Suchergebnisse

Microdata Information System - MISSY

In this paper, the author aims to describe the dissemination of microdata from the population census by National Statistical Offices. This type of data is highly confidential, and approaches to protection vary across the world. National Statistical Offices mostly strive to publish their data as much as possible, but they are bounded by national and international laws to protect the personal data of respondents. The primary goal is mapping the differences between countries and their categorization. Different approaches to microdata availability are described, and various data access approaches are depicted. The information was obtained from publicly available documentation and a survey in which selected statistical offices were contacted. Discovered were that of the 223 countries (including dependent territories), 100 countries have made microdata available for the scientific community, with 30 countries also providing microdata access to the public. This paper presents a mapped overview and aggregated information on the publication of microdata of the population census from around the world.

In this paper a model is developed for assesing disclosure risks of a microdata set. It is an extension of the one presented in Bethlehem et al. (1988). It is used to calculate (an upper bound of) the risk that an investigator is able to reidentify at least one individual in an anonimyzed data set, and hence discloses some sensitive information about him. This risk is shown to depend on, among other things, two variables which can be controlled by the statistical office which is disseminating such a data set: the 'coarseness' of the key variables and the size of the data set. The model yields guidelines as to the usage of these two instruments to control the disclosure risk.

"The objective of this book is to make a link between existing quantitative approaches... and the manner in which we can generalize thess approaches to cases where the available data for analysis have a spatial dimension."--

This book provides an introduction to spatial analyses concerning disaggregated (or micro) spatial data. Particular emphasis is put on spatial data compilation and the structuring of the connections between the observations. Descriptive analysis methods of spatial data are presented in order to identify and measure the spatial, global and local dependency. The authors then focus on autoregressive spatial models, to control the problem of spatial dependency between the residues of a basic linear statistical model, thereby contravening one of the basic hypotheses of the ordinary least squares approach. This book is a popularized reference for students looking to work with spatialized data, but who do not have the advanced statistical theoretical basics.

Enhancing microdata access is one of the strategic priorities for the Australian Bureau of Statistics (ABS) in its transformation program. However, balancing the trade-off between enhancing data access and protecting confidentiality is a delicate act. The ABS could use synthetic data to make its business microdata more accessible for researchers to inform decision making while maintaining confidentiality. This study explores the synthetic data approach for the release and analysis of business data. Australian businesses in some industries are characterised by oligopoly or duopoly. This means the existing microdata protection techniques such as information reduction or perturbation may not be as effective as for household microdata. The research focuses on addressing the following questions: Can a synthetic data approach enhance microdata access for the longitudinal business data? What is the utility and protection trade-off using the synthetic data approach? The study compares confidentialised input and output approaches for protecting confidentiality and analysing Australian microdata from business survey or administrative data sources.

Abstract
This article proposes a strategy to identify Syrian refugees in Turkey's Household Labour Force Survey (HLFS). Even though Turkey's HLFS contains information on the migrants' year of arrival to Turkey, it does not provide details on their nationalities. This unfortunate feature mixes Syrian refugees with the standard flow of migration who arrived to Turkey during the Syrian war. I propose to eliminate the standard flow of migrants arrived between 2011 and 2017 by matching them (based on their characteristics) with the migrants arrived in the 2004–2010 period. This method obtains, indirectly, nonstandard migration, i.e., Syrian refugees. The results show that the age distribution of the nonstandard migrants identified matches the age distribution of Syrian refugees as officially released by the Turkish government. At last, I propose a post-stratification adjustment of the survey weights to find the actual geographical distribution of Syrian refugees in Turkey.

We examine the effect of firm profits on wages for individual workers while focusing on the empirical complications associated with estimating the extent of rent-sharing. Controlling for worker and firm fixed-effects and using several instruments to deal with the endogeneity of profits, we report results indicating that OLS-estimates strongly underestimate the effects of profits on wages. Moreover, the effect of profits on wages are estimated separately for firms with increasing and decreasing profits within a given time period. We find a positive and stable effect only in firms with increasing profits. This is in line with the idea that falling profits do not lead to wage cuts while increasing profits imply higher wages.

Der Bericht dokumentiert die Arbeiten des German Microdata Lab, dem Servicezentrum für amtliche Mikrodaten der GESIS, für das Jahr 2010. Das German Microdata Lab ist eine Serviceeinrichtung der Sozialforschung und vertritt deren Interessen gegenüber der amtlichen Statistik. Als Einrichtung der Sozialforschung ist das GML unabhängig von Statistischen Ämtern und anderen Datenproduzenten und wirkt als Vermittlungsstelle zwischen empirischer Sozialforschung und
amtlicher Statistik.