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In this paper, we relate the scope and depth of regulatory reforms to growth outcomes in OECD countries. By means of a new set of quantitative indicators of regulation, we show that the cross-country variation of regulatory settings has increased in recent years, despite extensive liberalisation and privatisation in the OECD area. We then look at the regulation-growth linkage using data that cover a large set of manufacturing and service industries over the past two decades. We focus on multifactor productivity (MFP), which plays a crucial role in GDP growth and accounts for a significant share of its cross-country variance. We find evidence that reforms promoting private governance and competition (where these are viable) tend to boost productivity. Both privatisation and entry liberalisation are estimated to have a positive impact on productivity. In manufacturing the gains are greater the further a given country is from the technology leader, suggesting that regulation limiting ...
This book explores trends in health care outcomes and spending; ways of assessing efficiency; new indicators of health care policies and institutions; and the characteristics and performance of health care systems.
This report investigates how tax structures can best be designed to support GDP per capita growth.
This book addresses the rising productivity gap between the global frontier and other firms, and identifies a number of structural impediments constraining business start-ups, knowledge diffusion and resource allocation (such as barriers to up-scaling and relatively high rates of skill mismatch).
A guide for constructing and using composite indicators for policy makers, academics, the media and other interested parties. In particular, this handbook is concerned with indicators which compare and rank country performance.
Orthodox economics operates within a hypothesized world of perfect competition in which perfect consumers and firms act to bring about supposedly optimal outcomes. The discrepancies between this model and the reality it claims to address are then attributed to particular imperfections in reality itself. Most heterodox economists seize on this fact and insist that the world is characterized by imperfect competition. But this only ties them to the notion of perfect competition, which remains as their point of departure and base of comparison. There is no imperfection without perfection. In Capitalism, Anwar Shaikh takes a different approach. He demonstrates that most of the central propositions of economic analysis can be derived without any reference to standard devices such as hyperrationality, optimization, perfect competition, perfect information, representative agents, or so-called rational expectations. This perspective allows him to look afresh at virtually all the elements of economic analysis: the laws of demand and supply, the determination of wage and profit rates, technological change, relative prices, interest rates, bond and equity prices, exchange rates, terms and balance of trade, growth, unemployment, inflation, and long booms culminating in recurrent general crises. In every case, Shaikh's innovative theory is applied to modern empirical patterns and contrasted with neoclassical, Keynesian, and Post-Keynesian approaches to the same issues. Shaikh's object of analysis is the economics of capitalism, and he explores the subject in this expansive light. This is how the classical economists, as well as Keynes and Kalecki, approached the issue. Anyone interested in capitalism and economics in general can gain a wealth of knowledge from this ground-breaking text.
This SPR Departmental Paper will provide policymakers with a framework for studying changes to national data policy frameworks.
This book presents new data to give an overview of shadow economies from OECD countries and propose solutions to prevent illicit work.
A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.
Seventeen in a series of annual reports comparing business regulation in 190 economies, Doing Business 2020 measures aspects of regulation affecting 10 areas of everyday business activity.