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There is probably no concept other than saving for which U.S. official agencies issue annual estimates that differ by more than a third, as they have done for net household saving, or for which reputable scholars claim that the correct measure is close to ten times the officially published one. Yet despite agreement among economists and policymakers on the importance of this measure, huge inconsistencies persist. Contributors to this volume investigate ways to improve aggregate and sectoral saving and investment estimates and analyze microdata from recent household wealth surveys. They provide analyses of National Income and Product Account (NIPA) and Flow-of-Funds measures and of saving and survey-based wealth estimates. Conceptual and methodological questions are discussed regarding long-term trends in the U.S. wealth inequality, age-wealth profiles, pensions and wealth distribution, and biases in inferences about life-cycle changes in saving and wealth. Some new assessments are offered for investment in human and nonhuman capital, the government contribution to national wealth, NIPA personal and corporate saving, and banking imputation.
This volume, second in the series, provides essential background material for policy analysts, researchers, statisticians, and others interested in the application of microsimulation techniques to develop estimates of the costs and population impacts of proposed changes in government policies ranging from welfare to retirement income to health care to taxes. The material spans data inputs to models, design and computer implementation of models, validation of model outputs, and model documentation.
`The book is an excellent example of the application of modern econometric techniques to Chinese data, some of which was especially collected for the research. The results throw new light on aspects of industrial sector reform in China. The book deserves wide attention from those interested in the economic reforms in China, especially those interested in the implications of the reforms for industrial sector efficiency and productivity growth.' - Christopher Findlay, University of Adelaide As the rural township, village and private enterprises are becoming more and more significant in the Chinese economy, this book focuses on the comparison of the rural (non-state) and state firms in terms of performance. The analysis is based on the empirical results from estimating various production functions applied to cross-section and panel data. Both aggregate and firm-specific efficiencies are examined in the case studies, exploring potential sources of efficiency differentials such as ownership, scale, factor intensity, location and economic reforms. Special attention is also paid to the regional comparison of industrial development and performance. The implications of the findings in the book for economic and reform policy are thus highlighted.