Category: Employment

EmployStats Welcomes Ruth Robinson

About Ruth Robinson

Ruth received her Bachelor of Arts in Business Administration and Data Analytics from the University of Baltimore in June 2022. She began working as an intern this past Spring during her final semester. While in college she especially liked taking classes in her elective interests such as real estate and discrete mathematics. She also enjoyed her participation in the Astrobees club, where she competed in a NASA SUITS competition.  

Ruth’s Favorites Include:

Hobbies:

  • Reading
  • Playing Pool
  • Cooking

Types of Movies and Books:

  • Doctor Who
  • Survival and Sci Fi Shows

Favorite Foods:

  • Shrimp and Grits
  • Salmon

Favorite Quote:

  • “Our deepest fear is not that we are inadequate. Our deepest fear is that we are powerful beyond measure. It is our Light, not our Darkness, that most frightens us. We ask ourselves, who am I to be brilliant, gorgeous, talented, fabulous? Actually, who are you not to be? There is nothing enlightening about shrinking so that other people won’t feel unsure around you. We were born to shine, As children do, As we let our own Light shine, We consciously give other people permission to do the same. As we are liberated from our own fear, our presence automatically liberates others.”

We are extremely thrilled to have Ruth on our team. We offer our warmest welcome to our newest team member.

Calculating Damages and Customizing Labor Market Data

In employment and economic damage cases, knowing the plaintiff’s re-employment opportunities and job search efforts is crucial in calculating damages. 

Each plaintiff’s knowledge and responsibilities are used to analyze labor market conditions and supplies. What makes EmployStats unique is our ability to customize and personalize labor market data to best match our plaintiff’s expertise level. We utilize a number of data sources including electronic job search data and public labor data sources such as the U.S. Bureau of labor statistics (BLS) for analyzing labor mitigation cases.

Obtaining this information based on labor market conditions and labor market supply allows us to customize our data based on each plaintiff’s characteristics making the labor mitigation analysis unique.

For more information contact us at 1-866-629-0011 or info@employstats.com.

Gathering Data for Labor Market and Mitigation Studies

Performing labor market and mitigation studies requires gathering and using specific information. Often, this information pertains to the plaintiff’s job search efforts within the labor market. For example, did the individual apply for jobs that matched their expertise and education level. Additionally, if an application is made to a different job, we must determine if the job qualifications are similar to their previous position.

Labor market data sources such as, U.S. Bureau of Labor Statistics labor market survey (BLS) and U.S Department of Labor’s ONET, are often used to analyze an individual’s potential job matches.  It is through this type of research that an accurate picture of the plaintiff’s job search efforts can be measured and provide needed information in these types of labor market and mitigation studies.

For more information visit Employstats or contact us at info@employstats.com.

EmployStats Welcomes Eddie Molina

About Eddie Molina

Eddie received both his Bachelor of Arts in Economics and Bachelor of Science in Computer Science at The University of Texas at Austin in 2018. He also received his Master in Science in Statistics at Baylor University in 2021. Eddie enjoyed his second course in his programming sequence, Data Structures along with a Game Theory course. Outside the classroom, Eddie participated in the UT quidditch team and got to play in the collegiate championship game his senior year.

Eddie’s favorites include:

Hobbies:

  • Playing the Guitar
  • Sports 
  • Chess

Types of Movies and Books:

  • Drama or Documentary Films 
  • Fiction and nonfiction books

Favorite Books:

  • The Alchemist
  • I Know This Much Is True

Favorite Food:

  • Thai Food 

Favorite Quote:

  • “It does not do to dwell on dreams and forget to live.” – Albus Dumbledore

We are extremely thrilled to have Eddie on our team. We offer our warmest welcome to our newest team member.

EmployStats Advises the EEOC on Collection of Survey Data

EmployStats was brought on to provide our feedback on the best uses of this EEOC-2 data. In these panel meetings, we testified about our industry level experience in using available pay data to analyze claims of disparate pay and employment discrimination. We described to the EEOC how companies like EmployStats, research institutions, and public users utilize federally maintained datasets in practice, comparing the survey data the EEOC collected to other federal databases like the Bureau of Labor Statistics (BLS).

We explained the benefits of current benchmark pay data from different public and private sources, and what additional value the EEO-2 survey data could bring. We also provided EEOC recommendations on best practices for the formatting and publication of the EEOC’s data, so this survey data can be of maximum utility to researchers and the general public. 

A few years ago the EEOC had created an additional component to their Equal Employment Opportunity (EEO) survey sent out to employers in the United States, known as Component 2 (EEOC-2 / EEO-2). This addition to their survey asked employers about the compensation of employees and their hours worked, organized by job category, gender, race, ethnicity, and certain pay bands. After collecting this data, the EEOC was interested in analyzing this data and determining how it could be best utilized by both the commission, and the public at large. Partnering with the National Academy of Sciences (NAS), the EEOC formed a panel to closely examine this compensation data, and collect input on its utilization. EmployStats was able to collaborate with several well known professionals including William Rogers, Elizabeth Hirsh, Jenifer Park, and Claudia Goldin. 

To discuss a potential case or to answer any questions, you can email info@employstats.com or contact us at 1-866-629-0011.

Principal Economists Dwight Steward Speaks on Tesla’s Economic Impact

Principal Economists Dwight Steward discusses the economic impact of Tesla beginning production in Austin, Texas, with KEYE-TV Journalist Jessica Taylor. 

With new production beginning in January 2022, Dr. Steward believes more jobs and infrastructure will follow. He agrees with expert projections of 5-15,000 jobs being created because the onset of production will result in more jobs and infrastructure. Likely, it will be closer to 15,000 because factory jobs have the potential to create a lot more opportunities according to Steward. Unlike their competitors, Tesla has had no labor and chip shortages. 

Elon Musk announced near the end of 2021 that the headquarters will be moving to Austin alongside the gigafactory which began construction during the Summer of 2020. 

Check out the full article here: https://cbsaustin.com/newsletter-daily/analysts-say-tesla-could-begin-production-at-austin-gigafactory-before-end-of-january

The Holidays are Here and EmployStats is Giving Back!

This holiday season, EmployStats had the opportunity to participate in the Boys & Girls Clubs of San Antonio annual Reindeer Brigade. As families continue to navigate recovery from these challenging past 18 months, many are still working to recover, making this year’s program more important than ever. To help spread some holiday cheer, EmployStats donated to twelve children, making their holiday wishes come true. Our company is a proud donor and encourages others to participate. Happy holidays from EmployStats!

EmployStats Welcomes Emma Dooley

About Emma Dooley

Emma received her Bachelor of Arts in Communication from Texas A&M University in the year of 2021. She enjoyed her Intro to Social Media and Crisis Communication courses. She finished up her last semester as a Teaching Assistant for a Research Methods course that she had taken previously that semester.

Emma’s favorites include:

Hobbies:

  • Fashion
  • Reading
  • Discovering new places to eat

Types of Movies and Books:

  • Horror Movies
  • True Crime/Young Adult Novels

Favorite Book/Podcast:

  • A Stolen Life by Jaycee Lee Dugard
  • Crime Junkie

Favorite Foods:

  • Sushi
  • Italian food

We are extremely thrilled to have Emma on our team. We offer our warmest welcome to our newest team member.

EmployStats Welcomes Proma Paromita

About Proma Paromita

Proma received her Bachelor of Arts in Economics from the Asian University for Women in Bangladesh in the year 2018. After receiving her Bachelor’s degree, Proma traveled to Richardson, TX to attend The University of Texas at Dallas to receive her Master of Science in Econometrics and Quantitative Economics this year. She enjoyed her applied regression and labor economics courses, as well as listening to the University’s podcast.

Proma’s favorites include:

Hobbies:

  • Origami
  • Handcrafts
  • Reading

    • Types of Movies and Books

  • Thriller Movies
  • Detective Novels

    • Favorite Book

  • Big Little Lies by Liane Moriarty

    • Favorite Foods

  • Pasta 
  • Chicken Wings

    • Favorite Quote

  • “I think therefore I am” said by René Descartes

    • We are extremely excited to have Proma on our team. We offer our warmest welcome to our new team member.

    Neumark and Vaccaro write The Career Evolution of the Sex Gap in Wages: Discrimination vs. Human Capital Investment

    The Career Evolution of the Sex Gap in Wages: Discrimination vs. Human Capital Investment was written by David Neumark and Giannina Vaccaro for the National Bureau of Economic Research (NBER).

    Abstract

    Several studies find that there is little sex gap in wages at labor market entry, and that the sex gap in wages emerges (and grows) with time in the labor market. This evidence is consistent with (i) there is little or no sex discrimination in wages at labor market entry, and (ii) the emergence of the sex gap in wages with time in the labor market reflects differences between men and women in human capital investment (and other decisions), with women investing less early in their careers. Indeed, some economists explicitly interpret the evidence this way. We show that this interpretation ignores two fundamental implications of the human capital model, and that differences in investment can complicate the interpretation of both the starting sex gap in wages (or absence of a gap), and the differences in “returns” to experience. We then estimate stylized structural models of human capital investment and wage growth to identify the effects of discrimination and differences in human capital investment, and find evidence more consistent with discrimination reducing women’s wages at labor market entry.

    Read – The Career Evolution of the Sex Gap in Wages: Discrimination vs. Human Capital Investment

    • Find the paper on the NBER website here.
    • Find the paper on the SSRN website here.