Job Losses, Outsourcing and Relocation: Empirical Evidence Using Microdata Using microdata, we analyse the determinants of firm relocation and outsourcing decisions and their effects on firms’ employment decisions. The results for a sample of 32 countries show that both strategies have been more intense in the EU-15 countries than in the rest and that, in some cases, they have been complementar...

This article introduces IRIS wrapper, which is developed as a Protégé plug-in, to solve an increasingly important problem: extracting information from the product descriptions provided by online sources and structuring this information so that is sharable among business entities, software agents and search engines. Extracted product information is presented in a GoodRelations-compliant ontology...

The European Union is facing the problem of releasing microdata in a multinational setting i.e. microdata stemming from twenty seven member states. Different laws, methodologies, practices and cultural approaches to confidentiality may severely limit the possibility of obtaining comprehensive anonymised data sets. We recall the approach adopted in Europe to design and manage harmonised statisti...

A highly skewed microdata contains some sensitive attribute values that occur far more frequently than others. Such data violates the “eligibility condition” assumed by existing works for limiting the probability of linking an individual to a specific sensitive attribute value. Specifically, if the frequency of some sensitive attribute value is too high, publishing the sensitive attribute alone...

The field of statistical disclosure control aims to reduce the risk re-identifying an individual from disseminated data, a major concern among national agencies. Operations Research (OR) techniques have been widely used in past for protecting tabular but not microdata (i.e., files individuals and attributes). Few papers apply OR microaggregation problem, which is considered one best methods pro...

The paper investigates a method for identifying risky records within a microdata file. The method, Special Uniques Identification, involves inferring population uniqueness for a set of key variables from sample uniqueness for a collapsed form of that key variable set. The method is shown to be useful with being considerably higher probability of than the probability of population uniqueness giv...

This research uses microdata from the 1986 Statistics Canada Family Expenditure S u ~ e y and from the 1986-88 U.S. Consumer Expenditure Survey to estimate equivalence scales using a methodology which is very similar to that employed by Statistics Canada for the estimation of Low-Income Cutoffs. Employing identical sample selection criteria and identically specified models, we find that equival...

The Consumer Expenditure Surveys (CE) program collects expenditure, demographic, and income data from families households. CE held its annual Survey Methods Symposium Microdata Users’ Workshop July 21 to 24, 2020, address CE-related topics in survey methods research, provide free training the structure uses of microdata, explore possibilities for collaboration. Economists program, staff other U...