5 citations · 12 across the 10 of their papers we have counts for
10 papers
nonprobsvy -- An R package for modern methods for non-probability surveys
Łukasz Chrostowski, Piotr Chlebicki, Maciej Beręsewicz
The following paper presents nonprobsvy -- an R package for inference based on non-probability samples. The package implements various approaches that can be categorized into three…
Data integration of non-probability and probability samples with deterministic predictive mean matching
Aniela Czerniawska, Piotr Chlebicki, Łukasz Chrostowski +1
We study deterministic predictive mean matching mass imputation estimators to integrate data from probability and non-probability samples. We consider two approaches: predicted-to-…
Quantile balancing inverse probability weighting for non-probability samples
Maciej Beręsewicz, Marcin Szymkowiak, Piotr Chlebicki
The use of non-probability data sources for statistical purposes and for official statistics has become increasingly popular in recent years. However, statistical inference based o…
Survey calibration for causal inference: a simple method to balance covariate distributions
Maciej Beręsewicz
This paper proposes a~simple, yet powerful, method for balancing distributions of covariates for causal inference based on observational studies. The method makes it possible to ba…
A note on joint calibration estimators for totals and quantiles
Maciej Beręsewicz, Marcin Szymkowiak
In this paper, we combine calibration for population totals proposed by Deville and Särndal (1992) with calibration for population quantiles introduced by Harms and Duchesne (2006)…
COVID-19 and the gig economy in Poland
Maciej Beręsewicz, Dagmara Nikulin
We use a dataset covering nearly the entire target population based on passively collected data from smartphones to measure the impact of the first COVID-19 wave on the gig economy…
The gig economy in Poland: evidence based on mobile big data
Maciej Beręsewicz, Dagmara Nikulin, Marcin Szymkowiak +1
In this article we address the question of how to measure the size and characteristics of the platform economy. We propose a~different, to sample surveys, approach based on smartph…
Estimating the number of entities with vacancies using administrative and online data
Maciej Beręsewicz, Herman Cherniaiev, 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…
Estimation of the number of irregular foreigners in Poland using non-linear count regression models
Maciej Beręsewicz, Katarzyna Pawlukiewicz
Population size estimation requires access to unit-level data in order to correctly apply capture-recapture methods. Unfortunately, for reasons of confidentiality access to such da…
Enhancing the Demand for Labour survey by including skills from online job advertisements using model-assisted calibration
Maciej Beręsewicz, Greta Białkowska, Krzysztof Marcinkowski +4
In the article we describe an enhancement to the Demand for Labour (DL) survey conducted by Statistics Poland, which involves the inclusion of skills obtained from online job adver…