Michael Burda - Sciences Po Spire

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Table 3. Estimated Impact of Blue Laws on US Retail (SIC 520) Full Fixed Effects Model (OLS & IV) Variable BLUE SUPERBLUE OLS IV(I) IV(II) OLS IV(I) IV(II) REIS Data (1977-93) Relative Employment -0.006 -0.090** 0.004 -0.011** -0.068** 0.003 Relative Compensation 0.006 0.161** 0.005 0.003 0.121** 0.004 Relative Productivity 0.012 0.174** 0.009 0.014** 0.131** 0.007 Relative price deflator -0.013* -0.061** -0.015* 0.000 -0.047** -0.012* Share of Value Added -0.010 0.021 0.002 -0.003 0.015 0.001 CPS Data (1977-1993) Relative Retail Employment -0.009 0.325 0.341 -0.352* 0.243 0.267 Part-time Employment 0.394 -0.965 0.251 0.271 -0.732 0.197 Part-time in Retail -0.023 -1.713** 0.162 -0.146 -1.296** 0.127 Department Store Employment -0.052 0.153 -0.003 -0.033 0.115 -0.002 CPS Hourly Wage, Retail -0.009 -0.012 -0.018 -0.007 -0.009 -0.014 34
Table 4. Estimated Impact of Blue Laws on US Retail (SIC 520) 3-Digit Sectors (OLS & IV) Variable BLUE SUPERBLUE OLS IV(I) IV(II) OLS IV(I) IV(II) Relative Employment 521 Building materials and garden equipment 0.040* 0.027 0.046* -0.006 0.020 0.037* 522 General merchandise stores 0.028 -0.294** 0.041* 0.018 -0.222** 0.033* 523 Food and grocery stores -0.005 -0.039 0.008 -0.004 -0.029 0.006 524 Car dealers and service stations 0.001 0.011 0.000 -0.014** 0.009 0.000 525 Apparel and accessory stores -0.058** 0.290** -0.036** -0.036** 0.219** -0.030** 526 Home furniture, furnishings stores -0.002 0.094* -0.008 -0.005 0.071* -0.007 527 Eating and drinking places -0.035** -0.417** -0.008 -0.027** -0.315** -0.006 528 Miscellaneous Retail Relative Compensation 0.014* 0.149** 0.003 0.001 0.112** 0.002 521 Building materials and garden equipment -0.012 0.027 -0.000 -0.006 0.021 -0.000 522 General merchandise stores 0.020** 0.156** 0.017* 0.009* 0.118** 0.014* 523 Food and grocery stores -0.001 0.223** -0.015 0.001 0.169** -0.012 524 Car dealers and service stations 0.001 0.033 -0.002 0.003 0.025 -0.002 525 Apparel and accessory stores 0.002 0.102** 0.002 -0.002 0.077** 0.001 526 Home furniture, furnishings stores -0.006 -0.009 -0.004 -0.011** -0.007 -0.003 527 Eating and drinking places -0.011 0.124** 0.001 -0.007 0.094** 0.001 528 Miscellaneous Retail 0.022** 0.222** 0.020* 0.015** 0.167** 0.016* Table 5. Effect of Blue Laws in the March 1979 CPS Dependent Variable OLS estimates of interaction of retail trade* with blue law: N STRICT FOOD MILD Real weekly -0.059 -0.066 -0.119 8262 gross earnings (-0.8) (-1.7) (-2.1) Weekly -0.037 -0.076 -0.067 8048 hours (-0.5) (-2.2) (-1.3) Real hourly -0.018 0.007 -0.051 8048 wage (-0.2) (0.2) (-0.9) *SIC 52 excluding 527 (eating and drinking establishments) Note: t-statistics in parentheses. 35
Page 1 and 2: Blue Laws ∗ Michael Burda Humbold
Page 3 and 4: on the books of a number of states
Page 5 and 6: simplicity, that families cannot ch
Page 7 and 8: The optimal choice of work consumpt
Page 9 and 10: imposing the equilibrium conditions
Page 11 and 12: most intuitive case in which tighte
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Page 15 and 16: for example — which could solve t
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Page 23 and 24: of full time employees, who receive
Page 25 and 26: The empirical evidence suggests how
Page 27 and 28: .1.3 Retail Competitive retail firm
Page 29 and 30: De Meza, D. (1984) “Is the Fourth
Page 31 and 32: Table 1. Estimated Impact of Blue L
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Page 37 and 38: 1979 1984 Figure 4: Figure 5: 37 Su

Michael Burda - Sciences Po Spire

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