E-tailer personality and behavioral intentions: the application of self-congruity theory

The present study is an effort to develop an e-tailer personality scale. Subsequently, we check the impacts of e-tailer personality on self-congruity and behavioral intentions such as intention to re-shop and intention to recommend. We have followed a traditional scale development method – item generation, purification, and dimension assessment. A structure questionnaire has been used to collect primary data online. A structure equation model was used to analyze the data. This study has developed a e-tailer personality scale of five dimensions: sophistication, competence, excitement, sincerity, and convenience. The results of a structural equation model largely support the propositions that e-tailer personality is positively related to self-congruity. The results also show that e-tailer personality, behavioral intentions and self-congruity are positively related. A comparison of the developed scale with the existing brand personality scales, results in a unique dimension of e-tailer personality scale. Arguably, this study may be seen as a first study in an emerging economy and online retailing domain. The results have both academic and managerial implications.     

A Profile of Poverty in Egypt

This paper presents a profile of poverty in Egypt for 1997. It assesses the magnitude of poverty and its distribution across geographic and socioeconomic groups, provides information on the characteristics of the poor, illustrates the heterogeneity amongst the poor, and helps identify empirical correlates of poverty. This poverty profile is constructed using data from the Egypt Integrated Household Survey (EIHS), which is a nationwide, multiple‐topic household survey. One of the more striking set of findings relates to the differences between the poor and the non‐poor in their educational attainments. Our results indicate a significant literacy and schooling gap between the poor and the non‐poor. On average the poor have 2.6 fewer years of schooling than the non‐poor, and their literacy rate is 27 percent lower than the non‐poor. Our results also indicate that augmenting educational attainment of the poor does not require building more schools, but reducing the poor’s opportunity cost of attending schools and increasing their returns from extra schooling, both suggesting the importance of income generating activities as a policy instrument.     

PRINCIPLES OF- ENGINEERING ECONOMIC ANALYSIS by John A. White,Marvin H. Agee and Kenneth E. Case,John Wiley & Sons,Inc., New York, 1984, 2nd Ed., xii + 546 pp., List $32.95.

In his three recent papers [3], [4], and [5], R.G. Beaves develops an Overall Rate of Return (ORR) project evaluation criterion based on the concept of the so-called transition point (TP) which he has defined in two different versions.¹ In the present contribution, it is shown that some projects may produce undefined ORRs for either TP version, and that other ORR-like criteria [7] may also generate undefined results for projects for which the Net Present Value (NPV) criterion is defined. To eliminate the cases of the ORR undefinability, a generalization of the ORR criterion is proposed that makes this criterion fully NPV compatible and applicable to both investment and financing projects. This criterion embraces all the existing ORR approaches that are based on the notions of the initial and terminal wealths, including both of Beaves' approaches.     

The impact of the Interaction between institutional quality and aid volatility on growth: theory and evidence

We analyze both theoretically and empirically, the effect of aid volatility and its interaction effect with institutional quality on per capita economic growth. Our theoretical model, in which an aid-recipient government, operating in an institutional environment of some given quality (making choices over the distribution of aid), predicts that a negative effect of aid volatility on growth is mitigated by stronger institutional quality. We use panel data covering the period 1984–2004 for 78 countries to test this theoretical prediction. Using Generalised Methods of Moments (GMM) we find the relationship between growth and aid volatility is significantly negative and depends on institutional quality. Our baseline results are robust to various computations of aid volatility and foreign aid, time periods, sub-samples and additional covariates.     

Determinants of Trade Costs and Trade Growth Accounting between India and the European Union during 1995–2010

This study aimed to utilise the micro‐founded measure of trade cost derived by Novy to estimate the relative bilateral trade costs of India with its European Union partners. The advantage of using such a model is that the trade costs can be derived entirely using observable trade data. The results show that Indian tariff equivalent with its major EU trading partners has declined by 20 percentage points between 1995 and 2010, with Malta and Latvia experiencing the greatest decline. The study then decomposes the bilateral trade growth to ascertain whether it is an outcome of increased domestic production or reduction in bilateral and multilateral trade barriers. Novy's model indicates that the decline in relative bilateral trade costs explains the greatest percentage of this trade growth, which is partially offset by decline in multilateral resistance terms that has diverted trade away to other trading partners primarily in South and South‐East Asia and North America.     

The New Keynesian business cycle achievements and challenges

The New-Keynesian (NK) business cycle model has presented itself as a potential “workhorse” model for business cycle analysis. This paper seeks to assess afresh the performance of the baseline NK model and its various extensions. The main theme of the paper is that although the dynamic NK literature has secured a robust defence to criticism arising, inter alia, on account of lack of microfoundations, it still has a long way to go in terms of providing a fully satisfactory model of the business cycle. In this regard, it is conjectured that explicitly accounting for the role of heterogeneity in business-cycle dynamics could lead towards a viable solution.

Inflation uncertainty, growth uncertainty, oil prices, and output growth in the UK

This study examines the transmission and response of inflation uncertainty and output uncertainty on inflation and output growth in the UK using a bi-variate EGARCH model. Results suggest that inflation uncertainty has positive and significant effects on inflation before the inflation-targeting period, but that the effect is significantly negative after the inflation-targeting period. On the other hand, output uncertainty has a negative and significant effect on inflation and a positive effect on growth, while oil price rises significantly increase inflation for the UK. Results also indicate that inflation uncertainty significantly reduces output growth before and after the inflation-targeting period. These findings are robust and the Generalized impulse response functions corroborate the conclusions. These results have important implications for an inflation-targeting monetary policy, and for stabilization policy in general.     

QUANTIFYING ABSOLUTE POVERTY IN THE DEVELOPING WORLD

We estimate that in 1985 about one in five persons in the developing world lived in poverty, judged by the standards of the poorest countries. This rises to one in three at a common, more generous, poverty line. The aggregate consumption short-fall of the poorest fifth is about one half of one percent of world consumption, while that of the poorest third is a further one percent. The shape of the distribution of consumption suggests that aggregate poverty would fall fairly rapidly if moderate growth in average consumption levels can be sustained, and the poor share at least proportionally in that growth. However, it would take only small adverse shifts in the world distribution of consumption to eliminate the gains to the poor from growth.     

Analysis of non-stationary dynamics in the financial system

Novel data-driven analyses, appropriate for detecting economic instability in non-stationary time series, are developed using functional principal component analysis (fPCA) and Synchrosqueezing. fPCA is applied in a new way, aggregating multiple financial time series to identify periods of macroeconomic instability. Synchrosqueezing, a technique which generates a time-series’ time-dependent spectral decomposition, is modified to develop a new quantitative measure of local dynamical changes and structural breaks. The merit of this integrated technique is demonstrated by analyzing financial data from 1986 to 2012 that includes equity indices, securities and commodities, and foreign exchange. Both procedures successfully detect key historic periods of instability. Moreover, the results reveal distinctions between periods of long-term gradual change in addition to structural breaks. These tools offer new insights into the analysis of financial instability.     

Macroeconomic Crises and Poverty Monitoring: A Case Study for India

Survey-based welfare indicators can fluctuate over time in ways which have little to do with macroeconomic changes in the economy. So basing policy decisions on short-term movements in such welfare indicators can be hazardous. There was a sharp increase in India's poverty measures in the aftermath of the mid-1991 crisis and the ensuing stabilization program. However, only one-tenth of the increase in measured poverty is explicable in terms of the variables one would expect to transmit the shock to poor people. Poverty measures soon returned to their pre-reform levels, belying the notion of a structural break induced by reforms.