architecture-australia-bridge-783682.jpg

Program

Day 1 - Monday 19 August 2019

Registration Opens

08:00

09:00-17:00

Workshop 1

Presenter: Prof. Bob Breunig

Crawford School of Business, Australian National University

Robert Breunig is the director of the Tax and Transfer Policy Institute at the Crawford School of Public Policy. From 2015 to 2016 he was the Director of the Crawford School of Public Policy.

Professor Breunig is one of Australia’s leading Public Policy Economists. He has published in over 50 international academic journals in economics and public policy. Professor Breunig has made significant policy impact through a number of his research projects: the relationship between child care and women’s labour supply; the effect of immigration to Australia on the labour market prospects of Australians; the effect of switching to cash from food stamps in the U.S. food stamp program and the inter-generational transmition of disadvantage.

Click here to read more.


Using Panel Data in Stata

  1. Setting up the data

  2. Descriptive statistics with panel data

  3. Regression methods w/ panel data

    a.       Pooled OLS

    b.       First differences

    c.       Second (+higher) differences

    d.       Fixed Effects

    e.       Random Effects

  4. Advanced panel techniques

    a.       Hausman-Taylor estimation

b.       Arellano-Bond estimation

Workshop 2

Presenter: Dr Con Menictas

Strategic Precision - https://strategicprecision.com.au/

Con is an accredited statistician (AStat,  AUS) and (PStat, USA), a qualified researcher (QPR) and certified lean six-sigma black belt (LSSBB). His training is in behavioural economics, statistics and decision sciences, earning his PhD under Professor Jordan Louviere, the global authority on choice modelling. Con has trained extensively in data mining and big data modelling in the USA, under Professor Dan Steinberg, the founder of Salford-Systems, considered the benchmark in data science.

He has held national quantitative roles in research firms, and corporates in FMCG, utilities, finance and airline. Con has lectured and provided PhD supervision in statistics, machine learning, market research, price modelling, strategy and marketing theory and practice.

Click here to read more


Using Stata for Social Statistics

Stata provides powerful features for applied analysis and modelling of social data.  Examples of social data include asset data, demographic, employment data, happiness measures, political, satisfaction, values, etc.

This course teaches social data analysis using Stata by:

  1. Introducing participants to the different types of social data and the analysis of social data.

  2. Teaching participants Stata and statistical skills to interrogate social data using a variety of routines to produce applied solutions.

  3. Helping participants to look beyond aggregate models by looking deeper into the datasets to achieve better segmentation using Stata's powerful toolsets.

  4. Providing “hands-on” experience writing Stata code and generating highly reproducible and meaningful output.

Giving participants insights to leading practices in the modelling, visualising and reporting of social data.


Day 2 - Tuesday 20 August 2019

Time

08:00

08:00

09:00

09:20

10:00

Item

Registration open

posters hung

Conference welcome

Key note presentation #1

Presentation #1

Theme

Statacorp

methods

Author and title

Chuck huber - from statacorp

Choonjoo Lee and Jinwoo Lee - Technology forecasting using Data Envelopment Analysis in Stata


10:40

Morning tea

 
 

11:00


11:20


11:40


12:00

12:20

Presentation #2


Presentation #3


Presentation #4


Presentation #5

Presentation #6

applied


applied


applied


applied

methods

Peter Robinson - Streamlining Resulting and Analysis of High Stakes Examinations

Irma Mooi-Reci - The cumulative disadvantage of unemployment: longitudinal evidence across gender and age in Germany

Bill Tyler - Strains and gains: estimating a first year university student engagement effect with ERM

Ning Li - Longitudinal study on age and life satisfaction

Federico Masera - Discretize: Command to convert a continuous instrument into a dummy variable for instrumental variable estimation


12:40

Lunch

 
 

13:40

14:40

Key note presentation #2

presentation #7

Methods

Methods

demetris christodoulou - data visualisation using stata from first principles

steve quinn - non linear regression using stata and sigmaplot


15:00

afternoon tea

 
 

15:20

15:40

16:05

16:30

Presentation #8

poster reviews

wishes and grumbles

poster winners announced

stata corp

Michael Keane and Timothy Neal - Implementing the Keane and Runkle approach for fitting dynamic panel data models in Stata using xtkr

Bill rising/chuck huber