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.

Taking Aim at Attack Advertising

2019 ◽  
Author(s):  
Kim Fridkin ◽  
Patrick Kenney
Keyword(s):  
Content Analysis ◽  
Focus Groups ◽  
Survey Data ◽  
Data Sources ◽  
Empirical Validation ◽  
Negative Campaigning ◽  
Senate Elections ◽  
Campaign Messages ◽  
Negative Messages ◽  
The Impact

This book develops and tests the “tolerance and tactics theory of negativity.” The theory argues that citizens differ in their tolerance of negative campaigning. Also, candidates vary in the tactics used to attack their opponents, with negative messages varying in their relevance to voters and in the civility of their tone. The interplay between citizens’ tolerance of negativity and candidates’ negative messages helps clarify when negative campaigning will influence citizens’ evaluations of candidates and their likelihood of voting. A diverse set of data sources was collected from U.S. Senate elections (e.g., survey data, experiments, content analysis, focus groups) across several years to test the theory. The tolerance and tactics theory of negativity receives strong empirical validation. First, people differ systematically in their tolerance for negativity, and their tolerance changes over the course of the campaign. Second, people’s levels of tolerance consistently and powerfully influence how they assess negative messages. Third, the relevance and civility of negative messages consistently influence citizens’ assessments of candidates competing for office. That is, negative messages focusing on relevant topics and utilizing an uncivil tone produce significant changes in people’s impressions of the candidates. Furthermore, people’s tolerance of negativity influences their susceptibility to negative campaigning. Specifically, relevant and uncivil messages are most influential for people who are least tolerant of negative campaigning. The relevance and civility of campaign messages also alter people’s likelihood of voting, and the impact of negative messages on turnout is more consequential for people with less tolerance of negativity.

scholarly journals COVID-19’s Socioeconomic Impact on Low-Income Benefit Recipients: Early Evidence from Tracking Surveys

2020 ◽  
Vol 6 ◽  
pp. 237802312097079
Author(s):  
Diana Enriquez ◽  
Adam Goldstein
Keyword(s):  
Survey Data ◽  
Racial Differences ◽  
Low Income ◽  
Census Bureau ◽  
Socioeconomic Impact ◽  
Data Sets ◽  
Online Surveys ◽  
Assistance Program ◽  
Early Evidence ◽  
The Impact

The coronavirus disease 2019 (COVID-19) pandemic has introduced manifold dislocations in Americans’ lives. Using novel survey data samples of Supplemental Nutritional Assistance Program (SNAP) recipients and U.S. Census Bureau Household Pulse Survey data, the authors examine the incidence of COVID-19-induced hardships among low-income/benefits-eligible households during the early months of the crisis. Five repeated online surveys of SNAP recipients measured perceived and realized housing insecurity, food scarcity, new debt accrual, and recent job loss. These data were supplemented by creating parallel measures among all low-income households from Household Pulse Survey. Food insecurity and debt accrual grew more prevalent between from April to June 2020, and job losses compounded. Although the magnitude of racial differences varies across indicators and data sources, black respondents fared consistently worse than non-Hispanic whites in both survey data sets, and Latinx respondents fared worse than whites in the Household Pulse Survey. These results provide early systematic evidence on the impact of the COVID-19 crisis on poor Americans and racial disparities therein.

scholarly journals The impact of different data sources on the level and structure of income inequality

SERIEs ◽  
2021 ◽  
Author(s):  
Luis Ayala ◽  
Ana Pérez ◽  
Mercedes Prieto-Alaiz
Keyword(s):  
Income Inequality ◽  
Social Security ◽  
Survey Data ◽  
Administrative Data ◽  
Living Conditions ◽  
Data Sources ◽  
Social Security Administration ◽  
The Social ◽  
Income Data ◽  
The Impact

AbstractThis paper aims to analyze the effect on measured inequality and its structure of using administrative data instead of survey data. Different analyses are carried out based on the Spanish Survey on Income and Living Conditions (ECV) that continued to ask households for their income despite assigning their income data as provided by the Tax Agency and the Social Security Administration. Our main finding is that the largest discrepancies between administrative and survey data are in the tails of the distribution. In addition to that, there are clear differences in the level and structure of inequality across data sources. These differences matter, and our results should be a wake-up call to interpret the results based on only one source of income data with caution.

Fiscal welfare and its contribution to inequality

2018 ◽  
pp. 91-110
Author(s):  
Adrian Sinfield
Keyword(s):  
Welfare State ◽  
Public Spending ◽  
Social Spending ◽  
Official Statistics ◽  
Means Testing ◽  
National Insurance ◽  
Working Age ◽  
Working Age Population ◽  
The Impact

The tax reliefs and related subsidies of fiscal welfare contribute significantly but virtually invisibly to maintaining and reinforcing inequality. This chapter examines their support to occupational and personal pensions, the largest area of social spending through the tax and National Insurance systems. The benefits go to less than half the working-age population and disproportionately to those paying higher rates of tax, their employers and the pensions industry. It is a major example of ‘means-enhancing’ redistribution as opposed to the means-testing of much welfare state provision. The particular and considerable value of National Insurance exemptions deserves far more attention than government or independent analysts have given it. Official statistics need to integrate fiscal with public spending and include the impact of fiscal welfare in their distributional analyses. Democratic policymaking needs to take account of it in tackling and reducing inequality across the whole society.

scholarly journals On Representativeness of Internet Data Sources for Real Estate Market in Poland

2015 ◽  
Vol 44 (2) ◽  
pp. 45-57 ◽  
Author(s):  
Maciej Eryk Beręsewicz
Keyword(s):  
Real Estate ◽  
Real Estate Market ◽  
Data Sources ◽  
Special Program ◽  
Official Statistics ◽  
Automated Data Collection ◽  
Demand And Supply ◽  
Administrative Records ◽  
Web Spider ◽  
Correct Information

Shifting paradigms in Official Statistics lead to a widespread use of administrative records to support or to create an alternative for census and surveys. At the same time demand for diversified detailed information is increasing. Official Statistics in order to meet this demand need to seek for new data sources. Internet data sources or more general -- Big Data -- could be one of them. Potential usefulness of these new sources of statistical information should not be neglected.The aim of the paper is to assess representativeness of Internet data sources (IDS) for real estate market in Poland. These sources could be used for describing demand and supply on secondary real estate market in more detailed way that is done with existing methodology. In order to assess representativeness, information from official surveys and other data sources will be used. Due to lack of sufficient literature on this issue, own research will be conducted to enhance information from official statistics. For the purpose of the paper Internet data sources will be defined. Register TERYT containing information on street names was used to correct information taken from Internet data sources. Special program for automated data collection (web spider) was developed. All the calculation was done with R statistical software and additional packages (XML, RCurl, httr).

BLACK, TRIGUEÑO, WHITE … ? Shifting Racial Identification among Puerto Ricans

2005 ◽  
Vol 2 (2) ◽  
pp. 267-285 ◽  
Author(s):  
Carlos Vargas-Ramos
Keyword(s):  
Socioeconomic Status ◽  
Puerto Rico ◽  
Survey Data ◽  
Social Dynamics ◽  
Puerto Ricans ◽  
Census Bureau ◽  
Racial Identification ◽  
Racial Categories ◽  
Life Chances ◽  
The Impact

The use of U.S.-oriented racial categories in the 2000 decennial census conducted by the Census Bureau in Puerto Rico provided results that may not accurately reflect social dynamics in Puerto Rico, more generally, and inequality based on race, in particular. This work explores how variations in racial typologies used for the collection of data in Puerto Rico and the methodology used to collect such data produce widely ranging results on racial identification that in turn affect the measurement of the impact of “race” on social outcomes. Specifically, the analysis focuses on how the omission of locally based and meaningful racial terminology from census questionnaires leads to results on racial identification that differ markedly from those found in survey data that include such terminology. In addition, differing strategies to record the racial identification of Puerto Ricans on the island (i.e., self-identification versus identification by others), lead to variations that highlight the changing effect of race on socioeconomic status. Who identifies a person's race affects analyses of how race affects the life chances of individuals in Puerto Rico.

Materialism and Green Purchase Intention: A Study of Urban Vietnamese Consumers

2017 ◽  
pp. 89-106 ◽  
Author(s):  
Mai Nguyen Thi Tuyet ◽  
Hung Nguyen Vu ◽  
Linh Nguyen Hoang ◽  
Minh Nguyen Hoang
Keyword(s):  
Conceptual Framework ◽  
Survey Data ◽  
Purchase Intention ◽  
Behavioral Control ◽  
Subjective Norm ◽  
Perceived Behavioral Control ◽  
Policy Makers ◽  
Tpb Model ◽  
Research Findings ◽  
The Impact

This study focuses on examining the impact of three components of materialism on green purchase intention for urban consumers in Vietnam, an emerging economy. An extended Theory of Planned Behavior (TPB) is applied as the conceptual framework for this study. The hypotheses are empirically tested using survey data obtained from consumers in Hanoi, the capital of Vietnam. The regression results show support for most of our hypotheses. The findings indicate that two out of three facets of materialism are significant predictors of green purchase intention. Specifically, success is found to be negatively related to purchase intention, while happiness is related positively to the intention. All three antecedents in the TPB model, including attitude towards green purchase, subjective norm, and perceived behavioral control are also found to have positive impacts on purchase intention. The research findings are discussed and implications for managers and policy makers are provided.

Pension Reform in Russia: Assessing the Susceptibility of GDP Production to a Shift in the Number of the Working-Age Population

2019 ◽  
pp. 80-86
Author(s):  
T. P. Skufina ◽  
S. V. Baranov
Keyword(s):  
Pension Reform ◽  
Fixed Capital ◽  
Economic Effects ◽  
Pension Scheme ◽  
Retirement Age ◽  
Working Age ◽  
Working Age Population ◽  
Long Term Forecasting ◽  
The Impact

The presented study considers the susceptibility of gross domestic product (GDP) production to a shift in the number of the working-age population due to an increase in retirement age starting with 2019.Aim. The study aims to examine the quantitative assessments of GDP production in Russia with allowance for the changes in the number of the working-age population due to an increase in the actual retirement age.Tasks. The authors forecast the number of the working-age population with allowance for an increase in the retirement age; develop a model to establish a correlation between the number of the workingage population, investment in fixed capital, and GDP production; quantify the impact of the shift in the number of the working-age population on GDP production in Russia. Methods. This study is based on the results of modeling and long-term forecasting.Results. An economic-mathematical model to establish a correlation between the number of the working-age population, investment in fixed capital, and GDP production is presented. To specify the economic effects of a shift in the number of the working-age population due to an increase in the retirement age, Russia’s GDP production is forecasted for the “old” and “new” (increased retirement age) pension scheme. The forecast is provided for three variants of the number of the working-age population.Conclusions. It is found that with the “old” pension scheme with a lower retirement age GDP production across all three variants will decrease by 2036 compared to 2017. With regard to the “new” scheme that increases the retirement age, it is concluded that an increase in the retirement age is a factor that facilitates GDP production. However, its effect on economic growth will be insignificant.

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