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Showing 1-20 of 345 results
  1. Endogeneity in stochastic frontier models with 'wrong' skewness: copula approach without external instruments

    Stochastic frontier models commonly assume positive skewness for the inefficiency term. However, when this assumption is violated, efficiency scores...

    Rouven E. Haschka in Statistical Methods & Applications
    Article Open access 03 April 2024
  2. The weak-instruments problem in factor models

    This study considers the instrumental variable estimation of factor models. Specifically, we investigate the weak-instruments problem, which is not...

    Kazuhiko Hayakawa in Behaviormetrika
    Article 01 November 2019
  3. Weak runs in sequences of binary trials

    In the present paper the metric of distance is adapted to a sequence of binary trials and the concept of r -weak runs is introduced and defined. The...

    Spiros D. Dafnis, Frosso S. Makri in Metrika
    Article 09 October 2021
  4. Opportunities, Devices, and Instruments

    What features of the design of an observational study affect its ability to distinguish a treatment effect from bias due to an unmeasured covariate...
    Paul R. Rosenbaum in Design of Observational Studies
    Chapter 2020
  5. A weighted average limited information maximum likelihood estimator

    In this article, a Stein-type weighted limited information maximum likelihood (LIML) estimator is proposed. It is based on a weighted average of the...

    Muhammad Qasim in Statistical Papers
    Article Open access 07 October 2023
  6. Examining Cross-Cultural Value Questionnaires with Quantitative Methods

    Good measurement instruments have to meet certain necessary conditions, especially if they are to be used in cross-cultural research. In this study,...
    Wolfgang Jagodzinski, Kazufumi Manabe, ... Eldad Davidov in Facets of Behaviormetrics
    Chapter 2023
  7. Instruments for Assessing the Role of Commercials on Children’s Food Choices

    Today’s children are highly exposed to media and hence also to food advertising. Various strands of research suggest that exposure to advertising may...
    Chapter 2019
  8. A General Approach to Sensitivity Analysis for Mendelian Randomization

    Mendelian Randomization (MR) represents a class of instrumental variable methods using genetic variants. It has become popular in epidemiological...

    Weiming Zhang, Debashis Ghosh in Statistics in Biosciences
    Article 28 April 2020
  9. Statistical Risk Analysis

    Risk is an inherent quantity in financial markets and is of utmost importance to investors and policymakers. Many methods have been proposed to...
    Rituparna Sen, Sourish Das in Computational Finance with R
    Chapter 2023
  10. Application of Simultaneous Equation in Finance Research: Methods and Empirical Results

    Simultaneous equation models have been widely adopted in finance literature. It is suggested that the relation, particularly the interaction, among...
    John Lee, Jow-Ran Chang, ... Cheng-Few Lee in Essentials of Excel VBA, Python, and R
    Chapter 2023
  11. Global Validity of Assessments: Location and Currency Effects

    As assessments are used in an increasingly multicultural and connected world, there is a growing need to verify that they are equally valid across...
    Ambar Kleinbort, Amy Li, ... Anne Thissen-Roe in Quantitative Psychology
    Conference paper 2024
  12. Nonlinear Estimation Methods for Mendelian Randomization in Genetic Studies

    Mendelian Randomization is a very popular method to estimate causal effects in genomic studies. Recently, there has been much research in...

    Youngjoo Cho, Paul L. Auer, Debashis Ghosh in Sankhya B
    Article 31 August 2023
  13. Instrumental variables in structural equation modelling: an application on the impact of labour factors on health and standard of livings

    Employment is considered a significant determinant of living standards around the globe. For most people, work is the primary source of income, and...

    Eleftherios Giovanis, Oznur Ozdamar in Statistical Methods & Applications
    Article 24 October 2022
  14. Weak identification in probit models with endogenous covariates

    Weak identification is a well-known issue in the context of linear structural models. However, for probit models with endogenous explanatory...

    Jean-Marie Dufour, Joachim Wilde in AStA Advances in Statistical Analysis
    Article 21 April 2018
  15. A Global Flow of Funds Perspective on Debt, Assets, and Imbalances

    This chapter establishes an analytical framework for examining the global flow of funds (GFF); expanding on the concept, research object, and...
    Nan Zhang, Yiye Zhang in Global Flow of Funds Analysis
    Chapter 2024
  16. Instrumentenvariablen

    Für die Schätzung kausaler Effekte werden häufig multiple lineare Regressionsmodelle verwendet, in welchen sehr einfach auf weitere Einflussfaktoren...
    Helmut Farbmacher, Michael Mühlegger in Moderne Verfahren der Angewandten Statistik
    Living reference work entry 2024
  17. Statistics and Data Analysis in a Regression Model

    We make an important transition in this chapter from the focus of the previous two chapters. In Chaps. 3 and...
    Chapter 2023
  18. Model Selection and Regularization

    This chapter presents regularization and selection methods for linear and nonlinear (parametric)Parametric models. These are important Machine...
    Chapter 2023
  19. Relationship Between Students’ Test Results and Their Performance in Higher Education Using Different Test Scores

    The aim of this study is to examine the relationship between students’ college admissions test results and their performance in higher education...
    Marie Wiberg, Juan Li, ... James O. Ramsay in Quantitative Psychology
    Conference paper 2022
  20. Measuring Global Flow of Funds: Methods and Applications

    This Chapter aims to establish a new statistical framework for measuring global flow of funds (GFF) based on its inherent mechanisms. It advances a...
    Nan Zhang in Flow of Funds Analysis
    Chapter 2020
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