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Macroeconomic Models in a Causal Framework

Standard macroeconomic models are represented in a wholly new causal manner using flowgraphs. This mode of analysis is unique to this book;

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Rethinking Macroeconomics with Endogenous Market Structure

interaction of industrial firms and the macroeconomy. This innovative new book develops a bottom-up, agent-based framework that shows how strategic;

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Macroeconomics

concerning the supply-side, growth and business cycles. In summary this is a macroeconomics textbook which provides a new framework for understanding;

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Macroeconomics

Macroeconomics: An Integrated Analytical Framework introduces students to key concepts and practices in modern economics by providing them;

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The Role of Mathematics in Evolutionary Theory

The central role of mathematical modeling in modern evolutionary theory has raised a concern as to why and how abstract formulae can say;

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Big Data in Omics and Imaging: Integrated Analysis and Causal Inference

association analysis and modern causation analysis Use combinatorial optimization methods and various causal models as a general framework;

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Big Data in Omics and Imaging: Integrated Analysis and Causal Inference

various causal models as a general framework for inferring multilevel omic and image causal networks Present statistical methods;

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Causality and Causal Modelling in the Social Sciences

modelling. It is argued that causal models are regimented by a rationale of variation, nor of regularity neither invariance, thus breaking down the;

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Experiments in Macroeconomics

variety of different macroeconomic models. Readers will come away with a better understanding of how to implement macroeconomic models in the;

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Agent-based Models and Causal Inference

an important tool in warranting causal claims. Manzo's book makes a convincing case that this is a mistake. The book starts by describing the;

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International Capital Mobility and External Account Determination

-Fleming models are critically evaluated against an extended international macroeconomic accounting framework. More meaningful capital theoretic;

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Interactive Macroeconomics

fails to provide an internal coherent framework, there is a need for an alternative theory. The book provides an innovative approach for the;

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Causal Models in Experimental Designs

This is a companion volume to Causal Models in the Social Sciences, the majority of articles concern panel designs involving repeated;

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Extreme Risk Management

Measurement, and Portfolio Management Using Causal Models Risk Fusion and Super Models: A Framework for Enterprise Risk Management Inferring Causality;

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Open-Economy Macroeconomics for Developing Countries

macroeconomic stability is a pre-requisite for sustained economic growth and the root of macroeconomic instability in developing countries lies in the;

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Open-Economy Macroeconomics for Developing Countries

macroeconomic stability is a pre-requisite for sustained economic growth and the root of macroeconomic instability in developing countries lies in the;

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Dynamic Econometrics For Empirical Macroeconomic Modelling

model; and finally, on a common framework for model-based economic forecasting.Supplementary materials and notes are available on the;

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Dynamic Econometrics For Empirical Macroeconomic Modelling

model; and finally, on a common framework for model-based economic forecasting.Supplementary materials and notes are available on the;

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Elements of Causal Inference

A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The;

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Causal Models in the Social Sciences

of the social scientist. This collection of articles is a course book on the causal modeling approach to theory construction and data analysis. H;

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Casual Models

fields have ushered in new insights about causal models by thinking about how to represent causal structure mathematically, in a framework that;

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Causal Analysis in Biomedicine and Epidemiology

Provides current models, tools, and examples for the formulation and evaluation of scientific hypotheses in causal terms. Introduces a new;

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Causal Analysis in Biomedicine and Epidemiology

Provides current models, tools, and examples for the formulation and evaluation of scientific hypotheses in causal terms. Introduces a new;

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Var Models in Macroeconomics - New Developments and Applications

Vector autoregressive (VAR) models are among the most widely used econometric tools in the fields of macroeconomics and financial economics;

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Linear Causal Modeling with Structural Equations

Emphasizing causation as a functional relationship between variables that describe objects, Linear Causal Modeling with Structural;

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Stabilization and Structural Adjustment

during the 1980's and within a common analytical framework.;

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Stabilization and Structural Adjustment

during the 1980's and within a common analytical framework.;

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