Search Results - subject_exact:"Statistisches Verfahren"

IAB-SOEP-Migration - 2024 : sampling, nonresponse, and weighting of the sample M8d

Steinhauer, Hans Walter; Trübswetter, Parvati; Fendel, … - 2026

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...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015617990

Multidimensional measures of quality of life : a comparison of methods using U.S. county-level data

Cheng, Yang; Conroy, Tessa; Deller, Steven C. - 2026

There are numerous measures of place-based quality of life, accompanied by ongoing debate over which factors should be included. Past studies have predominately relied on aspatial, subjectively weighted combinations of different place-based characteristics. Little attention has been given to the...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015638967

Precise asymptotics for the norm of large random rectangular Toeplitz matrices

Onatski, Alexei - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015655592

An accuracy-level method for robust evaluation in predictive analytics

Agustini, Mety; Fithriasari, Kartika; Prastyo, Dedy Dwi - 2026

Evaluation metrics are essential in selecting the most appropriate predictive model. Conventional metrics such as R-squared, root mean squared error (RMSE), and mean absolute percentage error (MAPE) rely on arithmetic averages, making them sensitive to outliers, undefined values, and scale...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015652207

Testing the normality assumption in an ordered probit model using an artificial regression : some results for the LM-test

Wilde, Joachim; Forstinger, Sarah - 2026

The key assumption of normally distributed error terms is usually not tested in empirical practice when using ordered probit models. Therefore, an artificial regression version of the LM test against the class of Pearson distributions is derived that can be implemented more easily than the...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015615792

Multivariate statistical analysis of the seismic activity in Morocco using PCA and K-Means clustering

Baraka, Achraf Chakir; Baraka, Kaoutar; Rahmaoui, Mehdi; … - 2026

The rise in seismic waves in Morocco within the last five years prompted an accurate multivariate analysis based on such statistical methods as the classification by the K-Means algorithm and principal component analysis (PCA) of seismic wave quantitative variables for Morocco. The adopted...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015667510

Modeling data with nonlinear LogNormal-Pareto regression via the approximate Bayesian computation

Aminzadeh, Mostafa S. - 2026

The development of regression models for composite distributions has received insufficient attention in the literature. The purpose of this research is to provide maximum likelihood (ML) and approximate Bayesian computation (ABC) estimators for the parameters of a regression model with a...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016059163

On local overidentification and efficiency gains in modern causal inference and data combination

Chen, Xiaohong; Xie, Haitian - 2026 - Revised version: March 1, 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015616461

Designing robust electronic surveys in marketing research

Crick, James M.; Crick, David - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015547051

Beyond GDP : the case for a real-time barometer of economic activity in South Africa

Fourie, Helanya; Fourie, Johan - 2026

This paper makes the case for measuring economic activity in real time in a middle-income setting using indicators alternative to the standard System of National Accounts measure of gross domestic product (GDP). GDP remains indispensable, yet its limits as a welfare proxy are amplified where...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015580310

Small area consumption estimates combining survey and financial footprints data

Levell, Peter; Nesheim, Lars; Vyas, Gautam - 2026

We use small-area estimation methods that combine information from a household budget survey, a much larger survey of local demographics and employment, and area-level information on bank account outflows and energy consumption to estimate average equivalized consumption measures across 367...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015669051

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Small area consumption estimates combining survey and financial footprints data

Levell, Peter; Nesheim, Lars; Vyas, Gautam - 2026

Book / Working Paper

Ratio bias across cultures and disciplines : how academic background shapes statistical decision-making

Baumeister, Jochen; Streicher, Bernhard; Lermer, Eva - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015372165

A novel lift adjustment methodology for improving association rule interpretation

Sowan, Bilal; Zhang, Li; Matar, Nasim; Zraqou, J.; … - 2025

Association rules can offer a human-interpretable insight extracted from data. The lift measures used for evaluating association rules in classical Association Rule Mining (ARM) contexts are mainly based on traditional and well-known ones but suffer from interpretation inadequacy when dealing...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015420467

Labour force survey in Poland, 1995-2020 : a proposal for data revision

Domitrz, Adrian; Zajkowska, Olga - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015638022

Linear regression with weak exogeneity

Mikusheva, Anna; Sølvsten, Mikkel - 2025

This paper studies linear time‐series regressions with many regressors. Weak exogeneity is the most used identifying assumption in time series. Weak exogeneity requires the structural error to have zero conditional expectation given present and past regressor values, allowing errors to...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015423082

Fine-Scale Spatial Disaggregation of Statistical Data via Graph Neural Networks

Lee, Kamwoo; Blankespoor, Brian; Newhouse, David - 2026

Fine-grained spatial data are critical for informed decision-making in domains ranging from economic planning to environmental management. However, many statistics are only available for coarse administrative units, necessitating techniques for fine-scale spatial disaggregation. This paper...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015641144

Are revisions to state-level GDP data in the US well behaved?

Mitchell, James; Shiroff, Taylor - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015467256

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Are revisions to state-level GDP data in the US well behaved?

Mitchell, James; Shiroff, Taylor - 2025

Book / Working Paper

The value of reliable statistics

Bloom, Nicholas; Groshen, Erica L.; Hobbs, Duncan R.; … - 2026

On August 1, 2025, President Trump fired the head of the U.S. Bureau of Labor Statistics (BLS) and claimed that the agency's data were "rigged." In the aftermath, measures of economic policy uncertainty rose sharply, consistent with the idea that reduced trust in official data increases...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015641440

Inclusive income accounts : practical measures to go beyond GDP

Heys, Richard; Taylor, Cliodhna - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015474081

Comptabilite distributionnelle : contexte, resultats, limites et enjeux

Garbinti, Bertrand; Goupille-Lebret, Jonathan - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015644072

Evaluating Alternative Approaches to Small Area Estimation of Poverty with Survey and Census Data

Dang, Hai-Anh H.; Do, Minh; Gualavisi, Melany; Kilic, Talip - 2026

This paper uses five rounds of Mexican and Brazilian census extracts to evaluate the accuracy of different model specifications and estimation methods that use survey and census data to generate small area estimates of poverty. Models that utilize more granular data for prediction (household-...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015655963

Application of Statistical Disclosure Control methods to protect the confidentiality of the 2020 agricultural census microdata

Młodak, Andrzej; Józefowski, Tomasz - 2025

In this paper, we describe an attempt made to develop an efficient disclosure control algorithm for microdata in a statistical portal used for releasing detailed statistical information at various levels of spatial aggregation. The proposed algorithm is based on perturbative methods, such as...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015447225

Imputing household expenditure for indirect tax simulation : extending SWISSMOD using statistical matching

Anderl, Robin; Kirn, Tanja; Oschwald, Patrick - 2026

Indirect taxes such as value-added tax (VAT) and environmental levies play a growing role in fiscal and distributional policy in Switzerland, yet existing microsimulation tools lack the consumption information required to analyse their incidence. This paper closes this gap by extending SWISSMOD...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015672840

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Imputing household expenditure for indirect tax simulation : extending SWISSMOD using statistical matching

Anderl, Robin; Kirn, Tanja; Oschwald, Patrick - 2026

Book / Working Paper

Households' invisible input to the economy : a review of its measurement methods and results

Marszałek, Marta - 2025

Unpaid domestic work is the main part of non-market household production which is not covered by national statistics (GDP). The monetary value of unpaid work is identified within the gross value added (GVA), which is 60-80% of (the invisible) non-market household production. GVA of unpaid work...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015447283

Ratio regression type estimators of the population mean for missing data in sample surveys

Garg, Prachi; Srivastava, Namita; Srivastava, Manoj Kumar - 2025

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...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015447287

Toward economics statistics on : own-account data and databases assets for 1997-2024

Calderón, José Bayoán Santiago - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015653279

IAB-SOEP-Migration - 2024 : sampling, nonresponse, and weighting of the sample M10

Steinhauer, Hans Walter; Siegers, Rainer; Süttmann, Felix - 2026

This paper provides details on the sampling design, the fieldwork, as well as nonresponse and population adjustments for the 2024 sample M10 of the IAB-SOEP-Migration survey. The survey is conducted in cooperation between the Institute for Employment Research (IAB) and the Socio-Economic Panel...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015633095

Balance of payments : part of the system of official statistics

Radermacher, Walter - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015431733

The eternal quest for quality in official

Schubert, Aurel - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015431779

SOEP-Core - 2024 : sampling, nonresponse, and weighting in sample S

Steinhauer, Hans Walter; Siegers, Rainer; Süttmann, Felix - 2026

Sample S is the 2024 refreshment sample of the SOEP-Core. We applied a stratified two-stage cluster sampling design to draw a sample of anchor persons from the German population register. The sample adds 5,314 new households to the panel. Potential selectivity in participation is corrected by...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015633096

Statistics and beyond: new data for decision making in central banks : proceedings of the 12th biennial IFC Conference on "Statistics and beyond: new data for decision making in central banks", at the BIS in Basel, on 22-23 August 2024

2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015633758

Evidence-based policies and data quality : what is missing?

Münnich, Ralf T. - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015431780

Journal of Business Research publications 1973-2024 : topics, methodological approaches, data, and analyses conducted

Kopalle, Praveen K.; Lehmann, Donald R.; Ramachandran, Divya - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015432079

Encuestas de posenumeración censal : fundamentos estadísticos para su diseño y análisis

Gutiérrez, Andrés; Babativa-Márquez, Giovany - 2026

Sin duda, la operación estadística más exigente que realizan los Institutos y Oficinas Nacionales de Estadística en los países son los censos de población y vivienda, los cuales se diseñan, entre otros fines, para empadronar y enumerar a todos y cada uno de los habitantes de un país....

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015640497

Statistical process control for queue length trajectories using Fourier analysis

Morgan, Lucy E.; Barton, Russell R. - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015433236

Sufficient statistics for economic mobility : when do measures agree?

McGee, Rory - 2026

Empirical studies of intergenerational mobility use different statistics - elasticities, rank-rank slopes, transition matrices, axiomatic indices - that sometimes produce conflicting conclusions. I show that a single property determines when they agree: concordance, capturing how rank-preserving...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015669766

Bayesian contiguous Gaussian and generalized linear dynamic models on graphs : theory, computation, and simulation

Stival, Mattia; Tonellato, Stefano F. - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015670865

De-emphasizing statistical significance

Mitton, Todd - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015435588

Statistical proxy based mean-reverting portfolios with sparsity and volatility constraints

Mousavi, Ahmad; Michilidis, George - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015459091

On the rates of convergence of induced ordered statistics and their applications

Bugni, Federico A.; Canay, Ivan A.; Kim, Deborah - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015672963

Data quality and representativeness of older respondents in the HILDA Survey

Watson, Nicole; Nesa, Mossamet Kamrun - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015562957

Fusing Data Sources to Measure Multidimensional Poverty

Brunckhorst, Ben J.; Dang, Hai-Anh; Lakner, Christoph; … - 2026

Multidimensional poverty metrics offer a more complete picture of poverty than monetary poverty, yet their adoption has been limited by data constraints. Often not all dimensions in a multidimensional measure are observed in the same survey, leading to countries being excluded from global...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015673038

Multivariate two-sample permutation test with directional alternative for categorical data

Bonnini, Stefano; Borghesi, Michela - 2025

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...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015506715

Testing models with fat tails via indirect inference

Minford, Patrick; Meenagh, David - 2026

Fat tails can in principle undermine the power of the standard indirect inference test. We examine this issue with Monte Carlo experiments, first for a New Keynesian model solved by the nonlinear algorithm method of Fair and Taylor. Here we find that the standard test has its usual high power,...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015672849

UK national productivity trends : getting the data right

Barbas, Niki; Valero, Anna; Van Reenen, John - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015676375

Normality tests for transformed large measured data : a comprehensive analysis

Feyo Bantu, Abu; Kozyra, Andrzej; Wiora, Józef - 2025

In statistical analysis, evaluating the normality of large datasets is crucial for validating parametric tests, particularly in areas such as Global Navigation Satellite System (GNSS) measurements, where data often exhibit non-normal characteristics resulting from their variability and errors....

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015506716

Specification testing with many auxiliary statistics

Antoine, Bertille; Tetteh, Richmond - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015676279

An optimal imputation algorithm for reducing bias and errors in missing data handling for AI models

Sebastian, Anu Maria; Peter, David; Sebastian, Rinu Ann - 2025

Data is an essential fuel for artificial intelligence (AI) to power the underlying machine learning (ML) algorithms. Missing data is common in most real-world datasets due to measurement errors, non-responses, and human errors during the data collection, which can ultimately lead to reduced...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015506770

Synthetic data terminology in official statistics

Turner, Rosanne J.; Stoel, Reinoud; Wolf, Peter-Paul de - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016060740

Imputation strategies for rightcensored wages in longitudinal datasets

Drechsler, Joerg; Ludsteck, Johannes - 2025

Censoring from above is a common problem with wage information as the reported wages are typically top-coded for confidentiality reasons. In administrative databases the information is often collected only up to a pre-specified threshold, for example, the contribution limit for the social...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015594016