scholarly journals Corrigendum To: Using Administrative Records and Survey Data to Construct Samples of Tweeters and Tweets

2021 ◽  
Keyword(s):  
Survey Data ◽  
Administrative Records

Linking Federal Surveys with Administrative Data to Improve Research on Families

2016 ◽  
Vol 669 (1) ◽  
pp. 63-74 ◽  
Author(s):  
Amy O’Hara ◽  
Rachel M. Shattuck ◽  
Robert M. Goerge
Keyword(s):  
Survey Data ◽  
Administrative Data ◽  
Low Income ◽  
Family Relationships ◽  
Census Data ◽  
Federal State ◽  
Great Promise ◽  
Science Literature ◽  
Administrative Records ◽  
State And Local

Linkage of federal, state, and local administrative records to survey data holds great promise for research on families, in particular research on low-income families. Researchers can use administrative records in conjunction with survey data to better measure family relationships and to capture the experiences of individuals and family members across multiple points in time and social and economic domains. Administrative data can be used to evaluate program participation in government social welfare programs, as well as to evaluate the accuracy of reporting on receipt of such benefits. Administrative records can also be used to enhance collection and accuracy of survey and census data and to improve coverage of hard-to-reach populations. This article discusses potential uses of linked administrative and survey data, gives an overview of the linking methodology and infrastructure (including limitations), and reviews social science literature that has used this method to date.

scholarly journals Harnessing Administrative Records for Official Statistics on People and Households

2018 ◽  
Vol 3 (5) ◽  
Author(s):  
Misty L Heggeness
Keyword(s):  
Survey Data ◽  
Census Bureau ◽  
Data Sources ◽  
Official Statistics ◽  
Administrative Records ◽  
The Great Depression ◽  
Federal Statistical ◽  
Fiction Writers ◽  
Working Age ◽  
The Impact

The availability and excessiveness of alternative (non-survey) data sources, collected on a daily, hourly, and sometimes second-by-second basis, has challenged the federal statistical system to update existing protocol for developing official statistics. Federal statistical agencies collect data primarily through survey methodologies built on frames constructed from administrative records. They compute survey weights to adjust for non-response and unequal sampling probabilities, impute answers for nonresponse, and report official statistics via tabulations from these survey. The U.S. federal government has rigorously developed these methodologies since the advent of surveys -- an innovation produced by the urgent desire of Congress and the President to estimate annual unemployment rates of working age men during the Great Depression. In the 1930s, Twitter did not exist; high-scale computing facilities were not abundant let alone cheap, and the ease of the ether was just a storyline from the imagination of fiction writers. Today we do have the technology, and an abundance of data, record markers, and alternative sources, which, if curated and examined properly, can help enhance official statistics. Researchers at the Census Bureau have been experimenting with administrative records in an effort to understand how these alternative data sources can improve our understanding of official statistics. Innovative projects like these have advanced our knowledge of the limitations of survey data in estimating official statistics. This paper will discuss advances made in linking administrative records to survey data to-date and will summarize the research on the impact of administrative records on official statistics.

scholarly journals Linking survey responses and administrative records without respondent consent to link; a discussion paper

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Frances Burns ◽  
Dermot O Reilly
Keyword(s):  
Survey Data ◽  
Data Linkage ◽  
Research Question ◽  
Research Network ◽  
Discussion Paper ◽  
Sensitive Data ◽  
Administrative Records ◽  
Explicit Consent ◽  
The Uk ◽  
Survey Responses

ABSTRACTObjectives(i) Review the application and interpretation of the Data Protection Act (DPA) 1998; clarifying whether individual consent is required for data linkage for secondary research purposes, in consideration of the policies and principles of the UK Administrative Data Research Network (ADRN). (ii) Determine ethical, logistical or ‘tactical’ factors researchers might have to take into consideration. ApproachLinking survey data to administrative records offer potential advantage to both researchers and survey respondents. Informed, specific and explicit consent is typically a prerequisite for linkage. However, not all respondents consent to data-linkage resulting in a reduced and potentially biased sub-sample for analysis. In Northern Ireland consent rates for record linkage are typically about 50%. Discussion with the ICO confirms that the DPA may encourage rather than restrict research. S33 ‘research exemption’ supports secondary use of survey data subject to conditions such as that is for research purposes, it is not incompatible with the original purpose, and would not cause the data subjects substantial damage or distress. Other DPA principles remain in force; Principle 1 (fair and lawful processing) and the need to make data subjects ‘aware’ of the research: explicit consent is only one route by which this can be achieved. The Processing Sensitive Data Order (2000) protects the privacy of individuals. Research must be of substantial public interest with access only to data necessary to answer the research question. The ADRN enables access to de identified data for research purposes where identified public benefit is independently assured, maintains the privacy of individuals and ensures lawful “conditions of processing” are met. Resulting discussionLegal considerations aside, researchers may face other obstacles; the first is technical as the surveying agency may have deleted all linkable identifiers. The second is ethical as research ethics committee approval is a usual precondition. De-identification of individual subjects should be grounds for ethical approval where the research proposal includes a publication plan with appropriate methods to inform participants of research conducted and findings. Finally, the data custodians may not agree to the linkage for sound ‘tactical’ longer-term reasons, even if convinced of its legality. ConclusionUse of de identified survey data for research purposes is possible via the UK ADRN but raises other considerations for researchers and data custodians. We argue that this option should be used in limited circumstances.

scholarly journals Do Oil Windfalls Improve Living Standards? Evidence from Brazil

2013 ◽  
Vol 5 (1) ◽  
pp. 208-238 ◽  
Author(s):  
Francesco Caselli ◽  
Guy Michaels
Keyword(s):  
Public Good ◽  
Survey Data ◽  
Household Income ◽  
Living Standards ◽  
Public Good Provision ◽  
Government Behavior ◽  
Administrative Records ◽  
Goods And Services ◽  
Social Transfers ◽  
Good Provision

We use variation in oil output among Brazilian municipalities to investigate the effects of resource windfalls on government behavior. Oil-rich municipalities experience increases in revenues and report corresponding increases in spending on public goods and services. However, survey data and administrative records indicate that social transfers, public good provision, infrastructure, and household income increase less (if at all) than one might expect given the higher reported spending. (JEL H41, H75, I31, O13, O15, O17, O18)

scholarly journals Liquidity Constraint Tightness and Consumer Responses to Fiscal Stimulus Policy

2019 ◽  
Vol 11 (1) ◽  
pp. 351-379 ◽  
Author(s):  
Claus Thustrup Kreiner ◽  
David Dreyer Lassen ◽  
Søren Leth-Petersen
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Survey Data ◽  
Substantial Variation ◽  
Fiscal Stimulus ◽  
Consumer Responses ◽  
Liquidity Constraint ◽  
Administrative Records ◽  
Level Information ◽  
Consumption Theory

The marginal interest rate is the price at which a household can access additional liquidity. Consumption theory posits that variation in marginal interest rates across consumers predicts differences in the propensity to spend a stimulus payment. This hypothesis is tested in the context of a Danish 2009 stimulus policy that transformed illiquid pension wealth into liquid wealth. Marginal interest rates are constructed from administrative records with account level information and merged with survey data measuring the spending response to the stimulus policy. The data reveal substantial variation in marginal interest rates across consumers, and these interest rates predict spending responses. (JEL D14, D15, E21, E43, E62)

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