variables in the Australian economy.