Time Distance in Economics and Statistics.: New Insights from Existing Data. WISDOM-Schriftenreihe Bd. # 18 - Hardcover
Synopsis
„The usual metrics for comparing two lines involves differences along the vertical axis. This can be a poor way of measuring how these trends vary in terms of time, which is on the horizontal axis.“ … „Sicherl's several works have presented a non-technical discussion of the theory of time-distance.“ … „Observed time distance is a dynamic measure of temporal disparity between the two series, intuitively clear, readily measurable, and in transparent units which are comparable across a pairing of indicators and indicated variables. It is suggested that one should complement conventional vertical measures with horizontal measures.“ (Granger and Jeon 1997) C.W.J. Granger / Y. Jeon, University of California at San Diego „Time distance is a generic concept. That means that, as it has been the case e.g. with spreadsheet, one cannot in advance specify all the uses to which a generic framework can be put by imaginative users in numerous fields.“ J. Backhouse, Information Science Department, London School of Economics Time distance is an innovative approach for looking at time-series data. It uses two generic statistical measures S-time-distance and S-time-step to complement existing methods. Expressed in time units are easy to understand by policymakers, professionals, managers, media and the general public; they can be compared across variables, fields of concern, and units of comparison. The broader conceptual and analytical framework defines the concept of the ‘overall degree of disparity’ combinating static and time distance measures of disparity with the potential to bring new understanding in economics, management, research and statistics. Empirical applications deal with the overview of time distance disparities in the world, OECD countries, selected EU countries, regional disparities, transition depression in historical perspective, ICT and digital divide, and monitoring implementation of UN Millennium Development Goals and Lisbon strategy in the EU.
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Time Distance in Economics and Statistics: New Insights from Existing Data (Series: Complexity Design Society, Vol. 18)
Seller: killarneybooks, Inagh, CLARE, Ireland
Seller rating 5 out of 5 stars
Hardcover. Condition: Near Fine. 1st Edition. Scarce hardcover, 444 pages, NOT ex-library. Minor handling wear, book is clean and bright with unmarked text, free of inscriptions and stamps, firmly bound. Issued without a dust jacket. Weight 940g. -- Contents: Part I Theory and Methodology 1. An Overview: Basic Concepts and Examples of Applications 2. Time Distance Concept, Definitions and Estimation 3. Types of Analysis 4. Time Distance Discrepancy Between Actual and Estimated Values and in Monitoring Implementation of Plans, Targets and Budgets 5. A New Perspective on Convergence and Divergence, and on Typologies for Development Indicators; Part II Benefits, Policy and Welfare Issues 6. Inter-Temporal Aspect of Well-Being and Societal Progress 7. Benefits from Using Time Distance Analysis; Part III Applications in Socio-Economic Development 8. Disparities in the World in the Time Distance Perspective 9. 50 Years of OECD Countries 10. Central and South Eastern Europe 11. Time Distance View of Regional Disparities in Austria 12. Efficiency and Regional Development Distances: Lessons from the Former Yugoslavia 13. Transition Economies in Historical Perspective; Part IV New Perspectives on the Digital Divide 14. Sectoral Time-Distances in the Adoption of E-commerce Activity 15. ICT and Digital Divide Measured by Time Distance; Part V Monitoring Implementation of UN MDG and Lisbon Targets 16. Monitoring Implementation of UN Millennium Development Goals 17. Monitoring Implementation of Lisbon Strategy and Sustainable Development 18. Benchmarking and Monitoring in the Time Dimension: Example for Infant Mortality Rate for Many Countries and for World Regions; Part VI Conclusions; Annex; Bibliography; Index. Seller Inventory # 008468