Economic uncertainty and growth performance: a macroeconomic modeling analysis for Pakistan

This paper investigates the effects of economic uncertainty on growth performance of Pakistan through developing a small macroeconomic model. The GARCH method has been used for construction of economic uncertainty variables related to macroeconomic policies. The structural outcomes clearly indicate that economic policy uncertainty affects negatively on real and nominal sectors of Pakistan. The forecasting of model and different policy uncertainty simulation shocks also indicated that an adjustment in economic policies due to change of policy objectives create uncertain environment in country, which not only deteriorates the investment climate of country, it also affects the economic growth. Our study concludes that economic uncertainty not only reduces the current investment and economic growth, it also affects the future decision of investment and economic growth. This study suggests that sustainable and steady economic policies always reduce economic uncertainty and promote the confidence of economic agents, which help in achieving the targets of investment, trade and economic growth. Our study also maintains the predictability and reliability of government policies for the accomplishment of macroeconomic goals and economic development of country.     

Foreign and Domestic Shocks: Macroeconomic Responses of ASEAN-3 Countries

Abstract

The study provides new empirical evidence on the relative importance of foreign and domestic shocks on selected ASEAN-3 (Malaysia, Indonesia, and Thailand) macroeconomic variables. Three structural vector auto regression models are estimated for each country. The focal point is given on the formulation of the sources of foreign factors. The first model uses trade-weighted foreign variables of both US and Japan to represent the foreign factors. The other two models use US and Japan by themselves, respectively, to represent the foreign factors. Two important results are emerged. First, foreign sectors play an important role in influencing macroeconomic variables of each of the ASEAN-3 country, especially in the medium and the long-run horizon. Second, most of the time, the Japanese factors are more dominant than the US factors in influencing domestic output and inflation for each of the ASEAN-3 countries.     

Estimation and evaluation of core inflation measures

This article estimates and evaluates different measures of core inflation for India by employing statistical and econometric approaches. We estimate Wholesale Price Index (WPI) ex-food, WPI ex-food and energy, 20% asymmetric trimmed mean, 63rd percentile and Structural Vector Autoregression (SVAR) measures of core inflation. The trimmed mean, 63rd percentile and SVAR measures are unbiased, less volatile and highly correlated to headline inflation. The predictive accuracy of the different core inflation measures used in this article is assessed. The overall result suggests that a 20% asymmetric trimmed mean and SVAR measures of core inflation can be useful for the policy purposes.     

Financial reforms,product differentiation,and trade

We hypothesize that exports of differentiated products, which entail greater upfront costs, increase more as financial reforms take place. We find strong and robust empirical support of this hypothesis with a comprehensive set of measures of reforms encompassing the banking sector, interest rates, equity and international capital markets.     

Food Labels’ Impact Assessment on Consumer Purchasing Behavior in Malaysia

The purpose of this study is to validate the impact of food labels among Malaysian consumers using an extended theory of planned behavior model (TPB). In doing so, the study assessed the direct and indirect effect of food labeling on consumer intention to purchase or otherwise the food products of interest. A stratified random sampling technique was adopted in selecting 2,014 consumers in Klang Valley, Malaysia. The results of structural equation modeling supported the adequacy of the proposed model. This study contributes to and extends the understanding of food labeling and purchasing behavior, identifying the rationales for purchasing of food products with labels that contains information such as halal logo, ingredients, and nutritive value.     

Consumer decision making process in shopping for halal food in Malaysia

This paper reports on the results obtained from quantitative and qualitative data on consumer decision making process in shopping for halal food. A total of 213 questionnaires were returned by respondents, confirming that our respondents who are concerning about the ＂halal＂ logo are also concerning about the ingredients used. The study also confirms that there is a significant relationship between respondents＇religion and their perceptions towards halal logo and ingredients. While the qualitative data from a focus group interview on how Muslim consumers shop for halal food shows that there is a need for assurance that food to be purchased is halal, implying the presence of risk and uncertainty when making purchase considerations. Using the audit risk framework in conventional assurance services, the study finds that assurance is sought in relation to the halalness of business premise, halalness of product, and assurance from environmental elements such as the halal logo displayed.     

Designing a reverse logistics network for optimal collection, recovery and quality-based product-mix planning

This study proposes an integrated, reverse logistics supply chain planning process with modular product design that produces and markets products at different quality levels. A mixed integer programming (MIP) model formulates the overall planning process required to maximize profit by considering the collection of returned products, the recovery of modules and the proportion of the product mix at different quality levels. This paper proposes the collection of returnables (end-of life, defective, product under warranty) through retail outlets combined with the recovery of modules from the collected products using a network of recovery service providers. The proposed modular product design approach would create a design criterion that provides an improved recovery process at a lower cost. This study uses a total supply chain view that considers the production, transportation and distribution of products to customers, while a numerical problem illustrates the applicability of the models.     

Cost-effectiveness of sacubitril/valsartan versus enalapril in patients with heart failure and reduced ejection fraction

Background: Sacubitril/valsartan reduces cardiovascular death and hospitalizations for heart failure (HF). However, decision-makers need to determine whether its benefits are worth the additional costs, given the low-cost generic status of traditional standard of care.

Aims: To evaluate the cost-effectiveness of sacubitril/valsartan compared to enalapril in patients with HF and reduced ejection fraction, from the Singapore healthcare payer perspective.

Methods: A Markov model was developed to project clinical and economic outcomes of sacubitril/valsartan vs enalapril for 66-year-old patients with HF over 10 years. Key health states included New York Heart Association classes I–IV and deaths; patients in each state incurred a monthly risk of hospitalization for HF and cardiovascular death. Sacubitril/valsartan benefits were modeled by applying the hazard ratios (HRs) in PARADIGM-HF trial to baseline probabilities. Primary model outcomes were total and incremental costs and quality-adjusted life years (QALYs) and the incremental cost-effectiveness ratio (ICER) for sacubitril/valsartan relative to enalapril

Results: Compared to enalapril, sacubitril/valsartan was associated with an ICER of SGD 74,592 (USD 55,198) per QALY gained. A major driver of cost-effectiveness was the cardiovascular mortality benefit of sacubitril/valsartan. The uncertainty of this treatment benefit in the Asian sub-group was tested in sensitivity analyses using a HR of 1 as an upper limit, where the ICERs ranged from SGD 41,019 (USD 30,354) to SGD 1,447,103 (USD 1,070,856) per QALY gained. Probabilistic sensitivity analyses showed the probability of sacubitril/valsartan being cost-effective was below 1%, 12%, and 71% at SGD 20,000, SGD 50,000, and SGD 100,000 per QALY gained, respectively.

Conclusions: At the current daily price sacubitril/valsartan may not represent good value for limited healthcare dollars compared to enalapril in reducing cardiovascular morbidity and mortality in HF in the Singapore healthcare setting. This study highlights the cost-benefit trade-off that healthcare professionals and patients face when considering therapy.     

Analysis of School Enrollment in Ghana: A Sequential Approach

In this paper, we depart from the standard way of analyzing school enrollment by accounting explicitly for educational selectivity in order to examine the determinants of child school enrollment in Ghana. Using data from the Ghana Living Standard Survey round 6 (GLSS 6), we estimate a three‐step sequential logit model for the determinants of secondary school enrollment and its dependence on completing primary school. We find that family resources such as parental education, household income and the gender of the head of the household play a role in households' child schooling decisions. Educated parents are relatively more likely to enroll their children in primary school and keep them in school until they complete primary education. As well, we show that educated parents do not promote a gender‐biased investment in the schooling of children at the primary level. While household welfare does not influence children's entry into primary school importantly, their completion of primary school depends on household welfare. The study sheds more light on the pro‐male bias phenomenon regarding entry into primary school and primary school completion. Policies to promote the achievement of Sustainable Development Goal 4 in Ghana must be grade sensitive.