Sessions

All session titles are tentative and may change. All classes start at 4:25PM Eastern, most will end by 6PM Eastern.

Final class grades are computed from the lab grades – there is no final exam this year. All dates are for 2017, all times are Eastern (EST or EDT as appropriate). You can use the “Categories” to filter sessions.

Aug
24
Thu
Session 0: Course Introduction
Aug 24 @ 4:25 pm – 6:00 pm

We will introduce the teaching environment (technical and organizationally), and present the class itself.

Lecture notes

  • INFO7470 2017 Course Introduction  (PPTXPDF)

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Aug
31
Thu
Session 1: Overview of the U.S. Statistical System
Aug 31 @ 4:25 pm – 6:00 pm

An overview of the U.S. statistical system is given.

 

Lecture notes

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Sep
7
Thu
Session 2: History of the Federal Statistical Infrastructure
Sep 7 @ 4:25 pm – 6:00 pm

Margo Anderson (University of Wisconsin – Milwaukee) presents on the history of the federal statistical system (flipped classroom). She will be present to discuss the lecture.

Readings and other information

Lecture Notes

Historical Perspectives on the U.S. Federal Statistical System

About the Guest Lecturer

Margo Anderson, University of Wisconsin – Milwaukee

Margo Anderson

Margo Anderson is Distinguished Professor of History & Urban Studies at the University of Wisconson - Milwaukee. She specializes in American social, urban and women's history and has research interests in both urban history and the history of the social sciences and the development of statistical data systems, particularly the census. Her publications include Who Counts? The Politics of Census Taking in Contemporary America (2001), coauthored with Stephen E. Fienberg, and a coedited volume with Victor Greene, Perspectives on Milwaukee's Past (University of Illinois Press, 2009). Her most recent publication, of particular relevance to this class, is The American Census: A Social History, Second Edition. Yale University Press, 2015. More information about Margo can be found at her University of Wisconsin-Milwaukee website and her personal website.

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Sep
14
Thu
Session 3: [No class] Universes, Populations, Frames, and Sampling
Sep 14 @ 4:25 pm – 4:30 pm

This class coincides with FSRDC system’s annual conference. There will be no in-classroom activity at most sites on this day (please check with local coordinator). The content of this section will be discussed on Sept 21, 2017, so students should take the time to view the materials on edX during this week.

Lecture notes

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Sep
21
Thu
Session 4: Measuring People and Households
Sep 21 @ 4:25 pm – 6:00 pm
Sep
28
Thu
Session 5: Measuring Business and Economic Activity
Sep 28 @ 4:25 pm – 6:00 pm

This lecture is a “flipped” lecture. 

Lecture Notes

Lab

The lab will be posted on edX.

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Oct
12
Thu
Session 7: Data from Other Statistical Agencies and Other Sources
Oct 12 @ 4:25 pm – 6:00 pm


Health statistics, energy statistics, agricultural statistics, others. Registered-based statistics, organic data. Details to come.

Lecture Notes

Oct
19
Thu
Session 8: Census Geography
Oct 19 @ 4:25 pm – 6:00 pm

This will be “flipped classroom” on Geographic Information Systems (GIS) – basic geocoding, geographic concepts, and other topics.

Lecture Notes

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Oct
26
Thu
Session 9: Restricted Access Data and Replicability
Oct 26 @ 4:25 pm – 6:00 pm

Flipped classrom about access to restricted access data. Students will be introduced to the research proposal mechanism of the Federal Statistical Research Data Center.

Discussion will focus on how to access various restricted access data sets. Guest presenters may be present live in the videoconference classroom.

Part 3 switches gears, and discusses the need for and the requirements of replicable science (in general, and in restricted-access environments). This part is a live lecture by Lars Vilhuber.

Lecture Notes

Additional links

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Nov
2
Thu
Session 10: Statistical Tools – Record Linkage and Total Quality Evaluation
Nov 2 @ 4:25 pm – 6:00 pm

The class is flipped classroom, with discussion by “guest lecturer” John Abowd.

Introduction to record linking

  • What is record linking, what is it not, what is the theory?
  • Record linking: applications and examples – How do you do it, what do you need, what are the possible complications?
  • Examples of record linking

Total quality evaluation – errors from coverage, sampling, edit, and imputation.

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Nov
9
Thu
Session 11: Statistical Tools – Edit and Imputation
Nov 9 @ 4:25 pm – 6:00 pm
  • Formal models of edits and imputations
  • Missing data overview
  • Missing records – Frame or census – Survey
  • Missing items
  • Overview of different products
  • Overview of methods
  • Formal multiple imputation methods

Lecture Notes

Lab

The lab (an edit and imputation exercise) will be posted on the INFO7470x edX site. You will need to create a program, and upload the program (language of your choice) to edX.

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Nov
16
Thu
Session 12: Statistical Tools – Disclosure Limitation Methods – Synthetic Data
Nov 16 @ 4:25 pm – 6:00 pm
  • Why must users of restricted-access data learn about confidentiality protection?
  • What is statistical disclosure limitation?
  • What are privacy-preserving data mining and differential privacy?
  • Basic methods for disclosure avoidance (SDL)
  • Rules and methods for model-based SDL
  • SDL-based noise methods
  • Synthetic data
  • Differential privacy methods

Lecture Notes

Supplementary Materials

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Nov
23
Thu
No class (Cornell Thanksgiving Recess)
Nov 23 all-day
Nov
30
Thu
Session 13: Statistical Tools – Geographic and Network Analysis Methods
Nov 30 @ 4:25 pm – 6:00 pm

Flipped class

  • Part A: Spatial Analysis (Nicholas Nagle of University of Tennessee – Knoxville)
  • Part B: Network Analysis (John Abowd, Cornell University)


Part A: Spatial Analysis

Topics

  • Basic Geocoding
  • Tools for Geocoding
  • Analysis Methods
  • Tools for Geographic Analysis

Lecture Notes

About the Guest Lecturer

Nicholas Nagle, University of Tennessee – Knoxville

Nicholas Nagle

Nicholas Nagle is a GIScientist/geospatial analyst whose research centers on combining spatial data in order to produce more reliable geographic information. Prof. Nagle holds a joint faculty appointment with the Geographic Information Science and Technology group at Oak Ridge National Laboratory. He is currently working on a number of projects improving the availability and reliability of data from the US Census Bureau, developing methods to identify land cover change, and is working on a number of projects related to population and health, both in Tennessee and in developing countries.

Part B: Network Analysis

This part of the lecture is a live class.

Lecture Notes

About the Guest Lecturer

John Abowd, Cornell University and now U.S. Census Bureau

John Abowd

John M. Abowd is currently the Associate Director for Research and Methodology and Chief Scientist, United States Census Bureau, on leave from Cornell University. At Cornell, he is the Edmund Ezra Day Professor of Economics, Professor of Statistics and Information Science at Cornell University, and the Director of the Labor Dynamics Institute (LDI) at Cornell. He previously served as a Distinguished Senior Research Fellow at the United States Census Bureau (1998-2015). He is also a Research Associate at the National Bureau of Economic Research (NBER, Cambridge, MA), Research Affiliate at the Centre de Recherche en Economie et Statistique (CREST, Paris, France), Research Fellow at the Institute for Labor Economics (IZA, Bonn, Germany), and Research Fellow at IAB (Institut für Arbeitsmarkt-und Berufsforschung, Nürnberg, Germany). He is the outgoing President (2014-2015) and Fellow of the Society of Labor Economists, a past Chair (2013) of the Business and Economic Statistics Section and a Fellow of the American Statistical Association. He is an Elected Member of the International Statistical Institute and a Fellow of the Econometric Society. He previously served on the National Academies’ Committee on National Statistics (2010- 2016) and on the American Economic Association’s Committee on Economic Statistics. He served as Director of the Cornell Institute for Social and Economic Research (CISER) from 1999 to 2007.

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Dec
7
Thu
No final exam
Dec 7 all-day

The class does not have a final exam. The last class at Cornell is on November 30. Check with your local coordinator about any local arrangements.

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Previous versions of the course can be found in our archives.

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