We use data from a federally sponsored survey about teenagers' marijuana consumption in the United States. We find that, teenagers under predict future marijuana use and that this inaccuracy is moderated by the extent of use. We also find that misprediction is affected by both attitudes and the situation through main and interaction effects. We outline some policy implications of our findings.
Marketing activities that influence shoppers along the various stages of their path-to-purchase are gaining attention from both manufacturers and retailers. Using a dataset with detailed information on 105 new products (NPs) launched in the U.K. by 44 leading brands and sold across 13 major retail banners, we provide strong support for the prominent role of both upper- and lower-funnel marketing actions that influence consumers before (upper) or during (lower) their shopping trip.
By almost any measure, marketing academia is in a better shape than it has ever been. Job prospects for PhD students have improved substantially in recent years. According to the 2017 Marketing Academia Labor Report, there were 1.83 candidates per new assistant professor (“rookie”) position compared to 2.85 to 1 in 2010. Moreover, there are 37 open positions for advanced assistant professors with only 14 people looking for such positions. The median 12-month salary for entry-level positions is $190,000, up from $162,260 in 2010. Colleagues in the School of Arts & Sciences, as well as most people in the government or private sector, would gladly enjoy such opportunities.
The extent to which federal investment in research crowds out or decreases incentives for investment from other funding sources remains an open question. Scholarship on research funding has focused on the relationship between federal and industry or, more comprehensively, non-federal funding without disentangling the other sources of research support that include nonprofit organizations and state and local governments. This paper extends our understanding of academic research support by considering the relationships between federal and non-federal funding sources provided by the National Science Foundation Higher Education Research and Development Survey.
We are now in the age of Big, and, seemingly, ever Bigger Data. The current public discussion focuses on the avalanche of data, due to fact that nearly all written (and other) materials are now available in a digital format, which simplifies their accessibility, extraction, classification, and analysis. Even more so, the adoptions of online digital platforms create new and ever-larger data quantities every day. While created for other purposes the potential for scientific socio-economic research appears simultaneously extremely promising and extremely uncertain – very much like answers in search of good questions.
Why do investments in certain places yield jobs, growth, and prosperity while similar investments made in seemingly identical places fail to produce the desired results? Starting with the observation that innovation clusters spatially across a broad spectrum of industries, my work seeks to understand the mechanisms and institutions that promote the creation of useful knowledge. In my conceptualization, entrepreneurs, as the agents who recognize opportunity, mobilize resources, and create value, are key to the creation of institutions and the building of capacity that will sustain regional economic development.
This paper analyzes factors that shape the technological capabilities of individual U.S. states and European countries, which are arguably comparable policy units. The analysis demonstrates convergence in technological capabilities from 2000 to 2007.
Venture philanthropy presents a new model of research funding that is particularly helpful to those fighting orphan diseases, which actively manages the commercialization process to accelerate scientific progress and material outcomes. This paper begins by documenting the growing importance of foundations as a source of funding academic research as traditional funding from industry and government sources decline.
When multinational corporations face foreign marketing crises, the psychic distance between the home and host country represents a distinct challenge. This paper examines the curvilinear relationship between psychic distance and firm performance during marketing crises, and the moderating role of marketing capabilities.
This study examines the performance consequences of web personalization (WP), a type of personalization in which web content is personalized and recommendations are offered based on customer preferences. Despite the growing popularity of personalization, there is a dearth of research at the firm level on whether and how web personalization creates shareholder value. We develop and test a conceptual model that proposes that the impact of WP on shareholder value is mediated by (1) cash flow volatility and (2) premium price.
Recent health policy efforts have attempted to promote constructive conversations regarding cost-effectiveness by increasing transparency for both patients and physicians. Spurred by access and cost challenges resulting from increasing pharmaceutical prices, the Centers for Medicare & Medicaid Services (CMS) proposed a rule that would require direct-to-consumer prescription drug advertisements to include the list price for a typical 30-day course of therapy, according to their weighted average cost. This Viewpoint discusses implementing price transparency for health care products and services where physicians spend an increasing proportion of their time—in electronic health records (EHRs).
We analyze how frivolous patent-infringement claims made by non-practicing entities (NPEs, or "patent trolls") affect startups' ability to grow and create jobs, innovate, and raise capital. Our identification strategy exploits the staggered adoption of anti-troll laws in 32 U.S. states.
This paper evaluates the role of various volatility specifications, such as multiple stochastic volatility (SV) factors and jump components, in appropriate modeling of equity return distributions.
To enhance our understanding of emerging markets, we study a data set from the Casablanca stock exchange containing all the transaction records over a long span. The exchange was included in 1996 in the International Finance Corporation (IFC) data base roughly 3 years after important market reforms.
We propose a class of two factor dynamic models for duration data and related risk analysis in finance and insurance. Empirical findings suggest that the conditional mean and (under) overdispersion of times elapsed between stock trades feature various patterns of temporal dependence.
Simulation-based estimation methods have become more widely used in recent years. We propose a set of tests for structural change in models estimated via simulated method of moments (see Duffe and Singleton (Econometrica 61 (1993) 929).