{"id":150696,"date":"2022-11-02T10:45:38","date_gmt":"2022-11-02T02:45:38","guid":{"rendered":"https:\/\/www.curtin.edu.au\/study\/?post_type=pd&#038;p=150696"},"modified":"2023-03-21T10:55:28","modified_gmt":"2023-03-21T02:55:28","slug":"evaluation-methods-for-economic-and-social-policy-analysis","status":"publish","type":"pd","link":"https:\/\/www.curtin.edu.au\/study\/prof-development\/evaluation-methods-for-economic-and-social-policy-analysis\/","title":{"rendered":"Evaluation methods for economic and social policy analysis"},"content":{"rendered":"\n<p>This two-day masterclass run by the Bankwest Curtin Economics Centre will provide course attendees with the quantitative and empirical tools necessary to evaluate the <em>causal<\/em> impact of policy interventions on economic and social outcomes.<\/p>\n\n\n\n<p>The course will introduce attendees to the main quantitative evaluation approaches used in economic and social data analysis to estimate causal impacts. These include randomised experimental methods, instrumental variables, regression discontinuity design, matching methods and longitudinal evaluation techniques including the difference-in-differences approach.<\/p>\n\n\n\n<p>The course is structured around a combination of accessible lecture-based instruction and practical computer exercises. Each exercise uses real world datasets to illustrate techniques, and support a better understanding of the applicability of quantitative evaluation approaches in different applied contexts, for example:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>How does tax or welfare reform impact on labour market participation<\/li>\n\n\n\n<li>Do changes in the Age Pension asset test threshold affect household savings behaviour?<\/li>\n\n\n\n<li>What is the causal impact of active labour market programs on employment?<\/li>\n\n\n\n<li>Do flexible workplace policies affect employee retention or workforce gender balance?<\/li>\n\n\n\n<li>Does financial literacy training reduce the incidence of cyber fraud among older Australians?<\/li>\n<\/ul>\n\n\n\n<p>Instruction is delivered in a way that conveys an intuitive understanding of quantitative evaluation methods, as well as the empirical tools through which to implement those methods in practical economic or social policy contexts. In doing so, the course is intended to support data-driven business decisions and evidence-based policy making.<\/p>\n\n\n<mimas-block \n        block-name=\"accordion\"\n        role=\"complementary\"\n        aria-label=\"Accordion content\"\n        data-segment=\"all\">\n\n                \n\n                    <div class=\"accordion\" aria-labelledby=\"accordion-title-Learning-outcomes\">\n            <button type=\"button\" class=\"accordion__heading\" aria-controls=\"Learning-outcomes\" aria-expanded=\"false\">\n            <div class=\"title\" id=\"accordion-title-Learning-outcomes\">Learning outcomes<\/div>\n            <div class=\"icon\"><\/div>\n        <\/button>\n        <div class=\"accordion__content\" id=\"Learning-outcomes\" aria-hidden=\"true\">\n                    <p>The course will cover:<\/p>\n<ul>\n<li>A framework for quantitative evaluation<\/li>\n<li>Randomised experimental design<\/li>\n<li>The na\u00efve estimator of average treatment effects<\/li>\n<li>Instrumental variables in evaluation<\/li>\n<li>Natural experimental methods<\/li>\n<li>Regression discontinuity design<\/li>\n<li>Using matching methods in evaluation<\/li>\n<li>The difference-in-differences approach<\/li>\n<\/ul>\n<p>The course will explore the basic intuition and applicability for each method using appropriate real-world examples, detail the strengths and weaknesses of each approach, and demonstrate the statistical implementation of evaluation methods in practical sessions using real world data.<\/p>\n\n        \n                            \n                    <\/div>\n<\/div>\n                    <div class=\"accordion\" aria-labelledby=\"accordion-title-Who-is-the-program-for?\">\n            <button type=\"button\" class=\"accordion__heading\" aria-controls=\"Who-is-the-program-for?\" aria-expanded=\"false\">\n            <div class=\"title\" id=\"accordion-title-Who-is-the-program-for?\">Who is the program for?<\/div>\n            <div class=\"icon\"><\/div>\n        <\/button>\n        <div class=\"accordion__content\" id=\"Who-is-the-program-for?\" aria-hidden=\"true\">\n                    <p>Course attendees should have some familiarity with data analysis and the application of basic statistical methods such as descriptive statistical analysis and linear regression. The target audience includes public policy professionals, analysts from the private and community sectors, academics and social scientists, early career researchers, as well as Honours and postgraduate research students.<\/p>\n\n        \n                            \n                    <\/div>\n<\/div>\n                    <div class=\"accordion\" aria-labelledby=\"accordion-title-Course-resources-\">\n            <button type=\"button\" class=\"accordion__heading\" aria-controls=\"Course-resources-\" aria-expanded=\"false\">\n            <div class=\"title\" id=\"accordion-title-Course-resources-\">Course resources <\/div>\n            <div class=\"icon\"><\/div>\n        <\/button>\n        <div class=\"accordion__content\" id=\"Course-resources-\" aria-hidden=\"true\">\n                    <p>Specific instruction in the use of the STATA statistical analysis software package is provided, along with a full set of course resources used throughout the workshop, including practical exercises, course notes, STATA programs and example data and codes. Participants will be able to adapt these resources to suit their own research needs.<\/p>\n\n        \n                            \n                    <\/div>\n<\/div>\n                    <div class=\"accordion\" aria-labelledby=\"accordion-title-Program-schedule\">\n            <button type=\"button\" class=\"accordion__heading\" aria-controls=\"Program-schedule\" aria-expanded=\"false\">\n            <div class=\"title\" id=\"accordion-title-Program-schedule\">Program schedule<\/div>\n            <div class=\"icon\"><\/div>\n        <\/button>\n        <div class=\"accordion__content\" id=\"Program-schedule\" aria-hidden=\"true\">\n                    <p><span style=\"text-decoration: underline\"><strong>Day One<\/strong><\/span><\/p>\n<table width=\"614\">\n<tbody>\n<tr>\n<td width=\"132\"><strong>Time<\/strong><\/td>\n<td width=\"482\"><strong>Title <\/strong><\/td>\n<\/tr>\n<tr>\n<td width=\"132\">9:00am \u2013 10:30am<\/td>\n<td width=\"482\">Policy evaluation methods \u2013 introduction<\/p>\n<p>Evaluation concepts and frameworks<\/p>\n<p>Regression methods \u2013 a refresher<\/td>\n<\/tr>\n<tr>\n<td width=\"132\">10:30am \u2013 11:00am<\/td>\n<td width=\"482\">Morning tea<\/td>\n<\/tr>\n<tr>\n<td width=\"132\">11:00am \u2013 12:30pm<\/td>\n<td width=\"482\">Practical Session 1:<\/p>\n<p>&#8211;\u00a0\u00a0\u00a0\u00a0 An introduction\/refresh to STATA<\/p>\n<p>&#8211;\u00a0\u00a0\u00a0\u00a0 Applied regression and<\/p>\n<p>&#8211;\u00a0\u00a0\u00a0\u00a0 Average treatment effects using STATA<\/td>\n<\/tr>\n<tr>\n<td width=\"132\">12:30pm \u2013 1:15pm<\/td>\n<td width=\"482\">Lunch<\/td>\n<\/tr>\n<tr>\n<td width=\"132\">1:15pm \u2013 2:30pm<\/td>\n<td width=\"482\">Understanding causality in economics:<\/p>\n<p>&#8211;\u00a0\u00a0\u00a0\u00a0 Endogeneity and causality<\/p>\n<p>&#8211;\u00a0\u00a0\u00a0\u00a0 natural and social experiments<\/p>\n<p>&#8211;\u00a0\u00a0\u00a0\u00a0 instrumental variables<\/td>\n<\/tr>\n<tr>\n<td width=\"132\">2:45pm \u2013 3:00pm<\/td>\n<td width=\"482\">Afternoon tea<\/td>\n<\/tr>\n<tr>\n<td width=\"132\">3:00pm \u2013 4:30pm<\/td>\n<td width=\"482\">Practical Session 2:<\/p>\n<p>&#8211;\u00a0\u00a0\u00a0\u00a0 Regression methods for evaluation<\/p>\n<p>&#8211;\u00a0\u00a0\u00a0\u00a0 Modelling causal effects with natural experiments<\/p>\n<p>&#8211;\u00a0\u00a0\u00a0\u00a0 Applying instrumental variables in STATA<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"text-decoration: underline\"><strong>Day Two<\/strong><\/span><\/p>\n<table width=\"614\">\n<tbody>\n<tr>\n<td width=\"160\"><strong>Time<\/strong><\/td>\n<td width=\"454\"><strong>Title <\/strong><\/td>\n<\/tr>\n<tr>\n<td width=\"160\">9:00am \u2013 10:30am<\/td>\n<td width=\"454\">Quantitative evaluation using longitudinal data<\/p>\n<p>&#8211;\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Randomised experimental design<\/p>\n<p>&#8211;\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Treatment effects and the na\u00efve estimator<\/p>\n<p>&#8211;\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Difference-in-differences<\/td>\n<\/tr>\n<tr>\n<td width=\"160\">10:30am \u2013 11:00am<\/td>\n<td width=\"454\">Morning tea<\/td>\n<\/tr>\n<tr>\n<td width=\"160\">11:00am \u2013 12:30pm<\/td>\n<td width=\"454\">Practical Session 3:<\/p>\n<p>&#8211;\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Difference-in-differences (DiD) using STATA<\/p>\n<p>&#8211;\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Strengths and limitations with DiD<\/td>\n<\/tr>\n<tr>\n<td width=\"160\">12:30pm \u2013 1:15pm<\/td>\n<td width=\"454\">Lunch<\/td>\n<\/tr>\n<tr>\n<td width=\"160\">1:15pm \u2013 2:30pm<\/td>\n<td width=\"454\">Alternative regression approaches to quantitative evaluation:<\/p>\n<p>&#8211;\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Regression discontinuity design<\/p>\n<p>&#8211;\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 The use of matching methods in evaluation<\/td>\n<\/tr>\n<tr>\n<td width=\"160\">2:45pm \u2013 3:00pm<\/td>\n<td width=\"454\">Afternoon tea<\/td>\n<\/tr>\n<tr>\n<td width=\"160\">3:00pm \u2013 4:15pm<\/td>\n<td width=\"454\">Practical Session 4:<\/p>\n<p>&#8211;\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Applying regression discontinuity methods<\/p>\n<p>&#8211;\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Sample matching on observed characteristics<\/td>\n<\/tr>\n<tr>\n<td width=\"160\">4:15pm \u2013 4:30pm<\/td>\n<td width=\"454\">Course round-up and close<\/p>\n<p>&nbsp;<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n\n        \n                            \n                    <\/div>\n<\/div>\n                    <div class=\"accordion\" aria-labelledby=\"accordion-title-Credit-for-recognised-learning-\">\n            <button type=\"button\" class=\"accordion__heading\" aria-controls=\"Credit-for-recognised-learning-\" aria-expanded=\"false\">\n            <div class=\"title\" id=\"accordion-title-Credit-for-recognised-learning-\">Credit for recognised learning <\/div>\n            <div class=\"icon\"><\/div>\n        <\/button>\n        <div class=\"accordion__content\" id=\"Credit-for-recognised-learning-\" aria-hidden=\"true\">\n                    <p>When you complete this program you may be eligible to receive up to 10 credit points towards Curtin\u2019s flagship MBA Program.<\/p>\n\n        \n                            \n                    <\/div>\n<\/div>\n        \n<\/mimas-block>","protected":false},"excerpt":{"rendered":"<p>This two-day masterclass run by the Bankwest Curtin Economics Centre will provide course attendees with the quantitative and empirical tools necessary to evaluate the causal impact of policy interventions on economic and social outcomes.<\/p>\n","protected":false},"parent":0,"menu_order":1,"template":"","meta":{"_acf_changed":false,"_oasis_is_in_workflow":0,"_oasis_original":0,"_oasis_task_priority":"","wds_primary_pd-categories":0,"footnotes":""},"pd-categories":[57,59,79],"class_list":["post-150696","pd","type-pd","status-publish","hentry","pd-categories-cbs-masterclasses","pd-categories-previous-masterclasses","pd-categories-ryan-test"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.curtin.edu.au\/study\/wp-json\/wp\/v2\/pd\/150696","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.curtin.edu.au\/study\/wp-json\/wp\/v2\/pd"}],"about":[{"href":"https:\/\/www.curtin.edu.au\/study\/wp-json\/wp\/v2\/types\/pd"}],"version-history":[{"count":5,"href":"https:\/\/www.curtin.edu.au\/study\/wp-json\/wp\/v2\/pd\/150696\/revisions"}],"predecessor-version":[{"id":156829,"href":"https:\/\/www.curtin.edu.au\/study\/wp-json\/wp\/v2\/pd\/150696\/revisions\/156829"}],"wp:attachment":[{"href":"https:\/\/www.curtin.edu.au\/study\/wp-json\/wp\/v2\/media?parent=150696"}],"wp:term":[{"taxonomy":"pd-categories","embeddable":true,"href":"https:\/\/www.curtin.edu.au\/study\/wp-json\/wp\/v2\/pd-categories?post=150696"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}