{"id":7121,"date":"2026-09-04T13:38:50","date_gmt":"2026-09-04T11:38:50","guid":{"rendered":"https:\/\/eaa-online.org\/arc\/events\/"},"modified":"2026-09-04T13:38:50","modified_gmt":"2026-09-04T11:38:50","slug":"archival-data-analysis","status":"publish","type":"event","link":"https:\/\/eaa-online.org\/arc\/events\/archival-data-analysis","title":{"rendered":"Archival Data Analysis"},"content":{"rendered":"<p><strong><span style=\"font-size: 12pt\">Course objective and motivation<\/span><\/strong><\/p>\n<p><span style=\"font-size: 12pt\">The purpose of this course is to provide participants with a better understanding, both conceptual and practical, of a wide range of econometric tools and procedures that are relevant to accounting research. The course should be of interest to anyone who intends to apply quantitative research methods in a broad range of accounting research (financial, managerial, auditing, ESG\/sustainability, etc.).<\/span><\/p>\n<p><span style=\"font-size: 12pt\">After successfully completing introductory econometrics courses, many academics often need more practical knowledge and experience to be able to apply the concepts to accounting research settings. For example, although many well-trained academics are familiar with the theoretical notion of \u201cendogeneity\u201d and are aware of the econometric methods that are available to deal with this issue, such knowledge is typically helpful only when we truly understand the nature of our data, the underlying problem that we aim to solve, and the boundaries of the methods in addressing the problem.<\/span><\/p>\n<p><span style=\"font-size: 12pt\">Using a variety of recent academic papers and example datasets in Stata, this course is designed to help participants better (i) appreciate the relevance of textbook econometric methods for accounting research, (ii) understand how to apply these methods in accounting research, and, perhaps most importantly, (iii) understand and recognize the limitations of these methods. Along the way, we will also explore the benefits of simulation analyses, which often help to make the common econometric problems, and the potential solutions, much easier to understand than the math.<\/span><\/p>\n<p><strong><span style=\"font-size: 12pt\">Course instructor<\/span><\/strong><\/p>\n<section class=\"content-section\"><span style=\"font-size: 12pt\">Professor David Veenman is a Professor of Financial Accounting at the University of Amsterdam Faculty of Economics and Business, Amsterdam Business School, where he teaches and conducts research in accounting, financial reporting, and market valuation. His research focuses on how financial disclosures and reporting influence the valuation of publicly traded firms, how market frictions arise from managerial incentives and information processing, and the implications of accounting practices for investors and market efficiency.<\/span><\/section>\n<section>\n<section class=\"content-section\"><strong>Practical information<\/strong><strong>Venue: <\/strong>University of Amsterdam, Faculty of Economics and Business, Section Accounting<\/p>\n<\/section>\n<section><\/section>\n<section class=\"content-section\"><strong>Included:<\/strong><\/section>\n<section class=\"content-section\">\n<ul>\n<li>Course materials (digital)<\/li>\n<li>Coffee and tea<\/li>\n<li>Certificate (6 ECTS)<\/li>\n<li>Access to Professor Veenman&#8217;s &#8220;Guide to Using Stata&#8221;<\/li>\n<\/ul>\n<\/section>\n<section class=\"content-section\"><strong>Certification<\/strong>Upon successful completion of the course you will receive a certificate worth 6 ECTS (European Credits).<\/p>\n<\/section>\n<\/section>\n","protected":false},"excerpt":{"rendered":"<p>Course objective and motivation The purpose of this course is to provide participants with a better understanding, both conceptual and practical, of a wide range of econometric tools and procedures that are relevant to accounting research. The course should be of interest to anyone who intends to apply quantitative research methods in a broad range [&hellip;]<\/p>\n","protected":false},"author":570,"featured_media":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"ngg_post_thumbnail":0},"event_category":[168],"event_tag":[225],"event_target_group":[183,152],"class_list":["post-7121","event","type-event","status-publish","hentry","event_category-phd-course","event_tag-accounting","event_target_group-phd-candidates","event_target_group-phd-students"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Archival Data Analysis - ARC<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/eaa-online.org\/arc\/events\/archival-data-analysis\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Archival Data Analysis - ARC\" \/>\n<meta property=\"og:description\" content=\"Course objective and motivation The purpose of this course is to provide participants with a better understanding, both conceptual and practical, of a wide range of econometric tools and procedures that are relevant to accounting research. 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