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Young adult substance use following involuntary job loss Cover

Young adult substance use following involuntary job loss

Open Access
|Nov 2023

Figures & Tables

Table 1

Descriptive Statistics (means) of Selected Variables

Non-DisplacedDisplaced
Total Earningsa,b$3,564.65$2,218.23
Hours Workedb15.9921.38
Employed56.03%55.29%
Age19.1118.77
Female54.90%49.93%
Whitec51.73%36.51%
Responsible for Own Household15.17%15.13%
Education
  < High School15.39%13.86%
  High School Degree/GED23.97%29.79%
  Some College/Associates Degree57.76%56.12%
  High School Plus Another Degree (not college)0.12%-
  Bachelor's Degree2.51%0.23%
  Master's Degree0.25%-
Currently Smoke12.72%21.77%
Number Cigarettes/Day7.558.80
Currently Drink Alcohol48.58%46.50%
Drink at Least Several Times/Month52.48%50.43%
Number Drinks/Session3.583.65
Ever Used Marijuana40.17%45.98%
Number of Uses of Marijuana previous 12 Monthsd12.6114.33
Ever Used Amphetamines, Cocaine, Barbiturates, or Tranquilizers15.81%15.95%
Ever Used Pain Relievers/Narcotics30.32%34.43%
Number of Uses of Pain Relievers/Narcotics previous5.346.17
12 Monthsd
Total Number of Individuals2,288747

Notes: Sample includes individuals who respond to at least two surveys. Displaced workers must respond to the survey prior to job loss. All calculations are means/proportions of selected variables. All years are used in the calculations. However, calculations only use the first observation in which an individual is observed.

a – Real 2018 dollars;

b – equals the total across all five jobs;

c – represents the modal report for race;

d – midpoint of the range is used in the calculation

Table 2

Displacement's Effect on Labor Market Outcomes

EarningsLog EarningsEmployed
Panel A: Average Annual Effect
After−4,285.556*** (733.586)−0.754*** (0.144)−0.134*** (0.020)
R20.170.160.08
N10,8168,46010,816
# Individuals3,0392,8633,039
Panel B: Event History
At least t-62,083.255* (1,242.017)−0.213 (0.286)−0.018 (0.041)
t-41,721.573** (773.122)0.364 (0.233)−0.023 (0.027)
t−2,745.970*** (624.354)−0.743*** (0.166)−0.167*** (0.023)
t+2−4,545.250*** (957.543)−0.635*** (0.209)−0.106*** (0.027)
t+4−7,065.855*** (1,407.884)−0.482* (0.260)−0.070** (0.033)
At least t+6−8,929.685*** (2,181.589)−0.399 (0.315)−0.130*** (0.045)
R20.170.170.09
N10,8168,46010,816
# Individuals3,0392,8633,039

The data come from the 2005–2019 waves of the TAS from the PSID. The sample includes individuals who respond to at least two surveys. Displaced workers must respond to the survey prior to job loss. Standard errors clustered at the individual level shown in parentheses. The dependent variables are noted in the column headings. Additional independent variables include age, age squared, and dummy variables for calendar year. The coefficients in panel B are estimated relative to period t-2.

* p<0.1;

** p<0.05;

*** p<0.01

Figure 1

Displacement's Effect on Labor Market Outcomes.

Table 3

Displacement's Effect on Substance Use

Panel A: Extensive Margin
Currently SmokesCurrently DrinksEver Use MarijuanaEver Used Other DrugsEver Used Pain Relievers/Narcotics
After0.032** (0.013)0.031* (0.018)−0.016 (0.015)0.010 (0.014)−0.003 (0.037)
R20.000.110.060.030.06
N10,79010,78110,75910,7594,486
# People3,0393,0393,0393,0392,004
Avg. Pre-Job Loss0.220.550.470.180.40
Panel B: Intensive Margin
# Cigarettes per DayDrinks Several Times per Month# Drinks per Session# Times used Marijuana past 12 Months# Times used Pain Relievers/Narcotics past 12 Months
After0.341 (0.551)−0.030 (0.026)0.463*** (0.128)1.967** (0.827)−2.167 (1.879)
R20.020.050.030.030.04
N1,7216,8836,8255,3201,419
# People7482,5162,5092,019978
Avg. Pre-Job Loss8.200.563.4814.136.34

The data come from the 2005–2019 waves of the TAS from the PSID. The sample includes individuals who respond to at least two surveys. Displaced workers must respond to the survey prior to job loss. Standard errors clustered at the individual level shown in parentheses. The dependent variables are noted in the column headings. Additional independent variables include age, age squared, and dummy variables for calendar year.

* p<0.1;

** p<0.05;

*** p<0.01

Figure 2

Displacement's Effect on Substance Use.

Table 4

Displacement's Effect on Substance Use by Type of Support – Extensive Margin

CigarettesAlcoholMarijuanaOther DrugsPain Relievers/Narcotics
Panel A: Parental Support
After0.045** (0.019)0.035 (0.023)0.016 (0.020)0.031 (0.019)0.054 (0.054)
R20.010.110.070.030.06
N9,2219,2129,1919,1914,084
# Individuals2,6562,6562,6562,6561,843
Panel B: Government Support
After0.084** (0.036)−0.016 (0.048)−0.043 (0.040)0.073* (0.038)−0.068 (0.116)
R20.010.110.070.030.06
N8,1388,1318,1118,1113,786
# Individuals2,3882,3882,3882,3881,728
Panel C: Own Support
After0.030** (0.014)0.040** (0.020)0.006 (0.017)0.023 (0.016)−0.018 (0.039)
R20.000.110.070.030.06
N10,08410,07610,05310,0534,313
# Individuals2,8572,8572,8572,8571,935

The data come from the 2005–2019 waves of the TAS from the PSID. The sample includes individuals who respond to at least two surveys. Displaced workers must respond to the survey prior to job loss. Standard errors clustered at the individual level shown in parentheses. The dependent variables are noted in the column headings. Additional independent variables include age, age squared, and dummy variables for calendar year. Parental support is parents/relatives helping to pay for tuition, rent, mortgage, other expenses not defined, or providing a personal loan. Government support includes SSI, TANF, or UI. Own support includes savings/checking accounts, stocks, mutual funds, investment trusts, money market accounts, government bonds, or certificates of deposits.

* p<0.1;

** p<0.05;

*** p<0.01

Table 5

Displacement's Effect on Substance Use by Type of Support – Intensive Margin

# CigarettesDrinks Several Times per Month# Drinks per Session# Times Used Marijuana in Previous 12 Months# Times Used Pain Relievers in Previous 12 Months
Panel A: Parental Support
After0.614 (0.834)−0.067* (0.035)0.214 (0.152)3.147*** (1.129)−1.313 (2.667)
R20.030.050.040.030.04
N1,3595,9585,9084,5441,291
# Individuals6082,1902,1841,749894
Panel B: Government Support
After0.539 (1.009)0.066 (0.060)0.679** (0.334)2.389 (1.615)−3.034 (2.231)
R20.030.060.030.020.05
N1,0975,1815,1353,8771,180
# Individuals5061,9411,9341,543829
Panel C: Own Support
After0.034 (0.636)−0.036 (0.028)0.324** (0.135)2.324** (0.903)−2.030 (2.136)
R20.020.050.030.030.04
N1,5036,5086,4554,9371,363
# Individuals6612,3682,3621,882939

The data come from the 2005–2019 waves of the TAS from the PSID. The sample includes individuals who respond to at least two surveys. Displaced workers must respond to the survey prior to job loss. Standard errors clustered at the individual level shown in parentheses. The dependent variables are noted in the column headings. Additional independent variables include age, age squared, and dummy variables for calendar year. See table 4 and text for descriptions of types of support.

* p<0.1;

** p<0.05;

*** p<0.01

Table 6

Displacement's Effect on Substance Use - Declining Economic Activity

Panel A: Extensive Margin
Currently SmokesCurrently DrinksEver Use MarijuanaEver Use Other Drugs
After0.032 (0.027)0.052 (0.034)0.018 (0.029)0.040 (0.029)
R20.000.110.070.03
N8,5858,5778,5598,559
# Individuals2,4922,4922,4922,492
Panel B: Intensive Margin
# Cigarettes per DayDrinks Several Times per Month# Drinks per Session# Times used Marijuana past 12 Months
After1.000 (0.949)−0.077* (0.046)0.597*** (0.230)0.344 (1.426)
R20.030.060.030.02
N1,2255,5035,4604,115
# Individuals5512,0412,0351,620

The data come from the 2005–2019 waves of the TAS from the PSID. The sample includes individuals who respond to at least two surveys. Displaced workers must respond to the survey prior to job loss. Standard errors clustered at the individual level shown in parentheses. The dependent variables are noted in the column headings. Additional independent variables include age, age squared, and dummy variables for calendar year. The treatment group is limited to those who experience an increase in their state's unemployment rate between the period before job loss and the year of displacement.

* p<0.1;

** p<0.05;

*** p<0.01

Table 7

Heterogeneity by Gender

Panel A: Substance Use at Extensive Margin
CigarettesAlcoholMarijuanaOther DrugsPain Relievers
Men0.041** (0.020)0.004 (0.023)−0.054*** (0.020)0.043** (0.019)0.062 (0.052)
Women0.023 (0.015)0.057** (0.025)0.023 (0.021)−0.024 (0.019)−0.055 (0.048)
R20.000.110.070.030.06
N10,79010,78110,75910,7594,845
# Individuals3,0393,0393,0393,0392,194
Sig. DifferentNoNo1%1%10%
Men Avg.0.2750.5950.5670.2080.319
Women Avg.0.1730.4990.3880.1640.459
Panel B: Substance Use at Intensive Margin
Number CigarettesDrinks Several Times per Month# Drinks per Session# Times used Marijuana# Times used Pain Relievers
Men0.058 (0.755)−0.023 (0.035)0.635*** (0.187)2.400** (1.097)2.252 (3.118)
Women0.748 (0.584)−0.038 (0.037)0.263* (0.152)1.354 (1.123)−4.685** (2.158)
R20.020.050.030.030.05
N1,7216,8836,8255,3201,595
# Individuals7482,5162,5092,0191,095
Sig. DifferentNoNoNoNo10%
Men Avg.8.6010.6343.82716.8893.566
Women Avg.7.5980.4723.09110.3507.799

The data come from the 2005–2019 waves of the TAS from the PSID. The sample includes individuals who respond to at least two surveys. Displaced workers must respond to the survey prior to job loss. Standard errors clustered at the individual level shown in parentheses. The dependent variables are noted in the column headings. Additional independent variables include age, age squared, and dummy variables for calendar year.

* p<0.1;

** p<0.05;

*** p<0.01

Table 8

Heterogeneity by Race

Panel A: Substance Use at Extensive Margin
CigarettesAlcoholMarijuanaOther DrugsPain Relievers
Non-White0.053*** (0.015)0.045** (0.022)−0.020 (0.020)−0.010 (0.016)−0.052 (0.045)
White−0.005 (0.021)0.006 (0.027)−0.009 (0.021)0.042* (0.024)0.094 (0.057)
R20.010.110.060.030.06
N10,78310,77410,75110,7514,844
# Individuals3,0363,0363,0363,0362,193
Sig. Different5%NoNo10%5%
White Avg.0.2980.6770.5320.3600.384
Non-White Avg.0.1750.4660.4420.0800.407
Panel B: Substance use at Intensive Margin
Number CigarettesDrinks Several Times per Month# Drinks per Session# Times used Marijuana# Times used Pain Relievers
Non-White0.635 (0.768)−0.004 (0.038)0.669*** (0.160)2.621** (1.042)−4.053* (2.203)
White0.059 (0.668)−0.060* (0.033)0.209 (0.187)1.057 (1.228)0.626 (3.093)
R20.020.050.030.030.05
N1,7176,8786,8205,3171,595
# Individuals7472,5142,5072,0181,095
Sig. DifferentNoNo10%NoNo
White Avg.9.5890.6284.08813.9413.566
Non-White Avg.6.7390.4952.94514.3077.799

The data come from the 2005–2019 waves of the TAS from the PSID. The sample includes individuals who respond to at least two surveys. Displaced workers must respond to the survey prior to job loss. Standard errors clustered at the individual level shown in parentheses. The dependent variables are noted in the column headings. Additional independent variables include age, age squared, and dummy variables for calendar year.

* p<0.1;

** p<0.05;

*** p<0.01

Table 9

Heterogeneity by Living Arrangements

Panel A: Substance Use at Extensive Margin
CigarettesAlcoholMarijuanaOther DrugsPain Relievers
With Others0.025 (0.015)0.058*** (0.022)−0.020 (0.020)0.035** (0.017)0.104** (0.051)
On Own0.040** (0.020)−0.003 (0.026)−0.011 (0.021)−0.021 (0.021)−0.112** (0.047)
R20.000.110.060.030.06
N10,79010,78110,75910,7594,845
# Individuals3,0393,0393,0393,0392,194
Sig. DifferentNo10%No5%1%
On Own Avg.0.2450.5730.4980.2030.464
With Others Avg.0.1990.5180.4520.1670.333
Panel B: Substance Use at Intensive Margin
Number CigarettesDrinks Several Times per Month# Drinks per Session# Times used Marijuana# Times used Pain Relievers
With Others0.769 (0.720)−0.046 (0.034)0.457*** (0.155)1.582 (1.144)−1.253 (3.352)
On Own−0.054 (0.696)−0.012 (0.038)0.470** (0.194)2.382** (1.094)−2.548 (1.971)
R20.020.050.030.030.04
N1,7216,8836,8255,3201,595
# Individuals7482,5162,5092,0191,095
Sig. DifferentNoNoNoNoNo
On Own Avg.8.9690.5453.53613.3326.609
With Others Avg.7.2460.5713.41315.0105.957

The data come from the 2005–2019 waves of the TAS from the PSID. The sample includes individuals who respond to at least two surveys. Displaced workers must respond to the survey prior to job loss. Standard errors clustered at the individual level shown in parentheses. The dependent variables are noted in the column headings. Additional independent variables include age, age squared, and dummy variables for calendar year. Living on own is defined as being a head of household or a spouse of the head of household during the survey of the reported job loss. Living with others is defined as living with friends or relatives at the time of job loss.

* p<0.1;

** p<0.05;

*** p<0.01

Appendix A-1

Displacement's Effect on Substance Use

Prob. of SmokingProb. of Drinking# Drinks per Session# Times Used Marijuana
≤t-6−0.037 (0.027)0.001 (0.037)0.155 (0.266)−2.604 (1.893)
t-4−0.016 (0.018)0.037 (0.027)0.021 (0.184)−1.606 (1.239)
t0.028** (0.013)0.035* (0.019)0.529*** (0.155)1.486* (0.844)
t+20.023 (0.018)0.056** (0.023)0.380** (0.169)1.283 (1.131)
t+40.029 (0.023)0.019 (0.031)0.376* (0.201)2.987** (1.413)
≥t+6−0.005 (0.034)0.030 (0.042)0.404 (0.305)2.708 (1.861)
R20.000.110.030.03
N10,79010,7816,8255,320
# Ind.3,0393,0392,5092,019

The data come from the 2005–2019 waves of the TAS from the PSID. The sample includes individuals who respond to at least two surveys. Displaced workers must respond to the survey prior to job loss. Standard errors clustered at the individual level shown in parentheses. The dependent variables are noted in the column headings. Additional independent variables include age, age squared, and dummy variables for calendar year. Estimates come from equation (2). Coefficients are relative to period t-2.

* p<0.1;

** p<0.05;

*** p<0.01

Appendix Table B-1

The Effect of Substance Use on Employment

SmokingDrinkingMarijuanaOther DrugsPain Relievers
Panel A: Substance User at t = 0
After−0.178*** (0.039)−0.107*** (0.024)−0.122*** (0.026)−0.158*** (0.040)−0.182** (0.071)
R20.090.090.090.090.02
N8,5369,8099,4758,4584,002
# Individuals2,4842,7962,7192,4631,800
Panel B: Not Substance User at t = 0
After−0.117*** (0.023)−0.186*** (0.036)−0.147*** (0.030)−0.126*** (0.023)−0.141*** (0.049)
R20.090.090.090.090.03
N10,0238,7509,07610,0934,268
# Individuals2,8452,5332,6082,8641,911

The data come from the 2005–2019 waves of the TAS from the PSID. The sample includes individuals who respond to at least two surveys. Displaced workers must respond to the survey prior to job loss. Standard errors clustered at the individual level shown in parentheses. The dependent variable equals one if the respondent is employed and zero otherwise. Additional independent variables include age, age squared, and dummy variables for calendar year. Panel A limits the treatment group to those who are substance users at the time of the reported job loss. Panel B limits the treatment group to those who are not current substance users at the time of job loss. The substance in question is in the column headings.

* p<0.1;

** p<0.05;

*** p<0.01

Appendix Table B-2

The Effect of Substance Use on Employment

SmokingDrinkingMarijuanaOther DrugsPain Reliever
Panel A: Non-users in t – 2 & Users in t = 0
After−0.194** (0.084)−0.088** (0.043)−0.146** (0.057)−0.118* (0.061)−0.171 (0.106)
R20.090.090.090.090.02
N7,9628,3258,1008,0563,809
# Individuals2,3452,4432,3762,3701,729
Panel B: Non-users in t – 2 & t = 0
After−0.111*** (0.024)−0.176*** (0.040)−0.128*** (0.031)−0.130*** (0.024)−0.145** (0.057)
R20.090.090.090.090.02
N9,8578,5128,8699,8554,031
# Individuals2,8062,4742,5572,8081,815

The data come from the 2005–2019 waves of the TAS from the PSID. The sample includes individuals who respond to at least two surveys. Displaced workers must respond to the survey prior to job loss. Standard errors clustered at the individual level shown in parentheses. The dependent variable equals one if the respondent is employed and zero otherwise. Additional independent variables include age, age squared, and dummy variables for calendar year. Panel A limits the treatment group to those who started using substances between the survey before job loss and the survey of the reported job loss. Panel B limits the treatment group to those who remained non-users during the survey before job loss and the survey of job loss. The substance in question is in the column headings.

* p<0.1;

** p<0.05;

*** p<0.01

Appendix Table C-1

Displacement's Effect on Labor Market Outcome - Heterogeneity

Log EarningsReal EarningsEmployed
Panel A: Gender
Men−0.816*** (0.184)−2,988.339*** (983.679)−0.108*** (0.028)
Women−0.694*** (0.200)−5573.236*** (867.409)−0.161*** (0.028)
R20.160.170.08
N8,46010,81610,816
# Individuals2,8633,0393,039
Sig. DifferentNo5%No
Panel B: Race
Non-White−0.946*** (0.178)−5,958.624*** (785.528)−0.151*** (0.025)
White−0.492** (0.212)−1481.940 (1177.504)−0.108*** (0.031)
R20.170.170.08
N8,45310,80710,807
# Individuals2,8613,0363,036
Sig. Different10%1%No
Panel C: Living Arrangements
With Others−0.984*** (0.184)−5,054.904*** (795.454)−0.086*** (0.026)
On Own−0.506** (0.202)−3360.716*** (1094.889)−0.193*** (0.030)
R20.170.170.09
N8,46010,81610,816
# Individuals2,8633,0393,039
Sig. Different10%No1%

The data come from the 2005–2019 waves of the TAS from the PSID. The sample includes individuals who respond to at least two surveys. Displaced workers must respond to the survey prior to job loss. Standard errors clustered at the individual level shown in parentheses. The dependent variables are noted in the column headings. Additional independent variables include age, age squared, and dummy variables for calendar year. Living on own is defined as being a head of household or a spouse of the head of household during the survey of the reported job loss. Living with others is defined as living with friends or relatives at the time of job loss.

* p<0.1;

** p<0.05;

*** p<0.01

Appendix Table D-1

Heterogeneity - Relative Differences

# Cigarettes# DrinksMarijuanaPain Relievers
Panel A: Gender
Men−0.058 (0.206)0.306*** (0.100)0.431 (0.349)−0.089 (0.638)
Women−0.076 (0.145)0.106* (0.062)0.332 (0.507)−0.645 (0.475)
R20.040.020.040.06
N1,2634,7302,773318
# Individuals4581,496896211
Sig. DifferentNo10%NoNo
Panel B: Race
Non-White−0.064 (0.147)0.296*** (0.081)0.154 (0.311)−0.285 (0.423)
White−0.063 (0.231)0.117 (0.091)0.735 (0.559)−0.777 (0.718)
R20.040.020.040.06
N1,2594,7262,773318
# Individuals4571,495896211
Sig. DifferentNoNoNoNo
Panel C: Living Arrangements
With Others0.104 (0.220)0.212*** (0.071)0.282 (0.365)−0.422* (0.254)
On Own−0.230 (0.152)0.216** (0.104)0.502 (0.461)−0.478 (0.780)
R20.040.020.040.06
N1,2634,7302,773318
# Individuals4581,496896211
Sig. DifferentNoNoNoNo

The data come from the 2005–2019 waves of the TAS from the PSID. The sample includes individuals who respond to at least two surveys. Displaced workers must respond to the survey prior to job loss. Standard errors clustered at the individual level shown in parentheses. The dependent variables are noted in the column headings. Additional independent variables include age, age squared, and dummy variables for calendar year.

* p<0.1;

** p<0.05;

*** p<0.01

Appendix E-1

Displacement's Effect on Living Arrangements

On OwnTransition
After−0.024 (0.015)−0.017 (0.013)
R20.420.09
N10,81610,816
# Individuals3,0393,039

The data come from the 2005–2019 waves of the TAS from the PSID. The sample includes individuals who respond to at least two surveys. Displaced workers must respond to the survey prior to job loss. Standard errors clustered at the individual level shown in parentheses. The dependent variables are noted in the column headings. Additional independent variables include age, age squared, and dummy variables for calendar year.

* p<0.1;

** p<0.05;

*** p<0.01

Appendix E-2

Non-Random Attrition

EmployedCurrent SmokeCurrent DrinkMarijuanaOther DrugPain Reliever
Attrite0.006 (0.010)0.008 (0.016)−0.015 (0.012)0.002 (0.013)0.005 (0.014)0.000 (0.000)
R20.680.680.690.690.691.00
N5,7255,7185,7165,7075,707884
# Individuals1,4171,4171,4171,4171,417573

The data come from the 2005–2017 waves of the TAS from the PSID. The sample includes individuals who respond to at least two surveys. Displaced workers must respond to the survey prior to job loss. Standard errors clustered at the individual level shown in parentheses. The dependent variable equals one if the individual attrites from the sample in the following period. The main independent variable of interest in each regression is indicated in the column. Additional independent variables include age, age squared, and dummy variables for calendar year.

* p<0.1;

** p<0.05;

*** p<0.01

Appendix E-3

Displacement's Effect on Attrition

Attrite
After0.008 (0.016)
R20.68
N5,725
# Individuals1,417

The data come from the 2005–2017 waves of the TAS from the PSID. The sample includes individuals who respond to at least two surveys. Displaced workers must respond to the survey prior to job loss. Standard errors clustered at the individual level shown in parentheses. The dependent variable is noted in the column heading. Additional independent variables include age, age squared, and dummy variables for calendar year.

* p<0.1;

** p<0.05;

*** p<0.01

Appendix Table F-1

Substance Use's Effect on Displacement

Panel A: Extensive Margin
Current SmokeCurrent DrinkEver Used MarijuanaEver Used Other DrugsEver Used Pain Relievers/Narcotics
Job Loss0.010 (0.022)−0.012 (0.013)0.014 (0.014)0.009 (0.017)−0.029 (0.026)
R20.010.010.010.010.00
N7,7687,7617,7557,7552,510
# Individuals3,0383,0373,0383,0381,793
Panel B: Intensive Margin
# Cigarettes Smoked per DayDrink Several Times per Month# Drinks per Session# Times Used Marijuana in Past 12 Months# Times Used Pain Relievers in Past 12 Month
Job Loss−0.001 (0.003)−0.008 (0.015)−0.005 (0.003)0.000 (0.001)0.000 (0.004)
R20.010.010.010.010.02
N1,2634,7824,7413,631920
# Individuals6582,1912,1791,754761

The data come from the 2005–2019 waves of the TAS from the PSID. The sample includes individuals who respond to at least two surveys. Displaced workers must respond to the survey prior to job loss. Standard errors clustered at the individual level shown in parentheses. The dependent variables are noted in the column headings. Additional independent variables include age, age squared, and dummy variables for calendar year.

* p<0.1;

** p<0.05;

*** p<0.01

Appendix Table F-2

Sensitivity Analysis - Labor Market Outcomes

EarningsLog EarningsEmployed
Panel A: Displaced Main Job
After−6,673.086*** (849.543)−0.863*** (0.245)−0.406*** (0.033)
R20.170.160.10
N10,8168,46010,816
# Individuals3,0392,8633,039
Panel B: Employed at Baseline
After−4,616.058*** (949.157)−0.860*** (0.196)−0.141*** (0.022)
R20.230.140.12
N5,7814,9145,781
# Individuals1,6951,6551,695
Panel C: Works at Least 25 Hours at Baseline
After−4,896.733*** (1,456.795)−0.836*** (0.203)−0.179*** (0.030)
R20.120.170.07
N4,0053,5894,005
# Individuals989986989
Panel D: Displaced Workers Present between t–2 and t+2
After−4,993.206*** (848.074)−0.886*** (0.167)−0.117*** (0.024)
R20.170.170.08
N10,0047,80210,004
# Individuals2,7872,6172,787

The data come from the 2005–2019 waves of the TAS from the PSID. The sample includes individuals who respond to at least two surveys. Displaced workers must respond to the survey prior to job loss. Standard errors clustered at the individual level shown in parentheses. The dependent variables are noted in the column headings. Additional independent variables include age, age squared, and dummy variables for calendar year.

* p<0.1;

** p<0.05;

*** p<0.01

Appendix Table F-3

Sensitivity Analysis - Substance Use: Extensive Margin

Currently SmokesCurrently DrinksEver Use MarijuanaEver Use Other DrugsEver Use Pain Relievers
Panel A: Displaced from Main Job
After0.032 (0.022)−0.020 (0.027)−0.075*** (0.025)−0.011 (0.021)0.065 (0.068)
R20.000.110.070.030.06
N10,79010,78110,75910,7594,486
# Individuals3,0393,0393,0393,0392,004
Panel B: Employed at Baseline Interview
After0.040** (0.017)0.025 (0.025)−0.031 (0.020)0.014 (0.020)0.057 (0.046)
R20.000.090.060.030.06
N5,7675,7635,7585,7582,523
# Individuals1,6951,6951,6951,6951,147
Panel C: Worked at Least 25 Hours per Week at Baseline Interview
After0.049** (0.020)0.020 (0.026)−0.012 (0.023)0.012 (0.024)0.032 (0.070)
R20.010.070.060.040.05
N3,9993,9963,9943,9941,098
# Individuals989989989989475
Panel D: Displaced Workers Present between t – 2 and t + 2
After0.028* (0.015)0.019 (0.021)−0.034** (0.017)−0.001 (0.017)0.043 (0.055)
R20.000.110.060.030.06
N9,9799,9709,9509,9504,132
# Individuals2,7872,7872,7872,7871,849

The data come from the 2005–2019 waves of the TAS from the PSID. The sample includes individuals who respond to at least two surveys. Displaced workers must respond to the survey prior to job loss. Standard errors clustered at the individual level shown in parentheses. The dependent variables are noted in the column headings. Additional independent variables include age, age squared, and dummy variables for calendar year.

* p<0.1;

** p<0.05;

*** p<0.01

Appendix Table F-4

Sensitivity Analysis - Substance Use: Intensive Margin

# Cigarettes Smoked per DayDrinks Several Times per Month# Drinks Consumed per Session# Times Used Marijuana past 12 Months# Times used Pain Relievers/Narcotics past 12 Months
Panel A: Displaced from Main Job
After1.503* (0.841)−0.036 (0.046)0.785*** (0.230)1.287 (1.371)−1.451 (2.836)
R20.030.050.030.020.04
N1,7216,8836,8255,3201,419
# Individuals7482,5162,5092,019978
Panel B: Employed at Baseline Interview
After0.412 (0.623)−0.016 (0.035)0.560*** (0.172)1.396 (1.134)−4.750 (3.226)
R20.050.050.030.030.05
N9183,7903,7622,868765
# Individuals4111,4321,4291,111545
Panel C: Worked at Least 25 Hours per Week at Baseline Interview
After−0.084 (0.701)0.008 (0.039)0.669*** (0.210)0.652 (1.171)−3.729 (2.969)
R20.030.030.040.020.13
N7582,8052,7852,186417
# Individuals310885887714286
Panel D: Displaced Workers Present from t – 2 and t + 2
After0.589 (0.665)−0.055* (0.031)0.454*** (0.151)0.824 (0.950)−1.635 (2.576)
R20.030.050.030.020.04
N1,5396,3626,3074,8831,315
# Individuals6652,2992,2921,834901

The data come from the 2005–2019 waves of the TAS from the PSID. The sample includes individuals who respond to at least two surveys. Displaced workers must respond to the survey prior to job loss. Standard errors clustered at the individual level shown in parentheses. The dependent variables are noted in the column headings. Additional independent variables include age, age squared, and dummy variables for calendar year.

* p<0.1;

** p<0.05;

*** p<0.01

Appendix Table G-1

Displacement's Effect on Labor Market Outcomes

EarningsLog EarningsEmployed
After−3,635.597*** (1,339.037)−0.274 (0.262)−0.137*** (0.040)
R20.170.180.09
N8,4226,5058,422
# Individuals2,4632,2972,463

The data come from the 2005–2019 waves of the TAS from the PSID. The sample includes individuals who respond to at least two surveys. Displaced workers must respond to the survey prior to job loss. Standard errors clustered at the individual level shown in parentheses. The dependent variables are noted in the column headings. Additional independent variables include age, age squared, and dummy variables for calendar year. The treatment group is limited to those displaced through plant closure only.

* p<0.1;

** p<0.05;

*** p<0.01

Appendix Table G-2

Displacement's Effect on Substance Use

Panel A: Extensive Margin
Currently SmokesCurrently DrinksEver Used MarijuanaEver Used Other DrugsEver Used Pain Relievers/Narcotics
After0.002 (0.024)0.047 (0.032)−0.041 (0.030)−0.023 (0.024)−0.039 (0.072)
R20.000.110.070.020.06
N8,4038,3958,3748,3743,907
# Individuals2,4632,4632,4632,4631,779
Panel B: Intensive Margin
# Cigarettes Smoked Per DayDrinks Several Times per Month# Drinks per Session# Times Used Marijuana in Past 12 Months# Times Used Pain Relievers Past 12 Months
After0.047 (0.841)−0.026 (0.046)0.137 (0.237)1.770 (1.694)−5.535* (2.913)
R20.030.060.030.020.04
N1,1565,3635,3193,9911,221
# Individuals5312,0102,0031,580860

The data come from the 2005–2019 waves of the TAS from the PSID. The sample includes individuals who respond to at least two surveys. Displaced workers must respond to the survey prior to job loss. Standard errors clustered at the individual level shown in parentheses. The dependent variables are noted in the column headings. Additional independent variables include age, age squared, and dummy variables for calendar year. The treatment group is limited to those displaced through plant closure only.

* p<0.1;

** p<0.05;

*** p<0.01

Appendix Table G-3

Heterogeneity by Gender

Panel A: Labor Market Outcomes
Log EarningsRealEmployed
Men−0.908** (0.368)−3,174.104 (2,223.554)−0.077 (0.055)
Women0.225 (0.354)−4002.388*** (1513.980)−0.184*** (0.054)
R20.180.170.09
N6,5058,4228,422
# Individuals2,2972,4632,463
Sig. Different5%NoNo
Panel B: Substance Use at Extensive Margin
Currently SmokesCurrently DrinksEver Used MarijuanaEver Used Other DrugsEver Used Pain Relievers/Narcotics
Men−0.001 (0.036)0.008 (0.041)−0.061 (0.039)−0.022 (0.041)0.047 (0.099)
Women0.004 (0.031)0.078* (0.045)−0.024 (0.042)−0.024 (0.028)−0.099 (0.098)
R20.000.110.070.020.06
N8,4038,3958,3748,3743,907
# Individuals2,4632,4632,4632,4631,779
Sig. DifferentNoNoNoNoNo
Panel C: Substance Use at Intensive Margin
# Cigarettes Smoked Per DayDrinks Several Times per Month# Drinks per Session# Times Used Marijuana in Past 12 Months# Times Used Pain Relievers Past 12 Months
Men0.667 (1.294)−0.054 (0.064)0.624* (0.365)2.149 (2.545)−7.610** (3.573)
Women−0.743 (0.807)0.002 (0.065)−0.347 (0.265)1.382 (2.152)−4.688 (3.749)
R20.030.060.040.020.04
N1,1565,3635,3193,9911,221
# Individuals5312,0102,0031,580860
Sig. DifferentNoNo5%NoNo

The data come from the 2005–2019 waves of the TAS from the PSID. The sample includes individuals who respond to at least two surveys. Displaced workers must respond to the survey prior to job loss. Standard errors clustered at the individual level shown in parentheses. The dependent variables are noted in the column headings. Additional independent variables include age, age squared, and dummy variables for calendar year. The treatment group is limited to those displaced through plant closure only.

* p<0.1;

** p<0.05;

*** p<0.01

Appendix Table G-4

Heterogeneity by Race

Panel A: Labor Market Outcomes
Log EarningsReal EarningsEmployed
Non-White−0.504 (0.334)−6,288.925*** (1,392.415)−0.145*** (0.052)
White−0.050 (0.406)546.915 (2510.808)−0.125** (0.058)
R20.180.170.09
N6,5018,4168,416
# Individuals2,2962,4612,461
Sig. DifferentNo5%No
Panel B: Substance Use at Extensive Margin
Currently SmokesCurrently DrinksEver Used MarijuanaEver Used Other DrugsEver Used Pain Relievers/Narcotics
Non-White0.038 (0.030)0.048 (0.041)−0.049 (0.040)−0.018 (0.031)−0.082 (0.085)
White−0.060 (0.037)0.048 (0.047)−0.034 (0.041)−0.041 (0.038)0.060 (0.129)
R20.000.110.070.020.06
N8,3988,3908,3698,3693,906
# Individuals2,4612,4612,4612,4611,778
Sig. Different5%NoNoNoNo
Panel C: Substance Use at Intensive Margin
# Cigarettes Smoked Per DayDrinks Several Times per Month# Drinks per Session# Times Used Marijuana in Past 12 Months# Times Used Pain Relievers Past 12 Months
Non-White−0.013 (1.351)−0.012 (0.067)0.468 (0.325)5.123** (2.483)−5.342 (4.714)
White0.223 (1.032)−0.039 (0.063)−0.294 (0.318)−2.184 (1.988)−5.776** (2.575)
R20.030.060.040.030.04
N1,1525,3595,3153,9881,221
# Individuals5302,0092,0021,579860
Sig. DifferentNoNo10%5%No

The data come from the 2005–2019 waves of the TAS from the PSID. The sample includes individuals who respond to at least two surveys. Displaced workers must respond to the survey prior to job loss. Standard errors clustered at the individual level shown in parentheses. The dependent variables are noted in the column headings. Additional independent variables include age, age squared, and dummy variables for calendar year. The treatment group is limited to those displaced through plant closure only.

* p<0.1;

** p<0.05;

*** p<0.01

Appendix Table G-5

Heterogeneity by Living Arrangements

Panel A: Labor Market Outcomes
Log EarningsReal EarningsEmployed
With Others−0.838** (0.338)−5,882.592*** (1,195.762)−0.127*** (0.047)
On Own0.669* (0.385)201.614 (2794.817)−0.153** (0.069)
R20.180.170.09
N6,5058,4228,422
# Individuals2,2972,4632,463
Sig. Different1%5%No
Panel B: Substance Use at Extensive Margin
Currently SmokesCurrently DrinksEver Used MarijuanaEver Used Other DrugsEver Used Pain Relievers/Narcotics
With Others0.004 (0.028)0.053 (0.040)−0.072** (0.034)0.003 (0.030)0.068 (0.101)
On Own−0.001 (0.042)0.036 (0.049)0.012 (0.054)−0.067* (0.040)−0.161* (0.097)
R20.000.110.070.020.06
N8,4038,3958,3748,3743,907
# Individuals2,4632,4632,4632,4631,779
Sig. DifferentNoNoNoNo10%
Panel C: Substance Use at Intensive Margin
# Cigarettes Smoked Per DayDrinks Several Times per Month# Drinks per Session# Times Used Marijuana in Past 12 Months# Times Used Pain Relievers Past 12 Months
With Others0.879 (1.199)−0.067 (0.059)0.084 (0.268)1.696 (2.148)−0.860 (1.539)
On Own−1.190 (0.795)0.041 (0.068)0.225 (0.431)1.901 (2.649)−13.398** (5.556)
R20.030.060.030.020.05
N1,1565,3635,3193,9911,221
# Individuals5312,0102,0031,580860
Sig. DifferentNoNoNoNo5%

The data come from the 2005–2019 waves of the TAS from the PSID. The sample includes individuals who respond to at least two surveys. Displaced workers must respond to the survey prior to job loss. Standard errors clustered at the individual level shown in parentheses. The dependent variables are noted in the column headings. Additional independent variables include age, age squared, and dummy variables for calendar year. The treatment group is limited to those displaced through plant closure only.

* p<0.1;

** p<0.05;

*** p<0.01

Appendix Table H-1

Descriptive Statistics (means) of Selected Variables

Non-Displaced (matched)Displaced (matched)
Total Earningsa,b$3,094.56$2,214.53
Hours Workedb18.4321.14
Employed54.13%55.35%
Age18.9318.78
Female53.59%50.20%
Whitec35.86%36.40%
Responsible for Own Household15.02%14.88%
Education
  < High School13.86%13.69%
  High School Degree/GED23.41%29.700%
  Some College/Associates Degree61.14%56.38%
  Bachelor's Degree1.36%0.23%
  Master's Degree0.23%-
Currently Smoke18.94%21.65%
Number Cigarettes/Day8.498.72
Currently Drink Alcohol44.25%46.55%
Drink at Least Several Times/Month50.15%50.29%
Number Drinks/Session3.713.64
Ever Used Marijuana43.55%46.07%
Number of Uses of Marijuana previous 12 Monthsd11.8214.4
Ever Used Amphetamines, Cocaine, Barbiturates, or Tranquilizers16.42%15.86%
Ever Used Pain Relievers/Narcotics27.93%34.43%
Number of Uses of Pain Relievers/Narcotics previous9.396.17
12 Monthsd
Total Number of Individuals739739

Notes: Sample is the matched treatment and control units. See main text for description of matching procedure. All years are used in the calculations. However, calculations only use the first observation in which an individual is observed.

a – Real 2018 dollars;

b – equals the total across all five jobs;

c – represents the modal report for race;

d – midpoint of the range is used in the calculation

Appendix Table H-2

Displacement's Effect on Labor Market Outcomes

EarningsLog EarningsEmployed
After−1,991.898*** (663.265)−0.647*** (0.138)−0.112*** (0.020)
R20.200.150.08
N6,0434,7606,043
# Individuals1,3071,2631,307

The data come from the 2005–2019 waves of the TAS from the PSID. The sample includes individuals who respond to at least two surveys. Displaced workers must respond to the survey prior to job loss. Standard errors clustered at the individual level shown in parentheses. The dependent variables are noted in the column headings. Additional independent variables include age, age squared, and dummy variables for calendar year. See the main text for a description of the matching estimator.

* p<0.1;

** p<0.05;

*** p<0.01

Appendix Table H-3

Displacement's Effect on Substance Use

Panel A: Substance Use at Extensive Margin
Current SmokesCurrent DrinkEver Used MarijuanaEver Used Other DrugsEver Used Pain Reliever/Narcotics
After0.024* (0.013)0.020 (0.018)0.002 (0.015)0.024* (0.014)−0.007 (0.030)
R20.000.100.050.020.07
N6,0346,0286,0156,0151,883
# Individuals1,3071,3071,3071,307695
Panel B: Substance Use at Intensive Margin
# Cigarettes Smoked per DayDrinks Several Times per Month# Drinks per Session# Times Used Marijuana Past 12 Months# Times Used Pain Relievers Past 12 Months
After0.462 (0.548)−0.002 (0.024)0.389*** (0.116)1.097 (0.756)−1.776 (1.153)
R20.030.030.030.030.04
N1,2853,7733,7413,183646
# Individuals4321,1141,114942361

The data come from the 2005–2019 waves of the TAS from the PSID. The sample includes individuals who respond to at least two surveys. Displaced workers must respond to the survey prior to job loss. Standard errors clustered at the individual level shown in parentheses. The dependent variables are noted in the column headings. Additional independent variables include age, age squared, and dummy variables for calendar year. See the main text for a description of the matching estimator.

* p<0.1;

** p<0.05;

*** p<0.01

Figure H-1

Event History Analysis – Labor Market Outcomes.

Figure H-2

Event History – Substance Use.

Language: English
Submitted on: Feb 6, 2023
Published on: Nov 11, 2023
Published by: Sciendo
In partnership with: Paradigm Publishing Services
JEL:

© 2023 Nicholas A. Jolly, Gwendolyn Davis, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 License.