Revised Guidance for the Economic Evaluation of DoD Data Processing Systems

Revised Guidance for the Economic Evaluation of DoD Data Processing Systems

Author:

Publisher:

Published: 1990

Total Pages: 232

ISBN-13:

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Virtually every aspect of national defense involves computer support. Automation extents to logistics; financial management and administration; health care delivery; command, control, and communications; intelligence; tactical operations; and weapon systems. Because automation requires scarce time and resources, you must understand the available alternatives and their costs and benefits. Economic analysis gives you the tools you need to evaluate and compare the alternatives. Appendix E of this study gives you revised routines for doing an economic analysis. This guidance assumes that you are a novice in the field of economic analysis. Thus, the guidance develops material slowly, from a few very basic economic and common sense principles. While you can easily apply these techniques to many investment problems, this study limits the guidance to the economic problem of choice within the ADP arena.


Economic Analysis for ADP.

Economic Analysis for ADP.

Author: Phillip J. Gardner

Publisher:

Published: 1984

Total Pages: 69

ISBN-13:

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This thesis was produced for the Naval Data Automation Command to help increase field analysts' capabilities to produce quality economic analyses. The field analyst is introduced to both concepts and methodology. It is tailored to the field analyst's background. Both economic analysis and budgeting are covered. Originator supplied keywords include: EA; Economic analysis; ADP.


Big Data for Twenty-First-Century Economic Statistics

Big Data for Twenty-First-Century Economic Statistics

Author: Katharine G. Abraham

Publisher: University of Chicago Press

Published: 2022-03-11

Total Pages: 502

ISBN-13: 022680125X

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Introduction.Big data for twenty-first-century economic statistics: the future is now /Katharine G. Abraham, Ron S. Jarmin, Brian C. Moyer, and Matthew D. Shapiro --Toward comprehensive use of big data in economic statistics.Reengineering key national economic indicators /Gabriel Ehrlich, John Haltiwanger, Ron S. Jarmin, David Johnson, and Matthew D. Shapiro ;Big data in the US consumer price index: experiences and plans /Crystal G. Konny, Brendan K. Williams, and David M. Friedman ;Improving retail trade data products using alternative data sources /Rebecca J. Hutchinson ;From transaction data to economic statistics: constructing real-time, high-frequency, geographic measures of consumer spending /Aditya Aladangady, Shifrah Aron-Dine, Wendy Dunn, Laura Feiveson, Paul Lengermann, and Claudia Sahm ;Improving the accuracy of economic measurement with multiple data sources: the case of payroll employment data /Tomaz Cajner, Leland D. Crane, Ryan A. Decker, Adrian Hamins-Puertolas, and Christopher Kurz --Uses of big data for classification.Transforming naturally occurring text data into economic statistics: the case of online job vacancy postings /Arthur Turrell, Bradley Speigner, Jyldyz Djumalieva, David Copple, and James Thurgood ;Automating response evaluation for franchising questions on the 2017 economic census /Joseph Staudt, Yifang Wei, Lisa Singh, Shawn Klimek, J. Bradford Jensen, and Andrew Baer ;Using public data to generate industrial classification codes /John Cuffe, Sudip Bhattacharjee, Ugochukwu Etudo, Justin C. Smith, Nevada Basdeo, Nathaniel Burbank, and Shawn R. Roberts --Uses of big data for sectoral measurement.Nowcasting the local economy: using Yelp data to measure economic activity /Edward L. Glaeser, Hyunjin Kim, and Michael Luca ;Unit values for import and export price indexes: a proof of concept /Don A. Fast and Susan E. Fleck ;Quantifying productivity growth in the delivery of important episodes of care within the Medicare program using insurance claims and administrative data /John A. Romley, Abe Dunn, Dana Goldman, and Neeraj Sood ;Valuing housing services in the era of big data: a user cost approach leveraging Zillow microdata /Marina Gindelsky, Jeremy G. Moulton, and Scott A. Wentland --Methodological challenges and advances.Off to the races: a comparison of machine learning and alternative data for predicting economic indicators /Jeffrey C. Chen, Abe Dunn, Kyle Hood, Alexander Driessen, and Andrea Batch ;A machine learning analysis of seasonal and cyclical sales in weekly scanner data /Rishab Guha and Serena Ng ;Estimating the benefits of new products /W. Erwin Diewert and Robert C. Feenstra.


Guidelines for the Economic Analysis of Projects

Guidelines for the Economic Analysis of Projects

Author: Asian Development Bank

Publisher: Asian Development Bank

Published: 2017-03-01

Total Pages: 175

ISBN-13: 9292577646

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Project economic analysis is a tool used by the Asian Development Bank (ADB) to ensure that ADB operations comply with its Charter. The guidelines in this publication are a revised version of the 1997 edition. The revision responds to the changing development context and ADB operational priorities, and aims to address the recommendations of the ADB Quality-at-Entry Assessments for more methodological work on project economic analysis. The revised guidelines provide general principles for the conduct of project economic analysis, and should be read together with handbooks, technical reports, and other reference materials published by ADB dealing with sector-specific project economic analysis in detail.