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Course outline (2007).

Content may change. Please check back frequently for an updated version. Session titles in italics indicate tentative content subject to change. For the 2005 version of the course, including video recordings of the sessions, please consult the 2005 course outline.

Session

Date
(mm/dd)

Topic

1a

1/25

Introduction

1b

1/25

Data Everywhere

LAB 1

1/26-1/31

Finding Sources, Documents, and Data

2a

2/1

Public and Private Data Collection in the U.S., and the U.S. Statistical Infrastructure

2b

2/1

Confidentiality, Privacy and the Ethics of Social Data

LAB 2

2/2-7

Going From Public Use to Underlying Data

3a

2/8

Household Surveys: American Community Survey
Guest speaker: Warren Brown, Cornell University

3b

2/8

Household Surveys: American Household Survey
Guest speaker: Warren Brown, Cornell University

No LAB

2/9-14

 

4a

2/15

Populations and Sampling Frames

4b

2/15

Sampling Frame Maintenance

LAB 4

2/16-2/21

Basic Statistical Tools

5a

2/22

Canadian Statistical Infrastructure
Guest speaker: Gustave Goldmann, Statistics Canada

5b

2/22

International Statistical Infrastructure

LAB 5

2/23-2/28

Comparing Economic Data from Official Sources

6a

3/1

Using the Economic Census and Business Register
Guest speaker: Jim Davis, U.S. Census Bureau

6b

3/1

Using Census Business Data
Guest speaker: Wayne Gray, Clark University and NBER

LAB 6

3/2-3/7

Using Data from Business and Household Censuses

7a

3/8

Analyzing Frames and Samples with Missing Data

7b

3/8

General Methods for Missing Data

LAB 7

3/9-3/14

Probabilistic Cross Walks and Industry Data

8a

3/15

Using Census Economic Surveys to build National Accounts I
Guest speaker: Brent Moulton, Bureau of Economic Analysis

8b

3/15

Using Census Economic Surveys to build National Accounts II
Guest speaker: Brent Moulton, Bureau of Economic Analysis

LAB 8

3/16-3/28

--

3/22

No class (Spring Break @ Cornell)

9a

3/29

Multiple Imputation I

9b

3/29

Multiple Imputation II

LAB 9

3/30-4/4

Missing Data Analysis Using Multiple Imputation or Synthetic Census Data (TBD)

10a

4/5

Probabilistic Record Linking
Speaker: Lars Vilhuber, Cornell University

10b

4/5

Applications of Record Linking
Speaker: Lars Vilhuber, Cornell University

LAB 10

4/6-4/11

Record Linking

11a

4/12

Statistical Tools for Data Integration

11b

4/12

Modeling Integrated Data

LAB 11

4/13-4/18

Modeling Integrated Data

12a

4/19

Methods of Confidentiality Protection
Guest speakers: Jean-Louis Tambay, (Statistics Canada), Arnold Reznek (Census Bureau)

12b

4/19

Recent Advances in Confidentiality Protection

LAB 12

4/20-4/25

Synthetic Economic Data

13a

4/26

Data Quality Issues in the Decennial Census
Guest speaker: Sanders Korenman, Baruch College

13b

4/26

Introduction to the Census RDC Proposal Application Process
Guest speaker: Rosemary Hyson, U.S. Census Bureau- NYC RDC

LAB 13

4/27-5/3

Preliminary Proposals and Predominant Purpose Statements

5/3

No Class

LAB 14
5/5-5/12

Take Home Final

14a

5/10

Introduction to the Census RDC Proposal Application Process (continued)
Guest speaker: Rosemary Hyson, U.S. Census Bureau- NYC RDC