Towards Unrestricted Public Use Business Microdata: The Synthetic Longitudinal Business Database
John M. Abowd, Ron S. Jarmin, Satkartar K. Kinney, Javier Miranda, Jerome P. Reiter, Arnold P. Reznek
International Statistical Review,
No. 3,
2011
Abstract
In most countries, national statistical agencies do not release establishment-level business microdata, because doing so represents too large a risk to establishments’ confidentiality. One approach with the potential for overcoming these risks is to release synthetic data; that is, the released establishment data are simulated from statistical models designed to mimic the distributions of the underlying real microdata. In this article, we describe an application of this strategy to create a public use file for the Longitudinal Business Database, an annual economic census of establishments in the United States comprising more than 20 million records dating back to 1976. The U.S. Bureau of the Census and the Internal Revenue Service recently approved the release of these synthetic microdata for public use, making the synthetic Longitudinal Business Database the first-ever business microdata set publicly released in the United States. We describe how we created the synthetic data, evaluated analytical validity, and assessed disclosure risk.
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Does temporary employment influence the workrelated training of low-skilled employees?
Eva Reinowski, Jan Sauermann
IWH Discussion Papers,
No. 2,
2008
Abstract
Fixed-term contracts are considerd as one of the most popular instruments of labour market flexibility. Although they provide new labour market options for employer and employees, it is argued that they may lead to decreasing investments in human capital. From the theoretical point of view it is not clear wheter a fixed-term contract is a drawback for the participation in work-related training. The paper deals with the influence of fixed-term contracts on work-related training especially for low-skilled workers. Based on the Micro Census data of 2004, we estimate a bivariate probit model for the probability of fixed-term employment and participating in work-related training. This model enables us to control for selection effects that may arise from unobservable factors. From the estimation results we can conclude that holding a fixed-term contract does not mean a systematical disadvantage for the training probability of low-skilled employees.
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Armut von jungen Erwachsenen in der Bundesrepublik
Eva Reinowski, Christine Steiner
Vierteljahreshefte zur Wirtschaftsforschung,
No. 1,
2006
Abstract
In recent years the youth unemployment rate increased rapidly in Germany and reached the European average. Unemployment is considered as the main poverty risk. But even though the share of social benefit receivers among the youths is above average, youth poverty - unlike child poverty - has been neglected in recent research. Regarding youth, poverty is seen more as a temporary phenomenon. Considering only the standard poverty measure is not enough to figure youth poverty, because one would neglect the personal income situation of the youths. The article´s aim is to combine the equivalised household income and the individual income to find most effected young people. In a further step the socio-demographic factors of those persons are included to draw a more precise picture of the circumstances of poor young people in Germany. The analysis is based on the German Micro Census 2002.
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Prekäre Einkommenslagen in Deutschland: Ein Ost-West-Vergleich 1996 bis 2002
Herbert S. Buscher, Juliane Parys
IWH Discussion Papers,
No. 2,
2006
Abstract
The paper investigates the distribution of equivalence-weighted net household income for West and East Germany, covering the period from 1996 to 2002. The data set used is the annual cross section data set “Mikrozensus”. The main issues of the paper are twofold. First, we analyze standard measures of income distributions as well as measures of inequality. Second, we set up a Logit model to explain relative poorness in East and West Germany using Mikrozensus data to capture household characteristics. The main focus in this section deals with the question how different types of forms of living and the number of children will affect the risk of falling into precarious income situations. The results show that the risk of getting poor is higher for families with children as well as for single persons with children.
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Evaluation of Further Training Programmes with an Optimal Matching Algorithm
Eva Reinowski, Birgit Schultz, Jürgen Wiemers
Swiss Journal of Economics and Statistics,
2005
Abstract
This paper evaluates the effects of further training on the unemployment duration of different groups of persons representing individual characteristics and some aspects of the economic environment. The Micro Census Saxony enables us to include the employment history as a proxy for unobserved variables and to avoid Ashenfelters Dip. We employ an optimal full matching assignment, which is superior to greedy pair matching in the sense that it avoids the loss of observations due to the design of the algorithm. Overall, we find empirical evidence that participation in further training programmes results in even longer unemployment, with only gradual differences.
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Evaluation of Further Training Programmes with an Optimal Matching Algorithm
Eva Reinowski, Birgit Schultz, Jürgen Wiemers
IWH Discussion Papers,
No. 188,
2004
Abstract
This study evaluates the effects of further training on the individual unemployment duration of different groups of persons representing individual characteristics and some aspects of the economic environment. The Micro Census Saxony enables us to include additional information about a person's employment history to eliminate the bias resulting from unobservable characteristics and to avoid Ashenfelter's Dip. In order to solve the sample selection problem we employ an optimal full matching assignment, the Hungarian algorithm. The impact of participation in further training is evaluated by comparing the unemployment duration between participants and non-participants using the Kaplan-Meier-estimator. Overall, we find empirical evidence that participation in further training programmes results in even longer unemployment duration.
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