Effect Sizes in Qualitative Research: A Prolegomenon

The American Psychological Association Task Force recommended that researchers always report and interpret effect sizes for quantitative data. However, no such recommendation was made for qualitative data. Thus, the first objective of the present paper is to provide a rationale for reporting and interpreting effect sizes in qualitative research. Arguments are presented that effect sizes enhance the process of verstehen/hermeneutics advocated by interpretive researchers. The second objective of this paper is to provide a typology of effect sizes in qualitative research. Examples are given illustrating various applications of effect sizes. For instance, when conducting typological analyses, qualitative analysts only identify emergent themes; yet, these themes can be quantitized to ascertain the hierarchical structure of emergent themes. The final objective is to illustrate how inferential statistics can be utilized in qualitative data analyses. This can be accomplished by treating words arising from individuals, or observations emerging from a particular setting, as sample units of data that represent the total number of words/observations existing from that sample member/context. Heuristic examples are provided to demonstrate how inferential statistics can be used to provide more complex levels of verstehen than is presently undertaken in qualitative research.     

Spatial agglomeration and endogenous growth

This paper constructs a dynamic general equilibrium model with spatial interactions in which a human capital externality is the centripetal force towards agglomeration. The resource cost of transportation is, on the other hand, the main centrifugal force, preventing a city from growing unboundedly. A central feature of our analysis is the dynamic interaction between (perpetual) economic growth and (bounded) city growth. We examine the socially optimal and the decentralized growth rates as well as city sizes. In the decentralized environment, individuals under-invest, whereas cities are under-populated. We show how public policies may enable a decentralized city to attain the socially optimal allocation.     

Promoting cost efficiency and uniformity in parcel delivery centre locations and service areas: a GIS-based analysis

This paper provides a systematic framework to determine local delivery centre (LDC) locations and service areas to reduce delivery costs and balance the allocation of parcel delivery loads to promote sustainable LDC development. Based on a case study of a parcel distribution company in Korea, this study proposes two strategies for LDC service area delineation within each terminal service boundary that either minimises the total delivery time or balances the allocation of delivery loads. This research contributes to improving cost efficiency and balancing delivery load allocations in planning LDC locations and service areas that can potentially promote the long-term mutual sustainable development of parcel distribution companies and their local delivery counterparts.     

Unplanned rural living and its policy implications: Some findings from Bundaberg,Australia

Research conducted in the Bundaberg Region in north-eastern Australia sought to explain the pattern of unplanned rural living and to assess whether its impacts are adverse enough to warrant land use policy change. It found there was limited conversion of suitable sugarcane land to ‘unplanned’ rural living during the 1980–2000 period. Parcels converted to unplanned rural living during this period were, on average, much smaller, had lower agricultural production potential, and were situated in more undulating and forested landscapes further from Bundaberg than parcels that remained in sugarcane production.     

Public re-release of going-concern opinions and market reaction

This paper examines the market reaction to the public announcement of going-concern (GC) opinions through the news media. In the early 2000s, NASDAQ and AMEX required firms listed on their exchanges to publicly announce previously disclosed information, such as the issuance of a GC opinion, through a press release or the news media. We examine the stock market reaction to the re-release of GC opinions. We find significant abnormal stock return volatility and trading volume at the re-release of this information. Further, based on an analysis of intraday transactions, we find higher abnormal trading activity in small trades around the re-release of the GC opinion, but largely no changes in large trades during the same period. In this respect, the investors that initiate the small trades act as if they are surprised by the information contained in the press release of GC opinions. Such an action, in turn, can be viewed as evidence of a delayed response to the information in GC opinions by a section of investors.     

铁路行包运量预测模型研究

铁路行包运量预测是以运输需求和内部供给为导向,综合考虑各种影响因素,对行包运量现状和发展的正确把握.探讨利用人工神经网络结合主成分分析的方法,建立铁路行包运量预测模型,解释并预测行包专列开行后铁路行包运量的增长趋势.实例分析的仿真结果表明,采用主成分分析法的广义回归神经网络模型结构简洁、预测精度高、收敛速度快,对相关铁路部门和企业的决策具有参考意义.     

The importance of understanding the shape of diverse ethnic female consumers for developing jeans sizing systems

This study has been conducted to investigate the fit issues related to the current apparel pants and jeans sizing system for diverse consumers, identifying body shape differences among ethnic groups. A total of 1335 women in a certain size range (Misses figure type sizes 2–20) were selected in the study. A Misses figure type size category is commonly used for adult women of average proportion and height. First, the body dimension differences among ethnic groups were examined with a single factor analysis of variance. Second, the fit of pants and jeans for the diverse consumers within the same size category was examined with the current standard sizing system, ASTM D5585 for adult female Misses figure type sizes 2–20. Three cases were programmed within a database: When each consumer selects a size for a pair of jeans based on (1) waist size; (2) hip size; and (3) waist height (usually pants length). And last, the results were analysed with fit comparison plots. Current jean consumers are racially diversified in the US and globally as well. This study revealed that ethnic groups had different fit problems and significant body shape differences. Even within the same figure type size category, a variety of body dimensions existed in each ethnic group. According to the fit problem assessment in this study, consumers within the same body figure type size category could not find the right fit of the pants and jeans within the current sizing system. Half of the female consumers could not find a garment to fit based on waist height (pants length) because the current sizing systems overlooked the effect of diverse consumers. This study will be useful for standardizing organizations to modify current sizing systems for diverse ethnic consumer groups as a demographic factor so that apparel companies could provide better quality of fit for their consumers in the global and local market.     

A new approach for detecting shifts in forecast accuracy

Forecasts play a critical role at inflation-targeting central banks, such as the Bank of England. Breaks in the forecast performance of a model can potentially incur important policy costs. However, commonly-used statistical procedures implicitly place a lot of weight on type I errors (or false positives), which results in a relatively low power of the tests to identify forecast breakdowns in small samples. We develop a procedure which aims to capture the policy cost of missing a break. We use data-based rules to find the test size that optimally trades off the costs associated with false positives with those that can result from a break going undetected for too long. In so doing, we also explicitly study forecast errors as a multivariate system. The covariance between forecast errors for different series, although often overlooked in the forecasting literature, not only enables us to consider testing in a multivariate setting, but also increases the test power. As a result, we can tailor our choice of the critical values for each series not only to the in-sample properties of each series, but also to the way in which the series of forecast errors covary.     

Will Corporate Income Taxation Survive?

Summary This paper explores the future of corporate income taxation, with special reference to the Netherlands. We review the empirical literature on a variety of distortions and arbitrage opportunities and pay due attention to effect sizes. An attempt is made to compare the size of various distortions in terms of the ex-post revenue impact of a corporate tax reduction. Thus, we learn which distortions impose the most serious threat to government revenue. This integrative approach allows us to understand recent developments in corporate tax regimes in the EU. Erasmus University Rotterdam, CPB, CESifo and Tinbergen Institute. Corresponding address: P.O. Box 1738, 3000 DR Rotterdam, e-mail: demooij@few.eur.nl. I thank Leon Bettendorf, Joeri I thank Leon Bettendorf, Joeri Gorter and Gerbert Romijn for their support and discussion in constructing Table 3 and Sijbren Cnossen and two anonymous referees for useful comments.