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1

THE DEMAND FOR MARIJUANA, TOBACCO AND ALCOHOL

December 2008

by

Kenneth W Clements

Yihui Lan

The University of Western Australia

and

Xueyan Zhao

Monash University

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The Marijuana Market

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D

D

D

X

Z

Observed

Y

Legalised (no tax)

Legalised (with tax)

Price

Quantity

Demanded

Revenue

Expenditure

Elasticity

Tax

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The Risk Premium

3

Revenue

D

D

X

Y

Z

Observed

Legalised (with tax)

Price

Quantity

Demanded

Parameters

(Means and SDs)

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Distribution of the Risk Premium

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Mean = 300%

Median = 277%

SD = 179%

Note: Truncated at 750%

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Cross Effects

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Tax revenue

Marijuana tax

0

Alcohol

(Substitute for Marijuana)

Marijuana

(Price inelastic)

Tobacco

(Complement for Marijuana)

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Information Needed

  • Own-price elasticity of demand for Marijuana
  • Cross-price elasticities:
      • Tobacco w.r.t Marijuana
      • Alcohol w.r.t Marijuana
  • “Observed” expenditure on Marijuana
  • All very uncertain!

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Elasticities I

  • Start with preference independence

  • Leads to Frisch price elasticities (marginal utility of income constant) of the form:

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Kronecker delta

Income elasticity of i > 0

Income flexibility

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Elasticities I

  • Consider n = 4 goods, Marijuana, Tobacco, Alcohol and Other. The 4x4 matrix of Frisch price elasticities is:

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M

T

A

O

Row

sum

Marijuana

Tobacco

Alcohol

Other

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Elasticities I

  • Under preference independence, this matrix is diagonal:

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M

T

A

O

Marijuana

Tobacco

Alcohol

Other

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�Elasticities II

  • Preference independence means all goods are unrelated
  • But Marijuana and Tobacco are likely to be complements
  • Modify PI by using the Frisch elasticities as a tool to organise our (fragmentary) prior information

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Elasticities II

  • Frisch price elasticity of demand for Marijuana w.r.t. the price of Tobacco:

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is a correlation-type measure of the degree of complementarity between Marijuana and Tobacco

Budget share of Marijuana (1) and Tobacco (2)

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Elasticities II

  • The correlation:

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Elasticities II

  • Under preference dependence, which allows for complementarity between Marijuana and Tobacco, the Frisch matrix takes the form:

M

T

A

O

Row

sum

Marijuana

Tobacco

Alcohol

Other

13

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Elasticities II

  • Here:

  • This is a “minimal” movement away from preference independence, whilst maintaining the underlying structure of the matrix

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Data

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Commodity

Budget share

wi×100

Income elasticity

ηi

Marijuana

2.0

1.2

Tobacco

2.0

0.4

Alcohol

4.0

1.0

Other

92.0

1.01

  • Income Flexibility:

  • Correlation:

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Uncertainty

  • Budget shares, income elasticities, and all follow truncated normal distributions
  • E.g.

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Budget shares

Mean

95% P.I.

Constraint

Marijuana

2.0%

1.1 – 2.8%

0 < w1 < 1

Tobacco

2.0%

1.6 – 2.4%

0 < w2 < 1

Alcohol

4.0%

3.2 – 4.8%

0 < w3 < 1

Income Flexibility

-0.5

-0.74 – -0.25

Correlation

-0.5

-0.92 – -0.08

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Price Elasticities

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The price elasticity of demand for all interesting goods is -1/2.

See next figure

THEOREM

Commodity

Frisch

own-price

elasticity

Marijuana

-0.66

Tobacco

-0.20

Alcohol

-0.67

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Branded Products

Electricity (LR)

Spirits

Wine

Petrol (LR)

Cigarettes

Beer

Water

Electricity (SR)

Petrol (SR)

0

0.5

1.0

1.5

2.0

PRICE ELASTICITIES OF DEMAND

Source: Clements “Price Elasticities of Demand are Minus One-half.” Economics Letters, 2008.

Mean = -0.54

Standard error = 0.17

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Stochastic Elasticities

  • Derive the implied distributions of price elasticities via Monte Carlo simulations
  • Examples:

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Income elasticity of Marijuana:

Own-price (Marshallian) elasticity for Marijuana:

Mean = -0.65

SD = 0.39

Mean = 1.29

SD = 0.69

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Legalising and Taxing Marijuana

  • Log-change in price of Marijuana is

  • Suppose , same as Tobacco
  • Suppose
  • Change in price is

  • Price falls with legalisation as tax < risk premium

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Producer Tax rate

Risk premium

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Impact on Consumption

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Note: Money income held constant

Commodity

Log-change x 100

Mean

S.D.

Marijuana

26

16

Tobacco

7

4

Alcohol

-3

2

Vice (M + T + A)

7

4

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Impact on Consumption

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Note: Money income held constant

Marijuana

% Change in

consumption

Marijuana

Mean = 26%

SD = 16%

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Impact on Consumption

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Note: Money income held constant

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7

-3

Marijuana

Tobacco

Alcohol

Vice

% Change in

consumption

Commodity

Mean

S.D.

Marijuana

26

16

Tobacco

7

4

Alcohol

-3

2

Vice (M + T + A)

7

4

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Taxation Revenue

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$ per capita p.a.

Marijuana tax rate

(% of consumer price)

Tax Marijuana at 50%, same as Tobacco

$349

$163

$861

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Taxation Revenue

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Note: Additional revenue is calculated from observed tax revenue of Tobacco ($324), � Alcohol ($360) and Total ($684).

Commodity

Total

revenue

$ per capita

Additional revenue

$ per capita

% increase

Marijuana

163

163

Tobacco

349

25

7.7

Alcohol

349

-11

-3.1

Total

861

177

25.9

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Revenue Uncertainty

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Why the Singularity?

  • In above, risk premium
  • Uncertainty band vanishes when consumer tax (t) on Marijuana ≈ 70%

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Why the Singularity?

  • Producer tax:

  • Change in price:

  • Change in consumption of i:

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Other Applications of Approach

  • Limited information
  • Other illicit products
  • New goods
  • CGE modelling?

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