Competition in the traditional sector does not matter for the ‘Core–Periphery’ model

We modify Paul Krugman’s (1991) ‘Core–Periphery’ model by replacing the traditional competitive sector with a monopolistically competitive one. We show that the structure of spatial equilibria remains the same as in the original model. This result continues to hold true under Cournot or Bertrand oligopolistic competition with free entry in the traditional sector. The key factor that explains why the nature of competition in the traditional sector does not matter for the spatial equilibria is constant expenditure shares–due to nested Cobb–Douglas and CES preferences–which imply that trade in the traditional sector is independent from its sectoral characteristics.     

Trade patterns and export pricing under non-CES preferences

We develop a two-factor, two-sector trade model of monopolistic competition with variable elasticity of substitution. Firms' profits and sizes may increase or decrease with market integration depending on the degree of asymmetry between countries. The country in which capital is relatively abundant is a net exporter of the manufactured good, although both firm sizes and profits are lower in this country than in the country where capital is relatively scarce. The pricing policy adopted by firms depends neither on capital endowment nor country asymmetry. It is determined by the nature of preferences: when demand elasticity increases (decreases) with consumption, firms practice dumping (reverse-dumping).     

The future of food demand: understanding differences in global economic models

Understanding the capacity of agricultural systems to feed the world population under climate change requires projecting future food demand. This article reviews demand modeling approaches from 10 global economic models participating in the Agricultural Model Intercomparison and Improvement Project (AgMIP). We compare food demand projections in 2050 for various regions and agricultural products under harmonized scenarios of socioeconomic development, climate change, and bioenergy expansion. In the reference scenario (SSP2), food demand increases by 59–98% between 2005 and 2050, slightly higher than the most recent FAO projection of 54% from 2005/2007. The range of results is large, in particular for animal calories (between 61% and 144%), caused by differences in demand systems specifications, and in income and price elasticities. The results are more sensitive to socioeconomic assumptions than to climate change or bioenergy scenarios. When considering a world with higher population and lower economic growth (SSP3), consumption per capita drops on average by 9% for crops and 18% for livestock. The maximum effect of climate change on calorie availability is ?6% at the global level, and the effect of biofuel production on calorie availability is even smaller.     

Nonparametric estimation for a current status right‐censored data model

We consider the Case 1 interval censoring approach for right‐censored survival data. An important feature of the model is that right‐censored event times are not observed exactly, but at some inspection times. The model covers as particular cases right‐censored data, current status data, and life table survival data with a single inspection time. We discuss the nonparametric estimation approach and consider three nonparametric estimators for the survival function of failure time: maximum likelihood, pseudolikelihood, and the naïve estimator. We establish strong consistency of the estimators with the L₁ rate of convergence. Simulation results confirm consistency of the estimators.     

Costly Ties: Social Capital as a Retardant of Network‐Level Entrepreneurial Orientation

Challenging social capital research, we argue that network top management teams (TMTs) established to support entrepreneurship in strategic multipartner networks should be careful in developing ties to outside organizations and networks. We suggest that such ties limit the network TMT's ability to engage in the strategy‐making processes needed to facilitate entrepreneurial orientation on a network level. Based on five‐year panel data from 53 formalized networks of small and medium‐sized enterprises, we demonstrate that homogenous and highly educated network TMTs can compensate the negative effects of TMT ties to other organizations, but not the negative effects of interlocking directorates.     

Network board continuity and effectiveness of open innovation in Swedish strategic small-firm networks

Increasing adoption of open innovation as an alternative route to research and development necessitates the development of new ways to organize innovation, as well as reassessment of existing ways. Much like traditional corporations that subscribe to the closed innovation paradigm, novel organizational arrangements targeting open innovation, such as small-firm networks, employ boards to effectively manage joint research-and-development activities. These boards are similar yet different from traditional corporate boards; as such, they may have different requirements for proper functioning. We use 5-year longitudinal data on 53 Swedish strategic small-firm networks to investigate how the boards should be organized to help improve the innovative status of network participants. We expand the set of tools available for effective organization of the boards' operations and emphasize the effects of network board continuity (rates of renewal) on network members' innovative performance. We argue that the relationship is curvilinear (U-shaped) and demonstrate that it is more pronounced in larger networks.     

No-arbitrage bounds for the forward smile given marginals

We explore the robust replication of forward-start straddles given quoted (Call and Put options) market data. One approach to this problem classically follows semi-infinite linear programming arguments, and we propose a discretisation scheme to reduce its dimensionality and hence its complexity. Alternatively, one can consider the dual problem, consisting in finding optimal martingale measures under which the upper and the lower bounds are attained. Semi-analytical solutions to this dual problem were proposed by Hobson and Klimmek [Financ. Stochastics, 2015, 19, 189–214] and by Hobson and Neuberger [Math. Financ., 2012, 22, 31–56]. We recast this dual approach as a finite-dimensional linear program, and reconcile numerically, in the Black–Scholes and in the Heston model, the two approaches.     

Markov-switching in target stocks during takeover bids

This paper examines shifts in the market betas and the conditional volatility of stock prices of takeover targets. Using daily stock prices of five European and American targets, we find that adequately specified Markov-switching GARCH models are capable of detecting statistically significant regime-switches in all takeover deal-types (in cash bids, pure share-exchange bids, mixed bids). In particular, conditional volatility regime-switches are found to be most clear-cut for cash bids. Our econometric findings have implications for a broad range of financial applications such as the valuation of target stock options.     

Forward-looking versus recursive-dynamic modeling in climate policy analysis: A comparison

This paper develops a multi-regional general equilibrium model for climate policy analysis based on the latest version of the MIT Emissions Prediction and Policy Analysis (EPPA) model. We develop two versions so that we can solve the model either as a fully inter-temporal optimization problem (forward-looking, perfect foresight) or recursively. The standard EPPA model on which these models are based is solved recursively, and it is necessary to simplify some aspects of it to make inter-temporal solution possible. The forward-looking capability allows one to better address economic and policy issues such as borrowing and banking of GHG allowances, efficiency implications of environmental tax recycling, endogenous depletion of fossil resources, international capital flows, and optimal emissions abatement paths among others. To evaluate the solution approaches, we benchmark each version to the same macroeconomic path, and then compare the behavior of the two versions under a climate policy that restricts greenhouse gas emissions. We find that the energy sector and CO₂ price behavior are similar in both versions (in the recursive version of the model we force the inter-temporal theoretical efficiency result that abatement through time should be allocated such that the CO₂ price rises at the interest rate.) The main difference that arises is that the macroeconomic costs are substantially lower in the forward-looking version of the model, since it allows consumption shifting as an additional avenue of adjustment to the policy. On the other hand, the simplifications required for solving the model as an optimization problem, such as dropping the full vintaging of the capital stock and fewer explicit technological options, likely have effects on the results. Moreover, inter-temporal optimization with perfect foresight poorly represents the real economy where agents face high levels of uncertainty that likely lead to higher costs than if they knew the future with certainty. We conclude that while the forward-looking model has value for some problems, the recursive model produces similar behavior in the energy sector and provides greater flexibility in the details of the system that can be represented.