Search Results

Author: Devaraj, Srikant
Resulting in 4 citations.
1. Devaraj, Srikant
Patel, Pankaj C.
Skin Tone and Self-Employment: Is there an Intra-Group Variation among Blacks?
Review of Black Political Economy 44,1 (2017): 137-166.
Also: https://link.springer.com/article/10.1007/s12114-017-9249-x
Cohort(s): NLSY97
Publisher: Springer
Keyword(s): Black Studies; Self-Employed Workers; Skin Tone

Permission to reprint the abstract has not been received from the publisher.

The purpose of this paper is to formally evaluate whether odds of entry into self-employment decrease as skin tone darkens for Blacks in the United States. Extending past work on inter-group differences in Black-White self-employment, based on data from National Longitudinal Survey of Youth 1997, with darker skin tone the odds of self-employment decline. Having spent more time in labor force further decreases the likelihood of self-employment for darker skin tone Blacks, and being a high-school graduate, scoring high on Armed Services Vocational Aptitude Battery (ASVAB), or higher past year income are not associated with self-employment of darker skin tone Blacks. While darker skin tone Blacks who are self-employed derive lower income, those who are self-employed and with more human capital (longer time spent in the labor force, scoring high on ASVAB or being a high school graduate) have a higher income.
Bibliography Citation
Devaraj, Srikant and Pankaj C. Patel. "Skin Tone and Self-Employment: Is there an Intra-Group Variation among Blacks?" Review of Black Political Economy 44,1 (2017): 137-166.
2. Devaraj, Srikant
Patel, Pankaj C.
State Bans on Pay Secrecy and Earnings: Evidence from the National Longitudinal Survey of Youth 1997
BJIR: An International Journal of Employment Relations published online (15 April 2022): DOI: 10.1111/bjir.12673.
Also: https://doi.org/10.1111/bjir.12673
Cohort(s): NLSY79, NLSY97
Publisher: Blackwell Publishing, Inc. => Wiley Online
Keyword(s): Earnings; Geocoded Data; State-Level Data/Policy

Pay secrecy policies restrict employees from discussing pay and compensation with their co-workers. In addition to the federal law, 11 US states have enacted additional laws further reinforcing the ban on pay secrecy. Recent evidence shows that state pay secrecy bans lower wage gap for females and increase earnings of managers by a small amount. In a longitudinal cohort of 6046 individuals representing 35,387 individual-year observations from the National Longitudinal Survey of Youth 1997 (NLSY 1997), we do not find support for the benefits these state-level policies have on earnings in general, or for managerial employees in particular. Our findings are consistent for NLSY 1979 cohort. The effects did not vary by sex, age or managerial status in either cohort, and the differences by higher cognitive ability (those in the upper quartile or above the 90th percentile)--is significant in the NLSY 1997 cohort, but not in the NLSY 1979 cohort--were not conclusive. The findings indicate limited effects of state-level pay secrecy laws.
Bibliography Citation
Devaraj, Srikant and Pankaj C. Patel. "State Bans on Pay Secrecy and Earnings: Evidence from the National Longitudinal Survey of Youth 1997." BJIR: An International Journal of Employment Relations published online (15 April 2022): DOI: 10.1111/bjir.12673.
3. Devaraj, Srikant
Patel, Pankaj C.
Student Debt, Income-based Repayment, and Self-employment: Evidence from NLSY 1997 and NFCS 2015
Applied Economics published online (10 February 2020): DOI: 10.1080/00036846.2020.1722795.
Also: https://www.tandfonline.com/doi/full/10.1080/00036846.2020.1722795
Cohort(s): NLSY97
Publisher: Taylor & Francis
Keyword(s): Debt/Borrowing; Labor Market Outcomes; Propensity Scores; Self-Employed Workers; Student Loans / Student Aid

Based on the income-risk hypothesis, we test whether those with higher student debt are less likely to be self-employed. We also test if the income-based repayment programme increases the odds of self-employment. Using a longitudinal sample of 6,762 participants (1998-2011) in National Longitudinal Survey of Youth 1997 (NLSY97) and propensity score matching, we find that having student debt decreases the odds of self-employment by 1.3 percentage points. Further, using eligibility for income-based repayment programme as an instrument driving effect of loans in NLSY97 sample or use of income-based repayment plans in National Financial Capability Study 2015 increases the odds of self-employment of about 2 percent. The effect sizes are smaller than previous studies on student loans on labour market outcomes.
Bibliography Citation
Devaraj, Srikant and Pankaj C. Patel. "Student Debt, Income-based Repayment, and Self-employment: Evidence from NLSY 1997 and NFCS 2015." Applied Economics published online (10 February 2020): DOI: 10.1080/00036846.2020.1722795.
4. Devaraj, Srikant
Quigley, Narda R.
Patel, Pankaj C.
The Effects of Skin Tone, Height, and Gender on Earnings
PLOS ONE published online (2 January 2018): DOI: doi.org/10.1371/journal.pone.0190640.
Also: http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0190640
Cohort(s): NLSY97
Publisher: PLOS
Keyword(s): Discrimination; Earnings; Gender Differences; Height; Physical Characteristics; Skin Tone

Permission to reprint the abstract has not been received from the publisher.

Using a theoretical approach grounded in implicit bias and stereotyping theories, this study examines the relationship between observable physical characteristics (skin tone, height, and gender) and earnings, as measured by income. Combining separate streams of research on the influence of these three characteristics, we draw from a sample of 31,356 individual-year observations across 4,340 individuals from the National Longitudinal Study of Youth (NLSY) 1997. We find that skin tone, height, and gender interact such that taller males with darker skin tone attain lower earnings; those educated beyond high school, endowed with higher cognitive ability, and at the higher income level (>75th percentile) had even lower levels of earnings relative to individuals with lighter skin tone. The findings have implications for implicit bias theories, stereotyping, and the human capital literature within the fields of management, applied psychology, and economics.
Bibliography Citation
Devaraj, Srikant, Narda R. Quigley and Pankaj C. Patel. "The Effects of Skin Tone, Height, and Gender on Earnings." PLOS ONE published online (2 January 2018): DOI: doi.org/10.1371/journal.pone.0190640.