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The Demand for Money

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Cover of 'The Demand for Money'

Table of Contents

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    Book Overview
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    Chapter 1 Classical Macroeconomic Theory
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    Chapter 2 Keynesian Macroeconomic Theory
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    Chapter 3 Models with Rational Expectations
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    Chapter 4 Neoclassical Growth Theory
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    Chapter 5 Monetary Growth Theory
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    Chapter 6 The Welfare Cost of Inflation
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    Chapter 7 The Classics, Keynes, and Friedman
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    Chapter 8 Transactions Theories of Money Demand
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    Chapter 9 Portfolio Theories of Money Demand
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    Chapter 10 Conventional Demand for Money Functions
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    Chapter 11 Modeling Trends in the Variables of the Money Demand Function
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    Chapter 12 Cointegration and the Aggregate Demand for Money Function
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    Chapter 13 Balanced Growth, the Demand for Money, and Monetary Aggregation
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    Chapter 14 Cross-Country Evidence on the Demand for Money
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    Chapter 15 The Microeconomic Foundations of the Definition of Money
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    Chapter 16 The New Monetary Aggregates
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    Chapter 17 Nominal Stylized Facts
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    Chapter 18 The Nonparametric Approach to Demand Analysis
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    Chapter 19 The Parametric Approach to the Demand for Monetary Assets
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    Chapter 20 Locally Flexible Functional Forms and Demand Systems
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    Chapter 21 Globally Flexible Functional Forms and Demand Systems
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    Chapter 22 The Econometrics of Demand Systems
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    Chapter 23 Applied Monetary Demand Analysis
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    Chapter 24 Future Research Agenda
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Citations

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Title
The Demand for Money
Published by
Springer US, June 2007
DOI 10.1007/978-0-387-71727-2
ISBNs
978-0-387-71726-5, 978-0-387-71727-2
Authors

Serletis, Apostolos

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 3%
Germany 1 3%
Unknown 38 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 20%
Student > Master 6 15%
Student > Bachelor 3 8%
Lecturer 3 8%
Student > Doctoral Student 2 5%
Other 6 15%
Unknown 12 30%
Readers by discipline Count As %
Economics, Econometrics and Finance 22 55%
Mathematics 2 5%
Social Sciences 2 5%
Business, Management and Accounting 1 3%
Unspecified 1 3%
Other 0 0%
Unknown 12 30%