We propose a new approach to estimate selection-corrected quantiles of the gender wage gap. Our method employs instrumental variables that explain variation in the latent variable but, conditional on the latent process, do not directly affect selection. We provide semiparametric identification...

We propose a new approach to estimate selection-corrected quantiles of the gender wage gap. Our method employs instrumental variables that explain variation in the latent variable but, conditional on the latent process, do not directly affect selection. We provide semiparametric identification...

This paper presents the first formal comparison of Value at risk (VaR) forecasting performance across various high-frequency volatility models and conventional benchmarks using daily data in the crude oil futures market. Our analysis reveals the following key findings:(1) High-frequency data...

BRAC has over 40,000 schools worldwide. It is widely praised for serving disadvantaged students and for matching or outperforming government schools. Using data that we collected from Dhaka's slums, we test these claims. We find that BRAC serves the most disadvantaged students in our survey, but...

Social network platforms like Reddit are increasingly impacting real-world economics. Meme stocks are a recent phenomena where price movements are driven by retail investors organising themselves via social networks. To study the impact of social networks on meme stocks, the first step is to...

This paper presents a distribution-free test, based on the permutation approach, on treatment effects with a multivariate categorical response variable. The motivating example is a typical case-control biomedical study, performed to investigate the effect of the treatment called "assisted motor...

A class of estimators of finite population variance (S_y^2) using auxiliary information has been proposed under simple random sampling without replacement (SRSWOR) scheme. An attempt has been made to derive the minimum variance unbiased estimator of finite population variance from the proposed...

Air quality measurements at industrial locations are intended to assess emission sources typically of the largest magnitude, many of which operate over a long time and are subject to specific permitting rules. Industrial sources represent a significant contribution to the air pollution that...

Quasi-randomization approaches estimate latent participation probabilities for units from a nonprobability / convenience sample. Estimation of participation probabilities for convenience units allows their combination with units from the randomized survey sample to form a survey-weighted domain...

In study described in this article, we developed a memory type estimator for the population mean in stratified successive sampling. We used the past sample information together with the current sample information through hybrid exponentially weighted moving averages statistics. We have also used...

In this article, new ratio regression type estimators with imputation have been proposed as means to overcome the problem of missing data relating to a studied variable in a sample survey. It has been shown that the suggested estimators are more efficient than the mean method of imputation, the...

Reasonably pricing data resources contributes to the development of the digital economy. However, in the early stage of the development of the data market, the data transaction volume is small, and the resulting small sample problem makes it difficult to accurately model and forecast the price...

Die Erhebung der leichten Nutzfahrzeuge, die in diesem Bericht oft als «Lieferwagen» bezeichnet werden, ist eine Erhebung des Bundesamtes für Statistik. Nach 2013 wurde sie im Jahr 2023 erneut als Stichprobenerhebung durchgeführt. Dieser Methodenbericht beschreibt die verwendeten...

This paper outlines the sampling and weighting process for the M9 sample, an augmentation sample for the IAB-BAMF-SOEP Survey of Refugees. It augments the samples M3, M4, M5, and M6 with refugees entering Germany between January 1, 2017, and the August 31, 2022. It also adds refugees from...

We propose a flexible, extensible family of distributions for testing Markov Chain Monte Carlo implementations. Distributions are created by nesting simple transformations, which allow various shapes, including multiple modes and fat tails. The resulting distributions can be sampled with high...

The aim is to identify gaps in the monitoring network for Ireland according to the revised Ambient Air Quality Directive (Directive (EU) 2024/2881). The analysis is conducted considering the data officially reported by Ireland for the last five years (2019-2023) to EEA's Repornet2. Data has been...

The aim is to identify gaps in the monitoring network for Malta according to the revised Ambient Air Quality Directive (Directive (EU) 2024/2881). The analysis is conducted considering the data officially reported by Malta for the last five years (2019-2023) to EEA's Repornet2. Data has been...

The aim is to identify gaps in the monitoring network for Czechia according to the revised Ambient Air Quality Directive (Directive (EU) 2024/2881). The analysis is conducted considering the data officially reported by Czechia for the last five years (2019-2023) to EEA's Repornet2. Data has been...

The aim is to identify gaps in the monitoring network for Belgium according to the revised Ambient Air Quality Directive (Directive (EU) 2024/2881). The analysis is conducted considering the data officially reported by Belgium for the last five years (2019-2023) to EEA's Repornet2. Data has been...

The aim is to identify gaps in the monitoring network for Bulgaria according to the revised Ambient Air Quality Directive (Directive (EU) 2024/2881). The analysis is conducted considering the data officially reported by Bulgaria for the last five years (2019-2023) to EEA's Repornet2. Data has...

The aim is to identify gaps in the monitoring network for Austria according to the revised Ambient Air Quality Directive (Directive (EU) 2024/2881). The analysis is conducted considering the data officially reported by Austria for the last five years (2019-2023) to EEA's Repornet2. Data has been...

The assessment looks into to which extent the current air quality monitoring network in the Member States already complies with the requirements of the revised Ambient Air Quality Directive (EU)2024/2881, with the aim to identify gaps that the Member States would need to address to comply with...

The aim is to identify gaps in the monitoring network for Sweden according to the revised Ambient Air Quality Directive (Directive (EU) 2024/2881). The analysis is conducted considering the data officially reported by Sweden for the last five years (2019-2023) to EEA's Repornet2. Data has been...

The aim is to identify gaps in the monitoring network for Portugal according to the revised Ambient Air Quality Directive (Directive (EU) 2024/2881). The analysis is conducted considering the data officially reported by Portugal for the last five years (2019-2023) to EEA's Repornet2. Data has...

The aim is to identify gaps in the monitoring network for Croatia according to the revised Ambient Air Quality Directive (Directive (EU) 2024/2881). The analysis is conducted considering the data officially reported by Croatia for the last five years (2019-2023) to EEA's Repornet2. Data has been...

The aim is to identify gaps in the monitoring network for Lithuania according to the revised Ambient Air Quality Directive (Directive (EU) 2024/2881). The analysis is conducted considering the data officially reported by Lithuania for the last five years (2019-2023) to EEA's Repornet2. Data has...