The pressure to produce explanations and forecasts and the economic dichotomies which insist on appearing, lead to a desire to deal with the description, analysis and forecast of the phenomenon of business cycles using economic indicators. This text provides an introduction to business cycles and their theoretical and historical basis. It also includes work on early indicator research and provides examples of business cycle indicators.
This volume presents the most complete collection available of the work of Victor Zarnowitz, a leader in the study of business cycles, growth, inflation, and forecasting.. With characteristic insight, Zarnowitz examines theories of the business cycle, including Keynesian and monetary theories and more recent rational expectation and real business cycle theories. He also measures trends and cycles in economic activity; evaluates the performance of leading indicators and their composite measures; surveys forecasting tools and performance of business and academic economists; discusses historical changes in the nature and sources of business cycles; and analyzes how successfully forecasting firms and economists predict such key economic variables as interest rates and inflation.
Policymakers and business practitioners are eager to gain access to reliable information on the state of the economy for timely decision making. More so now than ever. Traditional economic indicators have been criticized for delayed reporting, out-of-date methodology, and neglecting some aspects of the economy. Recent advances in economic theory, econometrics, and information technology have fueled research in building broader, more accurate, and higher-frequency economic indicators. This volume contains contributions from a group of prominent economists who address alternative economic indicators, including indicators in the financial market, indicators for business cycles, and indicators of economic uncertainty.
The inability of forecasters to predict accurately the 1990-1991 recession emphasizes the need for better ways for charting the course of the economy. In this volume, leading economists examine forecasting techniques developed over the past ten years, compare their performance to traditional econometric models, and discuss new methods for forecasting and time series analysis.
Developed fifty years ago by the National Bureau of Economic Research, the analytic methods of business cycles and economic indicators enable economists to forecast economic trends by examining the repetitive sequences that occur in business cycles. The methodology has proven to be an inexpensive and useful tool that is now used extensively throughout the world. In recent years, however, significant new developments have emerged in the field of business cycles and economic indicators. This volume contains twenty-two articles by international experts who are working with new and innovative approaches to indicator research. They cover advances in three broad areas of research: the use of new developments in economic theory and time-series analysis to rationalise existing systems of indicators; more appropriate methods to evaluate the forecasting records of leading indicators, particularly of turning point probability; and the development of new indicators.
Existing economic indicators and indexes assess economic activity but no single indicator measures the general macro-economic performance of a nation, state, or region in a methodologically simple and intuitive way. This paper proposes a simple, yet informative metric called the Economic Performance Index (EPI). The EPI represents a step toward clarity, by combining data on inflation, unemployment, government deficit, and GDP growth into a single indicator. In contrast to other indexes, the EPI does not use complicated mathematical procedures but was designed for simplicity, making it easier for professionals and laypeople alike to understand and apply to the economy. To maximize ease of understanding, we adopt a descriptive grading system. In addition to a Raw EPI that gives equal weights to its components, we construct a Weighted EPI and show that both indexes perform similarly for U.S. data. To demonstrate the validity of the EPI, we conduct a review of U.S. history from 1790 to 2012. We show that the EPI reflects the major events in U.S. history, including wars, periods of economic prosperity and booms, along with economic depressions, recessions, and even panics. Furthermore, the EPI not only captures official recessions over the past century but also allows for measuring and comparing their relative severity. Even though the EPI is simple by its construction, we show that its dynamics are similar to those of the Chicago Fed National Activity Index (CFNAI) and The Conference Board Coincident Economic Index® (CEI).
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.
This book investigates the South African business cycle and its links to structural change in the economy. Against the backdrop of the democratic transition in 1994 and the global financial crisis, the authors study how business cycles in South Africa have changed and how cycles are related to key developments in the financial markets, international trade and business sentiment in the country. By focusing on peaks and troughs in economic activity – so-called ‘turning-point cycles’ – the book links up with the common approach of international policymakers to studying fluctuations in economic activity. The authors also introduce new approaches to measuring phases of the business cycle (to understand slow recoveries after the global crisis), provide comprehensive descriptions to complement quantitative analyses, and utilize new data sources that allow the measurement of economic activity over longer periods. As such, the book provides the first integrated overview of business cycles in an emerging market, providing academics and policymakers with a better understanding of the measurement challenges and drivers of the cycle.
Traditionally, economic growth and business cycles have been treated independently. However, the dependence of GDP levels on its history of shocks, what economists refer to as “hysteresis,” argues for unifying the analysis of growth and cycles. In this paper, we review the recent empirical and theoretical literature that motivate this paradigm shift. The renewed interest in hysteresis has been sparked by the persistence of the Global Financial Crisis and fears of a slow recovery from the Covid-19 crisis. The findings of the recent literature have far-reaching conceptual and policy implications. In recessions, monetary and fiscal policies need to be more active to avoid the permanent scars of a downturn. And in good times, running a high-pressure economy could have permanent positive effects.
