Europe and East Asia in the context of regionalization: Theory and economic policy

Much academic interest has recently centered on economic regionalism as a framework of international economic relations. The European Community (EC) has been a focal point. Other regional economic organizations (APEC, NAFTA), have been subjects of debate.This paper discusses three principal arguments: (1) the “natural”/“optimal” regional grouping, (2) transaction cost advantage in a regional model, and (3) the balancing of intraregional and extra-regional economies. Indeed, the argument is most certainly for an international regime of an “open,” not a “fortress” economic regionalism.This paper examines the subject relative to economic theory and policy.     

III. Weltwirtschaft und wirtschaft einzlner länderund und gebiete

Ohne Zusammenfassung     

Drift dependence of optimal trade execution strategies under transient price impact

We give a complete solution to the problem of minimizing the expected liquidity costs in the presence of a general drift when the underlying market impact model has linear transient price impact with exponential resilience. It turns out that this problem is well-posed only if the drift is absolutely continuous. Optimal strategies often do not exist, and when they do, they depend strongly on the derivative of the drift. Our approach uses elements from singular stochastic control, even though the problem is essentially non-Markovian due to the transience of price impact and the lack in Markovian structure of the underlying price process. As a corollary, we give a complete solution to the minimization of a certain cost-risk criterion in our setting.     

Interpretable machine learning for real estate market analysis

Machine Learning (ML) excels at most predictive tasks but its complex nonparametric structure renders it less useful for inference and out-of sample predictions. This article aims to elucidate and enhance the analytical capabilities of ML in real estate through Interpretable ML (IML). Specifically, we compare a hedonic ML approach to a set of model-agnostic interpretation methods. Our results suggest that IML methods permit a peek into the black box of algorithmic decision making by showing the web of associative relationships between variables in greater resolution. In our empirical applications, we confirm that size and age are the most important rent drivers. Further analysis reveals that certain bundles of hedonic characteristics, such as large apartments in historic buildings with balconies located in affluent neighborhoods, attract higher rents than adding up the contributions of each hedonic characteristic. Building age is shown to exhibit a U-shaped pattern in that both the youngest and oldest buildings attract the highest rents. Besides revealing valuable distance decay functions for spatial variables, IML methods are also able to visualise how the strength and interactions of hedonic characteristics change over time, which investors could use to determine the types of assets that perform best at any given stage of the real estate investment cycle.     

The innovator's media dilemma: How journalists cover incumbents' adoption of discontinuous technologies

We offer a new vantage to the literature on the role of infomediaries in incumbent firms' struggles to adopt discontinuous technologies: the perspective of news media. Specifically, we combine the discontinuous technology literature with studies on news media journalism to theorize that journalists cover an incumbent's new product introductions differently, depending on whether a given new product builds on a discontinuous technology or on the respective established, continuous technology. First, discontinuous-technology-based product introductions receive a greater volume of coverage than continuous-technology-based product introductions because journalists prefer covering issues that are novel, deviate from the conventional, and potentially strongly impact society. Second, the coverage of discontinuous-technology-based product introductions is more divergent in tenor than the coverage of continuous-technology-based product introductions, as journalists seek to present opposing and thus more engaging opinions. Our analyses of unique archival data from two samples of product introductions in the automotive and photography industries, respectively, support our hypotheses. We also find intriguing indications that news media coverage of new products introductions using hybrid technologies is significantly context-dependent. Overall, our study points to so-far undescribed, media-related dilemmas for incumbent firms that aim to adopt discontinuous technologies.     

Truly standard-essential patents? A semantics-based analysis

Standard-essential patents (SEPs) have become a key element of technical coordination via standard-setting organizations. Yet, in many cases, it remains unclear whether a declared SEP is truly standard-essential. To date, there is no automated procedure that allows for a scalable and objective assessment of SEP status. This paper introduces a semantics-based method for approximating the standard essentiality of patents. We provide details on the procedure that generates the measure of standard essentiality and present the results of several validation and robustness exercises. We illustrate the measure's usefulness in estimating the share of true SEPs in firm patent portfolios for several telecommunication standards.