Advanced Economic Theory: Classical Foundations, Modern Analysis, and Policy Applications
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Sprache:Englisch
8,99 €
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Produktdetails
Format
ePUB
Kopierschutz
Ja
Family Sharing
Ja
Text-to-Speech
Ja
Erscheinungsdatum
25.07.2026
Verlag
Om KrishnaSeitenzahl
(Printausgabe)
Dateigröße
13341 KB
Sprache
Englisch
EAN
9798233722219
What's New in the Second Edition (25 July 2026)
Advanced Economic Theory: Classical Foundations, Modern Analysis, and Policy Applications is a comprehensive and rigorously structured treatise designed for advanced students, researchers, civil service aspirants, and academic professionals seeking deep conceptual clarity and mathematical precision in economics. This book bridges the intellectual evolution of economic thought with contemporary analytical tools, offering an integrated framework that connects microeconomics, macroeconomics, mathematical economics, and econometrics into a coherent academic structure.
Beginning with the philosophical foundations and methodological debates in economics, the book revisits classical, neoclassical, Keynesian, and modern schools of thought, situating them within present-day policy realities. It systematically develops consumer theory, production theory, cost structures, market forms, welfare economics, and general equilibrium analysis using calculus-based derivations and graphical illustrations.
The microeconomic section moves beyond textbook exposition by incorporating constrained optimization techniques, Lagrangian methods, duality theory, elasticity analysis, and advanced market structures, including monopoly, oligopoly, and game-theoretic frameworks. Mathematical proofs and logical derivations strengthen understanding while maintaining accessibility for serious learners.
In macroeconomics, the book develops income determination models from classical to Keynesian systems, the ISLM framework, monetary transmission mechanisms, inflation dynamics, growth models, and open-economy macroeconomics. Analytical tools are applied to fiscal and monetary policy effectiveness, public debt sustainability, and structural transformation.
A distinctive feature of this work is its seamless transition into mathematical economics and econometric reasoning. Functions, optimization, comparative statics, matrix algebra, and dynamic systems are introduced as essential tools for economic modeling. The econometrics-oriented chapters connect theory with empirical validation, emphasizing regression analysis, hypothesis testing, and model interpretation, thus equipping readers to move from theoretical abstraction to measurable economic reality.
Second Edition
What's New in the Second Edition (25 July 2026)
This revised and expanded Second Edition includes four new chapters:
- Chapter 4: Advanced Mathematical Economics Advanced mathematical tools, optimization techniques, comparative statics, dynamic analysis, linear and non-linear programming, KuhnTucker conditions, and fixed-point methods.
- Chapter 9: Duality Theory in Consumer EconomicsUtility maximization, expenditure minimization, Marshallian and Hicksian demand, indirect utility and expenditure functions, Roy's identity, Shephard's lemma, and the Slutsky equation, with mathematical derivations and diagrams.
- Chapter 33: Computational and Digital EconomicsComputational economics, AI, big data, machine learning, digital platforms, network economics, cryptocurrency, blockchain, and digital public infrastructure.
- Chapter 34: Environmental and Climate Economics Covers climate change economics, carbon taxation, emission trading, Green GDP, sustainable development, circular economy, biodiversity economics, ESG framework, and costbenefit analysis.
- Chapter 35: Financial Economics and Asset Markets Introduces the time value of money, portfolio theory, CAPM, APT, efficient market hypothesis, financial risk, behavioral finance, and mathematical derivations with diagrams.
- Computational Economics and Software ApplicationsPresents the application of R, Python, MATLAB, Stata, and EViews for economic data analysis, econometric modeling, forecasting, and computational research.
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