<?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.2014.49106</article-id><article-id pub-id-type="publisher-id">TEL-52185</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>
 
 
  Market Middlemen and Determinants of the Price Spread under Competition
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>ichael</surname><given-names>K. Wohlgenant</given-names></name><xref ref-type="aff" rid="aff1"><sub>1</sub></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff1"><label>1</label><addr-line>Department of Agricultural &amp;amp; Resource Economics, North Carolina State University, Raleigh, North Carolina, USA</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>michaelwhlgnnt@gmail.com</email></corresp></author-notes><pub-date pub-type="epub"><day>21</day><month>11</month><year>2014</year></pub-date><volume>04</volume><issue>09</issue><fpage>834</fpage><lpage>838</lpage><history><date date-type="received"><day>15</day>	<month>October</month>	<year>2014</year></date><date date-type="rev-recd"><day>20</day>	<month>November</month>	<year>2014</year>	</date><date date-type="accepted"><day>4</day>	<month>December</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>
 
 
  Neoclassical economics is shown to yield predictions consistent with empirical industrial organization models regarding market middlemen behavior. Diminishing marginal returns to use of variable factor inputs produces three important predictions: a) the price spread between the output price and raw material price is positively correlated with output price, b) the raw material quantity is positively correlated with the price spread, and c) the price spread is positively correlated with other variable factor prices. An application to US farm-to-retail price spread time series data shows the consistency of the predictions.
 
</p></abstract><kwd-group><kwd>Middlemen</kwd><kwd> Diminishing Marginal Returns</kwd><kwd> Competition</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Diminishing marginal returns is a cornerstone of neoclassical economics and defines the relevant region for production for a competitive firm. The purpose of this article is to show that it is relevant to even market middlemen, a group of traders/merchants who are often alleged to operate in imperfectly competitive markets. Existence of a market middlemen, like any firm, exists to overcome transaction costs. Spulber [<xref ref-type="bibr" rid="scirp.52185-ref1">1</xref>] and Rust [<xref ref-type="bibr" rid="scirp.52185-ref2">2</xref>] show that an efficient market outcome can exist with heterogeneous consumers, producers, and market middlemen with transaction and search costs. These results, while useful in establishing the important finding that market middlemen can be efficient, fall short of providing a theory and models that can produce testable implications with market-level data. This article shows that even the more basic assumptions of price taking behavior and a production function exhibiting diminishing marginal returns produces predictions that are general and easily implemented empirically.</p><p>The empirical literature on the determimants of price spreads of market middlemen is generally based on ad hoc specifications of markup behavior or from reduced form models derived from structural models of supply and demand [<xref ref-type="bibr" rid="scirp.52185-ref3">3</xref>] . The most structural specification available, called the relative price spread model [<xref ref-type="bibr" rid="scirp.52185-ref4">4</xref>] , specifies the price spread relative to output price as a function of the raw material quantity procured and the price of marketing input prices relative to output price. This article attempts to fill this void by developing a simple model that yields testable predictions that can be confronted with real world data.</p></sec><sec id="s2"><title>2. Neoclassical Theory of Market Middlemen</title><p>As observed by Spulber [<xref ref-type="bibr" rid="scirp.52185-ref5">5</xref>] , in reality most middlemen transform products they procure to add value as manufacturers do. Thus, it seems reasonable to approach the problem from a neoclassical approach where the firm possesses a production function used to procure a product from sellers that is combined with other inputs to produce a product that is sold to buyers. Linear homogeneity of the long-run production function is a reasonable assumption in light of the replication argument [<xref ref-type="bibr" rid="scirp.52185-ref6">6</xref>] . Assume a price taking firm combines two inputs, labor <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x5.png" xlink:type="simple"/></inline-formula> and raw material <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x6.png" xlink:type="simple"/></inline-formula> to produce a single output <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x7.png" xlink:type="simple"/></inline-formula> In addition to these inputs there are fixed inputs <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x8.png" xlink:type="simple"/></inline-formula> an important subcategory being entrepreneurial capacity [<xref ref-type="bibr" rid="scirp.52185-ref6">6</xref>] which cannot be used anywhere outside the industry in question. This means that the production function of the firm, even in the long run exhibits decreasing returns to scale. Given the long-run assumption of constant returns to scale, we can express the production function as follows:</p><disp-formula id="scirp.52185-formula260"><label>(1)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/14-1500658x9.png"  xlink:type="simple"/></disp-formula><p>With <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x10.png" xlink:type="simple"/></inline-formula> fixed, assume the firm is a price taker in both output and factor markets. Assume also that the firm takes <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x11.png" xlink:type="simple"/></inline-formula> as fixed in determining its profit-maximizing input levels<sup>1</sup>. The first-order conditions for profit maximization conditional on <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x12.png" xlink:type="simple"/></inline-formula> are:</p><disp-formula id="scirp.52185-formula261"><label>(2)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/14-1500658x13.png"  xlink:type="simple"/></disp-formula><p>where <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x14.png" xlink:type="simple"/></inline-formula> is the wage rate. Solving for the optimal <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x15.png" xlink:type="simple"/></inline-formula> and substituting back into the profit equation produces the conditional profit function,</p><disp-formula id="scirp.52185-formula262"><label>(3)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/14-1500658x16.png"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.52185-formula263"><graphic  xlink:href="http://html.scirp.org/file/14-1500658x17.png"  xlink:type="simple"/></disp-formula><p><sup>1</sup>This should not be taken to imply that profit is not maximized with respect to <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x18.png" xlink:type="simple"/></inline-formula> Indeed, the level of <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x19.png" xlink:type="simple"/></inline-formula> considered could be its optimal value. The reason for optimizing profit conditional on <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x20.png" xlink:type="simple"/></inline-formula> is for analytical purposes to derive an explicit relationship between <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x20.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x21.png" xlink:type="simple"/></inline-formula> and <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x20.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x21.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x22.png" xlink:type="simple"/></inline-formula> when all the other variable factors are optimized.</p><p>Application of Roy’s identity to this profit function with respect to output price and raw material quantity yields the conditional output supply and inverse raw material demand functions:</p><disp-formula id="scirp.52185-formula264"><label>(4a)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/14-1500658x23.png"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.52185-formula265"><label>(4b)</label><graphic position="anchor" xlink:href="http://html.scirp.org/file/14-1500658x24.png"  xlink:type="simple"/></disp-formula><p>where <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x25.png" xlink:type="simple"/></inline-formula> is the raw material price. We know from continuous differentiability of the profit function that</p><p><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x26.png" xlink:type="simple"/></inline-formula>, , and</p><p>Proposition 1.</p><disp-formula id="scirp.52185-formula266"><graphic  xlink:href="http://html.scirp.org/file/14-1500658x29.png"  xlink:type="simple"/></disp-formula><p>Proof. The conditional output supply function can be written as <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x30.png" xlink:type="simple"/></inline-formula> Differentiating with respect to <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x30.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x31.png" xlink:type="simple"/></inline-formula> gives <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x30.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x31.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x32.png" xlink:type="simple"/></inline-formula> which leads to <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x30.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x31.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x32.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x33.png" xlink:type="simple"/></inline-formula> □</p><p>Proposition 2.</p><disp-formula id="scirp.52185-formula267"><graphic  xlink:href="http://html.scirp.org/file/14-1500658x34.png"  xlink:type="simple"/></disp-formula><p>Proof. <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x35.png" xlink:type="simple"/></inline-formula>from Proposition 1. Therefore,<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x35.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x36.png" xlink:type="simple"/></inline-formula> □</p><p>Theorem 1.</p><p>Let the price spread between the raw material and final product be defined as<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x37.png" xlink:type="simple"/></inline-formula>,</p><p>where <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x38.png" xlink:type="simple"/></inline-formula> is a fixed transformation coefficient converting the raw material to retail product. Then<inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x38.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x39.png" xlink:type="simple"/></inline-formula>, <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x38.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x39.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x40.png" xlink:type="simple"/></inline-formula>, and <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x38.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x39.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x40.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x41.png" xlink:type="simple"/></inline-formula></p><p>Proof. i) Differentiate <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x42.png" xlink:type="simple"/></inline-formula> with respect to <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x42.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x43.png" xlink:type="simple"/></inline-formula> to obtain:</p><p><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x44.png" xlink:type="simple"/></inline-formula>because <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x44.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x45.png" xlink:type="simple"/></inline-formula> from Proposition 2.</p><p>ii) Differentiate the price spread function with respect to <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x46.png" xlink:type="simple"/></inline-formula> to obtain: <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x46.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x47.png" xlink:type="simple"/></inline-formula>because <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x46.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x47.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x48.png" xlink:type="simple"/></inline-formula></p><p>iii) Differentiate the price spread function with respect to <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x49.png" xlink:type="simple"/></inline-formula> to obtain: <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x49.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x50.png" xlink:type="simple"/></inline-formula>in two-input case the comparative static results show that sign of <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x49.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x50.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x51.png" xlink:type="simple"/></inline-formula> is equal to sign of <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x49.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x50.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x51.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x52.png" xlink:type="simple"/></inline-formula> which must be positive in the</p><p>two-input case. However, with more than two inputs the sign will be indeterminate. □</p><p>In summary, neoclassical economics yields definite predictions about the behavior of the price spread in response to changes in output price and quantity of the raw material input. The relationship between the price spread and output price is a relationship that theory predicts will hold because of diminishing marginal product of the raw material input (Proposition 1). The importance of this is that neoclassical price theory can, in fact, account for markup pricing even in the absence of market power <xref ref-type="fig" rid="fig1">Figure 1</xref> shows how important this relationship is for an important commodity, U.S. beef farm-to-retail price spread in relationship to retail beef price.</p><fig id="fig1"  position="float"><label><xref ref-type="fig" rid="fig1">Figure 1</xref></label><caption><title> Relationship between beef price spread and retail beef price (cents/lb.), 1970-2012</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/14-1500658x53.png"/></fig></sec><sec id="s3"><title>3. Empirical Application</title><p>The price spread equation can be quantified with time series and/or cross-section data in the aggregate or at the individual firm level. To illustrate the importance and predictability of the results established in Theorem 1, I estimate the relationship between the farm-to-retail price spread for beef as a function of the retail price, an index of food marketing input prices, and the quantity of cattle slaughtered. This price spread is an excellent example of middlemen behavior that involves the whole gamut of processing, marketing, and distributing of a product. Annual data from 1970-2010 are used. Because of unit roots in all the series, I first deflated all the data by the overall Consumer Price Index (CPI) and also included trend <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x54.png" xlink:type="simple"/></inline-formula> and trend squared <inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x54.png" xlink:type="simple"/></inline-formula><inline-formula><inline-graphic xlink:href="http://html.scirp.org/file/14-1500658x55.png" xlink:type="simple"/></inline-formula> variables in the model. First-differences in the explanatory variables (other than the trend variables) were also included to obtain super-consistent results [<xref ref-type="bibr" rid="scirp.52185-ref7">7</xref>] . These results are as follows (<sup>*</sup> significant at 10%; <sup>**</sup> significant at 5%; <sup>***</sup> significant at 1%):</p><disp-formula id="scirp.52185-formula268"><graphic  xlink:href="http://html.scirp.org/file/14-1500658x56.png"  xlink:type="simple"/></disp-formula><disp-formula id="scirp.52185-formula269"><graphic  xlink:href="http://html.scirp.org/file/14-1500658x57.png"  xlink:type="simple"/></disp-formula><p>The results are entirely consistent with Theorem 1. The price spread is significantly positively related to retail price and quantity of the raw material processed and marketed. Although the wage rate is not significant it is positive as expected. As indicated previously, the first difference variables are included to correct the standard errors for effects of unit roots. They also correct for endogeneity [<xref ref-type="bibr" rid="scirp.52185-ref8">8</xref>] .</p></sec><sec id="s4"><title>4. Conclusions</title><p>I have shown how neoclassical economics can account for some important features of market middlemen behavior often assumed to result because of market power. Competitive theory with profit maximizing behavior is shown to yield three important predictions: a) a positive relationship between the price spread and output price, b) a positive relationship between the price spread and wage rate, and c) a positive relationship between the price spread and raw material quantity processed and marketed. The theory is applied to US beef price spread data and is shown to be completely consistent with the data.</p><p>The key to understanding why the model predicts the positive relationship between the price spread and output price is diminishing marginal product of the raw material. The law of diminishing marginal returns implies that when output price rises, the firm is induced to increase output because the raw material price, while rising, will rise less proportionally than output price. This is what can lead to a positive relationship between the price spread and output price as Theorem 1 shows. This provides an alternative explanation to market power being the cause of a positive relationship. The importance of this result is that such behavior, consistent with perfect competition, means market middlemen can indeed add value to the product and increase wealth.</p><p>While the analysis here focuses on short-run adjustment, there are reasons to believe it would hold in the long run as well. When there are inframarginal firms, adjustment by these firms would still occur in this same fashion in the long run with entrepreneurial capacity the limiting factor of each firm. The total adjustment would consist of those inframarginal firms and the marginal firms in the industry [<xref ref-type="bibr" rid="scirp.52185-ref9">9</xref>] .</p><p>Finally, this is obvious only part of the theory of behavior of market middlemen. Transaction costs are a reason these firms exist to begin with and search costs are clearly important as the literature has underscored. There are also product design and quality issues that are important as well, such as found in [<xref ref-type="bibr" rid="scirp.52185-ref10">10</xref>] . At the very least, we can say that neoclassical economics has something important to say about Market Middlemen behavior and should not be ignored in development of a viable theory.</p></sec><sec id="s5"><title>Acknowledgements</title><p>Research supported in part by the North Carolina Agricultural Research Service, Raleigh, North Carolina, 27695.</p></sec></body><back><ref-list><title>References</title><ref id="scirp.52185-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Spulber, D. (1996) Market Making by Price-Setting Firms. Review of Economics Studies, 63, 559-580. http://dx.doi.org/10.2307/2297793</mixed-citation></ref><ref id="scirp.52185-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Rust, J. and Hall, G. (2003) Middlemen versus Market Makers: A Theory of Competitive Exchange. Journal of Political Economy, 111, 353-403. http://dx.doi.org/10.1086/367684</mixed-citation></ref><ref id="scirp.52185-ref3"><label>3</label><mixed-citation publication-type="book" xlink:type="simple">Wohlgenant, M. (2001) Marketing Margins: Empirical Analysis. In: Gardner, B. and Rausser, G., Eds., Handbook of Agricultural Economics, Vol. 1, Elsevier Science B.V., Amsterdam, 934-970.</mixed-citation></ref><ref id="scirp.52185-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Wohlgenant, M. and Mullen, J. (1987) Modeling the Farm-Retail Price Spread for Beef. Western Journal of Agricultural Economics, 12, 119-125.</mixed-citation></ref><ref id="scirp.52185-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Spulber, D. (1996) Market Microstructure and Intermediation. The Journal of Economic Perspectives, 10, 135-152. http://dx.doi.org/10.1257/jep.10.3.135</mixed-citation></ref><ref id="scirp.52185-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Friedman, M. (1976) Price Theory. Aldine Publishing Co., Hawthorn.</mixed-citation></ref><ref id="scirp.52185-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Phillips, P. (1991) Optimal Inference in Cointegrated Systems. Econometrica, 59, 283-306. http://dx.doi.org/10.2307/2938258</mixed-citation></ref><ref id="scirp.52185-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Saikkonen, P. (1991) Asymptotically Efficient Estimation of Cointegration Regressions. Econometric Theory, 7, 1-21. http://dx.doi.org/10.1017/S0266466600004217</mixed-citation></ref><ref id="scirp.52185-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Panzar, J. and Willig, R. (1978) On the Comparative Statics of a Competitive Industry with Inframarginal Firms. The American Economic Review, 68, 474-478.</mixed-citation></ref><ref id="scirp.52185-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Buccola, S. (2000) Material and Value-Adding Inputs in Manufacturing Enterprises. Journal of Productivity Analysis, 13, 231-247. http://dx.doi.org/10.1023/A:1007823025460</mixed-citation></ref></ref-list></back></article>