Disclosure Risk and Disclosure Avoidance for Microdata

Under given concrete exogenous conditions, the fraction of identifiable records in a microdata file without positive identifiers such as name and address is estimated. The effect of possible noise in the data, as well as the sample property of microdata files, is taken into account. Using real microdata files, it is shown that there is no risk of disclosure if the information content of characteristics known to the investigator (additional knowledge) is limited. Files with additional knowledge of large information content yield a high risk of disclosure. This can be eliminated only by massive modifications of the data records, which, however, involve large biases for complex statistical evaluations. In this case, the requirement for privacy protection and high-quality data perhaps may be fulfilled only if the linkage of such files with extensive additional knowledge is prevented by appropriate organizational and legal restrictions.     

Using rapid city surveys to inform municipal social policy—an application in Cali, Colombia

Many developing countries assign local governments increasing responsibilities in fighting poverty. This requires local social policy to go beyond the execution of centrally designed and funded education and health programs. Hence, local governments and their partners have both an opportunity and a need to analyze key local bottlenecks for poverty reduction and social development. Drawing on an example from Cali, Colombia, this paper describes a tool for such policy formulation at the local level, a rapid city household survey. Although the survey uses pre-coded and closed ended questions, it is contextual in the sense that it is tailor-made to social and economic conditions in Cali. The survey places particular emphasis on collecting both key quantitative information, like household welfare and service access, as well as qualitative information, such as service evaluations and population priorities. Combining the quantitative and qualitative data allows, e.g., to map population budget priorities or service satisfaction levels by welfare group. With costs of the survey moderate and turnover time short, rapid city household surveys could provide an important tool for the development of local social policies.     

Demography and gender regimes: The case of Italians and ethnic traditions

In proposing measures that might improve adverse projected population futures, many demographers have endorsed feminist demands for family-friendly social policies and gender equity in the home. This paper provides a constructive critique of some versions of this argument. Without presenting new empirical data, it makes a case for the use of alternative conceptual tools in study design. It does so by focusing on three underpinnings of claims that fertility is lowest in countries with the greatest disparity between public and private patriarchy. Using Italy and Italians as an example, the paper discusses empirical measurements of the domestic division of labour, depictions of Italian family traditions and theorizations of family dynamics more generally, and wider understandings of modernity and tradition, both on the canvas of grand theory and within ethnographies of Italian families. The paper concludes with examples of studies that use the suggested conceptual framework.     

Estimating Engel curves: a new way to improve the SILC-HBS matching process using GLM methods

Microdata are required to evaluate the distributive impact of the taxation system as a whole (direct and indirect taxes) on individuals or households. However, in European Union countries this information is usually distributed into two separate surveys: the Household Budget Surveys (HBS), including total household expenditure and its composition, and EU Statistics on Income and Living Conditions (EU-SILC), including detailed information about households'' income and direct (but not indirect) taxes paid. We present a parametric statistical matching procedure to merge both surveys. For the first stage of matching, we propose estimating total household expenditure in HBS (Engel curves) using a GLM estimator, instead of the traditionally used OLS method. It is a better alternative, insofar as it can deal with the heteroskedasticity problem of the OLS estimates, while making it unnecessary to retransform the regressors estimated in logarithms. To evaluate these advantages of the GLM estimator, we conducted a computational Monte Carlo simulation. In addition, when an error term is added to the deterministic imputation of expenditure in the EU-SILC, we propose replacing the usual Normal distribution of the error with a Chi-square type, which allows a better approximation to the original expenditures variance in the HBS. An empirical analysis is provided using Spanish surveys for years 2012–2016. In addition, we extend the empirical analysis to the rest of the European Union countries, using the surveys provided by Eurostat (EU-SILC, 2011; HBS, 2010).     

Using experts’ consensus (the Delphi method) to evaluate weighting techniques in web surveys not based on probability schemes

Weighting techniques in web surveys based on no probability schemes are devised to correct biases due to self-selection, undercoverage, and nonresponse. In an interactive panel, 38 survey experts addressed weighting techniques and auxiliary variables in web surveys. Most of them corrected all biases jointly and applied calibration and propensity score adjustments. Although they claimed that sociodemographic and web-related variables are the most useful auxiliary variables to employ in adjustments, they considered only sociodemographic variables to correct biases because of their availability.     

Research report: a software solution for rapid policy assessment with reimbursed SMS and mobile cash

In this report, we introduce a system for running reimbursed surveys via text messages and mobile cash. The key advantage of this approach is the ability to conduct rapid surveys at an extremely low cost. After reviewing existing literature, we describe an automated system for conducting such surveys and demonstrate its merits in a proof-of-principle application in India. We obtain substantive insights on the effectiveness of a policy trial that are in line with expert assessments. This application suggests that our approach can be applied to a wide range of problems including impact assessment for policy or developmental aid, and monitoring of public sentiment, and possibly monitoring of conflict dynamics.     

Testing different rank order question layouts for PC and smartphone respondents

We studied the impact of different layouts for rank order questions on respondent effort, data quality, and substantive results among PC and smartphone respondents, in an experiment in an opt-in online panel in Spain, using an order-by-click design. We experimentally varied the device, the number of columns, and, for smartphone respondents, the position of the ‘next’ button in questions on trust in institutions.

We found some evidence of lower data quality for smartphone users but no evidence that presenting ranking items in one column performs differently than two columns. We also find little evidence that these effects differ by the number of response options presented or the number to be ranked. The placement of the ‘next’ button had little effect on performance on ranking items. Overall, our findings suggest that the format and layout of order-by-click questions has little effect on data quality, regardless of device used.     

When near means related: evidence from three web survey experiments on inter-item correlations in grid questions

In this article, we present the results of three question design experiments on inter-item correlations, which tested a grid design against a single-item design. The first and second experiments examined the inter-item correlations of a set with five and seven items, respectively, and the third experiment examined the impact of the question design on inter-item correlations of follow-up questions. We found that the inter-item correlations in grid designs were higher for both the set of five and seven items than for questions in a single-item design. Additionally, the inter-item correlations of the set of follow-up questions were higher if the preceding set of questions was presented in a grid. According to the findings of the present research, respondents seem to apply the interpretative near means related heuristic when answering grid questions, and also when answering follow-up questions preceeded by grid questions.     

Sociodemographic and Health-Related Risk Factors Among African-American,Caucasian and Hispanic Homeless Men: A Comparative Study

Data from a 1989-1990 cross-sectional survey of homeless adults in California were stratified by ethnicity to examine whether adverse childhood events and adult medical disorders preceding homelessness differed between 269 African-American, 599 Caucasian, 201 foreign-born Hispanic, and 136 native-born Hispanic men. Although African-Americans were overrepresented (21%) compared with their presence in local (3%) and state (7%) populations, within the homeless they were better educated and more likely to have held white collar jobs than Caucasians or Hispanics. In addition, despite being more likely to grow up in poverty, African-Americans reporled lower prevalences of alcohol and drug abuse, overnight psychiatric hospitalizations, placement in foster care, and physical or sexual abuse than Caucasians. Foreign-born Hispanics were the most likely to have low levels of education and job skills, but were least impaired by adult medical disorders. Native-born Hispanics reported lower rates of adverse childhood events, illegal drug use, and psychiatric hospitalizations than Caucasians, but were most likely among the three ethnic groups to suffer from alcohol abuse. The lower prevalences of adverse childhood events, addictive disorders, and psychiatric hospitalizations among homeless African-Americans, despite their higher representation in absolute numbers, suggests that factors such as childhood poverty may play a disproportionate role in homelessness among this ethnic minority group.     

Improving response to an establishment survey through the use of web-push data collection methods

ABSTRACT

The web-push method has been shown to increase web response rates in general public surveys. Response rates from two waves of the Emergency Medical Services for Children Program’s Performance Measures Survey, a state-administered establishment survey, were compared to determine if the second wave's revised, centralized implementation strategy improved response rates and consistency across states. The centralized strategy included the web-push design; a carefully timed contacts; and a three-month timeline. The results of the centralized web-push method included a higher overall response rate for a three-month period (81.0% compared to 56.6%) as well as greater consistency in results across states.