business longitudinal database and business characteristics statistics

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Business Longitudinal Database and Business Characteristics Statistics How we got here (History) Where we are at (Current) and Where to from here (Future)

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Business Longitudinal Database and Business Characteristics Statistics. How we got here (History ) Where we are at (Current ) and Where to from here (Future). Over 10 years ago. Business Longitudinal Survey had been conducted in the mid-1990’s but cancelled in 1999 - PowerPoint PPT Presentation

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Page 1: Business Longitudinal Database and Business Characteristics Statistics

Business Longitudinal Database and Business Characteristics Statistics

How we got here (History)Where we are at (Current) andWhere to from here (Future)

Page 2: Business Longitudinal Database and Business Characteristics Statistics

Over 10 years ago

• Business Longitudinal Survey had been conducted in the mid-1990’s but cancelled in 1999

• Strong user demand for it to be reinstated

• Early planning for the Business Longitudinal Database initiated

Page 3: Business Longitudinal Database and Business Characteristics Statistics

Why a BLD?

• Analysts and policy advisors are interested in understanding:– The activities or factors that are relevant to business

performance and productivity– The business characteristics that are associated with

these activities or factors

• Micro level (unit record) analysis over time is the best method of getting this understanding

Page 4: Business Longitudinal Database and Business Characteristics Statistics

The BLD vision

• Small “dense” BLD• ~2,000 SME-sized businesses in each panel/wave

with a combination of directly collected and administrative data, i.e. complete data for all businesses in the panel with a new panel each year plus some flexibility in design

• Large “sparse” BLD• To be created using the ABS unit record data stores

for all directly collected (irrespective of which survey) and administrative data, i.e. ATO data for all businesses plus data from other ABS surveys in which a business may have been included

Page 5: Business Longitudinal Database and Business Characteristics Statistics

The BLD is born

• New policy proposal successful in 2005 budget but…………

• First panel/wave initiated for 2004-05 financial year

Page 6: Business Longitudinal Database and Business Characteristics Statistics

In the meantime…

• As part of developing the BLD, the ABS reviewed of all of its “characteristics” type collections

Page 7: Business Longitudinal Database and Business Characteristics Statistics

ABS “characteristics” data collections• Business Use of Information

Technology – annual since early 1990’s

• Innovation – a couple of collections in the 1990’s and reinstated in 2002

Page 8: Business Longitudinal Database and Business Characteristics Statistics

Integrated Business Characteristics Strategy• Bring together existing IT use and

innovation collections with the new BLD direct collection component

• Get efficiencies from linked samples, common instruments and business processes

• Integrated data• Reduction in provider load

Page 9: Business Longitudinal Database and Business Characteristics Statistics

Business Characteristics Survey introduced• Core characteristics content• Core IT use and innovation content• Alternating IT use and innovation

detail• Capacity for a user funded module • First integrated survey conducted in

2005-06

Page 10: Business Longitudinal Database and Business Characteristics Statistics

Small “dense” BLD

• A new panel/wave each year• Each panel/wave is in for five years• Design is pretty simple: industry

division by employment size (i.e.. The stratum)

• Aim to have 30 businesses still live in each stratum at the end of 5 years, overall ~ 2,000 businesses

Page 11: Business Longitudinal Database and Business Characteristics Statistics

BLD design

• 4 employment size groups• Non-employers*• 0-4 employees• 5-19 employees• 20 -199 employees

• 14** Industry Divisions • Dominated by businesses which operate in the market

sector of the economy

* Not for all industry divisions** Number is different dependent on version of ANZSIC

Page 12: Business Longitudinal Database and Business Characteristics Statistics

2004-05 2005-06 2006-07 2007-08 2008-09 2009-10 2010-11 2011-12 2012-13 2013-14 2014-15

Panel 2

Panel 1

Panel 3

Panel 4

Panel 5

Panel 6

BLD

BLD – simple-structured micro, small and medium businesses

ANZSIC 1993 based

ANZSIC 2006 based

Business Longitudinal Database Design

Page 13: Business Longitudinal Database and Business Characteristics Statistics

What is in the BLD?• Direct collection – range of characteristics

including: Employment Finances Working arrangements Performance monitoring Markets and completion Basic set of IT use and innovation indicators

• Financial Data from the ATO Business Activity Statement and Business Income Tax

• Trade data from Customs and Border Protection Service Value of goods imports and exports by basic commodity type

Page 14: Business Longitudinal Database and Business Characteristics Statistics

Outputs

Business Longitudinal Database– Confidentialised Unit Record File:

accessible through ABS website remote access data laboratory• 2 have been released

– Unconfidentialised Unit Record File: accessible to ABS employees only• Analytical papers

Page 15: Business Longitudinal Database and Business Characteristics Statistics

2004-05 2005-06 2006-07 2007-08 2008-09 2009-10 2010-11 2011-12 2012-13 2013-14 2014-15

Panel 2Panel 1

Panel 3Panel 4

Panel 5Panel 6

BLD

Top-up for complex* and large businesses plus additional sample for accuracy of estimates

*includes complex small and medium businesses

Innovation, IT use and other business characteristics point in tim

e estim

atesBusiness Characteristics – point in time estimates

Page 16: Business Longitudinal Database and Business Characteristics Statistics

Innovation, IT Use and other Business Characteristics Statistics• Key Innovation and IT use

indicators collected every year (enables annual innovation rate to be released)

• Detail collected every second year

Page 17: Business Longitudinal Database and Business Characteristics Statistics

Outputs

ABS publications Key indicators: annually IT use and Innovation: biennially

(alternating topics) Other characteristics: annually

(including most items cross-classified by innovator status)

Page 18: Business Longitudinal Database and Business Characteristics Statistics

What haven’t we done

• Purposive panels/waves • Module – user funded content• Include data in the BLD from other

administrative sources• Create the large “sparse” BLD

Page 19: Business Longitudinal Database and Business Characteristics Statistics

Analysis using BLD

• Analytical Services Branch • 1351.0.55.035 - Research Paper: Competition, Innovation and Productivity in

Australian Businesses, Sep 2011

• 1351.0.55.033 - Research Paper: Business Innovation and the Use of Information and Communications Technology, Mar 2011

• National Statistics Centre for Innovation and Technology

• Replicating Business Innovation and the Use of Information and Communications Technology

• Change in broadband connection speed and Productivity

Page 20: Business Longitudinal Database and Business Characteristics Statistics

Business Innovation & ICT

• Association between ICT usage and innovation

• Created and ICT Intensity Index based on ICT Sophistication

• Regression modelling (binary and ordered Probit modelling)

Page 21: Business Longitudinal Database and Business Characteristics Statistics

Results of Analysis

• Increased sophistication of ICT use

– business significantly more likely to innovate– Held true for the different types of innovation– Also for various ICT Intensity Indexes (5)– More novel innovations– Multiple types of innovation – Develop Innovations internally

Page 22: Business Longitudinal Database and Business Characteristics Statistics

More Information:

• Innovation and Technology Statistics

• David Taylor Assistant Director NSC, Innovation and Technology Statistics

• Andrew Puljic - Assistant Director, Business Characteristics• Helen Teasdale - Assistant Director, Research & Statistical

Support

[email protected][email protected][email protected]