Sentence examples for micro datasets from inspiring English sources

Several micro datasets were combined to create the master dataset.

All of the micro datasets were obtained from Statistics Netherlands under a confidentiality agreement10.

However, empirical literature that describes the effects of the Unemployment Insurance System (UIS, hereafter) on unemployment and employment durations and that controls for selection effects is rather limited due to the scarcity of large micro datasets with complete information on labour market histories.

The micro datasets that are used to create our master dataset are as follows: (i) the Social Statistics Database (Sociaal Statistisch Bestand) that is in turn composed of tax data (REOS) and Dutch municipality registrations (GBA); (ii) the Community Innovation Survey (CIS); (iii) the Dutch Labor Force Survey (EBB) (for details see the Appendix).

There are various types of spatial microsimulation models, varying from models which only construct micro datasets to models which use the constructed micro dataset to build future micro datasets and consider future policy changes [ 14].

Regarding healthcare issues, micro datasets have been generated for issues such as obesity, mental disorder, access to general practitioner (GP) services and lifestyle behaviour such as smoking and alcohol consumption [ 9, 13, 15, 16].

Our study is the first to analyze innovation effects of foreign employees by means of a representative micro dataset at the firm level in the Netherlands.

Merging data from four different sources, provided by Statistics Netherlands, we construct and analyze a unique linked employer-employee micro dataset of 4582 firms that includes qualitative information on firm innovation.

Using a unique micro dataset compiled from official real estate registries in Japan, Arito et al (2013) found that the LTV ratio exhibits counter-cyclicality, implying that the increase (decrease) in loan volumes is smaller than the increase (decrease) in land values during booms (busts).

For our empirical investigations, we use a rich micro dataset to estimate the association between income inequality in Swedish municipalities and individual risk of death.

To obtain a spatial micro dataset regarding the estimated demand for care, a synthetic estimation technique was used consisting of two main stages.