Temat: estimates - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Biomass estimates of commercial fishes in the South Georgia region (by "swept area" method)
Autorzy:: Mucha, Mirosław
Powiązania:: https://bibliotekanauki.pl/articles/2057457.pdf
Data publikacji:: 1984
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: Antarctic
South Georgia
commercial fishes estimates
Źródło:: Polish Polar Research; 1984, 5, 1-2; 107-111
0138-0338
2081-8262
Pojawia się w:: Polish Polar Research
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Estimation of fertility in Poland and of Polish born women in the United Kingdom
Autorzy:: Gołata, Elżbieta
Powiązania:: https://bibliotekanauki.pl/articles/1827714.pdf
Data publikacji:: 2016-06-10
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: Population Census Quality
Population Estimates
Polish Migration
Migrant Fertility
Usually Resident Population
Opis:: The aim of research presented in the paper is to explore the comparison of Total Fertility Rates of Polish women in England and Wales, with the rates for Polish women who are residents in Poland. Population censuses in Poland and the United Kingdom in 2011 provide information for such comparisons and show higher fertility rates of Polish women abroad than in Poland. Two specific questions were investigated. The first one is the question of the number of children born in Poland. It was observed that the number estimated on the basis of census data was not consistent with birth records in the register. The second question concerns the number of the usually resident population in Poland. We provide quality assessment of 2011 population census in Poland, estimates of actual and usually resident population. Based on thorough evaluation, a correction of the population estimates is proposed (RAF). Due to non-response and data omissions, the idea of Small Domain Estimation is applied with two a priori age and sex distributions: from the Polish Census Survey and upon the UK census. Fertility in Poland is estimated with regard to usually resident population published on the Census Hub, our RAF estimates and LFS data. The estimates of women at reproductive age differ for over 495,000, what cause certain discrepancies in TFR. Additionally we analyse changes in timing of birth and provide tempo adjusted TFR. The paper shows consequences of population estimates for measuring fertility. It was found that depending on the population estimates TFR in Poland differs from 1.31 for actual population to 1.45 for RAF estimates and 1.63 for tempo-adjusted TFR. Via detailed empirical examination of the usually resident population estimates in Poland we show inconsistencies resulting from the flexibility in interpretation of definitions given by EU 1260/2013 and specific regulations of individual countries.
Źródło:: Studia Demograficzne; 2016, 169, 1; 13-38
0039-3134
Pojawia się w:: Studia Demograficzne
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Accounting for Spatial Heterogeneity of Preferences in Discrete Choice Models
Autorzy:: Budziński, Wiktor
Czajkowski, Mikołaj
Powiązania:: https://bibliotekanauki.pl/articles/2075414.pdf
Data publikacji:: 2021
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: discrete choice experiment
discrete choice models
individual-, region- and population-level parameter estimates
spatial preference heterogeneity
Opis:: There are reasons researchers may be interested in accounting for spatial heterogeneity of preferences, including avoiding model misspecification and the resulting bias, and deriving spatial maps of willingness-to-pay (WTP), which are relevant for policy-making and environmental management. We employ a Monte Carlo simulation of three econometric approaches to account for spatial preference heterogeneity in discrete choice models. The first is based on the analysis of individual-specific estimates of the mixed logit model. The second extends this model to explicitly account for spatial autocorrelation of random parameters, instead of simply conditioning individual-specific estimates on population-level distributions and individuals’ choices. The third is the geographically weighted multinomial logit model, which incorporates spatial dimensions using geographical weights to estimate location-specific choice models. We analyze the performance of these methods in recovering population-, region- and individual-level preference parameter estimates and implied WTP in the case of spatial preference heterogeneity. We find that, although ignoring spatial preference heterogeneity did not significantly bias population-level results of the simple mixed logit model, neither individual-specific estimates nor the geographically weighted multinomial logit model was able to reliably recover the true region- and individual-specific parameters. We show that the spatial mixed logit proposed in this study is promising and outline possibilities for future development.
Źródło:: Central European Journal of Economic Modelling and Econometrics; 2021, 1; 1-24
2080-0886
2080-119X
Pojawia się w:: Central European Journal of Economic Modelling and Econometrics
Dostawca treści:: Biblioteka Nauki

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