Inferring Market Structure from Customer Response to Competing and Complementary Products

We consider customer influences on market structure, arguing that market structure should explain the extent to which any given set of market offerings are substitutes or complements. We describe recent additions to the market structure analysis literature and identify promising directions for new research in market structure analysis. Impressive advances in data collection, statistical methodology and information technology provide unique opportunities for researchers to build market structure tools that can assist real-time marketing decision-making.     

Do institutional investors drive corporate social responsibility? International evidence

This paper assesses whether shareholders drive the environmental and social (E&S) performance of firms worldwide. Across 41 countries, institutional ownership is positively associated with E&S performance with additional tests suggesting this relation is causal. Institutions are motivated by both financial and social returns. Investors increase firms’ E&S performance following shocks that reveal financial benefits to E&S improvements. In cross section, investors increase firms’ E&S performance when they come from countries with a strong community belief in the importance of E&S issues, but not otherwise. As such, these institutional investors transplant their social norms regarding E&S issues around the world.     

A bivariate infinitely divisible law for modeling the magnitude and duration of monotone periods of log‐returns

The focus of this article is modeling the magnitude and duration of monotone periods of log‐returns. For this, we propose a new bivariate law assuming that the probabilistic framework over the magnitude and duration is based on the joint distribution of (X,N), where N is geometric distributed and X is the sum of an identically distributed sequence of inverse‐Gaussian random variables independent of N. In this sense, X and N represent the magnitude and duration of the log‐returns, respectively, and the magnitude comes from an infinite mixture of inverse‐Gaussian distributions. This new model is named bivariate inverse‐Gaussian geometric ( in short) law. We provide statistical properties of the model and explore stochastic representations. In particular, we show that the is infinitely divisible, and with this, an induced Lévy process is proposed and studied in some detail. Estimation of the parameters is performed via maximum likelihood, and Fisher's information matrix is obtained. An empirical illustration to the log‐returns of Tyco International stock demonstrates the superior performance of the law compared to an existing model. We expect that the proposed law can be considered as a powerful tool in the modeling of log‐returns and other episodes analyses such as water resources management, risk assessment, and civil engineering projects.     

The structure and infrastructure of Mexico's science and technology

The structure and infrastructure of the Mexican technical literature was determined. A representative database of technical articles was extracted from the Science Citation Index for the year 2002, with each article containing at least one author with a Mexican address. Many different manual and statistical clustering methods were used to identify the structure of the technical literature (especially the science and technology core competencies). One of the pervasive technical topics identified from the clustering, thin films research, was analyzed further using bibliometrics, in order to identify the infrastructure of this technology.     

Quality of Firms’ Exports and Distance to Destination Countries: First Evidence from Germany

This paper uses a tailor-made new data set of 7,112,614 observations for export quality (measured by the unit value of exports) at the firm-product-destination level for German and the reporting year 2011. Data are from 119,280 firms that exported 4986 products (recorded at the HS6-level) in 1,632,731 firm-product combinations to 174 countries. The paper investigates for the first time the link between the quality of firms’ exports and the distance to destination countries for Germany. It is shown that, in line with theory, the quality of exported goods and distance to destination countries are statistically positively correlated.