Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Beręsewicz, Maciej"'
Autor:
Chlebicki, Piotr, Beręsewicz, Maciej
Population size estimation is a major challenge in official statistics, social sciences, and natural sciences. The problem can be tackled by applying capture-recapture methods, which vary depending on the number of sources used, particularly on wheth
Externí odkaz:
http://arxiv.org/abs/2411.11032
The goal of this paper is to develop a multilingual classifier and conditional probability estimator of occupation codes for online job advertisements according in accordance with the International Standard Classification of Occupations (ISCO) extend
Externí odkaz:
http://arxiv.org/abs/2411.03779
In this paper we study predictive mean matching mass imputation estimators to integrate data from probability and non-probability samples. We consider two approaches: matching predicted to predicted ($\hat{y}-\hat{y}$~matching; PMM A) and predicted t
Externí odkaz:
http://arxiv.org/abs/2403.13750
Usage of non-statistical data sources for statistical purposes have become increasingly popular in recent years, also in official statistics. However, statistical inference based on non-probability samples is made more difficult by nature of them bei
Externí odkaz:
http://arxiv.org/abs/2403.09726
Autor:
Beręsewicz, Maciej
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 balance an arbitrary number of quantiles (e.g., medians, quartiles, or d
Externí odkaz:
http://arxiv.org/abs/2310.11969
Autor:
Beręsewicz, Maciej, Szymkowiak, Marcin
In this paper, we combine calibration for population totals proposed by Deville and S\"arndal (1992) with calibration for population quantiles introduced by Harms and Duchesne (2006). We also extend the pseudo-empirical likelihood method proposed by
Externí odkaz:
http://arxiv.org/abs/2308.13281
Autor:
Beręsewicz, Maciej, Nikulin, Dagmara
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 in Poland. In particular, we focus on transportation (Uber, Bolt) and
Externí odkaz:
http://arxiv.org/abs/2107.11124
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 smartphone data, which are passively collected through programmatic systems a
Externí odkaz:
http://arxiv.org/abs/2106.12827
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
Externí odkaz:
http://arxiv.org/abs/2106.03263
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 data may be limited. To overcome this issue we apply and extend the hier
Externí odkaz:
http://arxiv.org/abs/2008.09407