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The book introduces the New Keynesian framework, historically through a literature overview and through a step-by-step derivation of a New Keynesian Phillips curve, an intertemporal IS curve, and a targeting rule for the central bank. This basic version is then expanded by introducing cost and demand shocks and uncertainty. The latter enters the model via second order Taylor approximation instead of linearization. Bringing all equations together results in an equilibrium condition which is simulated with a wide range of parameter values, including possible crisis scenarios. The author finds that accounting for uncertainty – regarding growth and inflation expectations – can lead to lower nominal interest rates set by the central bank. Contents · Historical recapitulation of DSGE Modeling · Derivation of a basic New Keynesian Model · Augmentation with persistent shocks and uncertainty · Comparative statics and a wide range of numerical simulations · Mathematical concepts and background information in the appendix Target Groups · Researchers and graduate students in macroeconomics and monetary policy · Managers and practitioners in the fields of monetary economics The Author Tobias Kranz obtained his Master of Science degree in Economics at the University of Trier in 2015. He has been working as postgraduate at the chair of Empirical Economics (University of Trier) since 2016. .

Economic theory. --- Macroeconomics. --- Economics. --- Macroeconomics/Monetary Economics//Financial Economics. --- Economic Theory/Quantitative Economics/Mathematical Methods. --- Economic theory --- Political economy --- Economics --- Social sciences --- Economic man

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This is the first monograph that discusses in detail the interactions between Fourier analysis and dynamic economic theories, in particular, business cycles. Many economic theories have analyzed cyclical behaviors of economic variables. In this book, the focus is on a couple of trials: (1) the Kaldor theory and (2) the Slutsky effect. The Kaldor theory tries to explain business fluctuations in terms of nonlinear, 2nd-order ordinary differential equations (ODEs). In order to explain periodic behaviors of a solution, the Hopf-bifurcation theorem frequently plays a key role. Slutsky's idea is to look at the periodic movement as an overlapping effect of random shocks. The Slutsky process is a weakly stationary process, the periodic (or almost periodic) behavior of which can be analyzed by the Bochner theorem. The goal of this book is to give a comprehensive and rigorous justification of these ideas. Therefore, the aim is first to give a complete theory that supports the Hopf theorem and to prove the existence of periodic solutions of ODEs; and second to explain the mathematical structure of the Bochner theorem and its relation to periodic (or almost periodic) behaviors of weakly stationary processes. Although these two targets are the principal ones, a large number of results from Fourier analysis must be prepared in order to reach these goals. The basic concepts and results from classical as well as generalized Fourier analysis are provided in a systematic way. Prospective readers are assumed to have sufficient knowledge of real, complex analysis. However, necessary economic concepts are explained in the text, making this book accessible even to readers without a background in economics.

Fourier analysis. --- Economic theory. --- Fourier Analysis. --- Economic Theory/Quantitative Economics/Mathematical Methods. --- Economic theory --- Political economy --- Social sciences --- Economic man --- Analysis, Fourier --- Mathematical analysis

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This book presents a system view of the digital scientific and technological revolution, including its genesis and prerequisites, current trends, as well as current and potential issues and future prospects. It gathers selected research papers presented at the 12th International Scientific and Practical Conference, organized by the Institute of Scientific Communications. The conference “Artificial Intelligence: Anthropogenic Nature vs. Social Origin” took place on December 5–7, 2019 in Krasnoyarsk, Russia. The book is intended for academic researchers and independent experts studying the social and human aspects of the Fourth Industrial Revolution and the associated transition to the digital economy and Industry 4.0, as well as the creators of the legal framework for this process and its participants – entrepreneurs, managers, employees and consumers. It covers a variety of topics, including “intelligent” technologies and artificial intelligence, the digital economy, the social environment of the Fourth Industrial Revolution and its consequences for humans, the regulatory framework of the Fourth Industrial Revolution, and the “green” consequences, prospects and financing of the Fourth Industrial Revolution. .

Technological innovations --- Computational intelligence. --- Economic theory. --- Computational Intelligence. --- Economic Theory/Quantitative Economics/Mathematical Methods. --- Economic theory --- Political economy --- Social sciences --- Economic man --- Intelligence, Computational --- Artificial intelligence --- Soft computing

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This book presents both methodological papers on and examples of applying behavioral predictive models to specific economic problems, with a focus on how to take into account people's behavior when making economic predictions. This is an important issue, since traditional economic models assumed that people make wise economic decisions based on a detailed rational analysis of all the relevant aspects. However, in reality – as Nobel Prize-winning research has shown – people have a limited ability to process information and, as a result, their decisions are not always optimal. Discussing the need for prediction-oriented statistical techniques, since many statistical methods currently used in economics focus more on model fitting and do not always lead to good predictions, the book is a valuable resource for researchers and students interested in the latest results and challenges and for practitioners wanting to learn how to use state-of-the-art techniques. .

Computational intelligence. --- Economic theory. --- Computational Intelligence. --- Economic Theory/Quantitative Economics/Mathematical Methods. --- Economic theory --- Political economy --- Social sciences --- Economic man --- Intelligence, Computational --- Artificial intelligence --- Soft computing

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Economics --- Economics. --- Economic theory --- Political economy --- Social sciences --- Economic man