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.     

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.     

A Study on Happiness and Related Factors Among Indian College Students

Happiness is considered to be one of the ultimate goals of life. This paper studies the happiness of Indian college and university students aged between 18 and 24 years. It attempts to answer whether and to what extent happiness of a student is significantly related to aspects of social life such as time spent with family, friends, being in a relationship, logging into social networking sites; academic factors such as job prospects of the chosen field of study and academic environment; and other personal factors such as health condition, over thinking or dwelling on past bad memories, addiction to tobacco/drug/alcohol. Moreover, this paper also inquires about the relationship between a student’s average happiness with her gender as well as the income class to which she belongs. It has been observed that among different aspects of social life, time spent with family and friends are significant while logging into social networking site is found out to be insignificant. Also being in a relationship is significantly but negatively related to happiness for male students. Job Prospects of the current field of study is a highly significant covariate of happiness irrespective of the gender of the student. Among different aspects of the personal situation, dwelling on past bad memories decreases happiness of both male and female students. Addiction to tobacco/alcohol is a negative covariate of female happiness. Furthermore, income and gender are seen to play an insignificant role in the happiness of Indian college and university students.

     

Global idiosyncratic risk moments

We investigate a global cross-sectional relation between idiosyncratic risk moments and expected stock returns by suggesting three global idiosyncratic volatility, skewness, and kurtosis risk factors. We also suggest two global small minus big and high minus low risk proxies for estimating return residuals of the test assets from a global asset pricing model. To perform robustness checks, we suggest other four global risk factors of momentum, leverage, bid-ask spread, and liquidity. We find a significant negative relation between stock portfolio returns and the global moments, and the cross section of stock returns reflects a significant negative price of risk for global idiosyncratic skewness (?0.13%) and idiosyncratic volatility (?1.85%) and a positive and significant price of risk for global idiosyncratic kurtosis. We find that our suggested risk factors are key drivers of risk premia in stock market and are robust to various checks. These factors also can forecast the gross domestic product growth over the sample period.     

‘Retweet for a Chance to…’: an analysis of what triggers consumers to engage in seeded eWOM on Twitter

Twitter provides an important channel for brands to seed electronic word of mouth (eWOM) by followers retweeting brand messages, but prior research has not established a theoretical framework for how brands can maximise eWOM. This study presents and tests a theoretical model incorporating interactive, textual and visual tweet features to predict eWOM, using tweets by leading brands from three industries. Industry was found to be an important moderator of the effect of tweet features; after controlling for the reach and frequency of tweets, hashtags, retweet requests and photos were consistently associated with a higher retweet rate across industries, but the effect of URL links, non-initial mentions and video varied across industries, in some cases decreasing the retweet rate. Implications for research and practice are discussed.     

Latent liquidity: A new measure of liquidity,with an application to corporate bonds

We present a new measure of liquidity known as “latent liquidity” and apply it to a unique corporate bond database. Latent liquidity is defined as the weighted average turnover of investors who hold a bond, in which the weights are the fractional investor holdings. It can be used to measure liquidity in markets with sparse transactions data. For bonds that trade frequently, our measure has predictive power for both transaction costs and the price impact of trading, over and above trading activity and bond-specific characteristics thought to be related to liquidity. Additionally, this measure exhibits relationships with bond characteristics similar to those of other trade-based measures.     

Medication adherence and discontinuation of long-acting injectable versus oral antipsychotics in patients with schizophrenia or bipolar disorder

Aims: To examine medication adherence and discontinuation in two separate groups of patients with schizophrenia or bipolar disorder (BD), who began receiving a long-acting injectable antipsychotic (LAI) versus those who changed to a different oral antipsychotic monotherapy.

Materials and methods: The Truven Health Analytics MarketScan Multi-State Medicaid claims database was used to identify patients with schizophrenia; Truven Health Analytics MarketScan Commercial and Medicaid claims databases were used to identify patients with BD. The analyses included adult patients (≥18 years) who either began receiving an LAI (no prior LAI therapy) or changed to a different oral antipsychotic (monotherapy). The first day of initiating an LAI or changing to a new oral antipsychotic was the index date. Linear and Cox regression models were conducted to estimate medication adherence (proportion of days covered [PDC]) and time to medication discontinuation (continuous medication gap ≥60 days), respectively. Models adjusted for patient demographic and clinical characteristics, baseline medication use, and baseline ED or hospitalizations.

Results: Patients with schizophrenia (N?=?5638) who began receiving LAIs had better medication adherence (5% higher adjusted mean adherence) during the 1 year post-index period and were 20% less likely to discontinue their medication during the entire follow-up period than patients who changed to a different oral antipsychotic monotherapy, adjusting for differences between LAI users and oral users. Similarly, patients with BD (N?=?11,344) who began receiving LAIs also had 5% better medication adherence and were 19% less likely to discontinue their medication than those using oral antipsychotics.

Limitations: Clinical differences unmeasurable in this database may have been responsible for the choice of LAI versus oral antipsychotics, and these differences may be responsible for some of the adherence advantages observed.

Conclusions: This real-world study suggests that patients with schizophrenia or BD who began receiving LAIs had better medication adherence and lower discontinuation risk than those who changed to a different oral antipsychotic monotherapy.