scholarly journals FRED-SD: A real-time database for state-level data with forecasting applications

2022 ◽  
Author(s):  
Kathryn O. Bokun ◽  
Laura E. Jackson ◽  
Kevin L. Kliesen ◽  
Michael T. Owyang
Keyword(s):  
Real Time ◽  
State Level ◽  
Level Data ◽  
Real Time Database

scholarly journals FRED-SD: A Real-Time Database for State-Level Data with Forecasting Applications

2020 ◽  
Author(s):  
Kevin L. Kliesen ◽  
Michael T. Owyang ◽  
Laura E. Jackson ◽  
Kathryn O. Bokun
Keyword(s):  
Real Time ◽  
State Level ◽  
Level Data ◽  
Real Time Database

scholarly journals Addressing Disclosure Concerns and Analysis Demands in a Real-Time Online Analytic System

2013 ◽  
Vol 29 (1) ◽  
pp. 99-124 ◽  
Author(s):  
Tom Krenzke ◽  
Jane F. Gentleman ◽  
Jianzhu Li ◽  
Chris Moriarity
Keyword(s):  
Real Time ◽  
Survey Data ◽  
State Level ◽  
Statistical Disclosure Control ◽  
Health Statistics ◽  
The Public ◽  
Disclosure Control ◽  
Level Data ◽  
Statistical Disclosure ◽  
Interview Survey

Abstract This article focuses on methods for enhancing access to survey data produced by government agencies. In particular, the National Center for Health Statistics (NCHS) is developing methods that could be used in an interactive, integrated, real-time online analytic system (OAS) to facilitate analysis by the public of both restricted and public use survey data. Data from NCHS’ National Health Interview Survey (NHIS) are being used to investigate, develop, and evaluate such methods. We assume the existence of public use microdata files, as is the case for the NHIS, so disclosure avoidance methods for such an OAS must account for that critical constraint. Of special interest is the analysis of state-level data because health care is largely administered at the state level in the U.S., and state identifiers are not on the NHIS public use files. This article describes our investigations of various possible choices of methods for statistical disclosure control and the challenges of providing such protection in a real-time OAS that uses restricted data. Full details about the specific disclosure control methods used by a working OAS could never be publicly released for confidentiality reasons. NCHS is still evaluating whether to implement an OAS that uses NHIS restricted data, and this article provides a snapshot of a research and developmental project in progress.

Performance Evaluation of a Firm Real-Time DataBase System

1995 ◽  
Author(s):  
Stuart Shih ◽  
Young-Kuk Kim ◽  
Sang H. Son
Keyword(s):  
Performance Evaluation ◽  
Real Time ◽  
Database System ◽  
Real Time Database

Engagement Through the Diaspora Channel

2017 ◽  
Author(s):  
Michael S. Danielson
Keyword(s):  
Civil Society ◽  
Statistical Models ◽  
State Level ◽  
The State ◽  
Multivariate Statistical ◽  
Political Factors ◽  
Data Set ◽  
Level Data ◽  
Municipal Level

The first empirical task is to identify the characteristics of municipalities which US-based migrants have come together to support financially. Using a nationwide, municipal-level data set compiled by the author, the chapter estimates several multivariate statistical models to compare municipalities that did not benefit from the 3x1 Program for Migrants with those that did, and seeks to explain variation in the number and value of 3x1 projects. The analysis shows that migrants are more likely to contribute where migrant civil society has become more deeply institutionalized at the state level and in places with longer histories as migrant-sending places. Furthermore, the results suggest that political factors are at play, as projects have disproportionately benefited states and municipalities where the PAN had a stronger presence, with fewer occurring elsewhere.

scholarly journals Secure transaction processing in firm real-time database systems

1997 ◽  
Vol 26 (2) ◽  
pp. 462-473 ◽  
Author(s):  
Binto George ◽  
Jayant Haritsa
Keyword(s):  
Real Time ◽  
Database Systems ◽  
Transaction Processing ◽  
Real Time Database
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