PPT-Creating a collection of standardized datasets on household

Author : calandra-battersby | Published Date : 2017-10-02

Olivier Dupriez World Bank Development Data Group odupriezworldbankorg 6 June 2013 Initial objective Calculate poverty PPPs Had price data at basic heading level

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Creating a collection of standardized datasets on household: Transcript

Olivier Dupriez World Bank Development Data Group odupriezworldbankorg 6 June 2013 Initial objective Calculate poverty PPPs Had price data at basic heading level from the ICP needed consumption shares at the poverty line for the same breakdown to be used as weights. The household is viewed as two separate spheres the female and the male both linked by a public good and a conjugal contract through which spouses exchange resources The conjugal contract negotiated within the couple is partly in64258uenced by soc (. mis. )Usage and (. mis. )Interpretation?. Greg Ball. BSPS meeting 16 December 2013: Gregball@orangehome.co.uk. Projections and Planning. Planners mainly interested in change over time rather than future stock. Bob Garland. Why project households?. Can’t just rely on population. projections for long term planning for housing. Need some systematic view of future housing requirements that is consistent from each local authority upwards to England. Bhawani Mishra . Kamol. . Ngamsomsuke. Thomas G. . Johnson. 2. National level. Regional level. Community level. Market level. Individual level. Household level. Source: FAO. Food security studies can be done at the different . Judith J. Warren, PhD, RN, BC, FAAN, FACMI. Christine A. Hartley Centennial Professor. University of Kansas School of Nursing. Learning Objectives. Importance of Standardized Terminology in Healthcare Information Systems. DCLG . 2011-based projections. Tim Lyne, Experian. The DCLG household projections – . summary of the approach. What the . data . available . at . the time of producing the projections told us about household formation. Monday 16. th. December 2013. London School of Economics. Long term trend in household size. Census 2011 found . more. people but . fewer. . households than expected.. No fall in household size, despite ageing population. Pavlína Habartová, Klára Hulíková, Olga Sivková. Applied . D. emographic. . C. onference. ,. . San Antonio, TX, . January. 8-10, 2014. . Czech . Statistical. Office. Structure of the presentation. 5. th . - 9. th. December 2011, Rome. Manage the database . Import / export file. Import variable from another database / merge files. Restructure cases to variables. Merging datasets. For each level of investigation in a survey, there is typically a dataset. Understand the importance of using standardized recipes. Recognize the components in a standardized recipe. Realize the advantages of using standardized recipes. Learn how to make a standardized recipes. Jure Leskovec, . Anand. . Rajaraman. , Jeff Ullman . Stanford University. http://www.mmds.org . Note to other teachers and users of these . slides:. We . would be delighted if you found this our material useful in giving your own lectures. Feel free to use these slides verbatim, or to modify them to fit your own needs. Understand the importance of using standardized recipes. Recognize the components in a standardized recipe. Realize the advantages of using standardized recipes. Learn how to make a standardized recipes. Two of the most important inferences in working with juveniles are about their risks and their needs which influence many judicial decisions. When making inferences regarding risk, . Criminogenic ris Testing of this new process will have no effect on existing ILDR data requestshe FDIC is in consultation with other Federal and State regulatory agencies to determine if the standardized export of ima

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