The impact of real exchange rate shocks on manufacturing workers: An autopsy from the MORG

We study the impact of large real exchange rate shocks on workers in sectors initially more exposed to international trade using the Current Population Survey’s (CPS) Merged Outgoing Rotation Group (MORG) from 1979 to 2010 combined with new annual measures of imported inputs, a proxy for offshoring. We find that in periods when US relative prices are high, and imports surge relative to exports, workers in sectors with greater initial exposure to international trade were more likely to be unemployed or exit the labor force a year later, but did not experience significant declines in wages conditional on being employed. Contrary to the usual narrative, we find negative wage effects for higher-wage, but not lower-wage workers, particularly for those who are less-educated.     

Return of the inoperability

There has been unrest in the research community investigating the inoperability of an economic system under disaster situations. The inoperability input–output model (IIM), which is very popular in the risk management field, has become a center of argument, particularly from the input–output researchers, that IIM is a straightforward application of the standard Leontief input–output model. This paper revisits the concept of inoperability, rather than IIM, and proposes its new role in disaster impact analysis using a conventional tool, i.e. the RAS method, for illustrating how the inoperability of an economic system in the aftermath of disaster can be evaluated. The proposed framework is employed to examine the inoperability of industries resulting from the 1995 Kobe earthquake. The findings of the analysis reveal the usefulness of inoperability concept that can even incorporate resilience (gained operability) using the proposed framework of this paper.     

Identifying cycling-inducing neighborhoods: A latent class approach

Understanding how spatial attributes of cities and neighborhoods induce cycling is relevant for urban planning and policy making. In this work, ordered logit and latent class models are specified and estimated to analyze how the built environment affects bicycle-commuting frequency. Data come from a survey to 1,487 people in the city of Santiago, Chile, including sociodemographic information, travel behavior patterns and place of residence and work. Using geographic information systems tools, the built environment was characterized with variables calculated for a 500-m-radius buffer around the residential and work locations of each individual. Two models are estimated, first an ordered logit model confirms that built environment variables effect on cycling is similar to what has been reported in the literature, with some new findings such as an increase in cycling when public transport accessibility is low and the role of built environment attributes at the destination. Second, a latent class ordered logit is used to identify two classes of neighborhood in term of their cycling patterns, as a function of their density, presence of cycling infrastructure and distance to the main activity center of the city. This result allows to map the class membership probabilities, potentially helping to identify neighborhoods that encourage cycling and providing relevant information for policy making and infrastructure decisions.     

中国沿海地区经济结构变动对海洋环境的影响

中国沿海经济结构的研究对海洋环境的发展意义重大,然而二者之间的定量关系及内在机理尚不完全清楚。以2007-2016年为研究时段,我国沿海11省(区、市)为研究区域,借助固定效应以及门槛模型,测度经济结构变动与海洋环境之间的关系。结果表明:①在经济结构中产业结构(-0.099)对海洋的弹性系数最大,其次是经济增速(-0.058),投资对象为正向影响,但不显著;非经济结构中,技术进步(0.052)的弹性系数最大,其中环境规制(-0.045)、人口规模(-0.045)抑制海洋环境的改善。②区域对比北部、东部海洋经济圈产业结构对海洋环境起抑制作用,另外,东部海洋经济圈环境规制、人口规模与海洋环境水平呈明显的负相关性;南部海洋经济圈相对于其他两个区域,结果不显著。③将产业结构、技术进步作为门槛变量,在各自的作用下分别存在双重门槛和单一门槛。产业结构门槛值为0.533、0.462,仅河北,福建未跨越第二门槛;科研能力门槛值为40,仅河北、福建、海南未跨过门槛值。因此,应适度调整产业结构,注重经济增长的质量,合理控制城镇人口的流动,积极鼓励科研创新,实现经济与海洋环境协调发展。     

Budget impact analysis of secukinumab versus adalimumab in the treatment of ankylosing spondylitis

Background: Biologic treatments have enhanced the treatment outcomes of patients with active ankylosing spondylitis (AS). Until recently, TNF-alpha-inhibitors have been the only biologics approved for the treatment of active AS. The objective of this study was to assess the potential financial impact of the first non-TNF-alpha biologic secukinumab (fully human IL-17A-inhibitor) vs adalimumab (TNF-alpha-inhibitor) in the treatment of AS in Finland.

Materials and methods: In this model-based budget impact analysis, patients were treated either with secukinumab (150?mg) or adalimumab (40?mg). The number of patients and market share of different biologics were based on national reimbursement registry data. Adalimumab was the most commonly used biologic treatment for AS, and in the base case analysis all adalimumab patients are assumed to switch to secukinumab. Response rates were based on a matching-adjusted indirect comparison between secukinumab and adalimumab. Patients not achieving response were switched to another biologic treatment.

Results: Treating AS patients with secukinumab instead of adalimumab leads to potential savings of 18.2 million euros within a 5-year time period. The total costs within the follow-up time were 59.5 million euros and 77.7 million euros with and without secukinumab, respectively. According to sensitivity analyses, a higher adoption rate of secukinumab corresponds to higher potential savings.

Conclusions: Secukinumab is a cost-saving treatment option compared with adalimumab in the treatment of AS in Finland. More patients could be treated with a biologic by allocating resources more efficiently.     

Budget impact analysis of niraparib and olaparib for maintenance treatment of platinum-sensitive,recurrent ovarian cancer in the US

Aims: This study aimed to evaluate the budget impact of niraparib and olaparib in patients with platinum-sensitive, recurrent ovarian cancer from a US third party payer perspective.

Materials and methods: A budget impact model was constructed to assess the additional per member per month (PMPM) costs associated with the introduction of niraparib and olaparib, two poly ADP-ribose polymerase ribose polymerase (PARP) inhibitors recently approved to be used in platinum-sensitive, recurrent ovarian cancer patients with and without a gBRCA mutation. The model assessed both pharmacy costs and medical costs. Pharmacy costs included adjusted drug costs, coinsurance, and dispensing fees. Medical costs included costs associated with disease monitoring and management of adverse events from the treatment. Epidemiological data from the literature were used to estimate the target population size. The analysis used 1-year time frame, and patients were assumed on treatment until disease progression or death. All costs were computed in 2017 USD. One-way sensitivity analyses were conducted to evaluate the model robustness.

Results: In a hypothetical plan of 1,000,000 members, 206 patients were estimated to be potential candidates for niraparib or olaparib maintenance treatment after applying all epidemiological parameters. At listed 30-day supply WAC prices of $14,750 for niraparib and $13,482 for olaparib, budget impacts of these two drugs were $0.169 PMPM and $0.156 PMPM, respectively, most of which were contributed by pharmacy costs. Sensitivity analyses suggested that assumptions around market share, platinum-sensitive rate after first treatment, and WAC prices affected results the most.

Limitations: In this model, it was assumed that adopting niraparib and olaparib would not affect utilization of existing medications. Also, the estimated clinical parameters from clinical trials could differ from real-world data.     

Economic policy uncertainty and analysts’ forecast characteristics

We examine the influence of economic policy uncertainty (EPU) on the characteristics of analysts’ earnings forecasts over a thirty-year period, spanning a wide variety of political and economic conditions. Motivated by both theory and empirical evidence that suggest a decline in the quality of the information environment for firms as EPU increases, we establish that analysts’ forecast errors increase with EPU, as does the degree of forecast dispersion. Increased error and dispersion persist after controlling for several competing sources of economy-wide uncertainty. Cross sectional analysis exploring heterogeneity in forecast quality across both analyst and firm characteristics establishes that forecast error and dispersion increase with EPU across a broad spectrum of firms and levels of analyst expertise. We control for analysts’ experience overall and the years spent covering a particular industry and firm. Five alternative methods for classifying firms as policy sensitive versus policy neutral provide consistent evidence that analyst forecast errors and dispersion increase with EPU, even for firms not deemed to be particularly sensitive to policy.     

The intellectual structure of the journal Business Strategy and the Environment: A 25‐year author cocitation analysis

This article presents the intellectual structure and 25‐year author cocitation analysis of the journal Business Strategy and the Environment. The findings show that Business Strategy and the Environment is an emerging, well‐established journal in its field. The journal needs a core set of authors who are actively engaged in the production and certification of knowledge; further, it consists of a number of loosely linked research team contributors, each with its own areas of interest. The existence of these research teams is a sign of strength that characterizes the journal as it strives to foster a community of unified scholars whose published works advance our understanding of business strategic decisions and behavior with regard to the natural environment. This study is useful for contributors, readers, and editorial board members who form the journal's community of knowledge creation and certification.     

Effects of employees’ opportunities to influence in-store music on sales: Evidence from a field experiment

The effects of in-store music on consumer behavior have attracted much attention in the marketing literature, but surprisingly few studies have investigated in-store music in relation to employees. By conducting a field experiment in eight Filippa K fashion stores in Stockholm, Sweden, we investigate whether it is beneficial for store owners to give employees more opportunities to influence the in-store music. We randomly assigned the stores into a treatment group and a control group, with the employees in the treatment stores having the opportunity to influence the in-store music through an app developed by Soundtrack Your Brand (SYB). The experiment lasted 56 weeks and sales data were also gathered 22 weeks before the experiment, resulting in a total of 4626 observations. Our results show that sales decreased by 6% when the employees had the opportunity to influence the music played in the store, and the effect is driven by a reduction in sales of women's clothing. Interviews with the employees revealed that they had diverse music preferences, frequently changed songs, and preferred to play high-intensity songs. Employees thus seem to make choices regarding the in-store music that reduce sales, implying that store owners might want to limit their opportunities to influence the background music.