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Interest group incentives for post-lottery trade restrictions

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Abstract

The rights to use publicly-managed natural resources are sometimes distributed by lottery, and typically these rights are nontransferable. Prohibition of post-lottery permit transfers discourages applicants from entering the lottery solely for profitable permit sale, so only those who personally value the use of the resource apply. However, because permits are distributed randomly and trade is restricted, permits may not be used by those who value them most. We argue that restrictions on permit transfers is a policy response designed to limit entry when interest group membership is not distinguishable ex ante, and characterize the economic/informational conditions under which post-lottery prohibitions on trade are likely to arise. We develop our model using the specific case of the Four Rivers Lottery used to allocate rafting permits on four river sections in Idaho.

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Notes

  1. This self-sorting is akin to another set of models in the public utility capacity constraint literature, also reviewed by Crew et al. (1995), in which firms facing rationing due to utility capacity constraints participate in ancillary capacity markets of various possible forms (Panzar and Sibley 1978; Wilson 1989, for example). In the case of the restricted lottery we examine, the trade prohibition itself acts as the mechanism by which those with high willingness to pay for resource use are selected into the lottery, and those with low or no willingness to pay for resource use are selected out.

  2. For our purposes, the terms “transfer” and “trade” are synonyms.

  3. Despite this bit of redundancy, we will use the full terms user/buyer and nonuser/seller for clarity and consistency.

  4. Trip length is somewhat flexible but depends importantly on river water flows, which vary substantially over the season due primarily to the timing of snow melt.

  5. River days are substitutes for each other and therefore characteristics and permit availability for one river day affect demand for permits on other river days. We abstract from this complication by focusing on only one river day, but the availability of substitutes remains implicit in the demand structure.

  6. As with any non-divisible good, \(q\) is a discrete number. However, the discrete nature of permits (and permit holders) is of little consequence for this analysis, so we treat \(q\) as a continuous variable for the formal analytics.

  7. Boyce (1994) assumes that the fees collected from a lottery are rebated to the population. To be consistent with our example of the Four Rivers Lottery and most other natural resource lotteries, we assume that fees are only rebated back to the resource users in the form of resource maintenance.

  8. This subsection provides results analogous to results presented in Boyce (1994) and Scrogin et al. (2000).

  9. The assumption that \(\psi =\eta \cdot s \le 1\) is not strictly necessary, but it eases interpretation and could be justified as follows. The total contribution to \(v(q)\) associated with \(G\) through maintenance can be written as \(\eta s\frac{G}{\bar{q}}\), where \(\frac{G}{\bar{q}}\) is government expenditures per permit holder. If these dollars were given directly back to permit holders instead of used for maintenance, the willingness to pay for this reimbursement would be exactly \(1 \cdot \frac{G}{\bar{q}}\). The assumption \(\psi =\eta \cdot s \le 1\) implies that a dollar spent on maintenance provides no more than a dollar’s worth of benefit to a permit holder.

  10. Boyce (1994) derives and illustrates the same surplus measure, but in a different form. Our representation provides easier comparison for the types of lottery structures we examine here.

  11. Although initial lottery allocation is random, the aggregate post-trade surplus is actually known with certainty when trade is allowed. However, we maintain the “expected surplus” terminology for consistency across lottery regimes.

  12. The number of users given no trade, \(q_0^n\), is generally less than the number of users given trade, \(q_0^t\), because the increased number of applications when trade is allowed increases the expenditures on maintenance, which in turn increases the number of users, \(q_0\).

  13. For \(\bar{q}\ge q^t_0\), the lottery is non-binding, and total surplus would thereafter be \((\beta /2)\bar{q}q^t_0\).

  14. We show in Appendix Sect. 1.1.4 that \(q_a^e > q_a^n\).

  15. Note that the $4 permit fee is paid for each member of the rafting group. We assume that each of them pays their own permit fees, and that every applicant makes their application decision independently of other potential members of their group.

  16. One interesting exception is for \(\bar{q}=1\), where \(E[S^e]\) is less than \(E[S^n]\), and even negative. Recall Eq. 13, which shows that \(E[S^e]\) is equal to the sum of the expected surplus of the tradable lottery and twice the expected surplus from the nontradable permit lottery, minus a multiple of the difference between \(q^e_a\) and \(q^n_a\). Figure 3c shows that this difference is largest for low \(\bar{q}\). Under our specification, the effect outweighs \(E[S^t]\), leading to the reversal in \(E[S^e]\) and \(E[S^n]\).

  17. Although not shown, both sellers and buyers gain higher per-person surpluses with exclusive tradable permits than their counterparts in the other lottery types.

  18. The expected surplus for exclusive tradable permits is not illustrated with an additional figure, but it looks essentially the same as the \(E[S^n|buy]\) and \(E[S^n|sell]\) functions in Fig. 3d, but larger in magnitude for both potential buyers and sellers.

  19. Note that in principle an individual could provide or accept a side payment for the difference in the value of two permits being swapped. However, even in this case the value of the least valuable permit would be lost.

  20. After 2005, the number of permits exceeded the number of applicants, making the lottery unnecessary.

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Acknowledgments

Funding for this research was provided by the United States Forest Service under agreement number 06-JV-1122167-125. Additional support was provided by the Washington State University Agricultural Research Center under project numbers WNP00539 and WPN0054. We thank Phil Wandschneider, Michael Crew, and two anonymous referees for helpful comments. Thanks also to participants at the 2009 the CU Environmental and Resource Economics Workshop and the 2007 Western Agricultural Economics Association Meetings.

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Correspondence to Jonathan K. Yoder.

1 Appendix

1 Appendix

This appendix provides derivations of several results referred to in the text.

1.1 1.1. Comparisons of number of applicants

1.1.1 1.1.1. The number users for nontradable permits is greater than the number of applicants.

To prove \(q_0^n > q^n_a\), note that the marginal applicant for a nontradable permit is \(\frac{\bar{q}}{q_a^{n}} \cdot v(\bar{q}) = f_a+(\bar{q}/q_a^{n}) f_p\). Substituting \(v(\bar{q})=\alpha -\beta \bar{q}-\gamma \bar{q}+(\eta /\bar{q})M\) and rearranging provides

$$\begin{aligned} \left( \alpha - \gamma \bar{q} + (\eta /\bar{q}) M\right) = \beta q_a^n + (q_a^{n}/\bar{q})f_a + f_p. \end{aligned}$$

By definition, WTP=0 at \(q_0^n\): \(\alpha -\beta q^0 -\gamma \bar{q} + (\eta /\bar{q})M=0\), which we can rewrite as

$$\begin{aligned} \left( \alpha - \gamma \bar{q} + (\eta /\bar{q}) M\right) = \beta q^0_n. \end{aligned}$$

The left-hand side of the two displayed equations above are identical, so substituting \(\beta q_0^n\) from the latter into the former displayed equation and rearranging provides \( q_a^n = q_0^n - (1/\beta )((q_a^n/\bar{q})f_a+f_p)\). The term after the minus sign must be positive, implying \( q_0^n > q_a^n\).

1.1.2 1.1.2. The number of applicants for nonexclusive tradable permits is greater than the number of applicants for nontradable permits

To show that \(q_a^t>q_a^n\), as long as there are any applicants at all, rearrange Eqs. 4 and 9, respectively, to get

$$\begin{aligned} q^n_a(\beta \bar{q}+f_a\psi )&= \bar{q}(\alpha - \gamma \bar{q}-f_p\psi ) \\ q^t_a f_a \psi + \beta \bar{q}&= \bar{q}(\alpha - \gamma \bar{q}-f_p\psi ). \end{aligned}$$

Setting the left sides equal to each other and rearranging provides

$$\begin{aligned} q^t_a = \frac{(q^n_a-1)\beta \bar{q}}{f_a\psi } + q^n_a >0,\qquad \text {for } q^n_a\ge 1. \end{aligned}$$

Thus, for practical purposes, there are always more applicants with tradable permits than nontradable.

1.1.3 1.1.3. The number of users compared to the number of applicants for tradable permits

For \(q_0^t \gtrless q^t_a\), consider the marginal applicant’s decision condition \(\frac{\bar{q}}{q_a^{t}} \cdot v(\bar{q}) = f_a+\frac{\bar{q}}{q_a^{t}} f_p\). Manipulation and provides

$$\begin{aligned} \frac{\bar{q}}{f_a}\left( \beta (q_0^t-\bar{q})-f_p\right) =q_a^t. \end{aligned}$$

So the relationship between \(q_0^t\) and is \(q_a^t\) ambiguous. However, for our simulations, \(q_a^t\) is larger than \(q_0^t\) for reasonable ranges of the policy parameters, as illustrated in Fig. 4.

Fig. 4
figure 4

\(q_0^t\) versus \(q^t_a\) as a function of policy parameters. a Applicants \(q_a\) and users \(\bar{q}_0\) as a function of available permits. b Applicants \(q_a\) and users \(\bar{q}_0\) as a function of application fees. c Applicants \(q_a\) and users \(\bar{q}_0\) as a function of permit fees

In fact, a comparison with Fig. 4a–c show that \(q^t_a\) is larger than \(q_0^t\) for approximately the entire positive surplus space for exclusive tradable lotteries.

1.1.4 1.1.4. The number of applicants for exclusive tradable permits is greater than the number of applicants for nontradable permits

Equation 12 representing \(q_a^e \) can be rewritten as

$$\begin{aligned} q^e_a = \frac{[\bar{q}(\alpha -\bar{q}\gamma - f_p\psi )] + \bar{q}f_p}{[\beta \bar{q}+f_a\psi ]-f_a}. \end{aligned}$$

A comparison to \(q^n_a\) in Eq. 4 shows that the contents of the brackets in the numerator and denominator are the numerator and denominator of \(q^n_a\), respectively. Thus, the numerator of \(q^e_a\) is bigger than that of \(q^n_a\) and the denominator is smaller, implying \(q_a^e > q_a^n\).

1.2 1.2. User surplus

1.2.1 1.2.1. Surplus for nonexclusive tradable permits

For nonexclusive, tradable permits, total surplus can be broken down into six categories

$$\begin{aligned} E[S^t]&= [\text {winning buyers}] + [\text {losing buyers}] \\&\quad + [\text {winning user/sellers}] + [\text {losing user/sellers}] \\&\quad + [\text {winning nonusers}] + [\text {losing nonusers}]. \end{aligned}$$

Letting \(\pi =\bar{q}/q^t_a\) equal the probability of winning, and maintaining brackets above,

$$\begin{aligned} E[S^t]&= \left[ \pi \int _0^{\bar{q}} v(q) -f_p-f_a dq\right] + \left[ (1-\pi )\int _0^{\bar{q}} v(q) - \bar{v} - f_a dq\right] \\&\quad + \left[ \pi (q^t_0-\bar{q})(\bar{v}-f_p-f_a)\right] + \left[ (1-\pi )(q^t_0-\bar{q})(-f_a) \right] \\&\quad + \left[ \pi (q^t_a-q^t_0)(\bar{v}-f_p-f_a)\right] + \left[ (1-\pi )(q^t_a-q^t_0)(-f_a)\right] . \end{aligned}$$

This can also be simplified to

$$\begin{aligned} E[S^t]&= [\text {user buyers}] + [\text {user/sellers}] + [\text {nonusers}] \\&= \left[ \int _0^{\bar{q}} v(q) dq - \bar{q}(\pi f_p + (1-\pi )\bar{v} - f_a)\right] \\&\quad + \left[ (q^t_0-\bar{q})(\pi (\bar{v} - f_p) - f_a) \right] \\&\quad + \left[ (q^t_a-q^t_0)(\pi (\bar{v}-f_p) - f_a) \right] . \end{aligned}$$

1.2.2 1.2.2. Surplus for exclusive tradable permits

Without substituting the parameterized version of \(q^e_a\), which, after some minor manipulation provides

$$\begin{aligned} E[S^e]&= -(1/2)(\beta +2\gamma )\bar{q}^2 + \alpha \bar{q} + f_p(s\eta -1)\bar{q}+ f_aq^e_a(s\eta -1)\\&= (\beta /2)\bar{q}^2 + \bar{q}(\alpha - \gamma \bar{q}-f_p\psi ) - f_a q^e_a\psi \\&= (\beta /2)\bar{q}^2 + q^n_a\beta \bar{q}+ q^n_af_a\psi - f_aq^e_a\psi \\&= E[S^t] + 2E[S^n] + f_a\psi (q^n_a-q^e_a). \end{aligned}$$

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Ohler, A.M., Chouinard, H.H. & Yoder, J.K. Interest group incentives for post-lottery trade restrictions. J Regul Econ 45, 281–304 (2014). https://doi.org/10.1007/s11149-014-9246-y

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