<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">TEL</journal-id><journal-title-group><journal-title>Theoretical Economics Letters</journal-title></journal-title-group><issn pub-type="epub">2162-2078</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/tel.2014.44036</article-id><article-id pub-id-type="publisher-id">TEL-45231</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Business&amp;Economics</subject></subj-group></article-categories><title-group><article-title>
 
 
  Changes in the Threshold Uncertainty in a Simultaneous Subscription Game
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>imothy</surname><given-names>J. Gronberg</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Hui-Chun</surname><given-names>Peng</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Department of Economics, Texas A&amp;amp;M University, College Station, USA</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>tjg@econmail.tamu.edu(IJG)</email>;<email>hpeng@econmail.tamu.edu(HP)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>24</day><month>04</month><year>2014</year></pub-date><volume>04</volume><issue>04</issue><fpage>263</fpage><lpage>269</lpage><history><date date-type="received"><day>5</day>	<month>February</month>	<year>2014</year></date><date date-type="rev-recd"><day>5</day>	<month>March</month>	<year>2014</year>	</date><date date-type="accepted"><day>25</day>	<month>March</month>	<year>2014</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
   This paper considers a discrete public good subscription game under threshold uncertainty and private information on valuations and analyzes the effect of change in cost uncertainty on the private contribution equilibrium under a simultaneous institution. Comparative statics with respect to the changes in the cost distribution are derived. We find that if the cost distribution becomes more dispersed, in the sense of a mean-preserving spread, the expected total contributions to the public good will decrease. Our proposition provides a policy implication that if the suppliers are able to reduce the uncertainty of the cost distribution, the private contribution to the public good will increase. 
 
</p></abstract><kwd-group><kwd>Discrete Public Good</kwd><kwd> Threshold Uncertainty</kwd><kwd> Private Information</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>Abstract</title><p>This paper considers a discrete public good subscription game under threshold uncertainty and private information on valuations and analyzes the effect of change in cost uncertainty on the private contribution equilibrium under a simultaneous institution. Comparative statics with respect to the changes in the cost distribution are derived. We find that if the cost distribution becomes more dispersed, in the sense of a mean-preserving spread, the expected total contributions to the public good will decrease. Our proposition provides a policy implication that if the suppliers are able to reduce the uncertainty of the cost distribution, the private contribution to the public good will increase.</p></sec><sec id="s2"><title>Keywords</title><p>Discrete Public Good, Threshold Uncertainty, Private Information</p><p><img src="htmlimages\1-1500511x\c20f180e-a21b-4550-9a6a-bddcd6a7436f.png" /></p></sec><sec id="s3"><title>1. Introduction</title><p>This paper considers a model of provision of a discrete public good in a subscription game within an environment of threshold uncertainty and private information on public good valuations. The focus is on the comparative statics of a change in cost uncertainty on the private contribution equilibrium under a simultaneous institution. In a voluntary contributions mechanism, a discrete public good is provided if the total contributions are large enough to cover cost; otherwise, the public good is not provided. This kind of public good is also called a binary or a threshold public good. Typical examples of discrete public goods are roads, parks, community libraries, local radio programs, and school buildings. In a subscription game, the player contributions are refunded if the sum of the contributions does not cover the cost of the public good.</p><p>Palfrey and Rosenthal [<xref ref-type="bibr" rid="scirp.45231-ref1">1</xref>] and Bagnoli and Lipman [<xref ref-type="bibr" rid="scirp.45231-ref2">2</xref>] are important early papers that analyze private provision of discrete public good. Both papers assume players to make their contribution strategies in an environment with complete information on public good valuations and a certain known cost threshold, but the contribution types in these two papers are different. Palfrey and Rosenthal [<xref ref-type="bibr" rid="scirp.45231-ref1">1</xref>] assumed contributions to be binary—zero or a fixed contribution quantity, while Bagnoli and Lipman [<xref ref-type="bibr" rid="scirp.45231-ref2">2</xref>] allowed the players to make continuous contributions. These two papers both show that efficient provision of public goods in the subscription game may exist.</p><p>It is possible that the players do not face a certain threshold. For example, it might not be known how much money will be needed to build a community library or to complete a public good project. Realizing that the threshold uncertainty may affect the player’s strategic contribution behavior, Nitzan and Romano [<xref ref-type="bibr" rid="scirp.45231-ref3">3</xref>] , Suleiman [<xref ref-type="bibr" rid="scirp.45231-ref4">4</xref>] , and McBride [<xref ref-type="bibr" rid="scirp.45231-ref5">5</xref>] introduce threshold uncertainty into the discrete public good model. The first two papers find possibility of inefficient equilibrium under threshold uncertainty. The reason that inefficiency may obtain is that the ex post contributions exceed the required threshold quantity of contribution or the contributions are insufficient to cover the required threshold level. McBride [<xref ref-type="bibr" rid="scirp.45231-ref5">5</xref>] investigates how the level of threshold uncertainty affects players’ contributions and he finds that instead of having a monotonic relationship between the threshold uncertainty and the contributions, the effect of changing the threshold uncertainty on the contributions depends on public good valuations. An increase of the threshold uncertainty, in the sense of mean-preserving spread, increases the player’s contribution when the value of the public good is sufficiently high; otherwise, it decreases the player’s contribution when the value of the public good is sufficiently low. In a follow-up paper, McBride [<xref ref-type="bibr" rid="scirp.45231-ref6">6</xref>] designs an experiment to test the theoretical predictions in McBride [<xref ref-type="bibr" rid="scirp.45231-ref5">5</xref>] and finds limited verification.</p><p>Papers by Menezes et al. [<xref ref-type="bibr" rid="scirp.45231-ref7">7</xref>] , Laussel and Palfrey [<xref ref-type="bibr" rid="scirp.45231-ref8">8</xref>] , and Barbieri and Malueg [<xref ref-type="bibr" rid="scirp.45231-ref9">9</xref>] , introduce private information on public good valuations into a subscription game with a discrete public good and focus on examining the efficiency of the Bayesian Nash equilibrium. Menezes et al. [<xref ref-type="bibr" rid="scirp.45231-ref7">7</xref>] show that the equilibrium in the subscription game is ex post inefficient. Laussel and Palfrey [<xref ref-type="bibr" rid="scirp.45231-ref8">8</xref>] analyze interim incentive efficiency, defined by Holmstrŏm and Myerson [<xref ref-type="bibr" rid="scirp.45231-ref10">10</xref>] , in the subscription game. They find that the interim incentive efficient equilibrium may exist. Later, Barbieri and Malueg [<xref ref-type="bibr" rid="scirp.45231-ref9">9</xref>] reexamine Laussel and Palfrey’s analysis, but show the contrary result that there are no incentive efficient equilibria.</p><p>Barbieri and Malueg [<xref ref-type="bibr" rid="scirp.45231-ref11">11</xref>] include both threshold uncertainty and private information on public good valuations in the subscription game. They find that increased player valuation, in the sense of the first order stochastic dominance, or a more dispersed player value distribution, in the sense of a mean-preserving spread, increases the equilibrium contributions.</p><p>Although McBride [<xref ref-type="bibr" rid="scirp.45231-ref5">5</xref>] analyzes how the change of the threshold distribution affects the contribution, he only considers the model with identical and known public good valuation. Barbieri and Malueg [<xref ref-type="bibr" rid="scirp.45231-ref11">11</xref>] assume the threshold uncertainty and private information in their model, but they only analyze the effects of changing the valuation distribution. Our paper complements these existing papers by investigating the comparative statics effect of changing the cost distribution on private contributions within a Barbieri and Malueg setting with both threshold uncertainty and private information.</p><p>We show that if the cost distribution becomes more dispersed, in the sense of a mean-preserving spread, the expected contributions will decrease. Our results suggest that suppliers may increase contributions to the public good by reducing uncertainty over the cost distribution.</p><p>The rest of paper is organized as follows. Section 2 presents the model. Section 3 considers the comparative statics with respect to changes in cost distribution of the public good and characterizes the expected contribution. Section 4 is the conclusion.</p></sec><sec id="s4"><title>2. Model</title><p>Consider a subscription game with <inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\780b019d-ca9c-4f87-91b2-7d3cd3fdfc93.png" xlink:type="simple"/></inline-formula> players. In order to provide a discrete public good, the players in this game simultaneously make contributions toward this public good of any non-negative amount. Let <inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\d3903a0b-8f87-4e41-a59f-01f02f0438f6.png" xlink:type="simple"/></inline-formula> be player<inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\0138b76f-91e6-46e1-8248-68e78db1a642.png" xlink:type="simple"/></inline-formula>’s contribution. Player<inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\e87f5117-5014-4311-952e-dc15c028729f.png" xlink:type="simple"/></inline-formula>’s value on the public good is<inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\196b1c45-0f46-496f-89e0-efb3293f83d6.png" xlink:type="simple"/></inline-formula>,<inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\48495058-2a6f-4f2d-99f9-18fc1727b833.png" xlink:type="simple"/></inline-formula>. Player’s value, <inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\3c710481-2ea7-477d-b2b3-197f6e7102bd.png" xlink:type="simple"/></inline-formula>, is independently distributed random variables with a continuous uniform distribution whose support is [0, 1]. Each player’s valuation for the public good is private information. Each player knows his own realized valuation for the public good, but he is uncertain about other players’ valuations for the public good.</p><p>A discrete public good can be provided if and only if the total contributions are equal to or larger than the cost of the public good, <inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\28a9a744-af8a-4637-931c-d9804ee419fe.png" xlink:type="simple"/></inline-formula>, which is also called the cost threshold. Suppose <inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\b1c9a3f9-d347-4546-8857-48a6049d20dd.png" xlink:type="simple"/></inline-formula> is unknown when the players contribute to the public good. However, all players believe that the cost is independent of all<inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\21fb83c4-ee74-4b97-8b93-a97382eeed02.png" xlink:type="simple"/></inline-formula>’s and distributed with a continuous uniform distribution, <inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\bec3f2b4-44d8-42f9-9ace-0162af8550c3.png" xlink:type="simple"/></inline-formula>, with support<inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\db67e3b4-3425-49e6-b39d-4c62ddd1cb8a.png" xlink:type="simple"/></inline-formula>, where <inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\8baf6501-cd6a-4bc8-ac23-9ba56613f69f.png" xlink:type="simple"/></inline-formula> is the mean of the cost and <inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\c296c50b-94d2-4ef0-903c-2c48b86ab7db.png" xlink:type="simple"/></inline-formula> measures the degree of the cost uncertainty.</p><p>The public good game we consider in this paper is the subscription game (Admati and Perry [<xref ref-type="bibr" rid="scirp.45231-ref12">12</xref>] ), where player contributions will be fully refunded if the total contributions are less than the cost threshold. We also assume a zero rebate rule which means the excess contributions will be given to the producer of the public good.</p><p>Given<inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\9b708715-273e-4ef1-a98a-eb156f78b1cc.png" xlink:type="simple"/></inline-formula>, the ex ante probability of providing the public good with total contributions, <inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\4ff41674-ebe4-4742-aa2d-69deca1d1811.png" xlink:type="simple"/></inline-formula>, is</p><p><img src="htmlimages\1-1500511x\d985fb0e-fbd1-40eb-aa8b-65fd7373d46b.png" /></p><p>Since the player does not know other players’ contributions when making the contribution decision, he needs to forecast the amounts other players will contribute,<inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\37b9fdda-0b73-4b21-a4f8-9681cbbf63c9.png" xlink:type="simple"/></inline-formula>. Because the probability of provision should be between 0 and 1, it implies an important constraint, <inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\dde2f4f6-10f8-43c6-9874-a1f646de70a1.png" xlink:type="simple"/></inline-formula>, must be satisfied1. This constraint demonstrates that the number of players in this subscription game need to be larger than the lower bound of the possible cost, but cannot be larger than the upper bound of the possible cost.</p><p>The assumed objective for each player is to maximize expected payoff. If the public good is provided, then player<inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\056ad38b-27d0-4333-83c2-2caecce7822f.png" xlink:type="simple"/></inline-formula>’s payoff is <inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\0689bfc0-7f00-4363-9018-4eacc1303b8f.png" xlink:type="simple"/></inline-formula> with the probability of the provision,</p><p><img src="htmlimages\1-1500511x\12b51ad5-c186-43a3-ac7e-76b2b75cb803.png" /></p><p>if the public good is not provided, then player i’s payoff is 0. Thus, player i’s expected payoff function can be written as:</p><disp-formula id="scirp.45231-formula899"><label>(1)</label><graphic position="anchor" xlink:href="htmlimages\1-1500511x\aa1e1db1-b709-4268-b7b9-20766ecfe651.png"  xlink:type="simple"/></disp-formula><p>Assume <inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\6f9efec8-1d54-4efe-b9e0-810fcfb662ea.png" xlink:type="simple"/></inline-formula> is player<inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\93f556a0-cf3f-48e1-a4c7-eca13a904193.png" xlink:type="simple"/></inline-formula>’s expected contribution, thus, player<inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\13b11b47-ec06-44cd-8e6a-0229be727efa.png" xlink:type="simple"/></inline-formula>’s expected utility function can be rewritten as:</p><disp-formula id="scirp.45231-formula900"><label>(2)</label><graphic position="anchor" xlink:href="htmlimages\1-1500511x\cf835ad9-8d3a-403a-9969-c73c881fbef2.png"  xlink:type="simple"/></disp-formula><p>Maximizing Equation (2) with respect to <inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\55bb61d0-da02-454f-b94d-67f5363956fa.png" xlink:type="simple"/></inline-formula> and taking the first order condition yields player<inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\2e8cb7c1-6698-43e6-bb05-5202350cdd5b.png" xlink:type="simple"/></inline-formula>’s best response function:</p><disp-formula id="scirp.45231-formula901"><label>(3)</label><graphic position="anchor" xlink:href="htmlimages\1-1500511x\70a93e97-ce0b-471e-ae5e-2d35fae3b758.png"  xlink:type="simple"/></disp-formula><p>Under the assumption of a common uniform distribution in [0, 1], the total expected contributions by other players, <inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\cc2886b7-dabb-4678-aaec-0483a2da03fc.png" xlink:type="simple"/></inline-formula>, can be written as <inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\86aee660-ce46-4eff-9c28-1927b26116f6.png" xlink:type="simple"/></inline-formula> in symmetric equilibrium. Hence, Equation (3) can be rewritten as</p><disp-formula id="scirp.45231-formula902"><label>(4)</label><graphic position="anchor" xlink:href="htmlimages\1-1500511x\dd9be0f4-4e46-4fe4-9f24-0bf2b969bd0d.png"  xlink:type="simple"/></disp-formula><p>From the best response function, Equation (4), we can find that <inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\e5848fe4-efd8-4858-90f1-8f20da3b343f.png" xlink:type="simple"/></inline-formula> is the cutoff point for player <inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\b39dd37c-eb48-4fcf-ba91-c713c7e9a8fc.png" xlink:type="simple"/></inline-formula> to begin contributing to the public good. In other words, player <inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\8dea1af1-c36b-4283-8c4e-c4f736f2e942.png" xlink:type="simple"/></inline-formula> is willing to contribute a positive amount to the public good when his valuation for the public good is equal to or larger than this cutoff point. Also, the best response function shows that once player<inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\6238eb0a-a635-4349-9173-57b194335f1b.png" xlink:type="simple"/></inline-formula>’s contribution is positive, it is strictly increasing in larger valuation of the public good and strictly decreasing in other players’ expected contributions.</p><p>Using the definition of expected contribution, <inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\aeb464d0-5809-49c3-b0bd-e75a468721af.png" xlink:type="simple"/></inline-formula>, and the best response function, Equation (4), in a symmetric Bayesian Nash equilibrium</p><disp-formula id="scirp.45231-formula903"><label>(5)</label><graphic position="anchor" xlink:href="htmlimages\1-1500511x\7df84824-2ab1-46c5-9565-8e4c1878b3bc.png"  xlink:type="simple"/></disp-formula><p>With player values independently and uniformly distributed on [0, 1], the expected equilibrium contribution is determined by</p><disp-formula id="scirp.45231-formula904"><label>(6)</label><graphic position="anchor" xlink:href="htmlimages\1-1500511x\48706f2f-d2f1-4c81-ba14-03da427bbb53.png"  xlink:type="simple"/></disp-formula><p>We can solve (6) for K which yields is</p><disp-formula id="scirp.45231-formula905"><label>(7)</label><graphic position="anchor" xlink:href="htmlimages\1-1500511x\b355ac4a-1e7e-473a-8283-d19361f3599e.png"  xlink:type="simple"/></disp-formula><p>Player<inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\1248a6ed-bf2d-45e7-a56b-fa41fe880554.png" xlink:type="simple"/></inline-formula>’s equilibrium strategy, <inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\a5b71110-7720-432c-b413-63ee018672bf.png" xlink:type="simple"/></inline-formula>, must be satisfied Equation (4), and <inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\729cc3c5-11ba-4a1d-8ba2-ba365bd6cbea.png" xlink:type="simple"/></inline-formula> is determined by Equation (7), therefore, <inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\a48fada8-c549-4b4f-99cc-8884b3a89ab0.png" xlink:type="simple"/></inline-formula>can be written as:</p><disp-formula id="scirp.45231-formula906"><label>(8)</label><graphic position="anchor" xlink:href="htmlimages\1-1500511x\d7e702e1-1d30-4219-8245-a3141af80b71.png"  xlink:type="simple"/></disp-formula><p>The cutoff point in equilibrium for each player to begin contributing a positive amount to the public good, <inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\43bc6c01-afec-4eac-80c7-ca1b41cd8776.png" xlink:type="simple"/></inline-formula>, is</p><disp-formula id="scirp.45231-formula907"><label>(9)</label><graphic position="anchor" xlink:href="htmlimages\1-1500511x\9efbc96a-e0c3-4380-94b5-e575d1dfd179.png"  xlink:type="simple"/></disp-formula><p>Since the lower bound of player’s value is 0, v<sub>p</sub> has to be equal to or larger than 0. Thus, we can get a constraint that<inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\36f66759-a127-45f6-bd3c-6130689c659e.png" xlink:type="simple"/></inline-formula>.</p><p><xref ref-type="fig" rid="fig1">Figure 1</xref> depicts player<inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\eb7bcf8d-30ff-4052-8cdc-6020b7877c0d.png" xlink:type="simple"/></inline-formula>’s equilibrium strategy.</p></sec><sec id="s5"><title>3. Cost Threshold Comparative Statics</title><p>Players may confront cost distributions with different levels of dispersion. If the cost distribution can be controlled or affected by supplier actions, the results in this paper may suggest to the producer of the public good the benefits of changing information related to the cost of the public good measured in terms of increased expected total contribution to the public good. In this section we consider the effect of changes in the cost distribution on equilibrium contributions.</p><sec id="s5_1"><title>3.1. Mean-Preserving Spread in Cost Threshold Distribution</title><p>Given each player’s value distribution is followed a common uniform distribution over [0, 1], assume the cost distribution becomes more uncertain in the sense of mean-preserving spread. For example, the new cost distribution is<inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\96d103ca-4a67-46ec-8208-888dd44cc3a6.png" xlink:type="simple"/></inline-formula>, where<inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\261dfb98-a652-4870-a0b3-e304393fb1af.png" xlink:type="simple"/></inline-formula>.</p><p>Proposition.</p><p>A mean-preserving increase in the distribution of cost will decrease the total expected contributions.</p><sec id="s5_1_1"><title>Proof.</title><p>From Equation (7), we know that <inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\4dd71004-fba9-4c88-97e2-51bf85214d3b.png" xlink:type="simple"/></inline-formula> in equilibrium. Differentiating Equation (7) with respect to the degree of the cost uncertainty, <inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\4dcadf06-17ea-4f02-b47e-cc171567be3f.png" xlink:type="simple"/></inline-formula>, we can get</p><disp-formula id="scirp.45231-formula908"><label>(10)</label><graphic position="anchor" xlink:href="htmlimages\1-1500511x\4aa88749-d0f2-47ed-b20f-a929efd05665.png"  xlink:type="simple"/></disp-formula><p>Since <inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\a389e477-0ea5-4adb-907e-df197efc9f12.png" xlink:type="simple"/></inline-formula> is the lower bound of the threshold and assuming<inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\47e81cbd-cfe7-4834-91e9-fc6a37e46a6c.png" xlink:type="simple"/></inline-formula>, <inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\6dc5009e-76e9-42b0-8a22-314eb3b00faf.png" xlink:type="simple"/></inline-formula>will be less than 1. Thus, we can obtain<inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\7f95792e-76af-4006-a1e9-fe33547b6307.png" xlink:type="simple"/></inline-formula>.</p><p>Since <inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\285a210b-305b-4f53-988c-f7130c0d93b6.png" xlink:type="simple"/></inline-formula> and we have shown<inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\626f8bd8-c293-44e9-bba4-fd98fde085b1.png" xlink:type="simple"/></inline-formula>,<inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\fa6b7997-cda3-4c2c-b149-f8259a59d9c9.png" xlink:type="simple"/></inline-formula>. Since the expected contribution per player decreases, so does the total expected contribution.                                           ■</p><p>The proposition indicates that the players, on average, become less willing to contribute to the public good when the cost of the public good becomes more uncertain.</p><p>We have shown that the cutoff point in equilibrium is<inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\fd49adc3-0e9d-44ef-b324-1d584f8308a1.png" xlink:type="simple"/></inline-formula>. When <inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\c64d1ca6-37f3-4abf-8bcb-0ee8c9c4232b.png" xlink:type="simple"/></inline-formula></p><p>increases, the cutoff point will increase2. It means that the player will begin contributing a positive amount to the public good at a higher value as the degree of cost uncertainty increases.</p><p>The change in <inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\d55d993f-a88c-4a85-a7c3-fd7a38c6ba6b.png" xlink:type="simple"/></inline-formula> also affects the player’s best response function where<inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\3bb90c10-eb43-4074-b0b7-158b756e3211.png" xlink:type="simple"/></inline-formula>, and this effect can be divided into the direct effect and the indirect effect. Using the player’s best response function, <inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\2c6d32c1-82f7-4087-b8c4-8cfe209dd7a3.png" xlink:type="simple"/></inline-formula>, to demonstrate these two effects</p><p><img src="htmlimages\1-1500511x\3dfaf1a4-fba2-4274-821a-859672f205e4.png" /></p><p>From Equation (11), we find that changing <inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\6a30acd2-2b48-472c-a929-4e681fb04aa8.png" xlink:type="simple"/></inline-formula> will change <inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\99d40131-a245-4ff0-b55b-6b21bdaf5619.png" xlink:type="simple"/></inline-formula> directly, hence, the second term in Equation (11) can represent the direct effect. Also, changing <inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\0a84abd1-bbf1-4ad7-a24c-d0a948c8f67b.png" xlink:type="simple"/></inline-formula> will affect other players’ expected contributions,<inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\73307d80-5e21-4f01-baf7-f5a79e102e18.png" xlink:type="simple"/></inline-formula>. The first term in Equation (11) measures this indirect effect. Equation (12) shows that increasing the degree of cost uncertainty induces a negative direct effect, a positive indirect effect, and the direct effect dominates the indirect effect. Thus, increasing <inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\388feae1-31dc-40b2-b267-64d38e3ea4c4.png" xlink:type="simple"/></inline-formula> results in the decrease of<inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\d4a08e8d-2f0a-42a1-840d-63a92295cedd.png" xlink:type="simple"/></inline-formula>.</p><p>We find that players start to contribute to the public goods at a higher cutpoint value and the contribution amounts at each possible value of public good weakly decrease, hence, the expected contribution to the public goods decreases in the degree of cost uncertainty,<inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\9c9a71b4-9173-4924-8b34-e403d5da182e.png" xlink:type="simple"/></inline-formula>.</p><p>Our proposition provides a policy implication that if the suppliers are able to reduce the uncertainty of the cost distribution, the private contribution to the public good will increase. The reduction in cost distribution uncertainty will encourage the players with low value to begin contributing to the public good and also increase contributions of inframarginal contributors.</p></sec></sec><sec id="s5_2"><title>3.2. Numerical Example</title><p>In this subsection, we use a numerical example to illustrate that expected contribution, <inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\944a066f-293e-42dc-b3df-8afdaffca905.png" xlink:type="simple"/></inline-formula>, decreases in<inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\eb297684-9a38-414d-9efe-7f8a8f340f14.png" xlink:type="simple"/></inline-formula>.</p><sec id="s5_2_1"><title>Example.</title><p>In this example, we consider a subscription game with 5 players whose values are uniformly distributed in [0, 1]. Also, we assume that players do not know the cost of providing the public good but believe it is drawn from a uniform distribution with support [1, 5], i.e. the initial <inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\cb2a67c2-a663-47a6-aabc-12e3f85be830.png" xlink:type="simple"/></inline-formula> and<inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\6c68dcf6-6792-4702-bcf3-d844b4015704.png" xlink:type="simple"/></inline-formula>. If the cost distribution becomes more dispersed in the sense of mean-preserving spread, such as <inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\c66aa84a-0e1e-46da-9fa2-cb9a7872fa44.png" xlink:type="simple"/></inline-formula> increases from 2 to 2.2, <xref ref-type="fig" rid="fig2">Figure 2</xref> shows that the expected contribution is decreasing in<inline-formula><inline-graphic xlink:href="tmlimages\1-1500511x\94dd2f28-cf38-4c37-acf2-d1add341ec3d.png" xlink:type="simple"/></inline-formula>.</p></sec></sec></sec><sec id="s6"><title>4. Conclusions</title><p>If the valuation for the public good is complete information and identical for each player, McBride (2006) finds that the effects of increased cost uncertainty depend on the value of the public good. However, when we consider public good valuations as private information that expected contributions are monotonic and that a more dispersed cost distribution always decreases the expected contributions.</p><p>From a policy aspect, we suggest that supplier may increase the private contribution to the public good, if they can reduce the degree of uncertainty with respect to the cost distribution when both threshold uncertainty and private information on public good valuations exist.</p><p>We offer two directions for future research. Many real-world private contribution institutions are not simultaneous. Contributions are instead collected sequentially. For example, churches may announce organ fund campaign and report the updated contribution level frequently or local governments announce the seed donations to future contributors when they launch new public good projects. There is no published research that investigates how the sequential contribution would be affected by a change in the dispersion of the cost distribution or the value distribution in a subscription game under the threshold uncertainty and private information of valuation for the public good. A second research direction is to test the hypothesis from our theoretical model using experimental methods in a laboratory environment. These future studies may result in a more complete understanding of behavior in mechanisms of private contribution to public goods.</p></sec><sec id="s7"><title>Acknowledgements</title><p>We have benefited from comments by Silvana Krasteva and participants at Ph.D. Student Presentation Seminar at Texas A&amp;M University. We also thank anonymous referees for their comments. All errors are our own.</p></sec><sec id="s8"><title>NOTES</title></sec></body><back><ref-list><title>References</title><ref id="scirp.45231-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Palfrey, T. and Rosenthal, H. (1984) Participation and the Provision of Discrete Public Goods: A Strategic Analysis. Journal of Public Economics, 24, 171-193.http://dx.doi.org/10.1016/0047-2727(84)90023-9</mixed-citation></ref><ref id="scirp.45231-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Bagnoli, M. and Lipman, B. (1989) Provision of Public Goods: Fully Implementing the Core through Private Contributions. The Review of Economic Studies, 56, 583-601.http://dx.doi.org/10.2307/2297502</mixed-citation></ref><ref id="scirp.45231-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Nitzan, S. and Romano, R.E. (1990) Private Provision of a Discrete Public Good with Uncertain Cost. Journal of Public Economics, 42, 357-370. http://dx.doi.org/10.1016/0047-2727(90)90021-9</mixed-citation></ref><ref id="scirp.45231-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Suleiman, R. (1997) Provision of Step-Level Public Goods under Uncertainty: A Theoretical Analysis. Rationality and Society, 9, 163-187. http://dx.doi.org/10.1016/0047-2727(90)90021-9</mixed-citation></ref><ref id="scirp.45231-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">McBride, M. (2006) Discrete Public Goods under Threshold Uncertainty. Journal of Public Economics, 90, 1181-1199.http://dx.doi.org/10.1016/j.jpubeco.2005.09.012</mixed-citation></ref><ref id="scirp.45231-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">McBride, M. (2010) Threshold Uncertainty in Discrete Public Good Games: An Experimental Study. Economics of Governance, 11, 77-99. http://dx.doi.org/10.1007/s10101-009-0069-8</mixed-citation></ref><ref id="scirp.45231-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Menezes, F.M., Monteiro, P.K. and Temimi, A. (2001) Private Provision of Discrete Public Goods with Incomplete Information. Journal of Mathematical Economics, 35, 493-514.http://dx.doi.org/10.1016/S0304-4068(01)00059-3</mixed-citation></ref><ref id="scirp.45231-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Laussel, D. and Palfrey, T.R. (2003) Efficient Equilibria in the Voluntary Contributions Mechanism with Private Information. Journal of Public Economic Theory, 5, 449-478. http://dx.doi.org/10.1111/1467-9779.00143</mixed-citation></ref><ref id="scirp.45231-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Barbieri, S. and Malueg, D.A. (2008) Private Provision of a Discrete Public Good: Continuous-Strategy Equilibria in the Private-Information Subscription Game. Journal of Public Economic Theory, 10, 529-545. http://dx.doi.org/10.1111/j.1467-9779.2008.00375.x</mixed-citation></ref><ref id="scirp.45231-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Holmstrom, B. and Myerson, R.B. (1983) Efficient and Durable Decision Rules with Incomplete Information. Econometrica, 51, 1799-1820. http://dx.doi.org/10.2307/1912117</mixed-citation></ref><ref id="scirp.45231-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Barbieri, S. and Malueg, D.A. (2010) Threshold Uncertainty in the Private-Information Subscription Game. Journal of Public Economics, 94, 848-861. http://dx.doi.org/10.1016/j.jpubeco.2010.07.003</mixed-citation></ref><ref id="scirp.45231-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Admati, A.R. and Perry, M. (1991) Joint Projects without Commitment. The Review of Economic Studies, 58, 259-276.http://dx.doi.org/10.2307/2297967</mixed-citation></ref></ref-list></back></article>