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Licensed Unlicensed Requires Authentication Published by De Gruyter October 17, 2022

Political Commitment, Policy Consequences, and Moral Beliefs: Survey Evidence on the Minimum Wage

  • Neha Agarwal ORCID logo EMAIL logo and David Fairris

Abstract

Does information regarding the economic consequences of a minimum wage affect the level of support for or opposition to minimum wage policy? We conduct an online survey of 2242 US respondents to study this question. We randomly assign differing, empirically plausible estimates of minimum wage impacts on three outcomes—employment, the distribution of minimum wage gains to households, and comparative impacts of a government transfer program versus a minimum wage— in order to explore the relationship between minimum wage consequences and political commitment. Our results show that while political commitment is indeed influenced by information on the policy’s consequences, such information rarely leads to fundamental changes in political commitment. This is consistent with findings in the larger literature on the effects of information provision on political commitment. We offer a novel explanation for such findings by surveying respondents on their moral beliefs regarding the minimum wage, focusing on the extent to which these beliefs are consequentialist or non-consequentialist in nature. We find that non-consequentialist moral beliefs are prevalent among survey respondents and that the more intense are these beliefs, the less likely people are to be swayed by the policy’s consequences.

JEL Classification: D63; J38

Corresponding author: Neha Agarwal, Department of Economics, University of Otago, Dunedin, New Zealand, E-mail:

The authors are prepared to provide all data and code for purposes of replication. This work was conducted under exempted IRB approval through the University of California, Riverside. David Fairris gratefully acknowledges research support from the “Edward A. Dickson Emeritus/a Professor Award” at the University of California, Riverside.


Funding source: University of California, Riverside

Award Identifier / Grant number: Edward A. Dickson Emeritus/a Professor Award

Acknowledgments

We have been the beneficiary of much good advice from colleagues in both the social sciences and philosophy on this project, including Michael Bates, Steven Brint, Joe Cummins, John Fisher, Robert Kaestner, Stephen Knowles, Mindy Marks, Ronald Peeters, Todd Sorensen, and John Weymark. We benefited from presentations at UC-Riverside, the University of Otago, Victoria University Wellington, Annual Conference on Economic Growth and Development at ISI-Delhi, and the Eastern Economic Association Meetings. We owe a special thanks to Tarek Azzam for helping us navigate the mysteries of surveying on the mTurk site. All errors are our own.

  1. Research funding: This work was supported by Edward A. Dickson Emeritus/a Professor Award at the University of California, Riverside.

Appendix
Table A.1:

Descriptive statistics of respondents and comparison with American community survey 2018.

mTurk sample (N = 2242) US population
(1) (2)
Age 37.61 47.60
Female 0.49 0.51
College degree 0.51 0.30
Individual income less than 50,000 0.74 0.72
Household income less than 50,000 0.50 0.38
  1. The table shows summary statistics from the Qualtrics sample in column 1 and corresponding statistics in the US population from the 2018 American Community Survey. Data in column 2 are restricted to population 18 years and over. All statistics in column 2 are calculated using individual weights except for household income, where household weight is used. Income is measured in USD.

Table A.2:

Summary statistics by employment treatment for supporters and opponents.

1% 10% 20% (1)–(2) (2)–(3) (1)–(3)
(1) (2) (3) (4) (5) (6)
Mean/SD Mean/SD Mean/SD b/t b/t b/t
Panel A: supporters
Age 38.22 37.35 37.88 0.87 −0.53 0.35
(11.58) (10.94) (11.21) (1.33) (−0.82) (0.52)
Female 0.47 0.48 0.48 −0.01 −0.01 −0.01
(0.50) (0.50) (0.50) (−0.21) (−0.26) (−0.46)
College degree 0.52 0.54 0.52 −0.02 0.02 −0.00
(0.50) (0.50) (0.50) (−0.72) (0.66) (−0.06)
Individual income 0.73 0.72 0.73 0.02 −0.02 0.00
Less than 50,000 (0.44) (0.45) (0.44) (0.62) (−0.61) (0.00)
Household income 0.48 0.52 0.50 −0.05 0.02 −0.03
Less than 50,000 (0.50) (0.50) (0.50) (−1.57) (0.62) (−0.94)
Liberal 0.47 0.50 0.51 −0.03 −0.01 −0.04
(0.50) (0.50) (0.50) (−0.89) (−0.47) (−1.35)
Conservative 0.21 0.22 0.20 −0.01 0.02 0.01
(0.40) (0.41) (0.40) (−0.41) (0.87) (0.45)
Moderate 0.31 0.28 0.29 0.03 −0.01 0.03
(0.46) (0.45) (0.45) (1.20) (−0.25) (0.95)
Observations 582 602 578 1184 1180 1160
Panel B: opponents
Age 38.16 36.49 36.07 1.67 0.42 2.09
(12.09) (11.42) (10.03) (1.26) (0.35) (1.69)
Female 0.58 0.45 0.59 0.12* −0.14* −0.01
(0.50) (0.50) (0.49) (2.21) (−2.45) (−0.22)
College degree 0.42 0.47 0.45 −0.05 0.02 −0.02
(0.50) (0.50) (0.50) (−0.84) (0.41) (−0.44)
Individual income 0.77 0.77 0.76 0.00 0.01 0.01
Less than 50,000 (0.42) (0.42) (0.43) (0.03) (0.28) (0.31)
Household income 0.51 0.53 0.48 −0.02 0.05 0.03
Less than 50,000 (0.50) (0.50) (0.50) (−0.40) (0.89) (0.49)
Liberal 0.31 0.21 0.32 0.10* −0.11* −0.01
(0.46) (0.41) (0.47) (2.03) (−2.26) (−0.21)
Conservative 0.43 0.41 0.41 0.02 0.00 0.02
(0.50) (0.49) (0.49) (0.29) (0.03) (0.33)
Moderate 0.25 0.35 0.25 −0.10* 0.10 −0.01
(0.43) (0.48) (0.44) (−2.01) (1.88) (−0.16)
Observations 158 157 165 315 322 323
  1. Columns 1–3 show mean and standard deviation (in parentheses) by their assigned treatment group as indicated at the top of the table. Columns 4–6 show the difference in characteristics between groups as indicated at the top of the table. t-statistics on the difference are in parentheses for columns 4–6. Income is measured in USD. ***p < 0.01, **p < 0.05, *p < 0.1.

Table A.3:

Summary statistics by distribution treatment for supporters and opponents.

80%/5% 60%/20% 40%/40% (1)–(2) (2)–(3) (1)–(3)
(1) (2) (3) (4) (5) (6)
Mean/SD Mean/SD Mean/SD b/t b/t b/t
Panel A: supporters
Age 37.25 37.54 38.66 −0.28 −1.12 −1.40*
(10.76) (11.23) (11.70) (−0.44) (−1.66) (−2.14)
Female 0.47 0.47 0.48 −0.00 −0.01 −0.01
(0.50) (0.50) (0.50) (−0.09) (−0.41) (−0.50)
College degree 0.53 0.52 0.52 0.01 0.01 0.01
(0.50) (0.50) (0.50) (0.27) (0.17) (0.44)
Individual income 0.72 0.74 0.72 −0.01 0.02 0.00
Less than 50,000 (0.45) (0.44) (0.45) (−0.54) (0.60) (0.06)
Household income 0.51 0.52 0.48 −0.01 0.04 0.03
Less than 50,000 (0.50) (0.50) (0.50) (−0.24) (1.29) (1.06)
Liberal 0.50 0.50 0.48 0.00 0.02 0.02
(0.50) (0.50) (0.50) (0.00) (0.59) (0.60)
Conservative 0.21 0.18 0.22 0.03 −0.04 −0.01
(0.41) (0.39) (0.42) (1.11) (−1.59) (−0.49)
Moderate 0.29 0.31 0.28 −0.02 0.03 0.00
(0.45) (0.46) (0.45) (−0.90) (0.95) (0.06)
Observations 598 584 580 1182 1164 1178
Panel B: opponents
Age 35.69 37.12 37.80 −1.44 −0.68 −2.12
(9.53) (12.02) (11.78) (−1.17) (−0.52) (−1.75)
Female 0.52 0.53 0.57 −0.01 −0.04 −0.05
(0.50) (0.50) (0.50) (−0.25) (−0.73) (−0.97)
College degree 0.42 0.45 0.47 −0.02 −0.03 −0.05
(0.50) (0.50) (0.50) (−0.36) (−0.49) (−0.85)
Individual income 0.76 0.76 0.77 0.00 −0.01 −0.01
Less than 50,000 (0.43) (0.43) (0.42) (0.05) (−0.23) (−0.17)
Household income 0.52 0.53 0.47 −0.01 0.06 0.05
Less than 50,000 (0.50) (0.50) (0.50) (−0.25) (1.16) (0.89)
Liberal 0.33 0.26 0.25 0.07 0.01 0.08
(0.47) (0.44) (0.44) (1.39) (0.22) (1.60)
Conservative 0.35 0.43 0.47 −0.09 −0.04 −0.13*
(0.48) (0.50) (0.50) (−1.58) (−0.72) (−2.29)
Moderate 0.31 0.28 0.26 0.03 0.02 0.04
(0.46) (0.45) (0.44) (0.52) (0.34) (0.85)
Observations 153 164 163 317 327 316
  1. Columns 1–3 show mean and standard deviation (in parentheses) by their assigned treatment group as indicated at the top of the table. Columns 4–6 show the difference in characteristics between groups as indicated at the top of the table. t-statistics on the difference are in parentheses for columns 4–6. Income is measured in USD. ***p < 0.01, **p < 0.05, *p < 0.1.

Table A.4:

Summary statistics by relative impact (MW vs. GT) treatment for supporters and opponents.

Equal impact Unclear impact (2)–(1)
(1) (2) (3)
Mean/SD Mean/SD b/t
Panel A: supporters
Age 37.87 37.75 −0.12
(11.44) (11.06) (−0.23)
Female 0.47 0.48 0.01
(0.50) (0.50) (0.56)
College degree 0.52 0.53 0.01
(0.50) (0.50) (0.34)
Individual income 0.73 0.73 0.00
Less than 50,000 (0.45) (0.44) (0.23)
Household income 0.50 0.50 0.00
Less than 50,000 (0.50) (0.50) (0.14)
Liberal 0.49 0.50 0.01
(0.50) (0.50) (0.40)
Conservative 0.21 0.20 −0.01
(0.41) (0.40) (−0.71)
Moderate 0.29 0.29 −0.00
(0.46) (0.46) (−0.05)
Observations 864 898 1762
Panel B: opponents
Age 36.72 37.07 0.35
(10.42) (11.97) (0.34)
Female 0.55 0.53 −0.03
(0.50) (0.50) (−0.64)
College degree 0.45 0.45 0.00
(0.50) (0.50) (0.09)
Individual income 0.75 0.78 0.03
Less than 50,000 (0.43) (0.42) (0.65)
Household income 0.49 0.52 0.03
Less than 50,000 (0.50) (0.50) (0.73)
Liberal 0.27 0.29 0.02
(0.45) (0.46) (0.51)
Conservative 0.46 0.38 −0.08
(0.50) (0.49) (−1.76)
Moderate 0.25 0.32 0.07
(0.43) (0.47) (1.62)
Observations 240 240 480
  1. MW and GT stand for minimum wage and government transfer, respectively. Columns 1–2 show mean and standard deviation (in parentheses) by their assigned treatment group as indicated at the top of the table. Column 3 shows the difference in characteristics between the two groups. t-statistics on the difference are in parentheses for columns 4–6. Income is measured in USD. ***p < 0.01, **p < 0.05, *p < 0.1.

Table A.5:

Effect of minimum wage consequences on political commitment for reliable and unreliable survey takers: supporters.

Favor reduction of MW Support for MW Favor GT
(1) (2) (3) (4) (5) (6)
Unreliable Reliable Unreliable Reliable Unreliable Reliable
Employment loss = 10% 0.070 0.206***
(0.111) (0.061)
Employment loss = 20% 0.158 0.363***
(0.109) (0.064)
Low/high-income beneficiaries = 60%/20% −0.124 −0.167***
(0.115) (0.054)
Low/high-income beneficiaries = 40%/40% −0.311*** −0.488***
(0.107) (0.053)
Equal relative impact of MW and GT 0.084 −0.003
(0.089) (0.047)
Observations 454 1762 454 1762 454 1762
R 2 0.00 0.02 0.02 0.05 0.00 0.00
Comparison 1 = 2 3 = 4 5 = 6
F-stat 2.52 2.04 0.88
P-value 0.06 0.11 0.41
  1. MW and GT stand for minimum wage and government transfer, respectively. See Table 3 for details on survey questions corresponding to each outcome. F-stat and P-val correspond to the test for the null hypothesis that the coefficients for the reliable and unreliable respondents are the same for the comparison indicated in the Comparison row. Robust standard errors are in parentheses. ***p < 0.01, **p < 0.05, *p < 0.1.

Table A.6:

Effect of minimum wage consequences on political commitment for reliable and unreliable survey takers: opponents.

Favor enactment of MW Opposition to MW Favor MW
(1) (2) (3) (4) (5) (6)
Unreliable Reliable Unreliable Reliable Unreliable Reliable
Employment loss = 10% 0.050 −0.225**
(0.187) (0.115)
Employment loss = 20% 0.030 −0.170
(0.193) (0.113)
Low/high-income beneficiaries = 60%/20% 0.178 −0.069
(0.195) (0.112)
Low/high-income beneficiaries = 40%/40% 0.153 −0.312***
(0.184) (0.109)
Equal relative impact of MW and GT −0.231 −0.167*
(0.142) (0.092)
Observations 154 480 154 480 154 480
R 2 0.00 0.01 0.01 0.02 0.02 0.01
Comparison 1 = 2 3 = 4 5 = 6
F-stat 1.60 3.98 0.17
P-value 0.19 0.01 0.84
  1. MW and GT stand for minimum wage and government transfer, respectively. See Table 4 for details on survey questions corresponding to each outcome. F-stat and p-val correspond to the test for the null hypothesis that the coefficients for the reliable and unreliable respondents are the same for the comparison indicated in the Comparison row. Robust standard errors are in parentheses. ***p < 0.01, **p < 0.05, *p < 0.1.

Table A.7:

Effect of minimum wage consequences on and political commitment for supporters (using non-standardized dependent variable).

Favor reduction of MW Support for MW Favor Gov transfer
(1) (2) (3) (4) (5) (6)
Employment gain = 10% 4.717*** 4.419***
(1.392) (1.352)
Employment gain = 20% 8.327*** 8.488***
(1.473) (1.425)
Low/high-income beneficiaries = 60%/20% −4.049*** −4.011***
(1.315) (1.315)
Low/high-income beneficiaries = 40%/40% −11.863*** −11.961***
(1.289) (1.295)
Equal relative impact of MW and GT −0.079 −0.298
(1.307) (1.309)
Observations 1762 1762 1762 1762 1762 1762
R 2 0.02 0.11 0.05 0.07 0.00 0.03
Baseline mean 20.98 20.98 66.68 66.68 36.64 36.64
Controls No Yes No Yes No Yes
  1. See Table 3 for details on survey question and control variables. Baseline mean is the mean of the dependent variable for the baseline group. ***p < 0.01, **p < 0.05, *p < 0.1.

Table A.8:

Effect of minimum wage consequences on political commitment for opponents (using non-standardized dependent variable).

Favor enactment of MW Support for MW Favor MW
(1) (2) (3) (4) (5) (6)
Employment loss = 10% −6.438** −4.149
(3.274) (2.919)
Employment loss = 20% −4.844 −5.281*
(3.225) (2.879)
Low/high-income beneficiaries = 60%/20% −1.383 −1.055
(2.239) (2.304)
Low/high-income beneficiaries = 40%/40% −6.227*** −5.364**
(2.186) (2.271)
Equal relative impact of MW and GT −4.563* −4.145
(2.521) (2.559)
Observations 480 480 480 480 480 480
R 2 0.01 0.29 0.02 0.11 0.01 0.07
Baseline mean 45.18 45.18 53.71 53.71 57.07 57.07
Controls No Yes No Yes No Yes
  1. See Table 4 for details on survey question and control variables. Baseline mean is the mean of the dependent variable for the baseline group. ***p < 0.01, **p < 0.05, *p < 0.1.

Table A.9:

Minimum wage consequences, non-consequentialist intensity, and political commitment for supporters (using non-standardized dependent variable).

Favor reduction of MW Support for MW Favor Gov transfer
(1) (2) (3) (4) (5) (6)
Employment gain = 10% 7.113 8.938**
(4.550) (4.274)
Employment gain = 20% 19.141*** 18.466***
(4.901) (4.758)
NCintensity 0.256*** 0.172*** −4.102 −4.590 0.247*** 0.189***
(0.039) (0.047) (3.567) (3.483) (0.052) (0.063)
Employment gain 10% × NCintensity −2.450 −4.696
(4.579) (4.285)
Employment gain 20% × NCintensity −11.241** −10.397**
(4.842) (4.706)
Low/high-income beneficiaries = 60%/20% −8.036** −8.475**
(3.637) (3.546)
Low/high-income beneficiaries = 40%/40% −15.112*** −15.217***
(4.740) (4.563)
Low/high-income beneficiaries = 60%/20% × NCintensity 4.180 4.674
(3.567) (3.483)
Low/high-income beneficiaries = 40%/40% × NCintensity 3.426 3.443
(4.876) (4.684)
Equal relative impact of MW and GT 8.279* 8.327*
(4.308) (4.359)
Equal relative impact of MW and GT × NCintensity −8.661** −8.944**
(4.252) (4.304)
Observations 1762 1762 1762 1762 1762 1762
R 2 0.02 0.12 0.05 0.07 0.00 0.03
Baseline mean 20.98 20.98 66.68 66.68 36.64 36.64
Controls No Yes No Yes No Yes
F-stat* 16.04 6.43 12.85 4.22 13.43 6.55
P-value 0.00 0.00 0.00 0.01 0.00 0.00
  1. See Table 6 for details on survey question and control variables. Baseline mean is the mean of the dependent variable for the baseline group. ***p < 0.01, **p < 0.05, *p < 0.1. *F-stat and the corresponding p-value in the bottom row correspond to the test for the null hypothesis that non-consequentialist intensity and the interaction terms are jointly equal to zero.

Table A.10:

Minimum wage consequences, non-consequentialist intensity, and political commitment for opponents (using non-standardized dependent variable).

Favor enactment of MW Support for MW Favor MW
(1) (2) (3) (4) (5) (6)
Employment loss = 10% −0.784 2.408
(5.798) (5.406)
Employment loss = 20% −7.009** −8.103***
(3.501) (3.000)
NCintensity 0.398 −0.413 0.281 0.066 1.285*** 1.134***
(0.582) (0.508) (0.550) (0.529) (0.315) (0.353)
Employment loss 10% × NCintensity −5.202 −6.264
(4.748) (4.291)
Employment loss 20% × NCintensity 1.809** 2.223***
(0.874) (0.686)
Low/high-income beneficiaries = 60%/20% −3.257 −3.163
(2.493) (2.540)
Low/high-income beneficiaries = 40%/40% −3.652 −3.327
(4.472) (4.488)
Low/high-income beneficiaries = 60%/20% × NCintensity 1.502** 1.627**
(0.719) (0.691)
Low/high-income beneficiaries = 40%/40% × NCintensity −2.349 −1.990
(3.365) (3.213)
Equal relative impact of MW and GT −3.185 −2.964
(2.815) (2.867)
Equal relative impact of MW and GT × NCintensity −1.138 −1.017
(0.781) (0.867)
Observations 480 480 480 480 480 480
R 2 0.02 0.29 0.03 0.12 0.01 0.08
Baseline mean 45.18 45.18 53.71 53.71 57.07 57.07
Controls No Yes No Yes No Yes
F-stat* 4.32 5.92 5.17 4.47 8.35 5.17
P-value 0.01 0.00 0.00 0.00 0.00 0.01
  1. See Table 7 for details on survey question and control variables. Baseline mean is the mean of the dependent variable for the baseline group. ***p < 0.01, **p < 0.05, *p < 0.1. *F-stat and the corresponding p-value in the bottom row correspond to the test for the null hypothesis that non-consequentialist intensity and the interaction terms are jointly equal to zero.

Table A.11:

Bounding exercise for bias in NCintensity variables.

With Lower bound Exclude
Dependent variables Independent variables Baseline controls for δ = 1 zero δ for β = 0
(1) (2) (3) (4) (5) (6) (7)
Panel A: supporters
Favor reduction of MW NCintensity 0.011 0.007 0.006 Yes 5.3
Employment loss 10% × NCintensity −0.107 −0.205 −0.242 Yes −5.6
Employment loss 20% × NCintensity −0.490 −0.453 −0.439 Yes 25.0
Support for MW NCintensity −0.169 −0.189 −0.215 Yes −9.7
Low-/high-income beneficiaries = 60/20 × NCintensity 0.172 0.192 0.218 Yes −9.7
Low-/high-income beneficiaries = 40/40 × NCintensity 0.141 0.142 0.143 Yes 55.4
Favor GT NCintensity 0.009 0.007 0.006 Yes 9.3
Equal relative impact of MW & GT × NCintensity −0.310 −0.320 −0.323 Yes −239.8
Panel B: Opponents
Favor enactment of MW NCintensity 0.014 −0.014 −0.024 Yes −1.6
Employment loss 10% × NCintensity −0.182 −0.219 −0.232 Yes −28.6
Employment loss 20% × NCintensity 0.063 0.078 0.083 Yes −19.6
Opposition to MW NCintensity 0.014 0.003 −0.001 No 0.7
Low-/high-income beneficiaries = 60/20 × NCintensity 0.075 0.081 0.084 Yes −66.5
Low-/high-income beneficiaries = 40/40 × NCintensity −0.118 −0.100 −0.092 Yes 10.2
Favor MW NCintensity 0.047 0.041 0.039 Yes 14.5
Equal relative impact of MW & GT × NCintensity −0.042 −0.037 −0.036 Yes 16.2
  1. The baseline (without controls) and with controls results in columns 3 and 4 are for supporters and opponents from Tables 6 and 7, respectively. Column 5 reports the Oster (2019) lower bound on the coefficient based on R max = 1.3R and δ = 1, and the upper bound is the coefficient reported in column 4 (from controlled specification). Column 6 shows whether the identified range of coefficients excludes zero (null effect). Column 7 reports the Oster (2019) δ that is the degree of selection on unobservables relative to observables that will produce treatment effect (β) of zero for R max = 1.3R. MW and GT stand for minimum wage and government transfer, respectively.

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Supplementary Material

The online version of this article offers supplementary material (https://doi.org/10.1515/bejeap-2022-0150).


Received: 2022-04-19
Accepted: 2022-09-12
Published Online: 2022-10-17

© 2022 Walter de Gruyter GmbH, Berlin/Boston

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