Copyright 2010, The World Bank Group. All Rights Reserved. Business tendency surveys, part 2 1 Business statistics and registers.

Slides:



Advertisements
Similar presentations
Sampling: Theory and Methods
Advertisements

Annual growth rates derived from short term statistics and annual business statistics Dr. Pieter A. Vlag, Dr. K. van Bemmel Department of Business Statistics,
Innovation data collection: Methodological procedures & basic forms Regional Workshop on Science, Technology and Innovation (STI) Indicators.
Innovation data collection: Advice from the Oslo Manual South East Asian Regional Workshop on Science, Technology and Innovation Statistics.
Innovation Surveys: Advice from the Oslo Manual South Asian Regional Workshop on Science, Technology and Innovation Statistics Kathmandu,
Innovation Surveys: Advice from the Oslo Manual National training workshop Amman, Jordan October 2010.
Paul Smith Office for National Statistics
Sampling Methods.
Sampling Strategy for Establishment Surveys International Workshop on Industrial Statistics Beijing, China, 8-10 July 2013.
Chapter 1 Getting Started Understandable Statistics Ninth Edition
Enhancing Data Quality of Distributive Trade Statistics Workshop for African countries on the Implementation of International Recommendations for Distributive.
Potential Uses of Social Surveys n objective info. re. how many of what type of people/activities are located in various places n behavioral information/from.
Who and How And How to Mess It up
Sampling.
Aaker, Kumar, Day Ninth Edition Instructor’s Presentation Slides
Copyright © 2014 by McGraw-Hill Higher Education. All rights reserved. Essentials of Business Statistics: Communicating with Numbers By Sanjiv Jaggia and.
Statistical Treatment of Data Significant Figures : number of digits know with certainty + the first in doubt. Rounding off: use the same number of significant.
Sampling Methods.
FINAL REPORT: OUTLINE & OVERVIEW OF SURVEY ERRORS
Chapter 2 – Experimental Design and Data Collection Math 22 Introductory Statistics.
Social Research Methods
Key terms in Sampling Sample: A fraction or portion of the population of interest e.g. consumers, brands, companies, products, etc Population: All the.
Sampling : Error and bias. Sampling definitions  Sampling universe  Sampling frame  Sampling unit  Basic sampling unit or elementary unit  Sampling.
McGraw-Hill/Irwin McGraw-Hill/Irwin Copyright © 2009 by The McGraw-Hill Companies, Inc. All rights reserved.
C M Clarke-Hill1 Collecting Quantitative Data Samples Surveys Pitfalls etc... Research Methods.
MGT-491 QUANTITATIVE ANALYSIS AND RESEARCH FOR MANAGEMENT OSMAN BIN SAIF Session 13.
Sampling: Theory and Methods
Use of survey (LFS) to evaluate the quality of census final data Expert Group Meeting on Censuses Using Registers Geneva, May 2012 Jari Nieminen.
Quantitative Research 1: Sampling and Surveys Dr N L Reynolds.
Chapter Nine Copyright © 2006 McGraw-Hill/Irwin Sampling: Theory, Designs and Issues in Marketing Research.
Multiple Indicator Cluster Surveys Survey Design Workshop Sampling: Overview MICS Survey Design Workshop.
Instructor Resource Chapter 5 Copyright © Scott B. Patten, Permission granted for classroom use with Epidemiology for Canadian Students: Principles,
Copyright 2010, The World Bank Group. All Rights Reserved. Managing processes Core business of the NSO Part 2 Strengthening Statistics Produced in Collaboration.
Data Collection and Sampling
Scot Exec Course Nov/Dec 04 Survey design overview Gillian Raab Professor of Applied Statistics Napier University.
Copyright 2010, The World Bank Group. All Rights Reserved. Business tendency surveys, part 1 1 Business statistics and registers.
Survey Design and Data Collection Most Of the Error In Surveys Comes From Poorly Designed Questionnaires And Sloppy Data Collection Procedures.
Planning an Applied Research Project Chapter 8 – Sampling Issues in Research © 2014 John Wiley & Sons, Inc. All rights reserved.
© 2013 Cengage Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part.
Sampling Design and Analysis MTH 494 LECTURE-12 Ossam Chohan Assistant Professor CIIT Abbottabad.
Lecture 4. Sampling is the process of selecting a small number of elements from a larger defined target group of elements such that the information gathered.
Tahir Mahmood Lecturer Department of Statistics. Outlines: E xplain the role of sampling in the research process D istinguish between probability and.
Sampling Techniques 19 th and 20 th. Learning Outcomes Students should be able to design the source, the type and the technique of collecting data.
Compilation of Distributive Trade Statistics in African Countries Workshop for African countries on the implementation of International Recommendations.
Understanding Sampling
Learning Objectives Explain the role of sampling in the research process Distinguish between probability and nonprobability sampling Understand the factors.
Copyright © 2011 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Chapter 7 Sampling and Sampling Distributions.
MARKETING RESEARCH CHAPTERS 7: Descriptive Research Design: Survey and Observation 8 Experimentation.
Sampling Sources: -EPIET Introductory course, Thomas Grein, Denis Coulombier, Philippe Sudre, Mike Catchpole -IDEA Brigitte Helynck, Philippe Malfait,
7: Sampling Theory and Methods. 7-2 Copyright © 2008 by the McGraw-Hill Companies, Inc. All rights reserved. Hair/Wolfinbarger/Ortinau/Bush, Essentials.
Sampling Great Marlow School Mathematics Department.
Copyright 2010, The World Bank Group. All Rights Reserved. Testing and Documentation Part II.
McGraw-Hill/Irwin © 2004 by The McGraw-Hill Companies, Inc. All rights reserved. Chapter 3 Designing the Sample.
Chapter 10 Sampling: Theories, Designs and Plans.
1 Data Collection and Sampling Chapter Methods of Collecting Data The reliability and accuracy of the data affect the validity of the results.
1-1 Copyright © 2014, 2011, and 2008 Pearson Education, Inc.
Sampling technique  It is a procedure where we select a group of subjects (a sample) for study from a larger group (a population)
Errors in Sampling Objective: to identify the types of nonsampling errors.
Chapter 12 Vocabulary. Matching: any attempt to force a sample to resemble specified attributed of the population Population Parameter: a numerically.
1 Data Collection and Sampling ST Methods of Collecting Data The reliability and accuracy of the data affect the validity of the results of a statistical.
Main results of the Break-out session on Tendency Surveys Gian Paolo Oneto Istat.
Topics Semester I Descriptive statistics Time series Semester II Sampling Statistical Inference: Estimation, Hypothesis testing Relationships, casual models.
Types of method Quantitative: – Questionnaires – Experimental designs Qualitative: – Interviews – Focus groups – Observation Triangulation.
Slide 7.1 Saunders, Lewis and Thornhill, Research Methods for Business Students, 5 th Edition, © Mark Saunders, Philip Lewis and Adrian Thornhill 2009.
SAMPLING. The Best Approach: Avoid sampling (studying everybody)
Biostatistics Dr. Amjad El-Shanti MD, PMH,Dr PH University of Palestine 2016.
Copyright 2010, The World Bank Group. All Rights Reserved. Producer prices, part 2 Measurement issues Business Statistics and Registers 1.
Training course to enhance collection of fisheries and aquaculture statistics Module 5 – Obtaining SSF and aquaculture statistics through a household.
Week Three Review.
Sampling and estimation
Presentation transcript:

Copyright 2010, The World Bank Group. All Rights Reserved. Business tendency surveys, part 2 1 Business statistics and registers

Copyright 2010, The World Bank Group. All Rights Reserved. Survey frame BTS carried out by trade associations use their membership list as the survey frame The international recommendation for BTS is to use comprehensive business registers that are also used for other business surveys A reasonably comprehensive business register is a prerequisite for good business tendency surveys 2

Copyright 2010, The World Bank Group. All Rights Reserved. Choice of statistical units Many enterprises cannot provide information for their establishments Some enterprises can report for their local units Others can report for their kind of activity units The choice of reporting unit can influence survey results Basing a survey on establishment units is the best solution 3

Copyright 2010, The World Bank Group. All Rights Reserved. Sample design Three methods: 1.Data collection from all enterprises 2.Judgmental sample 3.Random sample 4

Copyright 2010, The World Bank Group. All Rights Reserved. Panels Original panel based on stratified random sample Using a panel reduces sample variance Using a panel has also practical advantages Panel must be periodically refreshed, e.g. by changing 25% of enterprises each quarter 5

Copyright 2010, The World Bank Group. All Rights Reserved. Sample size With random sampling the sample size depends on the variance of one or two key variables and on the desired level of precision Experience shows that often about 30 reporting units are sufficient to obtain an acceptable level of precision for each strata for which data are to be published 6

Copyright 2010, The World Bank Group. All Rights Reserved. Response management Keep in touch with respondents Personal contacts enhance response rates Helping respondents understand questions Contacts with respondents may help to improve the questionnaire 7

Copyright 2010, The World Bank Group. All Rights Reserved. Quality of surveys Quality elements include reliability, timeliness, comparability, transparency and accessibility BTS are normally timely because questionnaires can easily be completed and the number of questions is small Use of harmonized questionnaires enhances comparability over time and between countries 8

Copyright 2010, The World Bank Group. All Rights Reserved. Measurement error Measurement errors are generated by questionnaires and respondents Errors caused by questionnaires relate to:  ambiguous phrasing of questions  unclear layout of questionnaire Errors stemming from respondents may be caused by:  insufficient knowledge to answer correctly  lack of motivation to report correctly 9

Copyright 2010, The World Bank Group. All Rights Reserved. From percentages to single number Results obtained must be presented as a time series Multiple percentages are difficult to interpret Therefore, results are normally presented as a single number Two methods: 1.Balances 2.Diffusion indices 10

Copyright 2010, The World Bank Group. All Rights Reserved. Balances method In most BTS respondents have three reply options: up/above normal (+), same/normal (=) and down/below normal (-) (=) replies are often discarded, but may be presented separately To calculate the balance, first transform replies into percentages Then subtract (-) from (+) to calculate the balance 11

Copyright 2010, The World Bank Group. All Rights Reserved. Diffusion indices Balances (B) are calculated as: B = 100 ( P – N ) Diffusion indices (DI) are calculated as 100 ( P + E/2 ), where P is the fraction of (+) replies in the total, N of (-) replies, and E of (=) Balances can take values from –100 to +100, diffusion indices from 0 to 100. Balances and diffusion indices have exactly the same information content Balances are more commonly used 12

Copyright 2010, The World Bank Group. All Rights Reserved. Weighting Two types of weighting: 1.Sample weights 2.Size weights Sample weights are the inverse of the probability of selection Size weights reflect the relative contribution of enterprises Value added is probably the best size weight In practice, number of employees is more often used 13

Copyright 2010, The World Bank Group. All Rights Reserved. Publication As for all statistics, metadata must be presented for BTS surveys as well Metadata must cover information about: The sampling frame Statistical units Sampling Weighting Data collection methods Treatment of non-response Precision Comparability 14

Copyright 2010, The World Bank Group. All Rights Reserved. Interpretation Because BTS are subjective, respondents may interpret questions differently Issues of different interpretation are:  What is ‘normal’?  What reference period to use  How to judge ‘capacity utilization’?  Expected ‘business situation’ Systematic bias is also possible Experience shows that most of these factors do not seriously distort BTS results 15