Preliminary test estimators of the parameters of simple linear model with measurement error

In this paper, we discuss the properties of preliminary test estimators (PTE) of the parameters of simple linear model with measurement error (ME model) when the slope of the linear model is suspected to be zero. Expressions of the bias, MSE and efficiencies are obtained under conditional as well as unconditional situations with known reliability coefficient. Conditional model results are compared to the standard model without measurement error. We also provide the unconditional model analysis in finite samples. Asymptotic theory under local alternatives is developed when the variance of measurement error or the ratio of the variance of the model error relative to the variance of the measurement error is known. Asymptotic expressions of bias and MSE of the estimators along with their efficiencies are obtained. In every case, it is shown that the measurement error tend to increase the variability of the estimators compared to the estimators without measurement error. Graphs and tables are provided to see these results and to determine optimum level of significance for minimum guaranteed efficiency. Received October 2001 RID="*" ID="*"  A. K. Md. E. Saleh is a Distinguished Research Professor and H. M. Kim is a Ph.D. candidate in the School of Mathematics and Statistics, Carleton University, Ottawa. Acknowledgment. The authors gratefully acknowledge the constructive suggestion of the referees to improve the paper. The research is supported by NSERC grant A3088.     

Theoretical aspects of trade,risk and growth

An intertemporal model of an open economy incorporating risk in the export price is developed. It is shown how the optimal trajectories for consumption, investment, growth, exports, and resource allocation can be determined using dynamic stochastic programming. The risk sensitivity and time effects of the various trajectories are analyzed for the case of a logarithmic social utility function. Interestingly, the results obtained are not all in conformance with the conventional results of portfolio theory analysis as applied to savings.     

A ‘new’ economic history of the Middle East and North Africa (MENA) region

This article argues that there is a need to develop a ‘new’ economic and social history of the Middle East and North Africa (MENA) region that is based on exploiting novel sources of data, including (a) primary papyrological sources from the medieval period, (b) primary sources at the region's local archives and European (colonial) archives, and (c) primary sources from the ancient (pre-Islamic) period. The proposed ‘new’ history of the MENA region must be inter-disciplinary for two reasons: (a) digitizing and employing these novel data sources in research requires the collaboration of social scientists, historians, archaeologists, anthropologists, demographers and papyrologists, as well as the co-operation of MENA-based scholars who have better access to MENA's local archives, and (b) even if these novel sources are digitized, data limitations are likely to impose a constraint on the reach of quantitative analysis and thus necessitate an inter-disciplinary methodology that combines quantitative evidence with historical analysis.     

Empirical Assessment of Money Demand Stability Under India’s Open Economy: Non-linear ARDL Approach

Journal of Quantitative Economics - This study explores stability issues of money demand in the wake of a new economic policy regime of India’s open economy, particularly since the 1990s. The...     

Want to make me emotional? The influence of emotional advertisements on women’s consumption behavior

A wide difference of opinion exists about the content and composition of emotions. Advertising may influence an audience and their buying decisions about products and services. The objective of this study is to better conceptualize how women emotionally respond to emotional advertisements (EAs). The variant views are integrated into an ACE model, composed of subordinate levels of emotions (E), celebrity endorsements (C), and appeal drivers (A). This empirical study examines women’s emotional response using data from 240 Chinese women respondents. The study participants were invited to develop ACE mix based advertisements and fill out questionnaires. PLS-SEM analysis, a novel approach in ACE advertisement development and its applicability to consumer behavior, was used. The results show that showbiz celebrities expressing the emotion of happiness with music and color make the most effective ACE mix to influence the consumption behavior of women. The results are significantly mediated by attention levels and are widely applicable in the burgeoning advertising industry. The study also calls for further research with different ACE mixes in different contexts and on different audiences. It also opens doors for policy making and an appropriate understanding of women’s consumption behavior in the Chinese context.     

Leaving studies because of lack of interest: an analysis of the risk factors of school dropouts in Pakistan

Quality & Quantity - Among all the students dropping out of school for different reasons in Pakistan in 2017, nearly 23% of the students dropped out because they were not...     

Consumer‐Generated Representations: Muslim Women Recreating Western Luxury Fashion Brand Meaning through Consumption

The aim of this paper is to explore the influence of consumer‐generated representations on symbolic brand meaning. The term consumer‐generated representation is used in this research to refer to the image created for a brand based on the defining characteristics of a consumer or group of consumers. A preliminary qualitative study consisting of 12 in‐depth interviews was conducted in Kuwait, specifically exploring Muslim female consumers as consumers of western luxury fashion brands. The findings show that Muslim female consumers generate “Modestly Sexy” representations that recreate meaning for western luxury fashion brands in Kuwait. Thus, marketers need to recognize the importance of managing consumer‐generated representations on a global scale.     

An empirical assessment of the effects of trade in innovative tasks on innovation output

Multinational firms are increasingly sending their innovative tasks abroad. This article examines whether offshoring research and development, design, and engineering activities provides any gains in terms of firm‐level innovation output. The effects of trade in innovative tasks on the probability of firms being innovative and the share of innovative product sales in total turnover are examined using an instrumental variable approach. The data in use come from a recent survey, which provides cross‐section observations for more than 14,750 firms in seven European countries. The results suggest that those firms that offshore their innovative activities are 60% more likely to successfully innovate. Also, offshoring innovative activities increases the share of innovative product sales in total turnover up to 35%. Furthermore, firms in this sample appear to gain from trade in innovative tasks when such trade is in product innovation but not when such trade is in process innovation.