Strategic tariffs, tariff jumping, and heterogeneous firms

The majority of research to date investigating strategic tariffs in the presence of multinationals finds a knife-edge result where, in equilibrium, all foreign firms are either multinationals or exporters. Utilizing a model of heterogeneous firms, we find equilibria in which both pure exporters and multinationals coexist. We utilize this model to study the case of endogenously chosen tariffs. As is standard, Nash equilibrium tariffs are higher than the socially optimal tariffs. Unlike existing models with homogeneous firms, we find that non-cooperative tariffs promote the existence of low-productivity firms relative to the socially optimal tariffs. This highlights a new source of inefficiency from tariff competition not found in models of homogeneous firms. In addition, we find that in many cases the Nash equilibrium tariff when FDI is a potential firm structure is lower than when it is not. As a result, FDI improves welfare by mitigating tariff competition.     

Rational conjectures and evolutionary beliefs in public goods games

This paper applies conjectural variations (CVs) to a model of public good provision and shows that CVs are superior to Nash beliefs. In addition to imposing consistency, as Bresnahan, I show that consistent conjectures (CCs) are obtained from individual payoff maximization. CCs emerge as the unique subgame perfect Nash equilibrium (NE) in a two-stage game in which beliefs are chosen in Stage 1 and quantities in Stage 2. There is an individual payoff advantage to non-Nash behavior, generating a Prisoner's Dilemma in conjectures in addition to the usual free-rider problem associated with public goods. The correct and payoff maximizing conjecture is the unique equilibrium in an evolutionary framework against a player with Nash conjectures. The consistent conjecture equilibrium is the unique evolutionary equilibrium when both players conjectures evolve. Hence, the NE prediction is too optimistic when players have rational conjectures.     

A quantile regression approach for estimating panel data models using instrumental variables

We introduce a quantile regression approach to panel data models with endogenous variables and individual effects correlated with the independent variables. We find newly developed quantile regression methods can be easily adapted to estimate this class of models efficiently.     

Regulation and welfare: evidence from paragraph IV generic entry in the pharmaceutical industry

This article estimates welfare effects of accelerated generic entry via Paragraph IV challenges. Using data from 2000–2008 for hypertension drugs in the United States, we estimate demand using a random‐coefficients logit model. We find consumers gain $42 billion whereas producers lose $32.5 billion from entry. This modest $9.5 billion gain in social welfare is consistent with our observation that overall consumption does not increase after entry—generic sales displace branded sales, shifting surplus downstream from producers to consumers, insurance companies, and retailers. We demonstrate significant cross‐molecular substitution and discuss challenges in determining what fraction of downstream surplus actually goes to consumers.     

A systematic review of cost-effectiveness modeling of pharmaceutical therapies in neuropathic pain: variation in practice,key challenges,and recommendations for the future

Objectives: Complexities in the neuropathic-pain care pathway make the condition difficult to manage and difficult to capture in cost-effectiveness models. The aim of this study is to understand, through a systematic review of previous cost-effectiveness studies, some of the key strengths and limitations in data and modeling practices in neuropathic pain. Thus, the aim is to guide future research and practice to improve resource allocation decisions and encourage continued investment to find novel and effective treatments for patients with neuropathic pain.

Methods: The search strategy was designed to identify peer-reviewed cost-effectiveness evaluations of non-surgical, pharmaceutical therapies for neuropathic pain published since January 2000, accessing five key databases. All identified publications were reviewed and screened according to pre-defined eligibility criteria. Data extraction was designed to reflect key data challenges and approaches to modeling in neuropathic pain and based on published guidelines.

Results: The search strategy identified 20 cost-effectiveness analyses meeting the inclusion criteria, of which 14 had original model structures. Cost-effectiveness modeling in neuropathic pain is established and increasing across multiple jurisdictions; however, amongst these studies, there is substantial variation in modeling approach, and there are common limitations. Capturing the effect of treatments upon health outcomes, particularly health-related quality-of-life, is challenging, and the health effects of multiple lines of ineffective treatment, common for patients with neuropathic pain, have not been consistently or robustly modeled.

Conclusions: To improve future economic modeling in neuropathic pain, further research is suggested into the effect of multiple lines of treatment and treatment failure upon patient outcomes and subsequent treatment effectiveness; the impact of treatment-emergent adverse events upon patient outcomes; and consistent and appropriate pain measures to inform models. The authors further encourage transparent reporting of inputs used to inform cost-effectiveness models, with robust, comprehensive and clear uncertainty analysis and, where feasible, open-source modeling is encouraged.     

Household Electricity Demand, Revisited

Recent efforts to restructure electricity markets have renewed interest in assessing how consumers respond to price changes. This paper develops a model for evaluating the effects of alternative tariff designs on electricity use. The model concurrently addresses several interrelated difficulties posed by nonlinear pricing, heterogeneity in consumer price sensitivity, and consumption aggregation over appliances and time. We estimate the model using extensive data for a representative sample of 1300 California households. The results imply a strikingly skewed distribution of household electricity price elasticities in the population, with a small fraction of households accounting for most aggregate demand response. We then estimate the aggregate and distributional consequences of recent tariff structure changes in California, the consumption effects of which have been the subject of considerable debate.     

Digital gaming culture in Vietnam: an exploratory study

ABSTRACT

New information and communication technologies continue to spread rapidly into the Asian marketplace, which has led to new patterns of leisure consumption, one of the most popular being digital gaming. However, in Vietnam there is limited research on gaming as a leisure activity. The purpose of this study is to explore the phenomenon of digital gaming in Vietnam to better understand how it is practiced in this culture. Semi-structured interviews were conducted with twenty-five gaming industry figures and gamers. Thematic analysis was used to guide data collection and analysis. The findings indicate that glocalisation, socialised gaming practices and competitiveness characterise the Vietnamese gaming experience. The distinct culture of Vietnam combined with globalised gaming consumption habits has created new modes of play culture, and hence leisure experiences that are growing in pervasive and influential ways.     

Accounting Research: Where Now?

This paper provides a commentary on the studies of Barth (2015), Dyckman and Zeff (2015), Ohlson (2015), Sunder (2015), and Whittington (2015) as they relate to past, present, and future directions in accounting research.     

“He just didn’t seem to understand the banter”: Bullying or simply establishing social cohesion?

Within the professional kitchen bullying is reported as widespread, aggressive and related to a significant retention problem. This research explores negative behaviour in professional kitchens and its impact on organisational commitment. A mixed methods approach is used employing a survey among chefs followed by semi-structured interviews. An exploratory factor analysis examines the underlying constructs of bullying and job satisfaction and data are analysed through Partial Least Squares. Our research highlights that bullying behaviour is experienced most by younger, more junior chefs. However verbal bullying, the form most strongly reported, has no effect on either satisfaction or commitment. Emergent themes of communication and inclusion illustrate bullying behaviour to be a cohesive aspect of kitchen culture. Our findings suggest behavioural impacts, rather than bullying characteristics, must be considered within their context in order to establish whether or not they are actually damaging to an industry.