Are the BRIC countries overtaking intermediate countries in the race for international R&D? The case of Spain

The emergence of Brazil, Russia, India and China (BRIC) as international locations for foreign direct investment in R&D is a sign that multinationals are relocating their technological activities to new territories. This trend may weaken the supremacy of the developed countries until now considered leaders in innovation, and may mean the loss of the competitive advantages enjoyed by the countries considered intermediate innovators. This paper examines the situation of Spain as a typical intermediate economy and compares it to its main competitors among the BRICs. Based on eight case studies of subsidiaries with R&D centres in Spain, we conclude that the policies adopted by certain emerging economies to develop their national innovation systems are proving effective and that these countries now pose a threat to intermediate economies. However, the BRICs still lag behind in terms of the security of their institutional framework; this situation leaves intermediate countries in an advantageous position.     

Autocorrelation and masked heterogeneity in panel data models estimated by maximum likelihood

In a panel data model with random effects, when autocorrelation in the error is considered, (Gaussian) maximum likelihood estimation produces a dramatically large number of corner solutions: the variance of the random effect appears (incorrectly) to be zero, and a larger autocorrelation is (incorrectly) assigned to the idiosyncratic component. Thus heterogeneity could (incorrectly) be lost in applications to panel data with customarily available time dimension, even in a correctly specified model. The problem occurs in linear as well as nonlinear models. This article aims at pointing out how serious this problem can be (largely neglected by the panel data literature). A set of Monte Carlo experiments is conducted to highlight its relevance, and we explain this unpleasant effect showing that, along a direction, the expected log-likelihood is nearly flat.     

A cost analysis of SIR-Spheres yttrium-90 resin microspheres versus tyrosine kinase inhibitors in the treatment of unresectable hepatocellular carcinoma in France,Italy, Spain and the UK

Abstract

Background and aims: A wide range of treatment options are available for hepatocellular carcinoma (HCC), including systemic treatment with tyrosine kinase inhibitors (TKIs) such as sorafenib and lenvatinib, immunotherapies, locoregional therapies such as selective internal radiation therapy (SIRT) and treatments with curative intent such as resection, radiofrequency ablation and liver transplantation. Given the substantial economic burden associated with HCC treatment, the aim of the present analysis was to establish the cost of using SIRT with SIR-Spheres yttrium-90 (Y-90) resin microspheres versus TKIs from healthcare payer perspectives in France, Italy, Spain and the United Kingdom (UK).

Methods: A cost model was developed to capture the costs of initial systemic treatment with sorafenib (95%) or lenvatinib (5%) versus SIRT in patients with HCC in Barcelona Clinic Liver Cancer (BCLC) stages B and C. A nested Markov model was utilized to model transitions between progression-free survival (PFS), progression and death, in addition to transitions between subsequent treatment lines. Cost and resource use data were identified from published sources in each of the four countries.

Results: Relative to TKIs, SIRT with SIR-Spheres Y-90 resin microspheres were found to be cost saving in all four country settings, with the additional costs of the microspheres and the SIRT procedure being more than offset by reductions in drug and drug administration costs, and treatment of adverse events. Across the four country settings, total cost savings with SIR-Spheres Y-90 resin microspheres fell within the range 5.4–24.9% and SIRT resulted in more patients ultimately receiving treatments with curative intent (4.6 vs. 1.4% of eligible patients).

Conclusion: SIR-Spheres Y-90 resin microspheres resulted in cost savings relative to TKIs in the treatment of unresectable HCC in all four country settings, while increasing the proportion of patients who become eligible for treatments with curative intent.     

Taking,giving, and impure altruism in dictator games

We show that, if giving is equivalent to not taking, impure altruism could account for List’s (in Journal of Political Economy 115(3):482–493, 2007) finding that the payoff to recipients in a dictator game decreases when the dictator has the option to take. We examine behavior in dictator games with different taking options but equivalent final payoff possibilities. We find that recipients tend to earn more as the amount the dictator must take to achieve a given final payoff increases, a result consistent with the hypothesis that the cold prickle of taking is stronger than the warm glow of giving. We conclude that not taking is not equivalent to giving and agree with List (in Journal of Political Economy 115(3):482–493, 2007) that the current social preference models fail to rationalize the observed data.     

Motives for sharing in social networks

What motivates people in rural villages to share? We first elicit a baseline level of sharing using a standard, anonymous dictator game. Then using variants of the dictator game that allow for either revealing the dictator's identity or allowing the dictator to choose the recipient, we attribute variation in sharing to three different motives. The first of these, directed altruism, is related to preferences, while the remaining two are incentive-related (sanctions and reciprocity). We observe high average levels of sharing in our baseline treatment, while variation across individuals depends importantly on the incentive-related motives. Finally, variation in measured reciprocity within the experiment predicts observed ‘real-world’ gift-giving, while other motives measured in the experiment do not predict behavior outside the experiment.     

Examining the relationship between academic performance and workplace position: does the glass ceiling exist among graduates from the same university?

This study examines the relationship between academic performance and workplace position. Academic performance is measured by undergraduate grade point average (GPA). A series of ordered probit regression models are estimated to isolate the impact of undergraduate GPA on the probability that female and male graduates from the same university hold middle or upper management jobs within their companies. After all potential heterogeneity and explanatory variables are controlled for, results of the pooled regression models suggest that women are less likely to hold both middle and upper management positions. Further analysis also suggests that lower GPA significantly decreases the probability that women hold these positions, while GPA seems to have no significant impact on workplace position for men. Moreover, most factors which positively impact the probability that women attain these positions also benefit men more at the highest level.     

Does data matter? Statewide longitudinal data systems and student performance in the U.S.

Although many industries have benefited from advances in data-driven technology, education is making small steps in capitalizing on the huge potential of data systems. Since 2005, the U.S. Federal Government has been making large grants to help states build statewide longitudinal data systems (SLDS) with the goal of improving programme and teacher evaluation and engage in data-driven decision-making. We analyse whether the introduction of SLDSs improved student performance, measured using test scores for math and reading tests for 4th and 8th graders, as well as high school graduation rates. We find no effects of SLDSs on student performance up to 10 years from implementation. However, we find suggestive evidence that these systems may have long-run effects, emphasizing the long-run nature of educational data collection and policy analysis.     

UNDERSTANDING MEMBER CHARACTERISTICS AND COOPERATIVE PRICE EFFECTS: THE CASE OF THE ARGENTINEAN DAIRY SECTOR

Since the 1990s, Argentinean dairy‐processing cooperatives have lost considerable amounts of members and market share. We analyse their current role by investigating the characteristics of farmers who continue delivering to them and price differentials between cooperatives and investor‐oriented firms (IOFs). A probit regression model applied to 917 farmers suggests that cooperative farmers are more disadvantaged than farmers delivering to IOFs in terms of education, farm size and productive technology. Moreover, t‐tests applied to data representing 70 per cent of national volume indicate that farmers delivering to cooperatives are between 11 per cent and 29 per cent smaller than those delivering to IOFs, depending on province. A hierarchical multilevel regression model applied to 9,720 transactions among farmers and processors shows that, after controlling for quantity and quality, cooperatives pay lower (3.5%) but more stable prices than IOFs. In a context of rapid structural change, we observe a market in which larger farmers deliver to IOFs and smaller farmers deliver to cooperatives and conclude that, at the expense of paying lower prices, cooperatives may act as buyers of last resort for otherwise disadvantaged farmers.     

Does One Size Fit All? A currency union with asymmetric transmissions and a stability pact

The theory of optimal currency areas stresses that a single currency zone should have symmetry across shocks and structures. What happens if the monetary transmission mechanisms differ so that a common monetary policy has different effects in different places? Using a fully specified econometric model, we find that such asymmetries are likely to destabilise the business cycle and put countries out of phase with each other in a way that cannot be corrected by deficit-constrained national fiscal policies. Market discipline, however, could achieve this. Hence, the question is whether the markets would create sufficient discipline on their own.     

Environmental liability and the capital structure of firms

This paper analyses the impact of environmental liability regimes on the capital structure of firms. We show that imposing environmental liability only on polluting firms, with limited liability, increases use of bank debt. Extending environmental liability to banks lowers bank borrowing relative to liability only on firms, with an ambiguous effect relative to no liability. Using US industry-level data we estimate a reduced-form model of bank borrowing by firms and show that the introduction of environmental liability only on firms increased bank borrowing by 15–20%, but when liability was extended to banks, borrowing returned to a level slightly higher than with no liability.