Off the Charts: Massive Unexplained Heterogeneity in a Global Study of Ambiguity Attitudes
Ambiguity attitudes have been prominently used in economic models, but we still know little about their demographic correlates or their generalizability beyond the West. We analyze the ambiguity attitudes of almost 3,000 students across thirty countries. For gains, we find ambiguity aversion everywhere, while ambiguity aversion is much weaker for losses. Ambiguity attitudes change systematically with probabilities for both gains and losses. Much of the between-country variation can be explained through a few macroeconomic characteristics. In contrast, we find massive unexplained variation at the individual level. We also find much unexplained heterogeneity in individual responses to different decision tasks.
Hegel’s philosophy has witnessed periods of revival and oblivion, at times considered to be an unrivalled and all-embracing system of thought, but often renounced with no less ardour. This book renews the dialogue with Hegel by looking at his legacy as a source of insight and judgement that helps us rethink contemporary economics. This book focuses on a concept of institution which is equally important for Hegel's political philosophy and for economic theory to date.
The key contributions of this Hegelian perspective on economics lead us to the synthesis of traditional approaches and new ideas gained in economic experiments and advanced by neuroeconomists, sociologists and cognitive scientists. The proper account of contemporary 'civil society' involves comprehending it as a historically evolving totality of individual minds, ideas and intersubjective structures that are mutually dependent, tied by recognitive relations, and assert themselves as a whole in the ongoing performative movement of 'objective spitit'. The ethics of recognition is paired with the ethics of associations that supports moral principles and gives them true, concrete universality.
This unusual constellation of seemingly remote fields suggests that Hegel, read in a pragmatist mode, anticipated the new theories and philosophies of extended mind, social cognition and performativity. By providing a new conceptual apparatus and reformulating the theory of institutions in the light of this new synthesis, this book claims to give new meaning both to Hegel as interpreted from today, and to the social sciences. Seen from this perspective, such phenomena as cooperation in games, personal identity or justice in the version of Amartya Sen's 'realization-focused comparisons' are reinscribed into the logic of institutional theory. This 'Hegel' clearly goes beyond the limits of philosophical discussion and becomes a decisive reference for economists, sociologists, political scientists and other scholars who study the foundations and consequences of human sociality and try to explore and design the institutions necessary for a worthy common life.
Supply chain management is rather new scientific field that reflects the concept of integrated business planning. This concept should be experts and practitioners in logistics and strategic management. Today, integrated planning to become a reality thanks to the development of information technology and computer technology. At the same time to achieve a competitive advantage is not enough high-speed, low-cost data transfer process. In order to effectively apply information technology tools necessary to develop a quantitative analysis of the effectiveness of supply chain management. The mam element of this tool are optimization models that reveal the complex interactions, the wave and the synergies that arise in supply chain management. In this article we consider one of the classes of such models - the so-called dynamic models of conveyor systems, processing of applications.
Uncertainty is a concept associated with data acquisition and analysis, usually appearing in the form of noise or measure error, often due to some technological constraint. In supervised learning, uncertainty affects classification accuracy and yields low quality solutions. For this reason, it is essential to develop machine learning algorithms able to handle efficiently data with imprecision. In this paper we study this problem from a robust optimization perspective. We consider a supervised learning algorithm based on generalized eigenvalues and we provide a robust counterpart formulation and solution in case of ellipsoidal uncertainty sets. We demonstrate the performance of the proposed robust scheme on artificial and benchmark datasets from University of California Irvine (UCI) machine learning repository and we compare results against a robust implementation of Support Vector Machines.
The paper focuses on the concept of ‘financial strategies’ and addresses two problems: first, how to define the concepts of financial strategy and strategizing, and second, how to operationalize them into indicators for empirical research. The introduction to this new concept is based on the conviction that strategizing (which is understood as a specific attitude to life held by people who do not live for the moment, think about their future even if it is rather uncertain, set long-term financial goals and act towards achieving them), is an intrinsic factor in the financial behavior of people. It is argued that it is not possible to define financial strategy or to operationalize it objectively and universally since people operate in very different circumstances; i.e. in different institutional environments or at different stages of life, etc. The solution must be found in the interactionist sociological perspective with the emphasis on the construction of the interpretation of a situation: how individuals themselves make sense of financial strategizing in their own environment, the options they perceive and the constraints they feel.
The paper contains empirical estimates of how behavioral factor (an attitude towards risk), rationality and uncertainty influence on investment decisions (capital investment) of Russian companies. The research is guided by the models of Sandmo (1971), Bo and Sterken (2007). We have tested a hypothesis, that risk preferring companies tend to grow investment, while risk averse companies are more likely to decrease the number of investment projects under uncertainty. The following rational variables, explaining investment policy, are included into the model: sales growth, market power, return on equity, debt to equity ratio, current liquidity. Since the time span of the research includes both the crisis period (years 2008, 2009) and the period before the crisis (2004-2007) we have also estimated the time effect on the companies’ investments.
The following estimators have been used to get the results: ordinary least squares; fixed effects model; random effects model; panel data models with binary variables controlling time effects; Hausman-Teylor’s model, generalized method of moments.
The paper examines the structure, governance, and balance sheets of state-controlled banks in Russia, which accounted for over 55 percent of the total assets in the country's banking system in early 2012. The author offers a credible estimate of the size of the country's state banking sector by including banks that are indirectly owned by public organizations. Contrary to some predictions based on the theoretical literature on economic transition, he explains the relatively high profitability and efficiency of Russian state-controlled banks by pointing to their competitive position in such functions as acquisition and disposal of assets on behalf of the government. Also suggested in the paper is a different way of looking at market concentration in Russia (by consolidating the market shares of core state-controlled banks), which produces a picture of a more concentrated market than officially reported. Lastly, one of the author's interesting conclusions is that China provides a better benchmark than the formerly centrally planned economies of Central and Eastern Europe by which to assess the viability of state ownership of banks in Russia and to evaluate the country's banking sector.
The paper examines the principles for the supervision of financial conglomerates proposed by BCBS in the consultative document published in December 2011. Moreover, the article proposes a number of suggestions worked out by the authors within the HSE research team.