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Endogenous market regulation in a signaling model of lobby formation

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Abstract

This paper aims at explaining industry protection in a context in which the government cannot observe the state of market demand. We develop an asymmetric information model and use the tools of contract theory in order to understand (1) how the level of industry protection is endogenously determined, and (2) why some industries decide to engage in large lobbying costs to become politically active. Our model offers plausible explanations to phenomena such as the “loser’s paradox”, where weak industries receive the most protection although strong industries are the ones that spend more resources on lobbying activities. The model also allows for an analysis of the influence that lobbying costs have on the decision to organize actively as a lobby.

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Notes

  1. See Stigler (1971) and Peltzman (1976).

  2. This setting departs from the standard menu-auction approach, based on the theory of common agency (Bernheim and Whinston 1986), which was first adapted to the study of lobbying in a context of trade regulation by Grossman and Helpman (1994) and that has been followed by many authors since then.

  3. Steel, autos, consumer electronic products, or agriculture are sectors typically subject to intervention through quotas. Licensure or other forms of entry restriction are also frequently used to regulate small businesses or professional sectors. However, the reason why we use a production quota as an instrument for market protection lies in its simplicity. We recognise that there are many other forms of market regulation, but considering quotas is hepful to visualize directly the impact on social welfare of governmental market intervention.

  4. The empirical evidence regarding the excessive protection received by declining industries has been documented in Hufbauer and Rosen (1986), Hufbauer et al. (1986) or Ray (1991). Agriculture, textile or steel are among the most protected sectors. However, according to the data provided by the Center for Responsive Politics (http://www.opensecrets.org), the top five industries in lobbying expenditures are: Pharmaceutical and Health products, Insurance, Electric Utilities, Oil and Gas, and Telephone Utilities. In contrast, Agriculture, Textile and Steel are ranked 24th, 76th and 53th by lobbying expenditures respectively.

  5. For a survey of the arguments that support the hypothesis that politicians will not renege on agreements with interest groups, see Snyder (1992).

  6. See, for instance Austen-Smith (1993).

  7. The importance of upfront costs in the decision of lobbying actively or not has been stressed in the literature. See for instance Bombardini (2008), Grossman and Helpman (1994), or Masters and Keim (1985).

  8. See, for instance, Pecorino (1998) and Magee (2002).

  9. The derivatives are taken with respect to good x.

  10. There are many examples of competitive markets intervened through production quotas: Licensing in professional sectors, the Common Agricultural Policy implemented in the EU, some types of environmental regulations, etc. The choice of a competitive scenario finds empirical support in Bombardini and Trebbi (2012), who show that firms in competitive markets are more likely to form industry groups.

  11. This is true for a certain range of quotas. As it will become apparent in next sections, the profit function is decreasing in X in the relevant interval of possible quotas.

  12. In our model, parameter \(\gamma \) represents the weight that the government places on the transfer from the industry relative to social welfare. According to most estimates of the GH model in the literature, the value of \( \gamma \) is relatively small. See, for instance, Goldberg and Maggi (1999) and Gawande and Bandyopadhyay (2000). A more recent estimation by Tovar (2011) finds that, if endogenous lobbying costs are incorporated in the trade protection model, the weight of contributions relative to social welfare increases with respect to previous empirical studies. See also Footnote 5 in Breton and Salanie (2003), for different estimates of the weight the policy-maker puts on campaign contributions with respect to social welfare goals.

  13. In a companion paper, Candel-Sánchez and Perote-Peña (2012) explore this possibility using a probabilistic voting model with rent distribution à la Lindbeck and Weibull (1987).

  14. See, for instance Goldberg and Maggi (1999), Gawande and Bandyopadhyay (2000), or Tovar (2011).

  15. This specification may be enriched by incorporating the fact that, within unorganized industries, some firms may accept the regulation proposed by the government while others could reject it. In order to have an analytically tractable structure for such an scenario, though, we would need to introduce some kind of heterogeneity across firms.

  16. See Lohmann (1993) for a signaling model of lobbying in which individuals engage in costly political action. Instead, our approach considers the industry as the unit of analysis.

  17. The informative power of contracts is analyzed, for instance, in Stadler (2001).

  18. In Baldwin and Robert-Nicoud (2007), entry in the industry erodes the lobbying rents in expanding industries. However, in declining industries, sunk costs erode entry and make losers lobby harder. Persistence of protection in the course of industry decline is explained in Braillard and Verdier (1994), and a negative bias against growing industries is documented in Brainard and Verdier (1997).

  19. See Jensen and Nielsen (2004) for an estimation of quota rents in EU dairy policy. These authors analyze the abolition of raw milk quota and estimate an output increase of 3% and a price decline of 22%.

  20. From the point of view of the whole game, the pooling equilibria may only take place in the organization stage. In the regulation stage there always exist separating equilibria in both the screening and signaling scenarios analyzed.

  21. Some important aspects that influence the organization and common action of lobbies are relative to their internal structure. In particular, the size of the group and its consequences with respect to the free rider problem are critical elements in explaining the emergence of lobbies.

  22. Copa (European farmers) and Cogeca (European agri-cooperatives) bring together 60 EU farmers’ organizations and 35 EU agricultural cooperative organizations, respectively.

References

  • Austen-Smith D (1993) Information and influence: lobbying for agendas and votes. Am J Polit Sci 37:799–833

    Article  Google Scholar 

  • Baron DP (2006) Competitive lobbying and supermajorities in a majority-rule institution. Scand J Econ 108:607–642

    Article  Google Scholar 

  • Baldwin RE, Robert-Nicoud F (2007) Entry and asymmetric lobbying: why governments pick losers. J Eur Econ Assoc 5:1064–1093

    Article  Google Scholar 

  • Becker GS (1983) A theory of competition among pressure groups for political influence. Q J Econ 98:371–400

    Article  Google Scholar 

  • Bennedsen M, Feldman SE (2006) Informational lobbying and political contributions. J Public Econ 90:631–656

    Article  Google Scholar 

  • Bernheim BD, Whinston MD (1986) Common agency. Econometrica 54:923–942

    Article  Google Scholar 

  • Bhagwati JN (1982) Directly unproductive, profit-seeking (DUP) activities. J Polit Econ 90:988–1002

    Article  Google Scholar 

  • Bradford S (2000) Rents, votes, and protection: explaining the structure of trade barriers across industries. In: Econometric society world congress 2000 contributed papers (no. 1717). Econometric Society

  • Bombardini M (2008) Firm heterogeneity and lobby participation. J Int Econ 75:329–348

    Article  Google Scholar 

  • Bombardini M, Trebbi F (2012) Competition and political organization: together or alone in lobbying for trade policy. J Int Econ 87:18–26

    Article  Google Scholar 

  • Braillard SL, Verdier T (1994) Lobbying and adjustment in declining industries. Eur Econ Rev 38:586–595

    Article  Google Scholar 

  • Brainard SL, Verdier T (1997) The political economy of declining industries: senescent industry collapse revisited. J Int Econ 42:221–237

    Article  Google Scholar 

  • Candel-Sánchez F, Perote-Peña J (2012) A political economy model of market intervention. Public Choice pp 1–13

  • Cho IK, Kreps D (1987) Signaling games and stable equilibria. Q J Econ 102:179–221

    Article  Google Scholar 

  • Cotton C (2009) Should we tax or cap political contributions? A lobbying model with policy favors and access. J Public Econ 93:831–842

    Article  Google Scholar 

  • Dahm M, Porteiro N (2008) Informational lobbying under the shadow of political pressure. Soc Choice Welf 20:531–559

    Article  Google Scholar 

  • Gawande K, Bandyopadhyay U (2000) Is protection for sale? Evidence on the Grossman–Helpman theory of endogenous protection. Rev Econ Stat 82(1):139–152

    Article  Google Scholar 

  • Goldberg PK, Maggi G (1999) Protection for sale: an empirical investigation. Am Econ Rev 89(5):1135

    Article  Google Scholar 

  • Grossman GM, Helpman EI (1994) Protection for sale. Am Econ Rev 84:833–850

    Google Scholar 

  • Hillman AL (1982) Declining industries and political-support protectionist motives. Am Econ Rev 72:1180–87

    Google Scholar 

  • Hufbauer GC, Rosen H (1986) Trade policy for troubled industries. Policy Analyses in International Economics 15. Institute for International Economics

  • Hufbauer GC, Berliner DT, Elliott KA (1986) Trade protection in the United States: 31 case studies. Thunderbird Int Bus Rev 28(2):26–27

    Google Scholar 

  • Jensen HG, Nielsen CP (2004) EU dairy policy analysis: assessing the importance of quota rent estimates. In: Seventh annual conference on global economic analysis, Washington, DC

  • Kerr W, Lincoln W, Michra P (2013) The dynamics of firm lobbying. Am Econ J: Econ Policy 6:343–379

    Google Scholar 

  • Kreps DM, Wilson R (1982) Sequential equilibria. Econometrica, pp 863–894

  • Le Breton M, Salanie F (2003) Lobbying under political uncertainty. J Public Econ 87:2589–2610

    Article  Google Scholar 

  • Lindbeck A, Weibull JW (1987) Balanced-budget redistribution as the outcome of political competition. Public Choice 52:273–297

    Article  Google Scholar 

  • Lohmann S (1993) A signaling model of informative and manipulative political action. Am Polit Sci Rev, pp 319–333

  • Lohmann S (1995) Information, access, and contributions: a signaling model of lobbying. Public Choice 85:267–284

    Article  Google Scholar 

  • Lohmann S (2003) Representative government and special interest politics (we have met the enemy and he is us). J Theor Polit 15:299–319

    Article  Google Scholar 

  • Magee C (2002) Endogenous trade policy and lobby formation: an application to the free-rider problem. J Int Econ 57:449–471

    Article  Google Scholar 

  • Magee SP, Brock WA, Young L (eds) (1989) Black hole tariffs and endogenous policy theory: political economy in general equilibrium. Cambridge University Press, Cambridge

  • Masters MF, Keim GD (1985) Determinants of PAC participation among large corporations. J Polit 47:1158–1173

    Article  Google Scholar 

  • Mitra D (1999) Endogenous lobby formation and endogenous protection: a long-run model of trade policy determination. Am Econ Rev pp 1116–1134

  • Olson M (1965) The logic of collective action: public goods and the theory of groups. Harvard University Press, Cambridge

    Google Scholar 

  • Pecorino P (1998) Is there a free-rider problem in lobbying? Endogenous tariffs, trigger strategies, and the number of firms. Am Econ Rev 88(3):652–660

    Google Scholar 

  • Peltzman S (1976) Toward a more general theory of regulation. J Law Econ 19:211–240

    Article  Google Scholar 

  • Potters J, Van Winden F (1992) Lobbying and asymmetric information. Public Choice 74:269–292

    Article  Google Scholar 

  • Posner RA (1975) The social cost of monopoly and regulation. J Polit Econ 83:807–828

    Article  Google Scholar 

  • Ray EJ (1991) Protection of manufactures in the United States. In: Global protectionism (pp 12–36). Palgrave Macmillan, UK

  • Snyder JM Jr (1992) Long-term investing in politicians; or, give early, give often. J Law Econ 35:15

    Article  Google Scholar 

  • Spence M (1973) Job market signaling. Q J Econ, pp 355–374

  • Stadler IM (2001) An Introduction to the Economics of Information: Incentives and Contracts. Oxford University Press, Oxford

    Google Scholar 

  • Stigler GJ (1971) The theory of economic regulation. Bell J Econ 2:3–21

    Article  Google Scholar 

  • Tovar P (2011) Lobbying costs and trade policy. J Int Econ 83:126–136

    Article  Google Scholar 

  • Trefler D (1993) Trade liberalization and the theory of endogenous protection: an econometric study of US import policy. J Polit Econ 101(1):138–160

    Article  Google Scholar 

Download references

Acknowledgements

We are indebted to Sandro Brusco and Jonathan Thomas for valuable comments and suggestions. Financial support from the Spanish Ministry of Economy and Competitiveness through MEC/FEDER Grant ECO2013-44483-P is gratefully acknowledged.

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Correspondence to Francisco Candel-Sánchez.

Appendix

Appendix

Proof of Proposition 3.1

We rewrite the condition \(\pi ^{\prime }(X,\overline{\theta })>\pi ^{\prime }(X,\underline{\theta })\) for all \(X\ \) as

$$\begin{aligned} u^{\prime }\left( \frac{X}{n},\overline{\theta }\right) -u^{\prime }\left( \frac{X}{n}, \underline{\theta }\right) >\left[ u^{\prime \prime }\left( \frac{X}{n},\underline{\theta }\right) -u^{\prime \prime }\left( \frac{X}{n},\overline{\theta }\right) \right] \frac{X}{n}. \end{aligned}$$

The left hand side of the above inequality is positive. We now multiply the right hand term into brackets by \(\frac{\gamma }{1+\gamma }\), which is in between zero and one, to obtain:

$$\begin{aligned} u^{\prime }\left( \frac{X}{n},\overline{\theta }\right) -u^{\prime }\left( \frac{X}{n}, \underline{\theta }\right) >\frac{\gamma }{1+\gamma }\left[ u^{\prime \prime }\left( \frac{X}{n},\underline{\theta }\right) -u^{\prime \prime }\left( \frac{X}{n},\overline{ \theta }\right) \right] \frac{X}{n}. \end{aligned}$$

We add and subtract c to the left hand side of the above expression, multiply both sides of the inequality by \(1+\gamma >0\) and reorder the expression to obtain:

$$\begin{aligned}&\gamma u^{\prime \prime }\left( \frac{X}{n},\overline{\theta }\right) \frac{X}{n}+\left( 1+\gamma \right) \left[ u^{\prime }\left( \frac{X}{n},\overline{\theta }\right) -c\right] \\&\quad >\gamma u^{\prime \prime }\left( \frac{X}{n},\underline{\theta }\right) \frac{X}{n} +\left( 1+\gamma \right) \left[ u^{\prime }\left( \frac{X}{n},\underline{\theta } \right) -c\right] . \end{aligned}$$

Provided that \(\pi ^{\prime }(X,\theta )=u^{\prime }(\frac{X}{n},\theta )+u^{\prime \prime }(\frac{X}{n},\theta )\frac{X}{n}-c\) and \(s^{\prime }(X,\theta )=-u^{\prime \prime }(\frac{X}{n},\theta )\frac{X}{ n^{2}}\) for all \(\theta \), we write the above inequality as:

$$\begin{aligned} ns^{\prime }(X,\overline{\theta })+\left( 1+\gamma \right) \pi ^{\prime }(X, \overline{\theta })>ns^{\prime }(X,\underline{\theta })+\left( 1+\gamma \right) \pi ^{\prime }(X,\underline{\theta }). \end{aligned}$$

That is, we have \(w^{\prime }(X,\overline{\theta })+\gamma \pi ^{\prime }(X, \overline{\theta })>w^{\prime }(X,\underline{\theta })+\gamma \pi ^{\prime }(X,\underline{\theta })\ \)for all X. The condition that characterizes a maximum is \(w^{\prime }(X,\theta )+\gamma \pi ^{\prime }(X,\theta )=0\) for \( \theta =\overline{\theta },\underline{\theta }\), and function \(w(X,\theta )+\gamma \pi (X,\theta )\) is strictly concave. Therefore \(X_{r}^{*}( \overline{\theta })>X_{r}^{*}(\underline{\theta })\), as we wanted to prove.

Proof of Proposition 3.2

Constraints (c) and (b) imply constraint (a) since:

$$\begin{aligned} \pi (\overline{X}_{r},\overline{\theta })-\overline{Z}_{r}\ge \pi ( \underline{X}_{r},\overline{\theta })-\underline{Z}_{r}>\pi (\underline{X} _{r},\underline{\theta })-\underline{Z}_{r}\ge 0. \end{aligned}$$

Therefore, the participation constraint for the high type industry is redundant.

We call \(\lambda \), \(\mu \) and \(\delta \) the Lagrange multipliers associated to inequalities (b), (c) and (d) respectively. The first order conditions of the maximization program are the following:

$$\begin{aligned} \dfrac{\partial L}{\partial \overline{X}_{r}}= & {} qw^{\prime }(\overline{X} _{r},\overline{\theta })+\mu \pi ^{\prime }(\overline{X}_{r},\overline{\theta })-\delta \pi ^{\prime }(\overline{X}_{r},\underline{\theta })=0, \end{aligned}$$
(7.1)
$$\begin{aligned} \dfrac{\partial L}{\partial \underline{X}_{r}}= & {} (1-q)w^{\prime }( \underline{X}_{r},\underline{\theta })+\left( \lambda +\delta \right) \pi ^{\prime }(\underline{X}_{r},\underline{\theta })-\mu \pi ^{\prime }( \underline{X}_{r},\overline{\theta })=0, \end{aligned}$$
(7.2)
$$\begin{aligned} \dfrac{\partial L}{\partial \overline{Z}_{r}}= & {} q\gamma -\mu +\delta =0, \end{aligned}$$
(7.3)
$$\begin{aligned} \dfrac{\partial L}{\partial \underline{Z}_{r}}= & {} (1-q)\gamma -\left( \lambda +\delta \right) +\mu =0. \end{aligned}$$
(7.4)

From (7.3), we obtain \(\delta =\mu -q\gamma \). Substituting \(\delta \) into (7.4) we find \(\lambda =\gamma >0\), implying that the acceptance constraint for the low type holds with equality. The inequalities in (c) and (d) and jointly with the assumption \(\pi (X, \overline{\theta })>\pi (X,\underline{\theta })\) for all X, allow us to write the following chain of inequalities:

$$\begin{aligned} \pi (\overline{X}_{r},\overline{\theta })-\overline{Z}_{r}\ge \pi ( \underline{X}_{r},\overline{\theta })-\underline{Z}_{r}>\pi (\underline{X} _{r},\underline{\theta })-\underline{Z}_{r}\ge \pi (\overline{X}_{r}, \underline{\theta })-\overline{Z}_{r}, \end{aligned}$$
(7.5)

from which we derive:

$$\begin{aligned} \pi (\overline{X}_{r},\overline{\theta })-\pi (\overline{X}_{r},\underline{ \theta })\ge \pi (\underline{X}_{r},\overline{\theta })-\pi (\underline{X} _{r},\underline{\theta }). \end{aligned}$$
(7.6)

Since function \(\pi (X,\overline{\theta })-\pi (X,\underline{\theta })\) is strictly increasing in X, the inequality in (7.6) implies that \(\overline{X }_{r}\ge \underline{X}_{r}\). Now observe that \(\mu =0\) would imply \(\delta <0\), by Eq. (7.3). Then, it holds that \(\mu >0\), meaning that expression (7.5) holds with equality. If the third inequality were also an equality (i.e. if \(\delta >0\)), from Eq. (7.6) we would obtain \(\overline{X}_{r}= \underline{X}_{r}\). Therefore, \(\delta >0\) if and only if \(\overline{X}_{r}= \underline{X}_{r}\).

In order to prove that \(\overline{X}_{r}>\underline{X}_{r}\), we just need to show that \(\overline{X}_{r}\ne \underline{X}_{r}\) provided that we already know that \(\overline{X}_{r}\ge \underline{X}_{r}\). We proceed by contradiction. Suppose that \(\overline{X}_{r}=\underline{X}_{r}\), i.e., that \(\delta >0\). Then, Eq. (d) holds with equality. Since \(\overline{X}_{r}= \underline{X}_{r}\), we must have \(\overline{Z}_{r}=\underline{Z}_{r}\). If \(\overline{X}_{r}=\underline{X}_{r}=X\) and \(\overline{Z}_{r}=\underline{Z} _{r}=Z\), Eqs. (7.1) and (7.2) remain respectively as:

$$\begin{aligned} qw^{\prime }(X,\overline{\theta })+\mu \pi ^{\prime }(X,\overline{\theta } )-\delta \pi ^{\prime }(X,\underline{\theta })= & {} 0, \\ (1-q)w^{\prime }(X,\underline{\theta })+\left( \lambda +\delta \right) \pi ^{\prime }(X,\underline{\theta })-\mu \pi ^{\prime }(X,\overline{\theta })= & {} 0. \end{aligned}$$

We plug \(\mu =\delta +q\gamma \) from Eq. (7.3) into the first equation above, and \(\lambda +\delta =\mu +\gamma (1-q)\) from Eq. (7.4) into the second, and solve both equations for \(\delta \) and \(\mu \) respectively. We obtain

$$\begin{aligned} \delta =\frac{-q\left[ w^{\prime }(X,\overline{\theta })+\gamma \pi ^{\prime }(X,\overline{\theta })\right] }{\pi ^{\prime }(X,\overline{\theta })-\pi ^{\prime }(X,\underline{\theta })}, \end{aligned}$$
(7.7)

and

$$\begin{aligned} \mu =\frac{(1-q)\left[ w^{\prime }(X,\underline{\theta })+\gamma \pi ^{\prime }(X,\underline{\theta })\right] }{\pi ^{\prime }(X,\overline{\theta })-\pi ^{\prime }(X,\underline{\theta })}. \end{aligned}$$
(7.8)

We know that \(\delta >0\) by hypothesis and \(\mu >0\) by Eq.(7.3). We also know that \(\pi ^{\prime }(X,\overline{\theta })-\pi ^{\prime }(X,\underline{ \theta })>0\). Therefore, Eqs. (7.7) and (7.8) imply respectively that \( w^{\prime }(X,\overline{\theta })+\gamma \pi ^{\prime }(X,\overline{\theta } )<0\) and \(w^{\prime }(X,\underline{\theta })+\gamma \pi ^{\prime }(X, \underline{\theta })>0\), which cannot be true under our assumptions. Then, \( \delta =0\).

As \(\delta =0\), the incentive constraint for the industry of type \(\underline{\theta }\) holds with strict inequality. Next we show that the menu of contracts \(\left\{ (\overline{X}_{r},\overline{Z}_{r}),(\underline{X}_{r},\underline{Z}_{r})\right\} \) that solve the maximization program is characterized by the following equations:

$$\begin{aligned} \pi (\underline{X}_{r},\underline{\theta })-\underline{Z}_{r}= & {} 0, \end{aligned}$$
(7.9)
$$\begin{aligned} \pi (\overline{X}_{r},\overline{\theta })-\overline{Z}_{r}= & {} \pi ( \underline{X}_{r},\overline{\theta })-\underline{Z}_{r}, \end{aligned}$$
(7.10)
$$\begin{aligned} w^{\prime }(\overline{X}_{r},\overline{\theta })+\gamma \pi ^{\prime }( \overline{X}_{r},\overline{\theta })= & {} 0, \end{aligned}$$
(7.11)
$$\begin{aligned} q\gamma \left[ \pi ^{\prime }(\underline{X}_{r},\overline{\theta })-\pi ^{\prime }(\underline{X}_{r},\underline{\theta })\right]= & {} (1-q)\left[ w^{\prime }(\underline{X}_{r},\underline{\theta })+\gamma \pi ^{\prime }( \underline{X}_{r},\underline{\theta })\right] \end{aligned}$$
(7.12)

Eqs. (7.9) and (7.10) follow from \(\lambda >0\) and \(\mu >0\) respectively. Eq. (7.11) follows from Eq. (7.1) and \(\delta =0\). Finally, Eq. (7.12) follows from substituting \(\mu =\delta +q\gamma \) into Eq. (7.2) and taking into account that \(\delta =0\).

Notice that Eq. (7.11) is the equilibrium condition in the symmetric information case. Then \(\overline{X}_{r}=X_{r}^{*}(\overline{\theta })\). From Eqs. (7.9) and (7.10), and from the condition \(\pi (X,\overline{\theta } )>\pi (X,\underline{\theta })\) for all X, we conclude that the industry of type \(\overline{\theta }\) earns informational rents, since

$$\begin{aligned} \pi (\overline{X}_{r},\overline{\theta })-\overline{Z}_{r}=\pi (\underline{X} _{r},\overline{\theta })-\underline{Z}_{r}>\pi (\underline{X}_{r},\underline{ \theta })-\underline{Z}_{r}=0. \end{aligned}$$

Given that the production quota \(\overline{X}_{r}\) coincides with the symmetric information quota, \(X_{r}^{*}(\overline{\theta })\), the industry of type \(\overline{\theta }\) obtains informational rents if and only if \(\overline{Z}_{r}<Z_{r}^{*}(\underline{\theta })\). From Eq. (7.12) we have that \((1-q)\left[ w^{\prime }(\underline{X}_{r},\underline{ \theta })+\gamma \pi ^{\prime }(\underline{X}_{r},\underline{\theta })\right] >0\). Provided that function \(w(X,\underline{\theta })+\gamma \pi (X, \underline{\theta })\) is strictly concave and reaches its maximum at quota \(X_{r}^{*}(\underline{\theta })\), the condition \(w^{\prime }(\underline{X} _{r},\underline{\theta })+\gamma \pi ^{\prime }(\underline{X}_{r},\underline{ \theta })>0\) implies \(\underline{X}_{r}<X_{r}^{*}(\underline{\theta })\).

Now we prove that \(\underline{Z}_{r}>Z_{r}^{*}(\underline{\theta })\). Observe that \(\underline{Z}_{r}=\pi (\underline{X}_{r},\underline{\theta })\) and \(Z_{r}^{*}(\underline{\theta })=\pi (X_{r}^{*}(\underline{\theta }),\underline{\theta })\). Function \(\pi (X,\underline{\theta })\) is concave and reaches a maximum at \(X_{M}\) (the monopoly output). Provided that \(\underline{X}_{r}<X_{r}^{*}(\underline{\theta })\), we just need to prove that \(\underline{X}_{r}>X_{M}\) in order to obtain \(\pi (\underline{X}_{r}, \underline{\theta })>\pi (X_{r}^{*}(\underline{\theta }),\underline{ \theta })\). Suppose that \(\underline{X}_{r}\le X_{M}\). We show that in this case the regulator is not maximizing its utility. Consider \(\underline{X} _{r}=X_{M}-z\), with \(z\ge 0\). The value for the transfer is \(\pi (X_{M}-z, \underline{\theta })\). Since function \(\pi (X,\underline{\theta })\) has an inverted U shape, there exists \(h\ge 0\) such that \(\pi (X_{M}+h,\underline{\theta })=\pi (X_{M}-z,\underline{\theta })\). Observe that with quota \( X_{M}+h\) the regulator receives the same transfer, but the consumer surplus is higher, since \(s(X,\underline{\theta })\) is strictly increasing in X and \(X_{M}+h\ge X_{M}-z\). Therefore, any quota lower than the monopoly output cannot be part of the regulator’s proposal. We conclude that \(\underline{Z}_{r}>Z_{r}^{*}(\underline{\theta })\)

Proof of Proposition 4.1

The optimal quota proposed by a lobby is \(X_{l}^{*}(\theta )\) such that \(w^{\prime }(X_{l}^{*}(\theta ), \overline{\theta })+\gamma \pi ^{\prime }(X_{l}^{*}(\theta ),\overline{ \theta })=0\). Then, \(X_{l}^{*}(\theta )=X_{r}^{*}(\theta )\). On the other hand, the policy-maker’s utility is higher under quota \(X_{r}^{*}(\theta )\) than when the market is liberalized. Namely, \(w(X_{l}^{*}(\theta ),\theta )+\gamma Z_{r}^{*}(\theta )>w^{*}(\theta )\). From here, we obtain

$$\begin{aligned} Z_{l}^{*}(\theta )=\frac{1}{\gamma }\left[ w^{*}(\theta )-w(X_{l}^{*}(\theta ),\theta )\right] <Z_{r}^{*}(\theta ). \end{aligned}$$

Proof of Proposition 4.2

We prove that the set of policy pairs \(\left\{ (\overline{X}_{l},\overline{Z}_{l}),(\underline{X}_{l},\underline{Z}_{l})\right\} \) defined below together with beliefs \(\mu (X_{l},Z_{l})=1\) for \(\left( X_{l},Z_{l}\right) =\left( \underline{X}_{l},\underline{Z}_{l}\right) \) and \(\mu (X_{l},Z_{l})=0\) for all \(\left( X_{l},Z_{l}\right) \ne \left( \underline{X}_{l},\underline{Z} _{l}\right) \) constitute a sequential separating equilibrium of our signaling game that also satisfies the Intuitive Criterion (Cho and Kreps 1987). The pair \((\overline{X}_{l},\overline{Z}_{l})\) is:

$$\begin{aligned} (\overline{X}_{l},\overline{Z}_{l})=\left( X_{l}^{*}(\overline{\theta } ),Z_{l}^{*}(\overline{\theta })\right) , \end{aligned}$$

and the pair \((\underline{X}_{l},\underline{Z}_{l})\) is the solution to the following equations system:

$$\begin{aligned} \begin{array}{l} \underline{Z}_{l}=\frac{1}{\gamma }\left[ w^{*}(\underline{\theta })-w( \underline{X}_{l},\underline{\theta })\right] , \\ \pi (\underline{X}_{l},\overline{\theta })-\underline{Z}_{l}=\pi (\overline{X }_{l},\overline{\theta })-\overline{Z}_{l}. \end{array} \end{aligned}$$

First we show that any pair \((\overline{X}_{l},\overline{Z}_{l})\) different from \(\left( X_{l}^{*}(\overline{\theta }),Z_{l}^{*}(\overline{ \theta })\right) \) cannot be part of a separating equilibrium. We proceed by contradiction. Suppose that \((\overline{X}_{l},\overline{Z}_{l})\ne \left( X_{l}^{*}(\overline{\theta }),Z_{l}^{*}(\overline{\theta })\right) \) and that \((\overline{X}_{l},\overline{Z}_{l})\) belongs to a separating equilibrium. Then, by definition, \(\mu (\overline{X}_{l},\overline{Z}_{l})=0\) , i.e., the policy-maker is sure that the lobby is of type \(\overline{\theta }\) if the proposal is \((\overline{X}_{l},\overline{Z}_{l})\). This proposal is always accepted whenever \(w(\overline{X}_{l},\overline{\theta })+\gamma \overline{Z}_{l}\ge w^{*}(\overline{\theta })\). However, if the policy pair \(\left( X_{l}^{*}(\overline{\theta }),Z_{l}^{*}(\overline{ \theta })\right) \) were also accepted, provided that this pair maximizes the lobby’s payoff, then \((\overline{X}_{l},\overline{Z}_{l})\) could not belong to a separating equilibrium. Therefore, we just need to show that the policy \(\left( X_{l}^{*}(\overline{\theta }),Z_{l}^{*}(\overline{\theta } )\right) \) is always accepted, for any belief \(\mu ^{*}=\mu (X_{l}^{*}(\overline{\theta }),Z_{l}^{*}(\overline{\theta }))\) that this policy may induce on the policy-maker. Namely, it must hold that:

$$\begin{aligned}&\mu ^{*}\left[ w(X_{l}^{*}(\overline{\theta }),\underline{\theta } )+\gamma Z_{l}^{*}(\overline{\theta })\right] +\left( 1-\mu ^{*}\right) \left[ w(X_{l}^{*}(\overline{\theta }),\overline{\theta } )+\gamma Z_{l}^{*}(\overline{\theta })\right] \\&\quad \ge \mu ^{*}w^{*}(\underline{\theta })+\left( 1-\mu ^{*}\right) w^{*}(\overline{\theta }). \end{aligned}$$

Namely, the expected utility for the policy-maker in the pair \(\left( X_{l}^{*}(\overline{\theta }),Z_{l}^{*}(\overline{\theta })\right) \) is higher than the expected utility of rejecting the lobby’s proposal. Taking into account that the symmetric information pair \(\left( X_{l}^{*}(\overline{\theta }),Z_{l}^{*}(\overline{\theta })\right) \) satisfies \( w^{*}(\overline{\theta })=w(X_{l}^{*}(\overline{\theta }),\overline{ \theta })+\gamma Z_{l}^{*}(\overline{\theta })\) we can simplify and write the above inequality as:

$$\begin{aligned} \mu ^{*}\left[ \gamma Z_{l}^{*}(\overline{\theta })-w^{*}( \underline{\theta })+w(X_{l}^{*}(\overline{\theta }),\underline{\theta }) \right] \ge 0 \end{aligned}$$

As \(\mu ^{*}\ge 0\), it just need to be proven that \(Z_{l}^{*}( \overline{\theta })\ge \frac{1}{\gamma }\left[ w^{*}(\underline{\theta } )-w(X_{l}^{*}(\overline{\theta }),\underline{\theta })\right] \). For this purpose, it is sufficient to show that for any quota X, the minimum transfer that induces the policy-maker to accept a proposal depends positively on type \(\theta \). Let this transfer function be \(z(X,\theta )= \frac{1}{\gamma }\left[ w^{*}(\theta )-w(X,\theta )\right] \). We can write it as:

$$\begin{aligned} z(X,\theta )=\frac{n}{\gamma }\left\{ \int \limits _{\frac{X}{n}}^{x_{i}(c,\theta )} \left[ u^{\prime }(x,\theta )-c\right] dx\right\} . \end{aligned}$$

The inequality \(z(X,\overline{\theta })>z(X,\underline{\theta })\) holds provided that \(u^{\prime }(y,\overline{\theta })>u^{\prime }(y,\underline{ \theta })\) for all y. Hence,

$$\begin{aligned} Z_{l}^{*}(\overline{\theta })=z(X_{l}^{*}(\overline{\theta }), \overline{\theta })>z(X_{l}^{*}(\overline{\theta }),\underline{\theta })= \frac{1}{\gamma }\left[ w^{*}(\underline{\theta })-w(X_{l}^{*}( \overline{\theta }),\underline{\theta })\right] , \end{aligned}$$

so the pair \(\left( X_{l}^{*}(\overline{\theta }),Z_{l}^{*}( \overline{\theta })\right) \) is always accepted, as we wanted to show. Therefore \((\overline{X}_{l},\overline{Z}_{l})=\left( X_{l}^{*}( \overline{\theta }),Z_{l}^{*}(\overline{\theta })\right) \).

Next we characterize the pair \((\underline{X}_{l},\underline{Z}_{l})\). For this pair to be part of a separating equilibrium, the following conditions are necessary: (a) a lobby of type \(\overline{\theta }\) is not interested in making the proposal \((\underline{X}_{l},\underline{Z}_{l})\); (b) if the policy-maker believes that the lobby is type \(\underline{\theta }\), it accepts the pair \((\underline{X}_{l},\underline{Z}_{l})\); and (c) a lobby of type \(\underline{\theta }\) is better off under the pair \((\underline{X}_{l}, \underline{Z}_{l})\) than under \((\overline{X}_{l},\overline{Z}_{l})=\left( X_{l}^{*}(\overline{\theta }),Z_{l}^{*}(\overline{\theta })\right) \), i.e., it does not face incentives to masquerade as a high type. Each one of these conditions can be represented by a set of policy pairs. Thus, we define the corresponding sets \(A,\, B\) and C as follows:

$$\begin{aligned} A= & {} \left\{ (X_{l},Z_{l})\mid \pi (X_{l}^{*}(\overline{\theta }), \overline{\theta })-Z_{l}^{*}(\overline{\theta })\ge \pi (X_{l},\overline{\theta })-Z_{l}\right\} , \\ B= & {} \left\{ (X_{l},Z_{l})\mid w(X_{l},\underline{\theta })+\gamma Z_{l}\ge w^{*}(\underline{\theta })\right\} , \\ C= & {} \left\{ (X_{l},Z_{l})\mid \pi (X_{l},\underline{\theta })-Z_{l}\ge \pi (X_{l}^{*}(\overline{\theta }),\underline{\theta })-Z_{l}^{*}( \overline{\theta })\right\} . \end{aligned}$$

The policy proposal \((\underline{X}_{l},\underline{Z}_{l})\) is the solution to the program:

$$\begin{aligned} \left\{ \begin{array}{ll} Max_{\left\{ X_{l},Z_{l}\right\} } &{}\quad \pi (X_{l},\underline{\theta })-Z_{l} \\ s.t. &{}\quad (X_{l},Z_{l})\in A\cap B\cap C. \end{array} \right. \end{aligned}$$

Let \(\lambda \), \(\rho \) and \(\delta \) be the Lagrange multipliers associated to the constraints represented by sets A, B and C, respectively. We solve this program under the assumption that \(\delta =0\), and check later that the inequality in set C is not binding for the pair that solves the program. The pair \((\underline{X}_{l},\underline{Z}_{l})\) that solves the program fulfills the following F.O.C.:

$$\begin{aligned} \dfrac{\partial L}{\partial \underline{X}_{l}}= & {} \pi ^{\prime }(\underline{X}_{l},\underline{\theta })-\lambda \pi ^{\prime }(\underline{X}_{l}, \overline{\theta })+\rho \pi ^{\prime }(\underline{X}_{l},\underline{\theta } )+\rho s^{\prime }(\underline{X}_{l},\underline{\theta })=0, \end{aligned}$$
(7.13)
$$\begin{aligned} \dfrac{\partial L}{\partial \underline{Z}_{l}}= & {} -1+\lambda +\gamma \rho =0. \end{aligned}$$
(7.14)

From equation (7.14) we deduce that it is not possible that both \(\lambda \) and \(\rho \) are equal to zero. In particular, we prove next that both are positive, implying that the constraints represented by sets A and B hold with equality. Suppose that \(\rho =0\). Then, necessarily \(\lambda =1\) by Eq (7.14). But in this case, equation (7.13) remains as \(\pi ^{\prime }( \underline{X}_{l},\underline{\theta })-\pi ^{\prime }(\underline{X}_{l}, \overline{\theta })=0\), which is a contradiction with our assumptions. Suppose now that \(\lambda =0\). Again by equation (7.14) it must be that \( \rho =\frac{1}{\gamma }\). Substituting \(\lambda =0\) and \(\rho =\frac{1}{ \gamma }\) into Eq (7.13) yields \(w^{\prime }(\underline{X}_{l},\underline{ \theta })+\gamma \pi ^{\prime }(\underline{X}_{l},\underline{\theta })=0\), thus implying \(\underline{X}_{l}=X_{l}^{*}(\underline{\theta })\). However, in that case the lobby of type \(\overline{\theta }\) will propose the quota \(X_{l}^{*}(\underline{\theta })\) instead of \(X_{l}^{*}( \overline{\theta })=\overline{X}_{l}\), so a separating equilibrium would not exist. We conclude that \(\lambda \), \(\rho >0\), so the pair \((\underline{X} _{l},\underline{Z}_{l})\) is characterized by Eqs. (7.13) and (7.14) together with the constraints in sets A and B holding with equality. Substituting the value of \(\lambda \) obtained from Eq. (7.14) into Eq. (7.13) yields:

$$\begin{aligned} \left( 1+\rho \right) \left[ \pi ^{\prime }(\underline{X}_{l},\underline{ \theta })-\pi ^{\prime }(\underline{X}_{l},\overline{\theta })\right] +\rho \left[ ns^{\prime }(\underline{X}_{l},\underline{\theta })+\left( \gamma +1\right) \pi ^{\prime }(\underline{X}_{l},\overline{\theta })\right] =0. \end{aligned}$$

As \(\pi ^{\prime }(\underline{X}_{l},\underline{\theta })-\pi ^{\prime }( \underline{X}_{l},\overline{\theta })<0\) by hypothesis, for the above equation to hold it must be true that

$$\begin{aligned} ns^{\prime }(\underline{X}_{l},\underline{\theta })+\left( \gamma +1\right) \pi ^{\prime }(\underline{X}_{l},\overline{\theta })>0. \end{aligned}$$
(7.15)

From the constraints in A and B we derive the following expression, that determines the value for \(\underline{X}_{l}:\)

$$\begin{aligned} ns(\underline{X}_{l},\underline{\theta })+\pi (\underline{X}_{l},\underline{ \theta })+\gamma \pi (\underline{X}_{l},\overline{\theta })+\gamma \left[ \overline{Z}_{l}-\pi (\overline{X}_{l},\overline{\theta })\right] -w^{*}( \underline{\theta })=0. \end{aligned}$$
(7.16)

Let us define functions \(f(x)=ns(x,\underline{\theta })+\left( \gamma +1\right) \pi (x,\overline{\theta })+K\), \(h(x)=ns(x,\underline{\theta })+\pi (x,\underline{\theta })+\gamma \pi (x,\overline{\theta })+K\), and \(g(x)=w(x, \underline{\theta })+\gamma \pi (x,\underline{\theta })+K\), with \(K=\gamma \left[ \overline{Z}_{l}-\pi (\overline{X}_{l},\overline{\theta })\right] -w^{*}(\underline{\theta })\). Observe that functions f(.), h(.) and g(.) are strictly concave in x and our assumptions on function \(\pi \) imply that \(f(x)>h(x)>g(x)\) and \(f^{\prime }(x)>h^{\prime }(x)>g^{\prime }(x) \). Eqs. (7.15) and (7.16) can be expressed respectively as \(f^{\prime }( \underline{X}_{l})>0\) and \(h(\underline{X}_{l})=0\). Note that \(g^{\prime }(X_{l}^{*}(\underline{\theta }))=0\). Let us define \(\widetilde{y}\) and \(\widetilde{z}\) such that \(g(\widetilde{y})=0\), \(g^{\prime }(\widetilde{y} )>0,\, f(\widetilde{z})=0\), and \(f^{\prime }(\widetilde{z})>0\). Clearly \( \widetilde{y}<X_{l}^{*}(\underline{\theta })\) provided that \(X_{l}^{*}(\underline{\theta })\) is the maximum of g(.). From the properties of functions \(f(.),\,h(.)\) and g(.) there exists \(\widetilde{x}\in \left( \widetilde{z},\widetilde{y}\right) \) for which \(f^{\prime }(\widetilde{x})>0\) and \(h(\widetilde{x})=0\). It holds that \(\widetilde{x}=\underline{X}_{l}\). As long as \(\widetilde{y}<X_{l}^{*}(\underline{\theta })\) and \(\underline{X}_{l}<\widetilde{y}\) we conclude that \(\underline{X} _{l}<X_{l}^{*}(\underline{\theta })\).

In order to prove that \(\underline{Z}_{l}>Z_{l}^{*}(\underline{\theta })\), recall that the acceptance constraints of the policy-maker are binding both under symmetric and asymmetric information. Then we have that \( \underline{Z}_{l}=\frac{1}{\gamma }\left[ w^{*}(\underline{\theta })-w( \underline{X}_{l},\underline{\theta })\right] \). From the properties of w(.) and the fact that \(\underline{X}_{l}<X_{l}^{*}(\underline{\theta } )\) we obtain that \(\underline{Z}_{l}>Z_{l}^{*}(\underline{\theta })\).

Now we check that the value for the Lagrange multiplier \(\delta \) is zero. To see this, just notice that \((\underline{X}_{l},\underline{Z}_{l})\) is a maximum in set \(A\cap B\), and that the pair \(\left( X_{l}^{*}(\overline{ \theta }),Z_{l}^{*}(\overline{\theta })\right) \) also belongs to \(A\cap B\). Then, we have \(\pi (\underline{X}_{l},\underline{\theta })-\underline{Z} _{l}>\pi (X_{l}^{*}(\overline{\theta }),\underline{\theta })-Z_{l}^{*}(\overline{\theta })\), i.e., \(\delta =0\).

Finally, observe that the beliefs and strategies satisfy the so called Intuitive Criterion. The pair \(\left( \underline{X}_{l},\underline{Z} _{l}\right) \) is the only one that maximizes the lobby’s utility in the set \(A\cap B\). Hence, it is not “intuitive” that the policy-maker believes that the lobby is of type \(\underline{\theta }\) when observing a pair \((\widetilde{X}_{l},\widetilde{Z}_{l})\) different from \(\left( \underline{X} _{l},\underline{Z}_{l}\right) \). Suppose that the set of proposals and beliefs \(\left\{ (\overline{X}_{l},\overline{Z}_{l}),(\widetilde{X}_{l}, \widetilde{Z}_{l})\right\} \), with \((\widetilde{X}_{l},\widetilde{Z}_{l})\in A\cap B\) and \(\mu (\widetilde{X}_{l},\widetilde{Z}_{l})=1\), \(\mu (\overline{X }_{l},\overline{Z}_{l})=0\) is a sequential separating equilibrium. If a lobby deviates from such an equilibrium, then it must be a lobby of type \( \underline{\theta }\). The reason is that a lobby of type \(\overline{\theta }\) have no incentives to deviate from \((\overline{X}_{l},\overline{Z} _{l})=\left( X_{l}^{*}(\overline{\theta }),Z_{l}^{*}(\overline{ \theta })\right) \) for any beliefs that such a deviation induces on the policy-maker. Then, the pair \((\underline{X}_{l},\underline{Z}_{l})\) is the only one for which the described beliefs satisfy the Intuitive Criterion.

Proof of Proposition 5.1

Let organization costs C be such that inequalities (5.1) and (5.2) in the main text hold. If the policy-maker’s beliefs are \(\sigma (1)=1\) and \(\sigma (0)=0\), a separating equilibrium exist in which only industries facing strong demand get organized. For instance, consider the consumer’s utility function \(u(x_{i},\theta )=\theta x_{i}-\dfrac{1}{2}x_{i}^{2}\) and assume \(c=0\). The optimal quotas in each one of the regulatory frameworks considered are given by:

$$\begin{aligned} X_{r}^{*}(\overline{\theta })&=X_{l}^{*}(\overline{\theta })= \overline{X}_{r}=\overline{X}_{l}=n\frac{1+\gamma }{1+2\gamma }\overline{\theta }, \end{aligned}$$
(7.17a)
$$\begin{aligned} X_{r}^{*}(\underline{\theta })&=X_{l}^{*}(\underline{\theta })=n \frac{1+\gamma }{1+2\gamma }\underline{\theta }, \end{aligned}$$
(7.17b)
$$\begin{aligned} \underline{X}_{r}&=X_{r}^{*}(\underline{\theta })-\delta _{r}, \end{aligned}$$
(7.17c)
$$\begin{aligned} \underline{X}_{l}&=X_{l}^{*}(\underline{\theta })-\delta _{l}, \end{aligned}$$
(7.17d)

where

$$\begin{aligned} \delta _{r}=n\frac{q}{1-q}\frac{\gamma }{1+2\gamma }\left( \overline{\theta } -\underline{\theta }\right) \end{aligned}$$

and

$$\begin{aligned} \delta _{l}=n\frac{\gamma }{1+2\gamma }\left\{ \left[ \frac{2}{\gamma } \underline{\theta }\left( \overline{\theta }-\underline{\theta }\right) \right] ^{\frac{1}{2}}-\left( \overline{\theta }-\underline{\theta }\right) \right\} . \end{aligned}$$

Functions \(\delta _{r}\) and \(\delta _{l}\) represent distortions with respect to the symmetric information quotas established on weak demand industries, both for the case of regulation proposed by the policy-maker \(\left( \delta _{r}\right) \) as in the case of regulation proposed by the industry lobby \( \left( \delta _{l}\right) \). Consider now the following parameters: \(\gamma =2\); \(\underline{\theta }=1; \overline{\theta }=2\). The incentive conditions hold whenever \(-\frac{2}{5}n\le C\le \frac{4}{5}n\).

Next we show that a separating equilibrium in which industries facing weak demand choose \(v=1\) and industries facing strong demand choose \(v=0\) does not exist. The beliefs supporting such an equilibrium would be \(\sigma (1)=0\) and \(\sigma (0)=1\), with the following incentive conditions:

$$\begin{aligned} \pi (X_{l}^{*}(\underline{\theta }),\underline{\theta })-Z_{l}^{*}( \underline{\theta })-C\ge \pi (X_{r}^{*}(\overline{\theta }),\underline{ \theta })-Z_{r}^{*}(\overline{\theta }), \end{aligned}$$
(7.18)

and

$$\begin{aligned} 0=\pi (X_{r}^{*}(\overline{\theta }),\overline{\theta })-Z_{r}^{*}( \overline{\theta })\ge \pi (X_{l}^{*}(\underline{\theta }),\overline{ \theta })-Z_{l}^{*}(\underline{\theta })-C. \end{aligned}$$
(7.19)

The right hand side of inequality (7.18) must equal zero, as long as a negative payoff (earned by a low type industry when imposed a regulatory pair intended for high types) can always be avoided by rejecting the regulation. In inequality (7.19), the beliefs induced when the policy-maker observes \(v=1\) (the industry faces low demand), require the high type to make the symmetric information proposal of a low type.

We combine inequalities (7.18) and (7.19) to obtain the following chain of inequalities:

$$\begin{aligned} \pi (X_{l}^{*}(\underline{\theta }),\underline{\theta })-Z_{l}^{*}( \underline{\theta })-C\ge & {} \pi (X_{r}^{*}(\overline{\theta }), \underline{\theta })-Z_{r}^{*}(\overline{\theta })=0 \\= & {} \pi (X_{r}^{*}(\overline{\theta }),\overline{\theta })-Z_{r}^{*}( \overline{\theta })\ge \pi (X_{l}^{*}(\underline{\theta }),\overline{ \theta })-Z_{l}^{*}(\underline{\theta })-C. \end{aligned}$$

A necessary condition for this separating equilibrium to exist is:

$$\begin{aligned} \pi (X_{l}^{*}(\underline{\theta }),\underline{\theta })-Z_{l}^{*}( \underline{\theta })-C\ge \pi (X_{l}^{*}(\underline{\theta }),\overline{ \theta })-Z_{l}^{*}(\underline{\theta })-C. \end{aligned}$$

However, this condition can never hold since it contradicts the assumption that, for any quota X, \(\pi (X,\underline{\theta })<\pi (X,\overline{ \theta })\).

Proof of Proposition 5.2

A pooling equilibrium in which both types of industry select \(v=1\) exist when the conditions (5.3) and (5.4) hold, jointly with beliefs \(\sigma (1)=\sigma (0)=q\). Consider the consumer’s utility function in the proof of Proposition 5.1. For the following set of parameters: \(c=0\); \(q=\frac{1}{2}\); \(\gamma =2\); \(\underline{\theta }=1\); \(\overline{\theta }=2\) a pooling equilibrium in which both types of industry choose \(v=1\) exists when \(C\le \frac{1}{5}n\). Using a similar reasoning we find that a pooling equilibrium in which both choose \(v=0\) exists for \(C\ge \frac{3}{5}n\).

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Candel-Sánchez, F., Perote-Peña, J. Endogenous market regulation in a signaling model of lobby formation. J Econ 123, 23–47 (2018). https://doi.org/10.1007/s00712-017-0547-3

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