Conversion factors : a discussion of alternate rates and corresponding weights
The significant operational implications underlying the Bank's estimates of per capita GNP, represent important considerations in systematizing the use of official rates in determining the exchange rate to be used in the Atlas methodology. This paper discusses issues and procedures to develop a time series of alternative conversion factors with corresponding weights for use in converting and presenting macro-level country statistics in a common unit of account, e.g. the U.S. dollar. The focus of the paper is on conversion factors that are representative of transaction or"effective"conversion factors. It also emphasizes the implications for Bank estimates of per capita, the kinds of evidence relevant in assessing the underlying conversion factors, and identifies countries where review of the official exchange rate merits serious consideration. The paper reviews the main concerns about the adequacy of the official exchange rate as a conversion factor.
Purchasing Power Parity and Black-Market Exchange Rates
This paper develops a theory of black-market exchange rate determination as a function of the market-clearing rate, the official rate and changes in official reserve levels. The model is tested for three countries over the period 1952–1971 by using purchasing-power-parity calculations as approximations of the equilibrium rate. The results indicate that relative rates of inflation are the dominant forces influencing equilibrium exchange rates.
Complexity, Network-Decisions And Alternative Risk Premia: Some New Theories Of Structural Change And Portfolio Decisions.
Structural Change is the basis for many decisions such as government fiscal and monetary policies, government interventions, corporate-expenditure decisions, corporate strategic decisions, portfolio management decisions in finance; household allocation decisions, etc.. Structural change in industries and national economies is increasingly more difficult to detect partly because of the growth and dominance of Complex Systems and “Networks” in modern industries and economies – such Networks and Complex Systems include GVCs (global value chains), retail store networks; franchising networks; internet networks; services networks; credit-chains in industries; online social networks; etc.. The relationship between Complexity and Structural Change is well established in the physics, applied math and economic dynamics literatures. Traditional definitions and modeling of structural change have erroneously focused on changes in labor, technological progress, market share, and or capital – which are grossly inadequate in the new economy and post- global financial crisis (as confirmed by changes in the global retailing and housing industries and other industries). Also the modeling of structural change seems to be constrained by the availability of data, and often omits the relationship between structural change on one hand, and globalization, financial stability and international financial contagion. This article: i) introduces the Operations Strategy Model of structural change, explains how it differs from the Lewis Model of Structural Change; and explains the often omitted relationship between operations strategy (of companies and government agencies) and structural change; ii) introduces other new Complexity-based models/theories of Structural Change in industries; iii) reviews the relationships among Operations Research, Complexity and Structural Change; iv) explains the symbiotic relationship between structural change on one hand, and economic growth, financial stability, financial contagion and globalization; v) discusses the significant gap between academic research and practice and explains some issues and factors that should be considered in the development and testing of structural change models; vi) explains how alternative risk premia can be generated from new models of Structural Change.