An empirical test of the Balassa-Samuelson hypothesis: Evidence from eight middle-income countries in Africa

The paper tests the validity of the Balassa-Samuelson hypothesis (BSH) using the within-effects and the dynamic panel generalised methods of moment (GMM) techniques for a panel of eight middle-income African countries over the period 1960–2009. We selected these countries because they exhibited a mixture of relative productivity growth and real exchange rate misalignment that fits the characterization of the BSH well. The results strongly support the BSH for this group of countries. The results are valid even after we controlled for potentially omitted variables and endogeneity. The implication is that as these countries become more productive, their currencies appreciate in real terms.     

Brand value: how affective labour helps create brands

One way brands create value is by engaging the capacity of cultural labourers to animate affective connections with consumers. Brands assemble social spaces that harness the communicative capacities of cultural actors. A mode of branding that works by managing an open-ended social process depends on affective labour. Affective labour involves not only the capacity of individuals to produce specific meanings and feelings, but also the open-endedly social capacity to stimulate and channel attention and recognition. This affective labour does not always depend on making particular “authentic” representations, but on facilitating a general circulation of meaning. By investing in social spaces and relations corporate brands engage popular musicians in new forms of labour. This article examines the participation of popular musicians in branding programmes run in Australia by corporate brands between 2005 and 2010. I examine the accounts of musicians and managers who participate in these programmes to consider how they make their participation in social relations that create brand value meaningful. They employ a variety of practices: identifying with brands, endorsing brands' claims of socially responsible investment in culture, and distancing themselves from their own participation in branded space.     

Substantive or Symbolic Environmental Strategies? Effects of External and Internal Normative Stakeholder Pressures

Different forms of stakeholder pressures drive different environmental strategies in organizations. This article differentiates between internal and external normative stakeholder pressures to test their potentially unique effects on environmental strategies. The findings suggest that internal, normative stakeholder pressures primarily drive substantive commitments to environmental practices, reflecting an internalized, voluntary commitment to the natural environment and dedication to environmental leadership by the firm. External, normative pressures instead primarily drive symbolic commitments to environmental practices, aimed at managing the image of the organization to establish and reinforce an appearance of commitment to the natural environment. This novel perspective accounts for the institutionally plural contexts of organizations and their environments, in which internal pressures directly drive substantive environmental commitments and external pressures drive symbolic responses. Copyright © 2017 John Wiley & Sons, Ltd and ERP Environment     

VOTING AND SOCIAL PRESSURE UNDER IMPERFECT INFORMATION

We develop a model in which costly voting in a large, two‐party election is a sequentially rational choice of strategic, self‐interested players who can reward fellow voters by forming stronger ties in a network formation coordination game. The predictions match a variety of stylized facts, including explaining why an individual's voting behavior may depend on what she knows about her friends' actions. Players have imperfect information about others' voting behavior, and we find that some degree of privacy may be necessary for voting in equilibrium, enabling hypocritical but useful social pressure. Our framework applies to any costly prosocial behavior.     

When does economic model type become a decisive factor in health technology appraisals? Learning from the expanding treatment options for relapsing–remitting multiple sclerosis

Objectives: Specific economic model types often become de facto standard for health technology appraisal over time. Markov and discrete event simulation (DES) models were compared to investigate the impact of innovative modeling on the cost-effectiveness of disease-modifying therapies (DMTs) in relapsing–remitting multiple sclerosis (RRMS). Fingolimod was compared to dimethyl fumarate (DMF; in highly active [HA] RRMS), alemtuzumab (in HA RRMS) and natalizumab (in rapidly evolving severe RRMS). Comparator DMTs were chosen to reflect different dosing regimens.

Materials and methods: Markov and DES models used have been published previously. Inputs were aligned in all relevant respects, with differences in the modeling of event-triggered attributes, such as relapse-related retreatment, which is inherently difficult with a memoryless Markov approach. Outcomes were compared, with and without different attributes.

Results: All results used list prices. For fingolimod and DMF, incremental cost-effectiveness ratios (ICERs) were comparable (Markov: £4206/quality-adjusted life year [QALY] gained versus DES: £3910/QALY gained). Deviations were observed when long-term adverse events (AEs) were incorporated in the DES (Markov: £25,412 saved/QALY lost, versus DES: £34,209 saved/QALY lost, fingolimod versus natalizumab; higher ICERs indicate greater cost-effectiveness). For fingolimod versus alemtuzumab, when relapse-triggered retreatment was included in the DES, large cost differences were observed (difference between incremental cost is £35,410 and QALY is 0.10).

Limitations: UK payer perspective, therefore societal approach was not considered. Resource utilization and utilities for both models were not derived from the subpopulations; as the focus is on model type, input limitations that apply to both models are less relevant.

Conclusions: Whilst no model can fully represent a disease, a DES allows an opportunity to include features excluded in a Markov structure. A DES may be more suitable for modeling in RRMS for health technology assessment purposes given the complexity of some DMTs. This analysis highlights the capabilities of different model structures to model event-triggered attributes.     

Competition and efficiency in the MENA banking region: a non-structural DEA approach

The goal of this article is to empirically assess the relationship between competition and efficiency in the banking sector of Middle East and North African (MENA) countries spanning the period 1997–2011. To measure the level of competition, the article estimates the non-structural indicator known as the H-statistic, while the level of bank efficiency is estimated through the nonparametric methodology of the Data Envelopment Analysis (DEA) and the Bootstrap Data Envelopment Analysis (BDEA), respectively. The empirical results are robust under six econometric methodologies, providing sufficient evidence for the presence of a one-way (negative) Granger causality, running from efficiency to competition. The empirical findings lead to the rejection of the ‘Efficient Structure Hypothesis’, implying that increases in competition do not precede increases in cost efficiency.