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 report provides details on the sampling design, the fieldwork, as well as nonresponse and population adjustments for the 2024 sample M8d of the IAB-SOEP-Migration Survey. The survey is conducted in cooperation between the Institute for Employment Research (IAB) and the Socio-Economic Panel...

We examine how functional-form assumptions affect conclusions about the existence of satiation in the relationship between income and emotional well-being. Previous studies have estimated a piecewise log-linear model with one structural break in both intercept and slope, which may lead to...

Purpose - We propose a method to build confidence sets for the solutions of stochastic discrete optimization problems solved through the sample average approximation method. Design/methodology/approach - By combining the concept of Model Confidence Set (MCS) with shrinkage estimation of large...

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...

Purpose: This study examines the quick switching sampling (QSS) system. This well-established sampling scheme incorporates two single sampling plans (SSPs) with adaptive transition rules between normal and tightened inspections. The QSS system dynamically adjusts inspection stringency in...

Purpose: This research proposed dependent sampling plan incorporating mixed acceptance criteria for entrance quality control of corn kernels, a primary material in the feed manufacturing industry. Mathematical models are involved to determine the alternative samplin plan based on allowable risk...

Qualitativ hochwertige Daten sind der Schlüssel dazu, die aktuelle Situation während einer Pandemie zu verstehen. Eine Simulation zur COVID-19-Pandemie zeigt, dass die Datenstrategie zur Erfassung von Infektionszahlen von der Prävalenz abhängt. Ist die Prävalenz nahe Null, liefert ein...

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...

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...

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...

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...