• Corpus ID: 235358713

Estimating the number of entities with vacancies using administrative and online data

  title={Estimating the number of entities with vacancies using administrative and online data},
  author={Maciej Berkesewicz and Herman Cherniaiev and Robert Pater},
In this article we describe a study aimed at estimating job vacancy statistics, in particular the number of entities with at least one vacancy. To achieve this goal, we propose an alternative approach to the methodology exploiting survey data, which is based solely on data from administrative registers and online sources and relies on dual system estimation (DSE). ∗The authors thank Kamil Wilak, Joanna Napierała, Teresa Królikowska, Leszek Kozłowski, Matyas Meszaros, Grzegorz Grygiel and… 


On the estimation of population size under dependent dual-record system: an adjusted profile-likelihood approach
Motivated by various applications in epidemiology, population studies, criminology, etc., the problem of estimating size of a homogeneous human population based on two-sample capture–recapture
Sensitivity of Population Size Estimation for Violating Parametric Assumptions in Log-linear Models
Abstract An important quality aspect of censuses is the degree of coverage of the population. When administrative registers are available undercoverage can be estimated via capture-recapture
An improved estimator of omission rate for census count: With particular reference to India
ABSTRACT Every large census operation should undergo evaluation programs to find the sources and extent of inherent coverage errors. In this article, we briefly discuss the statistical methodology to
Coverage Evaluation on Probabilistically Linked Data
An extension of the Ding and Fienberg model by relaxing their conditions is proposed, and the procedures are illustrated for estimating the total number of road casualties, on the basis of a probabilistic record linkage between two administrative data sources.
Measuring the Impacts of Covid-19 on Job Postings in Australia Using a Reweighting-Estimation-Transformation Approach
We propose a reweighting-estimation-transformation (RWET) approach to estimate the impacts of COVID-19 on job postings in Australia. Contrary to the commonly used aggregation-based method on counting
Connecting Correction Methods for Linkage Error in Capture-Recapture
A further generalization is introduced that includes both previously mentioned correction methods and at the same time deals with registers of different sizes and shows that the parameters of each method can be chosen such that the resulting estimates all equal the traditional Petersen estimate that would theoretically be obtained under truly perfect linkage.
People born in the Middle East but residing in the Netherlands: Invariant population size estimates and the role of active and passive covariates
Including covariates in loglinear models of population registers improves population size estimates for two reasons. First, it is possible to take heterogeneity of inclusion probabilities over the
On Modelling Register Coverage Errors
Attention is primarily given to model interpretations and conditions under which a model may provide a plausible basis for estimation and uncertainty evaluation and potential application to census coverage-error adjustment is discussed.
On the estimation of population size from a post-stratified two-sample capture–recapture data under dependence
This article proposes a novel model that successfully incorporates the possible causal dependency and provides corresponding estimation methodologies for the associated model parameters based on post-stratified two-sample capture–recapture data.
Transforming Naturally Occurring Text Data into Economic Statistics: The Case of Online Job Vacancy Postings
Using a dataset of 15 million UK job adverts from a recruitment website, we construct new economic statistics measuring labour market demand. These data are ‘naturally occurring’, having originally