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To model the real world truthfully and to foresee an unrealized event are very difficult but crucial tasks. Particularly for the decision-making of an economic agent, no matter if it is a person, household, firm or government, these predictions are a useful guidance. At this point, we see the importance of dynamic modeling analyses in economics due to their realistic ability both in micro and macro levels. Within this framework, this book gathers empirical studies that examine the economic issues from a dynamic perspective.
To model the real world truthfully and to foresee an unrealized event are very difficult but crucial tasks. Particularly for the decision-making of an economic agent, no matter if it is a person, household, firm or government, these predictions are a useful guidance. At this point, we see the importance of dynamic modeling analyses in economics due to their realistic ability both in micro and macro levels. Within this framework, this book gathers empirical studies that examine the economic issues from a dynamic perspective.
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Hale K¿rer Silva Lecuna is an economist and mathematician focused on income distribution, economic complexity, econophysics and network economics. Currently she teaches and researches at Band¿rma Onyedi Eylul University, Turkey. She carried out researches at The New School for Social Research (NSSR, New York) and Kiel University (CAU, Germany), and also gave lectures at St. John¿s University and the Henry George School of Social Science in New York.
Inhaltsangabe
Nonlinear Approach to XR Volatility, Asymmetric XR Pass-through, Growth-Unemployment and Time Varying Causality, Complex Adaptive System, Dynamic Volatility Spillover, Real Interest Differential, Policy Interactions, GRA-WASPAS, Fractal Nature of Inequality, Environmental Kuznets, Pharmaceutical Markets' Generic Entry, Aggregate Data Use
