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As the accelerated technological advances of the past two decades continue to reshape the United States' economy, intangible assets and high-technology investments are taking larger roles. These developments have raised a number of concerns, such as: how do we measure intangible assets? Are we accurately appraising newer, high-technology capital? The answers to these questions have broad implications for the assessment of the economy's growth over the long term, for the pace of technological advancement in the economy, and for estimates of the nation's wealth. In Measuring Capital in the New Economy, Carol Corrado, John Haltiwanger, Daniel Sichel, and a host of distinguished collaborators offer new approaches for measuring capital in an economy that is increasingly dominated by high-technology capital and intangible assets. As the contributors show, high-tech capital and intangible assets affect the economy in ways that are notoriously difficult to appraise. In this detailed and thorough analysis of the problem and its solutions, the contributors study the nature of these relationships and provide guidance as to what factors should be included in calculations of different types of capital for economists, policymakers, and the financial and accounting communities alike.
As labor input in Japan shrinks with population aging, capital accumulation and productivity gains will drive growth over the medium-term. At the same time, a changing global landscape calls for a shift in export-oriented investment toward new markets and a new generation of products, as well as increased investment by domestically-oriented firms. What policies could be adopted to help firms adjust to the imperatives of the post-crisis global economy and boost medium-term growth? Using disaggregated data, this paper investigates the determinants of investment and R&D spending by Japanese firms. The results suggest that policies could usefully focus on four areas. First, raising the return on investment, including through reforms to the tax code. Second, decreasing uncertainty through improved risk management by firms and by bolstering the business climate. Third, improving SME access to finance, notably by encouraging venture capital investment in innovative areas and more risk-based lending. And fourth, reducing excess leverage and supporting corporate restructuring to enable new investments to flourish.
A cutting-edge graduate-level textbook on the macroeconomics of international trade Combining theoretical models and data in ways unimaginable just a few years ago, open economy macroeconomics has experienced enormous growth over the past several decades. This rigorous and self-contained textbook brings graduate students, scholars, and policymakers to the research frontier and provides the tools and context necessary for new research and policy proposals. Martín Uribe and Stephanie Schmitt-Grohé factor in the discipline's latest developments, including major theoretical advances in incorporating financial and nominal frictions into microfounded dynamic models of the open economy, the availability of macro- and microdata for emerging and developed countries, and a revolution in the tools available to simulate and estimate dynamic stochastic models. The authors begin with a canonical general equilibrium model of an open economy and then build levels of complexity through the coverage of important topics such as international business-cycle analysis, financial frictions as drivers and transmitters of business cycles and global crises, sovereign default, pecuniary externalities, involuntary unemployment, optimal macroprudential policy, and the role of nominal rigidities in shaping optimal exchange-rate policy. Based on courses taught at several universities, Open Economy Macroeconomics is an essential resource for students, researchers, and practitioners. Detailed exploration of international business-cycle analysis Coverage of financial frictions as drivers and transmitters of business cycles and global crises Extensive investigation of nominal rigidities and their role in shaping optimal exchange-rate policy Other topics include fixed exchange-rate regimes, involuntary unemployment, optimal macroprudential policy, and sovereign default and debt sustainability Chapters include exercises and replication codes
An advanced treatment of modern macroeconomics, presented through a sequence of dynamic equilibrium models, with discussion of the implications for monetary and fiscal policy. This textbook offers an advanced treatment of modern macroeconomics, presented through a sequence of dynamic general equilibrium models based on intertemporal optimization on the part of economic agents. The book treats macroeconomics as applied and policy-oriented general equilibrium analysis, examining a number of models, each of which is suitable for investigating specific issues but may be unsuitable for others. After presenting a brief survey of the evolution of macroeconomics and the key facts about long-run economic growth and aggregate fluctuations, the book introduces the main elements of the intertemporal approach through a series of two-period competitive general equilibrium models—the simplest possible intertemporal models. This sets the stage for the remainder of the book, which presents models of economic growth, aggregate fluctuations, and monetary and fiscal policy. The text focuses on a full analysis of a limited number of key intertemporal models, which are stripped down to essentials so that students can focus on the dynamic properties of the models. Exercises encourage students to try their hands at solving versions of the dynamic models that define modern macroeconomics. Appendixes review the main mathematical techniques needed to analyze optimizing dynamic macroeconomic models. The book is suitable for advanced undergraduate and graduate students who have some knowledge of economic theory and mathematics for economists.
May 2000 - Using the word capital to represent two different concepts is not such a problem when government is responsible for only a small fraction of national investment and is reasonably effective (as in the United States). But when government is a major investor and is ineffective, the gap between capital and cumulative, depreciated investment effort (CUDIE) may be enormous. A public sector steel mill may absorb billions as an investment, but if it cannot produce steel it has zero value as capital. The cost of public investment is not the value of public capital. Unlike for private investors, there is no remotely plausible behavioral model of the government as investor that suggests that every dollar the public sector spends as investment creates capital in an economic sense. This seemingly obvious point has so far been uniformly ignored in the voluminous empirical literature on economic growth, which uses, at best, cumulated, depreciated investment effort (CUDIE) to estimate capital stocks. But in developing countries especially, the difference between investment cumulated at cost and capital value is of primary empirical importance: government investment is half or more of total investment. And perhaps as much as half or more of government investment spending has not created equivalent capital. This suggests that nearly everything empirical written in three broad areas is misguided. First, none of the estimates of the impact of public spending identify the productivity of public capital. Even where public capital could be very productive, regressions and evaluations may suggest that public investment spending has little impact. Second, everything currently said about total factor productivity in developing countries is deeply suspect, as there is no way empirically to distinguish between low output (or growth) attributable to investments that created no factors and low output (or growth) attributable to low (or slow growth in) productivity in using accumulated factors. Third, multivariate growth regressions to date have not, in fact, controlled for the growth of capital stock, so spurious interpretations have emerged. This paper - a product of Poverty and Human Resources, Development Research Group - is part of a larger effort in the group to understand the importance of public sector actions for economic growth.
Investment strategies relate to an extensive range of aspects and have attracted the attention of investors and students, academics, researchers, financial executives, portfolio managers, security analysts, financial engineers, practitioners, including at the level of Nobel prizes (Tobin, 1981, for the analysis of financial markets; Markowitz, Sharpe, 1990, for modern portfolio models; Black, Scholes, Merton, 1997, for option pricing; Akerlof, Stiglitz, Spence, 2001, for markets with asymmetric information). Even common people talk daily about investments, investment tactics and strategies, and how to obtain success. In the absence of an investment philosophy, they try to copy celebrities or professional advisors without understanding the mechanics of markets, their core beliefs, strengths, or weaknesses. Beyond the traditional stocks and bonds, there are many other types of assets and alternative investments, and investors are overwhelmed by the huge number of portfolio architecture and management options. Regardless of the types of investors, portfolios are no longer a simple list of assets, and their management requires impressive skills. Decision models have significantly evolved from the Markowitz portfolio model toward capital market paradigms in the context of managing unrealistic assumptions or adding the treatment of market imperfections, multiperiod objectives, and transaction costs. The index of portfolio risk provides an intuitive image of diversification. There is an interest in the integration of new visions in investment strategies: determinism, complexity, nonlinearity, self-organization and chaos, trading rules, evolutionary games, real-options games and artificial markets, bounded rationality, heterogeneous agents, and behavioral investments. From the evolutionary perspective, investors interpret information by encoding and categorization, trying to simplify the strategies by using rules of thumb and heuristics. The present work contributes to the understanding of current investment processes by offering the tactical and strategic elements specific to global markets as well as emerging ones in a multilayer approach useful to decision-makers, investors, students, and researchers in the field.
This book presents an introduction to computational macroeconomics, using a new approach to the study of dynamic macroeconomic models. It solves a variety of models in discrete time numerically, using a Microsoft Excel spreadsheet as a computer tool. The solved models include dynamic macroeconomic models with rational expectations, both non-microfounded and microfounded, constituting a novel approach that facilitates the learning and use of dynamic general equilibrium models, which have now become the principal tool for macroeconomic analysis. Spreadsheets are widely known and relatively easy to use, meaning that the computer skills needed to work with dynamic general equilibrium models are affordable for undergraduate students in Advanced Macroeconomics courses.
The last twenty years have witnessed tremendous advances in the mathematical, statistical, and computational tools available to applied macroeconomists. This rapidly evolving field has redefined how researchers test models and validate theories. Yet until now there has been no textbook that unites the latest methods and bridges the divide between theoretical and applied work. Fabio Canova brings together dynamic equilibrium theory, data analysis, and advanced econometric and computational methods to provide the first comprehensive set of techniques for use by academic economists as well as professional macroeconomists in banking and finance, industry, and government. This graduate-level textbook is for readers knowledgeable in modern macroeconomic theory, econometrics, and computational programming using RATS, MATLAB, or Gauss. Inevitably a modern treatment of such a complex topic requires a quantitative perspective, a solid dynamic theory background, and the development of empirical and numerical methods--which is where Canova's book differs from typical graduate textbooks in macroeconomics and econometrics. Rather than list a series of estimators and their properties, Canova starts from a class of DSGE models, finds an approximate linear representation for the decision rules, and describes methods needed to estimate their parameters, examining their fit to the data. The book is complete with numerous examples and exercises. Today's economic analysts need a strong foundation in both theory and application. Methods for Applied Macroeconomic Research offers the essential tools for the next generation of macroeconomists.
This 1998 book presents the econometric analysis of single-equation and simultaneous-equation models in which the jointly dependent variables can be continuous, categorical, or truncated. Despite the traditional emphasis on continuous variables in econometrics, many of the economic variables encountered in practice are categorical (those for which a suitable category can be found but where no actual measurement exists) or truncated (those that can be observed only in certain range). Such variables are involved, for example, in models of occupational choice, choice of tenture in housing, and choice of type of schooling. Models with regulated prices and rationing and models for program evaluation also represent areas of application for the techniques presented by the author.
In Capital Accumulation and Income Distribution, economist Donald J. Harris offers a profound analysis of the forces shaping economic growth, capital accumulation, and income inequality within capitalist economies. Blending insights from Marxian and Keynesian economics, this pioneering work delves into the intricate relationships between investment, labor, and wealth distribution, highlighting the structural contradictions inherent in capitalist systems. Harris examines the driving factors behind capital accumulation and their implications for economic development, while providing a critical view of how profits, wages, and rents are distributed across social classes. Through a synthesis of classical economic theories, he explores the long-term dynamics of inequality and the cyclical patterns of capitalist economies. Ideal for scholars, students, and anyone interested in political economy, Capital Accumulation and Income Distribution offers a groundbreaking perspective on the economic challenges and imbalances that continue to shape our world today.