Measuring the Market Power of the Portuguese Milk Industry

Size: px
Start display at page:

Download "Measuring the Market Power of the Portuguese Milk Industry"

Transcription

1 International Journal of the Economics of Business, Vol. 6, No. 2, 1999,. 209± 222 Measuring the Market Power of the Portuguese Milk Industry MARGARIDA DE MELLO and ANT ÂONIO BRAND ÄAO ABSTRACT This aer is based on the revious work of Aelbaum (Journal of Econometrics, 1979, 9,. 283± 94; 1982, 19,. 287± 99). Iwata (Econometrics 1974, 42,. 947± 66) and Rogers (PhD Dissertation, George Washington University, 1983). We estimate the degree of market ower of an oligoolistic industry, using a linear system and the 2SLS estimation method. Our dearture oint is the work of Aelbaum (1982) where a `market ower index is estimated for each of the samle s 25 years. As the market ower index deends functionally on the conjectural elasticity, the goal is to obtain annual estimates for that elasticity. For this urose, Aelbaum defines a non-linear simultaneous-equation system and obtains, with non-linear methods, the conjectural elasticity estimates for each year of the samle. Considering the conjectural elasticity s functional form that Aelbaum adots, we use a different aroach and obtain a linear system that is easier to estimate. Due to the articular features of the industry analysed, we also derive a much simler form for the equations involved. The model s simlicity is aealing and its generalisation to other industries with homogeneous roducts may be imlemented with ease. Key words: Oligooly; Market ower; Conjectural elasticity. JEL classifications: L13, L Introduction Research on an industry requires knowledge of its features, environment and history. Familiarity with the so-called `basic conditions in which an industry oerates is fundamental since it is desirable that such conditions are accurately reflected in a tractable economic model. This aer involves the estimation of the market ower of the Portuguese milk industry. Because this industry s eculiarities lay an imortant role in the model to be estimated, we find it advisable to first describe both the sector s evolution and its main features. We are indebted for valuable comments from two anonymous referees that led to further significant imrovement on this aer. The usual disclaimer alies. We would also like to exress our thanks to William Collier and Gwyn Lewis for heling us with the editing. AntÂonio BrandÄao, Faculty of Economics, University of Porto Rua Dr Roberto Frias 4200 Porto, Portugal; < abrandao@fe.u.t> /99/ Taylor & Francis Ltd

2 210 M. De Mello and A. BrandÄao The milk industry has no tradition in Portugal. In site of the imortance of milk to human nutrition, its consumtion became relevant only in the 1930s. In 1939, existing technology allowed only for the roduction of butter, Flemish cheese and dehydrated milk. At this time there were about 500 small firms, the majority of which had insufficient technical and hygienic conditions to assure the required minimum roduct quality. Lack of quality and the growing acquisition of cheese and butter from the Azores, did little to enhance the Portuguese mainland roducts, causing milk rices to suliers to dro. This, combined with the insufficient suly of milk to larger cities caused the government to intervene and romote the concentration of the industry, shutting down the firms without adequate conditions, subsidising those which had them, and regulating the rice aid to farmers. Exclusive suly areas to each manufacturing lant were also circumscribed. By 1944, the 54 lants that had survived were able to exand roduction and imrove quality. However, this situation was short-lived. The continuation of World War II had seen the rice of beef rise and the roduction of milk became secondary. Moreover, the lants owners, shielded behind the exclusivity of their suly areas, acted against the farmers, aying them late and below the agreed rice or even not collecting the milk at all. The farmers had no choice but to sell their cattle. Consequently, insufficient milk was sulied to the lants. This lack of raw materials brought anarchy into the industry and the government again had to intervene. In 1948, the government awarded the farmers co-oeratives the legal right to be the exclusive collectors of all the milk roduced. No one else would have direct access to the raw materials. Non-co-oerative firms had to buy the milk they needed from co-oeratives. Soon, the co-oeratives had their own lants and were able to assemble the majority of the farmers into three large cooerative firms that remain dominant today. These three firms artitioned the market, engaging in a territorial imlicit agreement that allowed for their acific coexistence for decades. Excet for certain kinds of cheese, the Portuguese demand for milk and related roducts had been sulied by the home industryð imorts being irrelevant. Within this framework, the Portuguese milk industry flourished until the accession of Portugal to the EC in Due to the lack of cometition, the milk sector was not reared to comete in the oen market. The Portuguese government achieved an agreement to delay the entrance of international cometitors, romising the total liberalisation of the milk suly market (meaning the end of exclusive access to the raw materials for the co-oeratives), until the 1 January Although this might have been a serious blow to the co-oeratives, in the end, their dominance remained ractically intact. The agreement linking the farmers to their co-oeratives is of a symbiotic nature. The farmers romise to sell all their milk to the co-oeratives and the co-oeratives romise to buy it all, whatever the quantities or the quality. Additionally, the co-oeratives suly veterinarian care to the farmers cattle, technical and hygienic advice and financial aid. The rice aid to the farmers for their roduct reflects this understanding and is negotiated every season. When the Portuguese milk market oened u to foreign cometition in 1993, there were 90 co-oerative lants, the majority linked to the `big three, and 50 nonco-oerative lants. In 1992, the `big three reresented 70% of the total milk collected, 80% of the total UHT (Ultra High Temerature) milk roduced, 75% of all butter and 25% of other milk roducts. Uon deregulation, the farmers were offered higher rices for their milk by the new foreign cometitors, but the farmers roved reluctant to change, rejecting the higher rices in favour of their revious bargain. This eretuated the co-oeratives control over raw materials. 1

3 The Portuguese Milk Industry 211 It was only in Setember 1993 that the Italian multinational Parmalat began to sell its milk in Portuguese suermarkets with a rice that was a threat to the establishment. In a few months, Parmalat conquered an imortant share of the market and the `big three began to worry. The so-called `milk war had started and for months the ress and television had something new to add. The `big three accused Parmalat of illegal duming and redatory rices. The Italians accused the Portuguese of collusion and monosonist dominance. Since 1991, merger rumours of the `big three had been sreading but it was only with the entrance of Parmalat and its visible success that the negotiations gained credibility and, in 1995, ended with the integration of the `big three into a `big one. 2 The oinion in some business circles was that the easy entrance of Parmalat was due to the non-cometitive behaviour of the domestic firms. The assumtion was that domestic firms were shielded under informal collusion and governmental rotection, and this exlained the higher rices of their roducts. However, until now, there does not aear to have been any systematic investigation of these issues or any formal roof of collusive behaviour. In trying to clarify this, we decided to obtain an estimate of the Portuguese milk industry s degree of cometitiveness before the full oening of the market. This estimate was obtained by analysing the eriod between 1963 and The Basic Model 3 Aelbaum (1982), defines a non-linear simultaneous-equation system with a market demand function, three factor demand equations and an equilibrium condition written as: (1± u E) = CM(W) (a) Where is the roduct rice, E is the inverse of the demand elasticity, CM is the marginal cost, W is the factor rices vector and u is the conjectural elasticity, a nonobservable variable. If we estimate the system as defined above, u will not vary over time. Since conjectural elasticity cannot be constant, Aelbaum solves the roblem by defining u as: 4 u t = A 0 + A K WK t + A L WL t + A M WM t (b) Here, WK, WL and WM are the rices of caital, labour and materials, resectively. Substituting (b) for u in (a), Aelbaum obtains, with non-linear methods, estimates of the arameters A 0, A K, A L, and A M. These arameters rovide the basis by which the author estimates the annual conjectural elasticity. The linear deendence suggested in (b) (although overcoming the fact that u is a non-observable variable) aears to be somewhat restrictive since conjectural elasticity deends uon the market shares and the conjectural variations, 5 that is, the firms exectations about the effects that changes in their roduction have on the outut levels of their rivals. Given technology and assuming otimising behaviour, it is conceivable that firms choices concerning the level of outut as a strategic variable should include the market conditions. These conditions are associated with multile and laborious asects such as the degree of concentration,

4 212 M. De Mello and A. BrandÄao the tye and level of entrance barriers, the legal and institutional framework surrounding the industry, the imlicit or exlicit agreements firms are engaged in, the diversification and substitutability of the roducts and the demand exansion or retraction cycles, amongst others. All of these may exlain the way oligooly members seculate about their rivals moves and each serves to weaken equation (b) as an accurate exlanation of the conjectural elasticity. Although existing theories are not exlicit as to how such seculations are inserted into tractable emirical models, 6 the roblem of omitted variable bias (namely, those related with the downstream market conditions) and the suggested form for the deendence relation, imose limitations on the aroach of Aelbaum. We therefore adot a different aroach, aying attention to both the main downstream and the ustream variables that affect conjectural elasticity. We resent the basic model below, dislaying only the more reresentative equations. The main features of the model and its formal derivation are consigned to the aendix. Suose an oligoolistic industry with n firms roducing a homogeneous roduct using m roduction factors. Taking firm j and solving for its maximisation roblem we obtain the following equation: (1± u je) = CM j (1) where is the market rice, u j is firm j s conjectural elasticity, E is the inverse of the demand elasticity («being that elasticity) and CM j is firm j s marginal cost. We can define the degree of the industry s market ower such that, Lr = ^ j ± CM j s j = ^ j u jes j (2) where s j is firm j s market share. Lack of data at the firm level restricts us to the basic model s aggregate form. This is resented in the next section, where only the key equations are again dislayed. Formal derivation of the model is once more consigned to the aendix The Aggregate Form of the Basic Model Assuming that the marginal costs are the same for all firms and that u j = u ; j, equation (1) can be rewritten as. 7 (1± u E) = CM (3) and the market ower measure of the industry will now be Lr = u E. If the industry is erfectly cometitive, Lr = 0. If the industry is a ure monooly Lr = E. Hence, both u and Lr rovide information about the industry s degree of cometitiveness. Since we want an estimate of the industry s conjectural elasticity, we rewrite equation (3) as: u = ± CM(w) «(4)

5 The Portuguese Milk Industry 213 To reach the conjectural elasticity value in (4), we need to estimate the demand elasticity and the industry s marginal cost. To obtain these estimates we build a simultaneous equation model with a demand equation, three factor demand functions and an equilibrium condition. The equilibrium condition takes into account that, in an oligooly, rice need not necessarily equate to marginal cost. This allows for the ossible existence of a ositive margin. In the next section we will resent the aggregate model. First, we resent the demand equation then the conditional factor demands and finally the equilibrium relation The Demand Equation. Several henomena influenced the Portuguese milk industry during the samle eriod and some of them had a significant imact on roduct demand. The mid-1970s saw the technological innovation of UHT acked milk introduced to the distribution circuits. 8 UHT milk does not require refrigeration and subsequently allows for rolonged storage. This has ermitted changes in the buying eriodicity which favoured consumtion. The free distribution of milk in Portuguese schools, undertaken by the government since 1974 resents another imortant oint regarding roduct demand. The long advertising camaign (1987± 93), financed by the milk roducers confederation, the Portuguese government and the EC authorities which romoted the slogan `milk is youth rovides another. Assuming the effects of each of these to be manifest in the same direction, and that they have been only relevant since 1977, we establish the ossible change of consumers behaviour through a dummy variable DL, included in the demand equation. 9 We additionally osit changes in the rice elasticity of demand to be ossible over the samle eriod. To allow for this ossibility we insert two additional dummy variables in the demand equation, searating the three decades of the samle eriod. 10 The demand equation is thus estimated as: ln Q = ln d 0 + «ln + d 1 ln PIB + d 2 DL + d 3 (D 1 *ln ) + d 4 (D2*ln ) + v 1 (5) Where is the market rice of milk at eriod t in constant (1990) escudos, Q is the milk consumtion at eriod t in millions of litres, and PIB is the Portuguese Gross Domestic Product at eriod t, in constant (1990) 10 9 escudos. The dummy variables are such that, D1 = 1 if t e [1962, 1970] and D1 = 0 otherwise, D2 = 1 if t e [1971, 1980] and D2 = 0 otherwise, DL = 1 if t P[1977, 1992] and DL = 0 otherwise. The disturbance term v 1 is assumed to be well behaved The Factor Demand Equations. The main industry inuts are raw materials (M), caital (C) and labour (L). These three inuts stand for more than 90% of the total cost. Raw materials alone (essentially milk) account for more than 70%. Assuming a Generalised Leontieff Cost Function for this industry, we write the industry cost function in the following form: C(Q,w) = b C w C + b L w L + b M w M + [b CC w C + b LL w L + b MM w M + 2b CL (w C w L ) + 2b CM (w C w M ) + 2b LM (w L w M ) ] Q (6)

6 214 M. De Mello and A. BrandÄao Since the aggregate factor demand functions for the industry are given by f i = C(Q,w), w i with i = M, C, L, we have: C(Q,w) = f C w C Q C(Q,w) = f L w L Q C(Q,w) = f M w M Q = b 1 C Q + b CC + b CL1 w L w C2 w L2 = b 1 L Q + b LL + b CL1 w C = b 1 M Q + b MM + b CM1 w C w M2 + b CM1 w M w C2 + b LM1 w M w L2 + b LM1 w L w M2 The Portuguese milk industry roduces a multitude of diversified roducts besides lain milk. Since observable data reflect only the industry level, we were not able to gather sufficient information to build an inutð outut table. The available data rovide information about the total quantity of rocessed milk (as an inut), the total amount of acked milk roduced and the total number of tons of all other roducts. Additionally, we have the total cost of all the milk rocessed, the total labour hours used in roduction and the cost of labour er hour, the total amount of caital included and the cost er caital unit, and the milk rice er litre aid to suliers. This information does not ermit calculation of the required amount of milk to roduce one litre of acked milk. We therefore assume that it is necessary to use one litre of lain milk as an inut to roduce one litre of acked milk. If this assumtion is accetable, then the cost of one unit of acked milk is equal to the cost of transforming that unit of milk. As the roduction factors in one milk acket are labour, caital and milk, and since we know the cost of labour and caital er manufactured litre and the cost of milk er unit, the cost of one litre of acked milk is, given this assumtion, exactly the cost of rocessing that litre of milk. 11 Since in equations (7)± (9) we are now dealing with costs of roduced milk and not the cost of milk sulied to the market, we substitute Q with the variable PRM, that is, the total amount of milk rocessed by the industry each year. 12 There are additional consequences from this assumtion. For instance, in equation (9), arameter b MM will now be 1, ; t, and all the other arameters in that equation will be zero. 13 Given these changes, equations (7) ± (9) will now be: f C PRM = b 1 CC + b C CL1 PRM + b w L w C2 f L PRM = b 1 LL + b L CL1 PRM + b w C w L2 (7) (8) (9) (79 ) (89 ) f M PRM = 1 (99 )

7 The Portuguese Milk Industry The Equilibrium Condition. As we are dealing with an oligooly we have to acknowledge the ossible existence of a ositive margin in the model. Suose the following equilibrium equation: 14 (1± m9 ) = where C(PRM,w) PRM (10) C(PRM,w) PRM = b CCw C + b LL w L + b MM w M + 2b CL (w C w L ) + 2b CM (w C w M ) + 2b LM (w L w M ) is the industry s marginal cost, and m9 is an alternative form for the mark-u, being 0 m Since m9 deend on both the market rice and the marginal cost, and since the marginal cost deends, essentially, on the factor rice vector w, it seems ossible to consider m9 as deending on and w, such that m9 = g(, w), is aroximately given by an equation with the following form. 16 m9 = a C w C + a L w L + a w M M or m9 = 1 (a Cw C + a Lw L + a Mw M ) (11) Substituting (11) into (10) and assuming, as above, that b CM = b LM = 0, we have: = (a C + b CC )w C + (a L + b LL )w L + (a M + b MM ) w M + 2b CL (w C w L ) (12) An alternative and more elaborate aroach towards the estimation of the conjectural elasticity is rovided by Aelbaum (1982). The aroach inherent in equation (11) has the advantage of making the emirical estimation of the model easier and is articularly alicable to the industry under consideration. Hence, the comlete system to be estimated is given by equations (13)± (17): ln Q = ln d 0 + «ln + d 1 ln PIB + d 2 DL + d 3 (D1*ln ) + d 4 (D2*ln ) + v1 (13) f C PRM = b 1 CC + b C CL1 PRM + b w L w C2 f L PRM = b 1 LL + b L CL1 PRM + b w C w L2 + v2 (14) + v3 (15) f M PRM = 1 (16) = (a C + b CC ) w C + (a L + b LL )w L + (a M + b MM )w M + 2b CL (w C w L ) + v5 (17)

8 v(3) 216 M. De Mello and A. BrandÄao The variables Q, PRM,, f r, f C and f M, are endogenous, all the others being exogenous. Equations 13± 15 and 17 are stochastic because of otimisation errors so, eriod t disturbance terms in each of these equations is v(i) where i = 1..., 4 and t = 1,...,30. The vector of disturbances is: 3 v(1) t t4 v(2) t v t = N (0; V ) v(4) t where the variance and covariance matrix V is non-singular and such that: E [v(i) t v(j) t ] = s 2 I if i = j = 0 if i ¹ j and i, j = 1,..., 4 E [v(i) t v(j) t± s ] = 0 if s ¹ 0, ; i, j Equation (17) deends exclusively on exogenous variables. If it is assumed that the quantity of milk roduced is unrelated to the quantity of milk demanded, then equation (13) will be indeendent of any other equations in the system. This assumtion seems reasonable given the characteristics of the industry mentioned earlier, namely that the co-oeratives were, until 1989, the exclusive buyers of the farmers milk. Although this legal advantage has been lost in recent years, the cooeratives remain resonsible for the majority of milk collection. Milk collected by other firms is manifestly insufficient since they systematically deend on the surlus of the co-oeratives for their unfulfilled needs. It is also known that the co-oeratives have the obligation of collecting all the milk their suliers roduce, regardless of its quantity or quality. Hence, we must conclude that all the milk roduced by the farmers is collected by the firms. The milk is brought to the lants and transformed into several roducts. The milk surlus of the cooeratives, not sold to other firms, will also be transformed, either by being submitted to a drying rocess or changed into butter (the only ways of storing milk). It seems ossible to resume therefore that all the milk collected is changed either into vendible or into storable roducts. Hence, the milk quantity rocessed by the industry will have more to do with the amount sulied by the farmers than with the amount consumed by the market. Equally, it seems reasonable to assume indeendence between the milk quantity rocessed by the industry and the milk quantity bought by the Portuguese. This being true, equation (13) can be estimated indeendently, with OLS, whilst the others must be estimated simultaneously, with 2SLS. The system of equations dislayed above is, then, a recursive one. 3. The Estimation Statistical Results The results obtained for equation (13) are as follows: ln Q = (0.0600) ± (0.1053) ln lnPIB DL (D1*ln) (0.0804) (0.0402) (0.0151)

9 The Portuguese Milk Industry (D2*ln ) (0.0101) R 2 = 0.98 F = 229 DW = 2.29 where the figures in arentheses are the standard errors. These results confirm demand elasticity variability. In the eriod 1962 ± 70, the elasticity estimate is ± 0.22, in the eriod 1971± 80, it is ± 0.24 and, in the eriod 1981± 91 it is ± The simultaneous estimation results of equations (14), (15) and (17), are the following: Ãf C PRM = ± ± (0.4463) ( ) R 2 = 0.894, F = 114 Ãf L PRM = ( ) ( ) R 2 = 0.899, F = 120 Ã = ± (5.6431) w C ± ( ) R 2 = 0.991, F = PRM ( ) 1 1 PRM ( ) w L w C2, w C w L2, w L w M [2(w C w L ) ], ( ) ( ) Using the estimates of b CC as ± , b LL as and b CL as , we estimated the values of the industry s marginal cost over the thirty years of the samle. With these values and the demand elasticity estimates, we obtained the conjectural elasticity and the market ower index estimates. The market rice and the estimates of the marginal cost, market ower index and conjectural elasticity are shown in Table 1. Table 1 shows that all the estimated values for the conjectural elasticity and the market ower index are ositive, which identifies an imerfectly cometitive market structure and the resence of market ower. However, those estimates must be significantly above zero to allow for more definite conclusions. To test the relevant hyotheses for the resence of erfect cometition and the absence of market ower, we used the samle mean estimates of u and Lr and their standard deviations shown below: Samle Mean Estimates Ù u Ù Lr Estimates Estimate Standard Deviations For a 5% level of significance, the erfect cometition hyotheses (H 0 : u = 0) is rejected with the t statistic samle value The absence of market ower hyothesis (H 0 :Lr = 0) is also rejected with the t statistic samle value of

10 218 M. De Mello and A. BrandÄao Table 1. The market rice and the estimated values for the marginal cost, market ower index, and conjectural elasticity of the Portuguese milk industry Market rice ÃCM t ÃL r à u t Therefore, both tests are consistent with the resence of market ower and an imerfectly cometitive market structure. With the figures for estimates of MC, u and Lr rovided in Table 1, we can ask if they resent a coherent icture of the industry and whether we should just look at the overall average or ay attention to sub-eriod trends or even individual values. Although the overall average trend can give some exlanation about the behaviour of the industry along the 30 years of the samle there are other interesting features we should ay attention to. For instance, we should oint out two distinguishable eriods in Table 1 where imortant events lead to some uheaval in the milk sector: first; the eriod between 1975 and 1979, following the revolution of Aril 1974 when democracy was attained nationally; second, the eriod between 1986 and 1991 following the accession of Portugal to the EC. The first eriod is characterised by left-wing government legislation rotecting the co-oeratives and reinforcing their role in the industry. In this eriod, milk roduction rose 13.5%, on average, er year as consumtion grew sharly. The number of co-oeratives linked to the `big three increased whilst the imlicit agreement of market artition took lace. The market rice of milk fell due to

11 The Portuguese Milk Industry 219 government subsidies designed to suort growing demand and imlant a durable habit of milk consumtion among the Portuguese oulation. The co-oeratives were faced with agreeing to higher rices and further technical aid to farmers in resonse to the increase in demand. The average wage of the manufacturing sector also rose sharly between 1974 and 1978 with the introduction of the minimum wage and higher wage claims from the recently formed unions. Higher inut rices combined with the use of obsolete roduction techniques justify the marginal cost growth we observe in Table 1. The second eriod relates to the threat of new cometitors entering the domestic market following the accession of Portugal to the EC. The immediate results of Portuguese accession were that milk rices aid to the farmers should equalise EC rices 17 and that liberalisation of the milk suly market should take lace. While the rices aid to the farmers raidly attained stagnation, the liberalisation of the milk suly market was only fully comleted by 1 January The co-oeratives had time to invest strongly, and did so, not only in new roduction techniques but also in the imrovement of asturage, cattle artificial insemination, modern milking facilities and more rational and cheaer ways of collecting the milk from their suliers. In 1989, uon deregulation of the suly market, the co-oeratives could verify that the loss of their revious legal rivilege had little effect on their dominant osition. Anticiating the strong cometition they would have to endure from 1990 onwards, and relying uon their dominant osition in the suly market, the co-oeratives increased the rice to consumers, in an attemt to obtain as much rofit as ossible before the entry of new firms. The year of 1990 went by and no new firms were installed. The co-oeratives knew that new entrants would find it difficult to obtain raw materials and, relying uon this advantage, increased the market rice of milk further. Only in 1993 did Parmalat start selling its roducts in the Portuguese domestic market, triggering the so-called `milk war. Between 1993 and 1994 the co-oeratives lost a market share of around 12% to Parmalat while the market rice fell by aroximately 7%. The resonse of the co-oeratives was to merge. This was fully accomlished in January Conclusion Taking Aelbaum (1982) as a dearture oint, we estimated the degree of cometitiveness of the Portuguese milk industry in the eriod before the market was fully oen to foreign cometition. Due to both the eculiarities of this industry and the different aroach we used to define conjectural elasticity, we were able to obtain a simultaneous linear equation system that was easier to estimate. Since our hyothesis was that a constant demand elasticity over the samle s 30 years was imrobable, we allowed for its variability by adding two dummy variables to the demand function. 18 However, if a linear demand equation had been used instead of a Cobb± Douglas, a changing demand elasticity could be derived from the demand equation without additional variables. The motive for this work aeared when a huge debate, known as `the milk war, arose in Portugal during The central issue of this debate was the easy way in which foreign firms entered the Portuguese milk market. Some critics sustained that the entrants success was due to a long ractice of market ower exloitation by domestic firms. Others believed that the ractice of redatory rices and illegal

12 220 M. De Mello and A. BrandÄao duming by foreign firms was to blame. The degree of market ower underlies both such claims. Thus, measuring the market ower of the industry aeared imortant, if one wanted to hold a valid oinion. Our results corroborate the resence of an imerfectly cometitive market structure and the exloitation of market ower by domestic firms. These results were exected since they rove comatible with detectable signs of collusive behaviour. These signs include the governmental rotection awarded to cooeratives for decades; their imlicit territorial agreement; a low milk demand elasticity (confirmed through the estimates obtained); the concerted actions of cooeratives concerning the advertising of their main roduct; control over raw materials and, finally, merger negotiations initiated as the market was oened. There is not, at resent, sufficient information to examine, in detail, the events following the merger of the `big-three but we can confirm from data currently available that Parmalat lost roughly 5% of its reviously conquered market share. Further research on this issue can be undertaken as soon as more data become available. Notes 1. `Oligosony is not an accurate concet to describe this situation. The link between the farmers and the co-oeratives has more to do with mutual trust than with merely commercial interests. Although farmers and co-oeratives are different legal entities, their historical and contractual bonds suort a comlex structure that could classify the industry as vertically integrated. 2. The `big three merger negotiations contemlated two stes. The first, comleted in January 1995, concerned only the distribution and the milk collecting circuits. The second, finished in January 1997, concerned the roduction rocess. 3. This basic model follows that of Aelbaum (1982), although the way in which it is derived could be found with other authors, namely Iwata (1974) and Rogers (1983). 4. See Aelbaum (1982: 293): `In general, u will not be constant but a function of various relevant variables. 5. If we consider the aggregate model, the conjectural elasticity will deend on the rice± cost margin and on the demand elasticity. Either way, the conjectural elasticity deends on the market conditions: ustream, by the factor rices and, downstream, by the roduct rice, market shares and demand elasticity. 6. Even if they were exlicit, the obstacles that inevitably would aear, related to the data collection on the multilicity of variables involved, would be difficult to overcome. 7. We follow Aelbaum s argument `... it is clear that, if marginal costs are the same for all firms then, in equilibrium, the conjectural elasticities must be the same as well Aelbaum (1982: 292). 8. The technological innovation of UHT milk had more imact on the demand side than on the suly side as the costs of change in roduction rocess seemed negligible. UHT milk only requires a new kind of ackaging and to be heated to higher temeratures and for longer than other tyes of milk (for examle, asteurised milk). 9. Although initiated in 1974, the school milk rogramme only covered a significant number of uils in the school year 1976/77. We also had to consider that the UHT milk weight in the total milk consumtion was already 15% in 1978, reaching 70% in Consequently, concerning the dummy variable DL, we divided the samle eriod in two: before 1977 and thereafter. 10. We tried alternative sub-eriods but those we selected guaranteed the best results. 11. Suose, for examle, that we have 1000 L of milk and that 5000esc is the cost of transforming that quantity of milk into 10 kg of cheese, 5 kg of butter and 300 L of acked milk. Given this assumtion, we know that, to roduce 300 L of acked milk, we need 300 L of milk, and the total transformation cost associated is 1500esc. We ignore the quantity of milk necessary to roduce 1 kg of cheese or 1 kg of butter but we can say that 700 l of milk are necessary to roduce 10 kg of cheese and 5 kg of butter, and we can add that the total roduction cost of those goods is 3500esc. 12. This new variable PRM will now substitute the variable Q in every equation that concerns the suly side of the model.

13 P The Portuguese Milk Industry This is lausible since the quantity of milk used to roduce one litre of acked milk does not seem to deend on the rice of milk when related to those of labour or caital. Whatever these rices are, the quantity of milk used to obtain 1 L of acked milk will deend, exclusively, on the technical roduction rocess. So, it seems imossible to substitute the milk factor for any other factor, even if their rices were relatively lower. The ossible variability of inut± outut coefficients should not affect acked milk since it is our belief that, to roduce 1 L of acked milk, 1 L of inuted milk will always be needed. We also assume efficient roduction and, in this case, the tendency to waste should be zero. 14. A similar assumtion, but using the mark-u definition in a slightly different way, can be found in Rogers (1983). 15. The mark-u is often considered to be some quantity above the unitary cost that is usually exressed by the equation = (1 + m)cm. This mark-u, m, is based on cost and ranges from [0, ` ]. So, considering costs as strictly ositive, if CM =, then, m = 0 and if CM 0, then, m `. In our view, we look at rice instead of cost to define `mark-u m9. We could call it `mark-down, for we make use of the fact that the unitary cost is, generally, a fraction of the rice. Consequently, m9 ranges from [0, 1] since, if CM > 0 Þ(1 ± m9 ) > 0 Þ (1± m9 ) > 0 Þm9 < 1 and if CM Þ (1 ± m9 ) Þ 1 1 ± m9 Þ m As mentioned in note 7, Aelbaum (1982: 293) claims that the conjectural elasticity deends on various relevant variables and states also that `... its equilibrium value, as can be seen from equation (13), will deend on the exogenous variables. Aelbaum s equation (13) is (1± u E) = C(W) and, based on it, Aelbaum assumes that u could be aroximated by the linear function u = A 0 + A K W K + A L W L + A M W M. As we see it, even taking into consideration Aelbaum s equation (13) alone, u deends not only on the exogenous variables but also on an endogenous one,. 17. In Aelbaum s model, changes of the demand elasticity over time are not taken into consideration. We assume variability of the milk demand elasticity and our estimates confirm that is not advisable to overlook this issue. 18. Portuguese milk rices to suliers were greater than the EC rices in References Aelbaum, E., `Testing Price-taking Behaviour, Journal of Econometrics, 1979, 9,. 283± 94. Aelbaum, E., `The Estimation of the Degree of Oligooly Power, Journal of Econometrics, 1982, 19,. 287± 99. Iwata, G., `Measurement of Conjectural Variations in Oligooly, Econometrica, 1974, 42(5),. 947± 66. Rogers, R., `The Behaviour of Firms in a Oligoolistic Industry. A Study of Conjectural Variations, Unublished Ph.D. Dissertation, George Washington University, May Aendix The Basic Model Suose an oligoolistic industry with n firms roducing a homogeneous roduct using m roduction factors. Let the cost function of firm j be: C j = C j (q j, w) (A1) where q j is firm j s outut and w is the factor rices vector. Let also the market demand function be: Q = D(, V) (A2) of which derivative with resect to the market rice is suosed to be negative for all > 0. In equation (A2), Q is the total industry outut, such that Q = S q j is the industry suly, and V is a vector of exogenous variables that affect demand. Assuming maximising behaviour and defining firm j s rofit as j = R j ± C j where R j and C j are, resectively, firm j s total revenue and total cost, its rofit maximising roblem is: Max [q j ± C(q j, w), subject to Q = D(, V)] (A3)

14 222 M. De Mello and A. BrandÄao The first order condition for this roblem s solution requires that firm j s marginal revenue (RM j ) equals its marginalcost (CM j ). Consequently, we have the equation: (1± u je) = CM j (A4) = (1) Where u j is the firm j conjectural elasticity concerning the industry outut such that: u j = dq q j dq j Q 1 = dq i dq i dq n q i dq j dq j dq j2 Q 1 = dq k q j 1 + ^ k ¹ j dq j2 Q = (1 + g j) q j Q (A5) dq k where g j = ^ is firm j s conjectural variation and q j k ¹ j dq j Q = S j is firm j s market share. In equation (A5), the conjectural elasticity definition for firm j (which includes both the market share and the conjectural variation), stands for the exected ercentage change in firm j rivals oututs as a reaction to a 1% change in firm j outut. In the Cournot behaviour case, dq/dq j = 1 (since dq k /dq j = 0, ; k, j; k ¹ j), and u j will simly be the market share (u j = s j ). In the erfect cometition case, u j = 0 (since g j = ± 1) and rice equals the marginal cost. In the ure monooly case, u j = 1, since there is only one firm imlying q j = Q and dq/dq j = 1. Hence, the monooly rice± cost margin equals the inverse of the demand elasticity. Rewriting equation (A4) as ± CM j = u je, we can define the market ower degree of firm j as the Lerner index l j such that: l j = ± CM j = u je (A6) Multilying both sides of equation (A6) by the market share s j and summing u over j, we will have the industry market ower degree Lr, such that: ^ j l j s j = ^ j ± CM j s j = ^ j u jes j = Lr (A7) = (2) The Aggregate Form of the Basic Model Assuming the usual aggregation condition that the marginal costs are the same for all firms and also assuming that u j = u for all j, equation (A4) can be rewritten as: (1 ± u E) = CM (A8) = (3) Since u j = u and S s j = 1, the market ower measure will now be Lr = u E. The estimate for the industry s conjectural elasticity, will be obtained from the equation (A8) rewritten as: u = ± CM(w) «(A10) = (4)

Monopolist s mark-up and the elasticity of substitution

Monopolist s mark-up and the elasticity of substitution Croatian Oerational Research Review 377 CRORR 8(7), 377 39 Monoolist s mark-u and the elasticity of substitution Ilko Vrankić, Mira Kran, and Tomislav Herceg Deartment of Economic Theory, Faculty of Economics

More information

2x2x2 Heckscher-Ohlin-Samuelson (H-O-S) model with factor substitution

2x2x2 Heckscher-Ohlin-Samuelson (H-O-S) model with factor substitution 2x2x2 Heckscher-Ohlin-amuelson (H-O- model with factor substitution The HAT ALGEBRA of the Heckscher-Ohlin model with factor substitution o far we were dealing with the easiest ossible version of the H-O-

More information

Economics 101. Lecture 7 - Monopoly and Oligopoly

Economics 101. Lecture 7 - Monopoly and Oligopoly Economics 0 Lecture 7 - Monooly and Oligooly Production Equilibrium After having exlored Walrasian equilibria with roduction in the Robinson Crusoe economy, we will now ste in to a more general setting.

More information

Econ 101A Midterm 2 Th 8 April 2009.

Econ 101A Midterm 2 Th 8 April 2009. Econ A Midterm Th 8 Aril 9. You have aroximately hour and minutes to answer the questions in the midterm. I will collect the exams at. shar. Show your work, and good luck! Problem. Production (38 oints).

More information

Exercise 2: Equivalence of the first two definitions for a differentiable function. is a convex combination of

Exercise 2: Equivalence of the first two definitions for a differentiable function. is a convex combination of March 07 Mathematical Foundations John Riley Module Marginal analysis and single variable calculus 6 Eercises Eercise : Alternative definitions of a concave function (a) For and that 0, and conve combination

More information

School of Economics and Management

School of Economics and Management School of Economics and Management TECHNICAL UNIVERSITY OF LISBON Deartment of Economics Carlos Pestana Barros & Nicolas Peyoch José Pedro Pontes A Comarative Analysis of Productivity Change in Italian

More information

Theory of Externalities Partial Equilibrium Analysis

Theory of Externalities Partial Equilibrium Analysis Theory of Externalities Partial Equilibrium Analysis Definition: An externality is resent whenever the well being of a consumer or the roduction ossibilities of a firm are directly affected by the actions

More information

Notes on Instrumental Variables Methods

Notes on Instrumental Variables Methods Notes on Instrumental Variables Methods Michele Pellizzari IGIER-Bocconi, IZA and frdb 1 The Instrumental Variable Estimator Instrumental variable estimation is the classical solution to the roblem of

More information

4. Score normalization technical details We now discuss the technical details of the score normalization method.

4. Score normalization technical details We now discuss the technical details of the score normalization method. SMT SCORING SYSTEM This document describes the scoring system for the Stanford Math Tournament We begin by giving an overview of the changes to scoring and a non-technical descrition of the scoring rules

More information

Symmetric and Asymmetric Equilibria in a Spatial Duopoly

Symmetric and Asymmetric Equilibria in a Spatial Duopoly This version: February 003 Symmetric and Asymmetric Equilibria in a Satial Duooly Marcella Scrimitore Deartment of Economics, University of Lecce, Italy Jel Classification: L3, R39 Abstract We develo a

More information

Chapter 5 Notes. These notes correspond to chapter 5 of Mas-Colell, Whinston, and Green.

Chapter 5 Notes. These notes correspond to chapter 5 of Mas-Colell, Whinston, and Green. Chater 5 Notes These notes corresond to chater 5 of Mas-Colell, Whinston, and Green. 1 Production We now turn from consumer behavior to roducer behavior. For the most art we will examine roducer behavior

More information

Tests for Two Proportions in a Stratified Design (Cochran/Mantel-Haenszel Test)

Tests for Two Proportions in a Stratified Design (Cochran/Mantel-Haenszel Test) Chater 225 Tests for Two Proortions in a Stratified Design (Cochran/Mantel-Haenszel Test) Introduction In a stratified design, the subects are selected from two or more strata which are formed from imortant

More information

International Trade with a Public Intermediate Good and the Gains from Trade

International Trade with a Public Intermediate Good and the Gains from Trade International Trade with a Public Intermediate Good and the Gains from Trade Nobuhito Suga Graduate School of Economics, Nagoya University Makoto Tawada Graduate School of Economics, Nagoya University

More information

4. CONTINUOUS VARIABLES AND ECONOMIC APPLICATIONS

4. CONTINUOUS VARIABLES AND ECONOMIC APPLICATIONS STATIC GAMES 4. CONTINUOUS VARIABLES AND ECONOMIC APPLICATIONS Universidad Carlos III de Madrid CONTINUOUS VARIABLES In many games, ure strategies that layers can choose are not only, 3 or any other finite

More information

COBB-Douglas, Constant Elasticity of Substitution (CES) and Transcendental Logarithmic Production Functions in Non-linear Type of Special Functions

COBB-Douglas, Constant Elasticity of Substitution (CES) and Transcendental Logarithmic Production Functions in Non-linear Type of Special Functions ISSN: 3-9653; IC Value: 45.98; SJ Imact Factor :6.887 Volume 5 Issue XII December 07- Available at www.ijraset.com COBB-Douglas, Constant Elasticity of Substitution (CES) and Transcendental Logarithmic

More information

Hotelling s Two- Sample T 2

Hotelling s Two- Sample T 2 Chater 600 Hotelling s Two- Samle T Introduction This module calculates ower for the Hotelling s two-grou, T-squared (T) test statistic. Hotelling s T is an extension of the univariate two-samle t-test

More information

MATH 2710: NOTES FOR ANALYSIS

MATH 2710: NOTES FOR ANALYSIS MATH 270: NOTES FOR ANALYSIS The main ideas we will learn from analysis center around the idea of a limit. Limits occurs in several settings. We will start with finite limits of sequences, then cover infinite

More information

MATH 104 THE SOLUTIONS OF THE ASSIGNMENT

MATH 104 THE SOLUTIONS OF THE ASSIGNMENT MTH 4 THE SOLUTIONS OF THE SSIGNMENT Question9. (Page 75) Solve X = if = 8 and = 4 and write a system. X =, = 8 4 = *+ *4= = 8*+ 4*= For finding the system, we use ( ) = = 6= 5, 8 /5 /5 = = 5 8 8/5 /5

More information

Statics and dynamics: some elementary concepts

Statics and dynamics: some elementary concepts 1 Statics and dynamics: some elementary concets Dynamics is the study of the movement through time of variables such as heartbeat, temerature, secies oulation, voltage, roduction, emloyment, rices and

More information

Handout #3: Peak Load Pricing

Handout #3: Peak Load Pricing andout #3: Peak Load Pricing Consider a firm that exeriences two kinds of costs a caacity cost and a marginal cost ow should caacity be riced? This issue is alicable to a wide variety of industries, including

More information

dn i where we have used the Gibbs equation for the Gibbs energy and the definition of chemical potential

dn i where we have used the Gibbs equation for the Gibbs energy and the definition of chemical potential Chem 467 Sulement to Lectures 33 Phase Equilibrium Chemical Potential Revisited We introduced the chemical otential as the conjugate variable to amount. Briefly reviewing, the total Gibbs energy of a system

More information

AI*IA 2003 Fusion of Multiple Pattern Classifiers PART III

AI*IA 2003 Fusion of Multiple Pattern Classifiers PART III AI*IA 23 Fusion of Multile Pattern Classifiers PART III AI*IA 23 Tutorial on Fusion of Multile Pattern Classifiers by F. Roli 49 Methods for fusing multile classifiers Methods for fusing multile classifiers

More information

MANAGEMENT SCIENCE doi /mnsc ec

MANAGEMENT SCIENCE doi /mnsc ec MANAGEMENT SCIENCE doi 0287/mnsc0800993ec e-comanion ONLY AVAILABLE IN ELECTRONIC FORM informs 2009 INFORMS Electronic Comanion Otimal Entry Timing in Markets with Social Influence by Yogesh V Joshi, David

More information

HEAT, WORK, AND THE FIRST LAW OF THERMODYNAMICS

HEAT, WORK, AND THE FIRST LAW OF THERMODYNAMICS HET, ORK, ND THE FIRST L OF THERMODYNMIS 8 EXERISES Section 8. The First Law of Thermodynamics 5. INTERPRET e identify the system as the water in the insulated container. The roblem involves calculating

More information

Trading OTC and Incentives to Clear Centrally

Trading OTC and Incentives to Clear Centrally Trading OTC and Incentives to Clear Centrally Gaetano Antinolfi Francesca Caraella Francesco Carli March 1, 2013 Abstract Central counterparties CCPs have been art of the modern financial system since

More information

Study on determinants of Chinese trade balance based on Bayesian VAR model

Study on determinants of Chinese trade balance based on Bayesian VAR model Available online www.jocr.com Journal of Chemical and Pharmaceutical Research, 204, 6(5):2042-2047 Research Article ISSN : 0975-7384 CODEN(USA) : JCPRC5 Study on determinants of Chinese trade balance based

More information

Lower Confidence Bound for Process-Yield Index S pk with Autocorrelated Process Data

Lower Confidence Bound for Process-Yield Index S pk with Autocorrelated Process Data Quality Technology & Quantitative Management Vol. 1, No.,. 51-65, 15 QTQM IAQM 15 Lower onfidence Bound for Process-Yield Index with Autocorrelated Process Data Fu-Kwun Wang * and Yeneneh Tamirat Deartment

More information

State Estimation with ARMarkov Models

State Estimation with ARMarkov Models Deartment of Mechanical and Aerosace Engineering Technical Reort No. 3046, October 1998. Princeton University, Princeton, NJ. State Estimation with ARMarkov Models Ryoung K. Lim 1 Columbia University,

More information

Chapter 1 Fundamentals

Chapter 1 Fundamentals Chater Fundamentals. Overview of Thermodynamics Industrial Revolution brought in large scale automation of many tedious tasks which were earlier being erformed through manual or animal labour. Inventors

More information

Oligopolistic Pricing with Online Search

Oligopolistic Pricing with Online Search Oligoolistic Pricing with Online Search Lizhen Xu, Jianqing Chen, and Andrew Whinston Lizhen Xu is a Ph.D. candidate in the Deartment of Information, Risk, and Oerations Management, Red McCombs School

More information

Transmission charging and market distortion

Transmission charging and market distortion Transmission charging and market distortion Andy Philott Tony Downward Keith Ruddell s Electric Power Otimization Centre University of Auckland www.eoc.org.nz IPAM worksho, UCLA January 13, 2016 1/56 Outline

More information

COMMUNICATION BETWEEN SHAREHOLDERS 1

COMMUNICATION BETWEEN SHAREHOLDERS 1 COMMUNICATION BTWN SHARHOLDRS 1 A B. O A : A D Lemma B.1. U to µ Z r 2 σ2 Z + σ2 X 2r ω 2 an additive constant that does not deend on a or θ, the agents ayoffs can be written as: 2r rθa ω2 + θ µ Y rcov

More information

A search cost model of obfuscation

A search cost model of obfuscation RAND Journal of Economics Vol. 43, No. 3, Fall 2012. 417 441 A search cost model of obfuscation Glenn Ellison and Alexander Wolitzky This article develos models in which obfuscation is individually rational

More information

HENSEL S LEMMA KEITH CONRAD

HENSEL S LEMMA KEITH CONRAD HENSEL S LEMMA KEITH CONRAD 1. Introduction In the -adic integers, congruences are aroximations: for a and b in Z, a b mod n is the same as a b 1/ n. Turning information modulo one ower of into similar

More information

Feedback-error control

Feedback-error control Chater 4 Feedback-error control 4.1 Introduction This chater exlains the feedback-error (FBE) control scheme originally described by Kawato [, 87, 8]. FBE is a widely used neural network based controller

More information

Optimism, Delay and (In)Efficiency in a Stochastic Model of Bargaining

Optimism, Delay and (In)Efficiency in a Stochastic Model of Bargaining Otimism, Delay and In)Efficiency in a Stochastic Model of Bargaining Juan Ortner Boston University Setember 10, 2012 Abstract I study a bilateral bargaining game in which the size of the surlus follows

More information

Stationary Monetary Equilibria with Strictly Increasing Value Functions and Non-Discrete Money Holdings Distributions: An Indeterminacy Result

Stationary Monetary Equilibria with Strictly Increasing Value Functions and Non-Discrete Money Holdings Distributions: An Indeterminacy Result CIRJE-F-615 Stationary Monetary Equilibria with Strictly Increasing Value Functions and Non-Discrete Money Holdings Distributions: An Indeterminacy Result Kazuya Kamiya University of Toyo Taashi Shimizu

More information

Econ 401A: Economic Theory Mid-term. Answers

Econ 401A: Economic Theory Mid-term. Answers . Labor suly Econ 40: Economic Theory Mid-term nswers (a) Let be labor suly. Then x 4 The key ste is setting u the budget constraint. x w w(4 x ) Thus the budget constraint can be rewritten as follows:

More information

Solutions to exercises on delays. P (x = 0 θ = 1)P (θ = 1) P (x = 0) We can replace z in the first equation by its value in the second equation.

Solutions to exercises on delays. P (x = 0 θ = 1)P (θ = 1) P (x = 0) We can replace z in the first equation by its value in the second equation. Ec 517 Christohe Chamley Solutions to exercises on delays Ex 1: P (θ = 1 x = 0) = P (x = 0 θ = 1)P (θ = 1) P (x = 0) = 1 z)µ (1 z)µ + 1 µ. The value of z is solution of µ c = δµz(1 c). We can relace z

More information

MA3H1 TOPICS IN NUMBER THEORY PART III

MA3H1 TOPICS IN NUMBER THEORY PART III MA3H1 TOPICS IN NUMBER THEORY PART III SAMIR SIKSEK 1. Congruences Modulo m In quadratic recirocity we studied congruences of the form x 2 a (mod ). We now turn our attention to situations where is relaced

More information

Analysis of some entrance probabilities for killed birth-death processes

Analysis of some entrance probabilities for killed birth-death processes Analysis of some entrance robabilities for killed birth-death rocesses Master s Thesis O.J.G. van der Velde Suervisor: Dr. F.M. Sieksma July 5, 207 Mathematical Institute, Leiden University Contents Introduction

More information

Estimation of the large covariance matrix with two-step monotone missing data

Estimation of the large covariance matrix with two-step monotone missing data Estimation of the large covariance matrix with two-ste monotone missing data Masashi Hyodo, Nobumichi Shutoh 2, Takashi Seo, and Tatjana Pavlenko 3 Deartment of Mathematical Information Science, Tokyo

More information

Entrepreneurship and new ventures finance. Designing a new business (3): Revenues and costs. Prof. Antonio Renzi

Entrepreneurship and new ventures finance. Designing a new business (3): Revenues and costs. Prof. Antonio Renzi Entrereneurshi and new ventures finance Designing a new business (3): Revenues and costs Prof. Antonio Renzi Agenda 1. Revenues analysis 2. Costs analysis 3. Break even analysis Revenue Model Primary Demand

More information

8 STOCHASTIC PROCESSES

8 STOCHASTIC PROCESSES 8 STOCHASTIC PROCESSES The word stochastic is derived from the Greek στoχαστικoς, meaning to aim at a target. Stochastic rocesses involve state which changes in a random way. A Markov rocess is a articular

More information

Solution sheet ξi ξ < ξ i+1 0 otherwise ξ ξ i N i,p 1 (ξ) + where 0 0

Solution sheet ξi ξ < ξ i+1 0 otherwise ξ ξ i N i,p 1 (ξ) + where 0 0 Advanced Finite Elements MA5337 - WS7/8 Solution sheet This exercise sheets deals with B-slines and NURBS, which are the basis of isogeometric analysis as they will later relace the olynomial ansatz-functions

More information

An Improved Calibration Method for a Chopped Pyrgeometer

An Improved Calibration Method for a Chopped Pyrgeometer 96 JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY VOLUME 17 An Imroved Calibration Method for a Choed Pyrgeometer FRIEDRICH FERGG OtoLab, Ingenieurbüro, Munich, Germany PETER WENDLING Deutsches Forschungszentrum

More information

Characterizing the Behavior of a Probabilistic CMOS Switch Through Analytical Models and Its Verification Through Simulations

Characterizing the Behavior of a Probabilistic CMOS Switch Through Analytical Models and Its Verification Through Simulations Characterizing the Behavior of a Probabilistic CMOS Switch Through Analytical Models and Its Verification Through Simulations PINAR KORKMAZ, BILGE E. S. AKGUL and KRISHNA V. PALEM Georgia Institute of

More information

Approximate Market Equilibrium for Near Gross Substitutes

Approximate Market Equilibrium for Near Gross Substitutes Aroximate Market Equilibrium for Near Gross Substitutes Chinmay Karande College of Comuting, Georgia Tech ckarande@cc.gatech.edu Nikhil Devanur College of Comuting, Georgia Tech nikhil@cc.gatech.edu Abstract

More information

A Comparison between Biased and Unbiased Estimators in Ordinary Least Squares Regression

A Comparison between Biased and Unbiased Estimators in Ordinary Least Squares Regression Journal of Modern Alied Statistical Methods Volume Issue Article 7 --03 A Comarison between Biased and Unbiased Estimators in Ordinary Least Squares Regression Ghadban Khalaf King Khalid University, Saudi

More information

Towards understanding the Lorenz curve using the Uniform distribution. Chris J. Stephens. Newcastle City Council, Newcastle upon Tyne, UK

Towards understanding the Lorenz curve using the Uniform distribution. Chris J. Stephens. Newcastle City Council, Newcastle upon Tyne, UK Towards understanding the Lorenz curve using the Uniform distribution Chris J. Stehens Newcastle City Council, Newcastle uon Tyne, UK (For the Gini-Lorenz Conference, University of Siena, Italy, May 2005)

More information

PROFIT MAXIMIZATION. π = p y Σ n i=1 w i x i (2)

PROFIT MAXIMIZATION. π = p y Σ n i=1 w i x i (2) PROFIT MAXIMIZATION DEFINITION OF A NEOCLASSICAL FIRM A neoclassical firm is an organization that controls the transformation of inuts (resources it owns or urchases into oututs or roducts (valued roducts

More information

Positive decomposition of transfer functions with multiple poles

Positive decomposition of transfer functions with multiple poles Positive decomosition of transfer functions with multile oles Béla Nagy 1, Máté Matolcsi 2, and Márta Szilvási 1 Deartment of Analysis, Technical University of Budaest (BME), H-1111, Budaest, Egry J. u.

More information

CMSC 425: Lecture 4 Geometry and Geometric Programming

CMSC 425: Lecture 4 Geometry and Geometric Programming CMSC 425: Lecture 4 Geometry and Geometric Programming Geometry for Game Programming and Grahics: For the next few lectures, we will discuss some of the basic elements of geometry. There are many areas

More information

Net Neutrality with Competing Internet Service Providers

Net Neutrality with Competing Internet Service Providers Net Neutrality with Cometing Internet Service Providers Marc Bourreau, Frago Kourandi y, Tommaso Valletti z December 1, 011 Abstract We roose a two-sided model with two cometing Internet Service Providers

More information

Operations Management

Operations Management Universidade Nova de Lisboa Faculdade de Economia Oerations Management Winter Semester 009/010 First Round Exam January, 8, 009, 8.30am Duration: h30 RULES 1. Do not searate any sheet. Write your name

More information

1. INTRODUCTION. Fn 2 = F j F j+1 (1.1)

1. INTRODUCTION. Fn 2 = F j F j+1 (1.1) CERTAIN CLASSES OF FINITE SUMS THAT INVOLVE GENERALIZED FIBONACCI AND LUCAS NUMBERS The beautiful identity R.S. Melham Deartment of Mathematical Sciences, University of Technology, Sydney PO Box 23, Broadway,

More information

Solved Problems. (a) (b) (c) Figure P4.1 Simple Classification Problems First we draw a line between each set of dark and light data points.

Solved Problems. (a) (b) (c) Figure P4.1 Simple Classification Problems First we draw a line between each set of dark and light data points. Solved Problems Solved Problems P Solve the three simle classification roblems shown in Figure P by drawing a decision boundary Find weight and bias values that result in single-neuron ercetrons with the

More information

A New Asymmetric Interaction Ridge (AIR) Regression Method

A New Asymmetric Interaction Ridge (AIR) Regression Method A New Asymmetric Interaction Ridge (AIR) Regression Method by Kristofer Månsson, Ghazi Shukur, and Pär Sölander The Swedish Retail Institute, HUI Research, Stockholm, Sweden. Deartment of Economics and

More information

The Supply Side of the Economy. 1 The Production Function: What Determines the Total Production

The Supply Side of the Economy. 1 The Production Function: What Determines the Total Production Lecture Notes 3 The Suly Side of the Economy (Mankiw, Cht. 3) 1 The Production Function: What Determines the Total Production of Goods and Services? An economy's outut of goods and services - its GDP -

More information

Sets of Real Numbers

Sets of Real Numbers Chater 4 Sets of Real Numbers 4. The Integers Z and their Proerties In our revious discussions about sets and functions the set of integers Z served as a key examle. Its ubiquitousness comes from the fact

More information

SIGNALING IN CONTESTS. Tomer Ifergane and Aner Sela. Discussion Paper No November 2017

SIGNALING IN CONTESTS. Tomer Ifergane and Aner Sela. Discussion Paper No November 2017 SIGNALING IN CONTESTS Tomer Ifergane and Aner Sela Discussion Paer No. 17-08 November 017 Monaster Center for Economic Research Ben-Gurion University of the Negev P.O. Box 653 Beer Sheva, Israel Fax: 97-8-647941

More information

1 C 6, 3 4, 4. Player S 5, 2 3, 1

1 C 6, 3 4, 4. Player S 5, 2 3, 1 University of alifornia, Davis - Deartment of Economics PRING EN / ARE : MIROEONOMI TEORY Professor Giacomo Bonanno ====================================================================== MIDTERM EXAM ANWER

More information

A continuous review inventory model with the controllable production rate of the manufacturer

A continuous review inventory model with the controllable production rate of the manufacturer Intl. Trans. in O. Res. 12 (2005) 247 258 INTERNATIONAL TRANSACTIONS IN OERATIONAL RESEARCH A continuous review inventory model with the controllable roduction rate of the manufacturer I. K. Moon and B.

More information

Evaluating Circuit Reliability Under Probabilistic Gate-Level Fault Models

Evaluating Circuit Reliability Under Probabilistic Gate-Level Fault Models Evaluating Circuit Reliability Under Probabilistic Gate-Level Fault Models Ketan N. Patel, Igor L. Markov and John P. Hayes University of Michigan, Ann Arbor 48109-2122 {knatel,imarkov,jhayes}@eecs.umich.edu

More information

Section 0.10: Complex Numbers from Precalculus Prerequisites a.k.a. Chapter 0 by Carl Stitz, PhD, and Jeff Zeager, PhD, is available under a Creative

Section 0.10: Complex Numbers from Precalculus Prerequisites a.k.a. Chapter 0 by Carl Stitz, PhD, and Jeff Zeager, PhD, is available under a Creative Section 0.0: Comlex Numbers from Precalculus Prerequisites a.k.a. Chater 0 by Carl Stitz, PhD, and Jeff Zeager, PhD, is available under a Creative Commons Attribution-NonCommercial-ShareAlike.0 license.

More information

The Impact of Demand Uncertainty on Consumer Subsidies for Green Technology Adoption

The Impact of Demand Uncertainty on Consumer Subsidies for Green Technology Adoption "The Imact of Consumer Subsidies for Green Technology Adotion." Cohen, Maxine C., Ruben Lobel and Georgia Perakis. Management Science Vol. 62, No. 5 (2016: 1235-1258. htt://dx.doi.org/10.1287/mnsc.2015.2173

More information

HOMOGENEITY AND SUPPLY

HOMOGENEITY AND SUPPLY HOMOGENEITY AND SUPPLY JEFFREY T. LAFRANCE AND RULON D. POPE Suly functions in the ubiquitous Gorman class are examined for their homogeneity roerties. Homogeneity laces surrisingly strong restrictions

More information

Online Appendix for The Timing and Method of Payment in Mergers when Acquirers Are Financially Constrained

Online Appendix for The Timing and Method of Payment in Mergers when Acquirers Are Financially Constrained Online Aendix for The Timing and Method of Payment in Mergers when Acquirers Are Financially Constrained Alexander S. Gorbenko USC Marshall School of Business Andrey Malenko MIT Sloan School of Management

More information

RANDOM WALKS AND PERCOLATION: AN ANALYSIS OF CURRENT RESEARCH ON MODELING NATURAL PROCESSES

RANDOM WALKS AND PERCOLATION: AN ANALYSIS OF CURRENT RESEARCH ON MODELING NATURAL PROCESSES RANDOM WALKS AND PERCOLATION: AN ANALYSIS OF CURRENT RESEARCH ON MODELING NATURAL PROCESSES AARON ZWIEBACH Abstract. In this aer we will analyze research that has been recently done in the field of discrete

More information

CHAPTER 5 STATISTICAL INFERENCE. 1.0 Hypothesis Testing. 2.0 Decision Errors. 3.0 How a Hypothesis is Tested. 4.0 Test for Goodness of Fit

CHAPTER 5 STATISTICAL INFERENCE. 1.0 Hypothesis Testing. 2.0 Decision Errors. 3.0 How a Hypothesis is Tested. 4.0 Test for Goodness of Fit Chater 5 Statistical Inference 69 CHAPTER 5 STATISTICAL INFERENCE.0 Hyothesis Testing.0 Decision Errors 3.0 How a Hyothesis is Tested 4.0 Test for Goodness of Fit 5.0 Inferences about Two Means It ain't

More information

Estimation of Separable Representations in Psychophysical Experiments

Estimation of Separable Representations in Psychophysical Experiments Estimation of Searable Reresentations in Psychohysical Exeriments Michele Bernasconi (mbernasconi@eco.uninsubria.it) Christine Choirat (cchoirat@eco.uninsubria.it) Raffaello Seri (rseri@eco.uninsubria.it)

More information

General Linear Model Introduction, Classes of Linear models and Estimation

General Linear Model Introduction, Classes of Linear models and Estimation Stat 740 General Linear Model Introduction, Classes of Linear models and Estimation An aim of scientific enquiry: To describe or to discover relationshis among events (variables) in the controlled (laboratory)

More information

Evaluating Process Capability Indices for some Quality Characteristics of a Manufacturing Process

Evaluating Process Capability Indices for some Quality Characteristics of a Manufacturing Process Journal of Statistical and Econometric Methods, vol., no.3, 013, 105-114 ISSN: 051-5057 (rint version), 051-5065(online) Scienress Ltd, 013 Evaluating Process aability Indices for some Quality haracteristics

More information

Adaptive estimation with change detection for streaming data

Adaptive estimation with change detection for streaming data Adative estimation with change detection for streaming data A thesis resented for the degree of Doctor of Philosohy of the University of London and the Diloma of Imerial College by Dean Adam Bodenham Deartment

More information

The one-sample t test for a population mean

The one-sample t test for a population mean Objectives Constructing and assessing hyotheses The t-statistic and the P-value Statistical significance The one-samle t test for a oulation mean One-sided versus two-sided tests Further reading: OS3,

More information

Operations Management

Operations Management Universidade Nova de Lisboa Faculdade de Economia Oerations Management Winter Semester 010/011 Second Round Exam January 6, 011, 5.30.m Duration: h30 RULES 1. Do not searate any sheet. Write your name

More information

Recovering preferences in the household production framework: The case of averting behavior

Recovering preferences in the household production framework: The case of averting behavior Udo Ebert Recovering references in the household roduction framework: The case of averting behavior February 2002 * Address: Deartment of Economics, University of Oldenburg, D-26 Oldenburg, ermany Tel.:

More information

Combining Logistic Regression with Kriging for Mapping the Risk of Occurrence of Unexploded Ordnance (UXO)

Combining Logistic Regression with Kriging for Mapping the Risk of Occurrence of Unexploded Ordnance (UXO) Combining Logistic Regression with Kriging for Maing the Risk of Occurrence of Unexloded Ordnance (UXO) H. Saito (), P. Goovaerts (), S. A. McKenna (2) Environmental and Water Resources Engineering, Deartment

More information

Plotting the Wilson distribution

Plotting the Wilson distribution , Survey of English Usage, University College London Setember 018 1 1. Introduction We have discussed the Wilson score interval at length elsewhere (Wallis 013a, b). Given an observed Binomial roortion

More information

The Kiel Institute for the World Economy

The Kiel Institute for the World Economy The Kiel Institute for the World Economy Duesternbrooker Weg 20 2405 Kiel (Germany) Kieler Working Paer No. 277 Increasing Returns to Scale and the Long-Run Phillis Curve by Andrea Vaona and Dennis Snower

More information

The Graph Accessibility Problem and the Universality of the Collision CRCW Conflict Resolution Rule

The Graph Accessibility Problem and the Universality of the Collision CRCW Conflict Resolution Rule The Grah Accessibility Problem and the Universality of the Collision CRCW Conflict Resolution Rule STEFAN D. BRUDA Deartment of Comuter Science Bisho s University Lennoxville, Quebec J1M 1Z7 CANADA bruda@cs.ubishos.ca

More information

John Weatherwax. Analysis of Parallel Depth First Search Algorithms

John Weatherwax. Analysis of Parallel Depth First Search Algorithms Sulementary Discussions and Solutions to Selected Problems in: Introduction to Parallel Comuting by Viin Kumar, Ananth Grama, Anshul Guta, & George Karyis John Weatherwax Chater 8 Analysis of Parallel

More information

Pro-Consumer Price Ceilings under Uncertainty

Pro-Consumer Price Ceilings under Uncertainty Pro-Consumer Price Ceilings under Uncertainty John Bennett y Ioana Chioveanu z March 11, 2015 Abstract We examine ro-consumer rice ceilings under regulatory uncertainty about demand and suly. In a erfectly

More information

Wolfgang POESSNECKER and Ulrich GROSS*

Wolfgang POESSNECKER and Ulrich GROSS* Proceedings of the Asian Thermohysical Proerties onference -4 August, 007, Fukuoka, Jaan Paer No. 0 A QUASI-STEADY YLINDER METHOD FOR THE SIMULTANEOUS DETERMINATION OF HEAT APAITY, THERMAL ONDUTIVITY AND

More information

Towards New Probabilistic Assumptions in Business Intelligence. University of Information Technology and Management in Rzeszow, Poland

Towards New Probabilistic Assumptions in Business Intelligence. University of Information Technology and Management in Rzeszow, Poland Studia Humana Volume 3:4 (2014),. 11 21 DOI: 10.1515/sh-2015-0003 Towards New robabilistic Assumtions in Business Intelligence Andrew Schumann University of Information Technology and Management in Rzeszow,

More information

CHAPTER-II Control Charts for Fraction Nonconforming using m-of-m Runs Rules

CHAPTER-II Control Charts for Fraction Nonconforming using m-of-m Runs Rules CHAPTER-II Control Charts for Fraction Nonconforming using m-of-m Runs Rules. Introduction: The is widely used in industry to monitor the number of fraction nonconforming units. A nonconforming unit is

More information

The Binomial Approach for Probability of Detection

The Binomial Approach for Probability of Detection Vol. No. (Mar 5) - The e-journal of Nondestructive Testing - ISSN 45-494 www.ndt.net/?id=7498 The Binomial Aroach for of Detection Carlos Correia Gruo Endalloy C.A. - Caracas - Venezuela www.endalloy.net

More information

On the Field of a Stationary Charged Spherical Source

On the Field of a Stationary Charged Spherical Source Volume PRORESS IN PHYSICS Aril, 009 On the Field of a Stationary Charged Sherical Source Nikias Stavroulakis Solomou 35, 533 Chalandri, reece E-mail: nikias.stavroulakis@yahoo.fr The equations of gravitation

More information

ute measures of uncertainty called standard errors for these b j estimates and the resulting forecasts if certain conditions are satis- ed. Note the e

ute measures of uncertainty called standard errors for these b j estimates and the resulting forecasts if certain conditions are satis- ed. Note the e Regression with Time Series Errors David A. Dickey, North Carolina State University Abstract: The basic assumtions of regression are reviewed. Grahical and statistical methods for checking the assumtions

More information

Dr. Shalabh Department of Mathematics and Statistics Indian Institute of Technology Kanpur

Dr. Shalabh Department of Mathematics and Statistics Indian Institute of Technology Kanpur Analysis of Variance and Design of Exeriment-I MODULE II LECTURE -4 GENERAL LINEAR HPOTHESIS AND ANALSIS OF VARIANCE Dr. Shalabh Deartment of Mathematics and Statistics Indian Institute of Technology Kanur

More information

The Nottingham eprints service makes this work by researchers of the University of Nottingham available open access under the following conditions.

The Nottingham eprints service makes this work by researchers of the University of Nottingham available open access under the following conditions. Harvey, David I. and Leybourne, Stehen J. and Taylor, A.M. Robert (04) On infimum Dickey Fuller unit root tests allowing for a trend break under the null. Comutational Statistics & Data Analysis, 78..

More information

Flirting with the Enemy: Online Competitor Referral and Entry-Deterrence

Flirting with the Enemy: Online Competitor Referral and Entry-Deterrence Flirting with the Enemy: Online Cometitor Referral and Entry-Deterrence January 11, 2016 Abstract Internet retailers often comete fiercely for consumers through exensive efforts like search engine advertising,

More information

arxiv: v2 [stat.me] 3 Nov 2014

arxiv: v2 [stat.me] 3 Nov 2014 onarametric Stein-tye Shrinkage Covariance Matrix Estimators in High-Dimensional Settings Anestis Touloumis Cancer Research UK Cambridge Institute University of Cambridge Cambridge CB2 0RE, U.K. Anestis.Touloumis@cruk.cam.ac.uk

More information

arxiv:cond-mat/ v2 25 Sep 2002

arxiv:cond-mat/ v2 25 Sep 2002 Energy fluctuations at the multicritical oint in two-dimensional sin glasses arxiv:cond-mat/0207694 v2 25 Se 2002 1. Introduction Hidetoshi Nishimori, Cyril Falvo and Yukiyasu Ozeki Deartment of Physics,

More information

SIMULATED ANNEALING AND JOINT MANUFACTURING BATCH-SIZING. Ruhul SARKER. Xin YAO

SIMULATED ANNEALING AND JOINT MANUFACTURING BATCH-SIZING. Ruhul SARKER. Xin YAO Yugoslav Journal of Oerations Research 13 (003), Number, 45-59 SIMULATED ANNEALING AND JOINT MANUFACTURING BATCH-SIZING Ruhul SARKER School of Comuter Science, The University of New South Wales, ADFA,

More information

Cybernetic Interpretation of the Riemann Zeta Function

Cybernetic Interpretation of the Riemann Zeta Function Cybernetic Interretation of the Riemann Zeta Function Petr Klán, Det. of System Analysis, University of Economics in Prague, Czech Reublic, etr.klan@vse.cz arxiv:602.05507v [cs.sy] 2 Feb 206 Abstract:

More information

Nonparametric estimation of Exact consumer surplus with endogeneity in price

Nonparametric estimation of Exact consumer surplus with endogeneity in price Nonarametric estimation of Exact consumer surlus with endogeneity in rice Anne Vanhems February 7, 2009 Abstract This aer deals with nonarametric estimation of variation of exact consumer surlus with endogenous

More information

Multi-Operation Multi-Machine Scheduling

Multi-Operation Multi-Machine Scheduling Multi-Oeration Multi-Machine Scheduling Weizhen Mao he College of William and Mary, Williamsburg VA 3185, USA Abstract. In the multi-oeration scheduling that arises in industrial engineering, each job

More information

3-Unit System Comprising Two Types of Units with First Come First Served Repair Pattern Except When Both Types of Units are Waiting for Repair

3-Unit System Comprising Two Types of Units with First Come First Served Repair Pattern Except When Both Types of Units are Waiting for Repair Journal of Mathematics and Statistics 6 (3): 36-30, 00 ISSN 49-3644 00 Science Publications 3-Unit System Comrising Two Tyes of Units with First Come First Served Reair Pattern Excet When Both Tyes of

More information

RUN-TO-RUN CONTROL AND PERFORMANCE MONITORING OF OVERLAY IN SEMICONDUCTOR MANUFACTURING. 3 Department of Chemical Engineering

RUN-TO-RUN CONTROL AND PERFORMANCE MONITORING OF OVERLAY IN SEMICONDUCTOR MANUFACTURING. 3 Department of Chemical Engineering Coyright 2002 IFAC 15th Triennial World Congress, Barcelona, Sain RUN-TO-RUN CONTROL AND PERFORMANCE MONITORING OF OVERLAY IN SEMICONDUCTOR MANUFACTURING C.A. Bode 1, B.S. Ko 2, and T.F. Edgar 3 1 Advanced

More information