Stanislav Kolenikov
Dados Biográficos
| ID | 232065 |
|---|---|
| NOME | Stanislav Kolenikov |
| PRENOMES | Stanislav |
| SOBRENOME | Kolenikov |
| ASSINATURA | KOLENIKOV S |
| AFILIAÇÕES | University of Missouri |
| ORCID | 0000-0003-2977-7326 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 8 |
| TOTAL DE CITAÇÕES | 11 |
| TOTAL COMO AUTOR | 7 |
| TOTAL COMO EDITOR | 1 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 1999 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2014 |
| ÍNDICE H | 1 |
Simulating Distributional Impacts of Macro-dynamics
Simulating Distributional Impacts of Macro-dynamics: Theory and Practical Applications is a comprehensive guide for analyzing and understanding the effects of macroeconomic shocks on income and consumption distribution, as well as using the ADePT Simulation Module. Since real-time micro data is rarely available, the Simulation Module (part of the ADePT economic analysis software) takes advantage of historical household surveys to estimate how cur…
Flexible Work Options and Mothers' Perceptions of Career Harm
Whether or not mothers, who often struggle with balancing work and parenting responsibilities, perceive that they face career harm in exchange for control over flexible work options at their jobs is an unanswered question. Using 2009 original data from a random-digit-dial telephone survey of 441 mothers located across the United States, this study focuses on how control over two latent variables measuring flexibility, flexible work arrangements (…
Testing Negative Error Variances
Heywood cases, or negative variance estimates, are a common occurrence in factor analysis and latent variable structural equation models. Though they have several potential causes, structural misspecification is among the most important. This article explains how structural misspecification can lead to a Heywood case in the population, and provides several ways to test whether a negative error variance is a symptom of structural misspecification.…
Biases of Parameter Estimates in Misspecified Structural Equation Models
We deal with the problem of quantifying the degree to which parameter estimates in a structural equation model can be biased when structural relationships were not specified correctly by the researcher. We propose a framework to relate moment residuals to biases of parameter estimates and the overall noncentrality of the model. For each parameter in the model, an impact of either particular moment residual or the overall model noncentrality can b…
Statistics in the social sciences
"Statistics in the Social Sciences: Current Methodological Developments presents new and exciting statistical methodologies to help advance research and data analysis across the many disciplines in the social sciences. Quantitative methods in various subfields, from psychology to economics, are under demand for constant development and refinement. This volume features invited overview papers, as well as original research presented at the Sixth An…
Socioeconomic Status Measurement With Discrete Proxy Variables
The last several years have seen a growth in the number of publications in economics that use principal component analysis (PCA) in the area of welfare studies. This paper explores the ways discrete data can be incorporated into PCA. The effects of discreteness of the observed variables on the PCA are reviewed. The statistical properties of the popular Filmer and Pritchett (2001 ) procedure are analyzed. The concepts of polychoric and polyserial …
Workers' Heterogeneity and Risk Aversion
Le marché du travail russe
Cet article propose une vision du marché du travail russe permettant d'expliquer la coexistence d'éléments d'inertie et de flexibilité par un phénomène de segmentation. Plaçant l'incertitude au cœur des décisions des firmes et des employés, il montre que les travailleurs, qui ont tous une aversion pour le risque, peuvent adopter des comportements différenciés selon leur productivité relative. Certains, bénéficiant de perspectives favorables, adop…
Testing Negative Error Variances
Heywood cases, or negative variance estimates, are a common occurrence in factor analysis and latent variable structural equation models. Though they have several potential causes, structural misspecification is among the most important. This article explains how structural misspecification can lead to a Heywood case in the population, and provides several ways to test whether a negative error variance is a symptom of structural misspecification.…
Biases of Parameter Estimates in Misspecified Structural Equation Models
We deal with the problem of quantifying the degree to which parameter estimates in a structural equation model can be biased when structural relationships were not specified correctly by the researcher. We propose a framework to relate moment residuals to biases of parameter estimates and the overall noncentrality of the model. For each parameter in the model, an impact of either particular moment residual or the overall model noncentrality can b…
Le marché du travail russe
Cet article propose une vision du marché du travail russe permettant d'expliquer la coexistence d'éléments d'inertie et de flexibilité par un phénomène de segmentation. Plaçant l'incertitude au cœur des décisions des firmes et des employés, il montre que les travailleurs, qui ont tous une aversion pour le risque, peuvent adopter des comportements différenciés selon leur productivité relative. Certains, bénéficiant de perspectives favorables, adop…
Workers' Heterogeneity and Risk Aversion
Socioeconomic Status Measurement With Discrete Proxy Variables
The last several years have seen a growth in the number of publications in economics that use principal component analysis (PCA) in the area of welfare studies. This paper explores the ways discrete data can be incorporated into PCA. The effects of discreteness of the observed variables on the PCA are reviewed. The statistical properties of the popular Filmer and Pritchett (2001 ) procedure are analyzed. The concepts of polychoric and polyserial …
Statistics in the social sciences
"Statistics in the Social Sciences: Current Methodological Developments presents new and exciting statistical methodologies to help advance research and data analysis across the many disciplines in the social sciences. Quantitative methods in various subfields, from psychology to economics, are under demand for constant development and refinement. This volume features invited overview papers, as well as original research presented at the Sixth An…
Biases of Parameter Estimates in Misspecified Structural Equation Models
We deal with the problem of quantifying the degree to which parameter estimates in a structural equation model can be biased when structural relationships were not specified correctly by the researcher. We propose a framework to relate moment residuals to biases of parameter estimates and the overall noncentrality of the model. For each parameter in the model, an impact of either particular moment residual or the overall model noncentrality can b…
Testing Negative Error Variances
Heywood cases, or negative variance estimates, are a common occurrence in factor analysis and latent variable structural equation models. Though they have several potential causes, structural misspecification is among the most important. This article explains how structural misspecification can lead to a Heywood case in the population, and provides several ways to test whether a negative error variance is a symptom of structural misspecification.…
Simulating Distributional Impacts of Macro-dynamics
Simulating Distributional Impacts of Macro-dynamics: Theory and Practical Applications is a comprehensive guide for analyzing and understanding the effects of macroeconomic shocks on income and consumption distribution, as well as using the ADePT Simulation Module. Since real-time micro data is rarely available, the Simulation Module (part of the ADePT economic analysis software) takes advantage of historical household surveys to estimate how cur…
Flexible Work Options and Mothers' Perceptions of Career Harm
Whether or not mothers, who often struggle with balancing work and parenting responsibilities, perceive that they face career harm in exchange for control over flexible work options at their jobs is an unanswered question. Using 2009 original data from a random-digit-dial telephone survey of 441 mothers located across the United States, this study focuses on how control over two latent variables measuring flexibility, flexible work arrangements (…
Econometrics (4 obras) · Mathematics (4 obras) · Statistics (4 obras) · Computer Science (3 obras) · Economics (3 obras) · Business (2 obras) · Earnings (2 obras) · Employment and Welfare Studies (2 obras) · Gender, Labor, and Family Dynamics (2 obras) · Income, Poverty, and Inequality (2 obras)