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Macroeconomic Policy in the Canadian Economy investigates developments in Canada over the last forty years, using recent advances in the field of applied econometrics. In particular, the book analyzes the theoretical foundations of public sector activities and evaluates the several theories of government growth. Issues of convergence are also investigated as they manifest themselves in per capita income across Canadian provinces, and as to how successful government income equalization policies have been in furthering such convergence. Moreover, the openness of the Canadian economy is investigated in terms of the importance of exports on GDP growth and of its participation in the world of an internationally integrated capital market. The book also analyzes monetary policy issues and investigates the role of monetary aggregates and the effectiveness of monetary policy. Finally, it addresses the issue of the existence or not of electoral and partisan cycles in Canada, by incorporating both fiscal and monetary principles and applying them to the lively world of Canadian politics.
This is the most comprehensive textbook available on the money demand function and its role in modern macroeconomics. The book takes a microeconomic- and aggregation-theoretic approach to the topic and presents empirical evidence using state-of-the-art econometric methodology, while recognizing the existence of unsolved problems and the need for further developments. The new edition is fully revised and includes new chapters.
The series International Symposia in Economic Theory and
Econometrics publishes quality proceedings of conferences and
symposia. Since all articles published in these volumes are
refereed relative to the standards of the best journals, not all
papers presented at the symposia are published in these proceedings
volumes. Occasionally these volumes include articles that were not
presented at a symposium or conference, but are of high quality and
are relevant to the focus of the volume. The topics chosen for
these volumes are those of particular research importance at the
time of the selection of the topic. Each volume has different
co-editors, chosen to have particular expertise relevant to the
focus of that particular volume.
The revised edition of this book captures new developments in economics and finance. Turning its focus towards the application of Engle's (1982) autoregressive conditional heteroscedasticity (ARCH) in cutting-edge research and a discussion of whether energy prices reflect long memory, this book will keep readers up-to-date with current developments in the literature. It presents twenty-one empirical studies of econometric time series analysis of crude oil, natural gas and electricity markets in face of the rapidly changing dynamics of the energy markets. Amongst them, several studies employ nonlinear time series methods, unlike the standard linear approach commonly used, to reflect the nonlinear nature of the economic system.Two new chapters are included, extending beyond the leading-edge research and innovative energy markets econometrics detailed in the first edition: Chapter 17 examines the effects of oil price changes and speculations on economic activity and Chapter 20 re-evaluates empirical evidence for random walk type behavior in energy futures prices using a statistical physics approach.
The relationship between the price of oil and the level of economic activity is a fundamental issue in macroeconomics. There is an ongoing debate in the literature about whether positive oil price shocks cause recessions in the United States (and other oil-importing countries), and although there exists a vast empirical literature that investigates the effects of oil price shocks, there are relatively few studies that investigate the direct effects of uncertainty about oil prices on the real economy. The book uses recent advances in macroeconomics and financial economics to investigate the effects of oil price shocks and uncertainty about the price of oil on the level of economic activity.
Interfuel substitution is an issue that is - and will likely remain - an important topic of inquiry for many years, as governments around the world seek to set policies that are intended to restrain carbon emissions or steer economies toward or away from certain fuels. This book contributes to this issue by estimating short- and long-term interfuel substitution elasticities, at the aggregate and sector levels, through the use of the latest advances in microeconometrics as well as recent international data for a number of OECD and non-OECD countries.
Bringing together leading-edge research and innovative energy markets econometrics, this book collects the author's most important recent contributions in energy economics. In particular, the book:* applies recent advances in the field of applied econometrics to investigate a number of issues regarding energy markets, including the theory of storage and the efficient markets hypothesis* presents the basic stylized facts on energy price movements using correlation analysis, causality tests, integration theory, cointegration theory, as well as recently developed procedures for testing for shared and codependent cycles* uses recent advances in the financial econometrics literature to model time-varying returns and volatility in energy prices and to test for causal relationships between energy prices and their volatilities* explores the functioning of electricity markets and applies conventional models of time series analysis to investigate a number of issues regarding wholesale power prices in the western North American markets* applies tools from statistics and dynamical systems theory to test for nonlinear dynamics and deterministic chaos in a number of North American hydrocarbon markets (those of ethane, propane, normal butane, iso-butane, naptha, crude oil, and natural gas)
Macroeconomic Policy in the Canadian Economy investigates developments in Canada over the last forty years, using recent advances in the field of applied econometrics. In particular, the book analyzes the theoretical foundations of public sector activities and evaluates the several theories of government growth. Issues of convergence are also investigated as they manifest themselves in per capita income across Canadian provinces, and as to how successful government income equalization policies have been in furthering such convergence. Moreover, the openness of the Canadian economy is investigated in terms of the importance of exports on GDP growth and of its participation in the world of an internationally integrated capital market. The book also analyzes monetary policy issues and investigates the role of monetary aggregates and the effectiveness of monetary policy. Finally, it addresses the issue of the existence or not of electoral and partisan cycles in Canada, by incorporating both fiscal and monetary principles and applying them to the lively world of Canadian politics.
This is the most comprehensive textbook available on the money demand function and its role in modern macroeconomics. The book takes a microeconomic- and aggregation-theoretic approach to the topic and presents empirical evidence using state-of-the-art econometric methodology, while recognizing the existence of unsolved problems and the need for further developments. The new edition is fully revised and includes new chapters.
A leading economist contends that the recent financial crisis was caused not by the failure of mainstream economics but by corrupted monetary data constructed without reference to economics. Blame for the recent financial crisis and subsequent recession has commonly been assigned to everyone from Wall Street firms to individual homeowners. It has been widely argued that the crisis and recession were caused by "greed" and the failure of mainstream economics. In Getting It Wrong, leading economist William Barnett argues instead that there was too little use of the relevant economics, especially from the literature on economic measurement. Barnett contends that as financial instruments became more complex, the simple-sum monetary aggregation formulas used by central banks, including the U.S. Federal Reserve, became obsolete. Instead, a major increase in public availability of best-practice data was needed. Households, firms, and governments, lacking the requisite information, incorrectly assessed systemic risk and significantly increased their leverage and risk-taking activities. Better financial data, Barnett argues, could have signaled the misperceptions and prevented the erroneous systemic-risk assessments. When extensive, best-practice information is not available from the central bank, increased regulation can constrain the adverse consequences of ill-informed decisions. Instead, there was deregulation. The result, Barnett argues, was a worst-case toxic mix: increasing complexity of financial instruments, inadequate and poor-quality data, and declining regulation. Following his accessible narrative of the deep causes of the crisis and the long history of private and public errors, Barnett provides technical appendixes, containing the mathematical analysis supporting his arguments.
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