Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Outliers and Influential Points01:08

Outliers and Influential Points

5.8K
An outlier is an observation of data that does not fit the rest of the data. It is sometimes called an extreme value. When you graph an outlier, it will appear not to fit the pattern of the graph. Some outliers are due to mistakes (for example, writing down 50 instead of 500), while others may indicate that something unusual is happening. Outliers are present far from the least squares line in the vertical direction. They have large "errors," where the "error" or residual is the...
5.8K
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

205
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
205
Compensation Mechanisms01:28

Compensation Mechanisms

1.8K
The human body employs intricate mechanisms to counteract changes in blood pH, preventing conditions like acidosis (pH < 7.35) and alkalosis (pH > 7.45). These compensatory responses aim to restore normal arterial blood pH by engaging respiratory or renal systems, depending on the source of the imbalance.
Respiratory Compensation
This mechanism addresses metabolic-induced pH imbalances by adjusting breathing rates. Respiratory compensation begins within minutes of detecting a pH...
1.8K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

235
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
235
Econometric Views (EViews)01:29

Econometric Views (EViews)

475
Econometric Views, often stylized as EViews, is a package that merges statistical analysis with econometric studies. It is designed to provide tools for time series analysis, forecasting, and econometric model simulation. The software originated from MicroTSP software and has evolved significantly since its inception in 1981. The history of EViews is marked by a continuous effort to enhance its computational speed and user interface. It was initially developed for large computing systems but...
475
Regression Toward the Mean01:52

Regression Toward the Mean

6.8K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.8K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Reply to Muralidhar et al., Kenny et al., and Hotz et al.: The benefits of engagement with external research teams.

Proceedings of the National Academy of Sciences of the United States of America·2024
Same author

An in-depth examination of requirements for disclosure risk assessment.

Proceedings of the National Academy of Sciences of the United States of America·2023
Same author

Database reconstruction does compromise confidentiality.

Proceedings of the National Academy of Sciences of the United States of America·2023
Same authorSame journal

Male Earnings Volatility in LEHD before, during, and after the Great Recession.

Journal of business & economic statistics : a publication of the American Statistical Association·2023
Same author

National Estimates of Gross Employment and Job Flows from the Quarterly Workforce Indicators with Demographic and Industry Detail.

Journal of econometrics·2011

Related Experiment Video

Updated: Dec 28, 2025

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
08:27

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

7.2K

Modeling Endogenous Mobility in Earnings Determination.

John M Abowd1, Kevin L McKinney2, Ian M Schmutte3

  • 1U.S. Census Bureau and Department of Economics, Cornell University.

Journal of Business & Economic Statistics : a Publication of the American Statistical Association
|February 14, 2020
PubMed
Summary

Job mobility bias affects earnings estimates. Correcting for endogenous mobility reveals more earnings variation from individual and match quality, not just employer effects.

Keywords:
Earnings heterogeneityLatent-type modelMarkov chain Monte CarloMobility bias

More Related Videos

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.6K
A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

10.9K

Related Experiment Videos

Last Updated: Dec 28, 2025

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
08:27

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

7.2K
Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.6K
A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

10.9K

Area of Science:

  • Labor Economics
  • Econometrics
  • Sociology of Work

Background:

  • Fixed-effects models are commonly used to estimate worker and firm heterogeneity in earnings.
  • Endogenous job mobility, where workers move based on unobserved earnings determinants, can bias these estimates.
  • Existing methods often assume exogenous mobility, which may not hold in reality.

Purpose of the Study:

  • To evaluate the bias introduced by endogenous job mobility in earnings heterogeneity estimations.
  • To develop and apply novel diagnostic tests for the exogeneity assumption of job mobility.
  • To propose and implement a new modeling framework that accounts for endogenous mobility.

Main Methods:

  • Utilized longitudinally linked employer-employee data from the U.S. Census Bureau's LEHD infrastructure file system.
  • Developed two residual diagnostic tests to assess the exogeneity of job mobility.
  • Modeled the data as an evolving bipartite graph within a Bayesian latent-type framework to relax the exogeneity assumption.

Main Results:

  • Both diagnostic tests rejected the assumption of exogenous job mobility.
  • The Bayesian latent-type model, accounting for endogenous mobility, increased the explained variation in earnings attributed to individual heterogeneity.
  • Endogenous mobility corrections reduced the proportion of earnings variation attributed to employer and match effects.

Conclusions:

  • Endogenous job mobility significantly biases fixed-effects estimates of earnings heterogeneity.
  • The proposed Bayesian framework effectively models endogenous mobility, providing more accurate estimates of worker and firm effects.
  • Corrected estimates show that match quality and worker quality explain a larger share of revenue per worker variation.