Competition in the health care market: a two-sided. approach
|
|
- Ralf King
- 5 years ago
- Views:
Transcription
1 Cometition in the health care market: a two-sie aroach Mario Pezzino Giacomo Pignataro Abstract Two ientical hositals comete for atients an octors choosing locations (e.g. secializations) on a Hotelling line, an selecting the quality of the treatment an the salary for the octors. Patients ay the rice chosen by a benevolent central lanner. Introucing the resence of cross-grou externalities for the atients (i.e. ceteris aribus atients refer the hosital with the highest number of octors), we show that in equilibrium hositals always maximally ifferentiate their services. The regulator, choosing the rice, can affect only the rovision of quality that, in equilibrium, may be rovie at the socially otimal level. Keywors: rice regulation, quality cometition, satial cometition, gatekeeing JEL classification: L13, L50, R30, R38, D8, I11, I18 School of Social Sciences, University of Manchester. Manchester, M13 9PL. Mario.Pezzino@manchester.ac.uk DEMQ, University of Catania. Catania, Giacomo.Pignataro@unict.it
2 1. Introuction The aer stuies the cometition between two ientical hositals that comete for atients an octors choosing secializations, quality an salaries, when rices are regulate by a benevolent central lanner. In articular, atients an octors are uniformly istribute on a segment of unitary length an incur quaratic mismatch costs to access a hosital locate at a ositive istance. Assuming in aition that atients exerience aositive cross-grou externality with resect to the number of octors emloye in a hosital, our moel connects two recent an growing branches of literature: contributions regaring imerfect hosital non rice cometition, an works concerning the stuy of cometition in two-sie markets. On one sie, recent contributions of health economics stuy the strategic behaviour of hositals that comete for atients choosing the secialization an the quality of their service when rices are in general regulate by a benevolent central lanner. In articular, the basic frameworks of the linear (H. Hotelling, 199) city an the circular (S.C. Salo, 1979) city have been use, following the extension roose by (N. Economies, 1993, 1989) in which a quality choice stage is introuce in the game. Examles of aers stuying (uoolistic) hosital cometition when locations are on the line are given by (P.S. Calem an J.A. Rizzo, 1995), (K. Brekke et al., 006), (K. Brekke et al., 007). While in the first two aers agents are assume to be erfectly informe, in the last one the authors introuce the ossibility that atients are not informe about the isease they suffer an about the quality an secialization choices of the hositals. The common result of these aers is that in equilibrium the level of rouct ifferentiation an the rovision of quality can be resectively excessive (insufficient) an insufficient (excessive) comare to the social otimum. In (P.S. Calem an J.A. Rizzo,
3 1995) it is assume that hositals share art of the transortation costs (mismatch costs) that atients incur to reach the chosen hosital; rices are regulate, but the analysis of otimal regulation is missing. (K. Brekke, R. Nuscheler an O.R. Straume, 006) stuy otimal rice regulation aoting a similar framework, removing, however, the assumtion that hositals share mismatch costs with their atients. The Hotelling framework is borrowe also in (P.P. Barros an X. Martinez-Giralt, 00); however, the authors are intereste in stuying the cometition (in rices an qualities) between two hositals when a thir-arty ayer bears art of the atient s treatment rice eening on ifferent coayment systems. Paers that stuy oligoolistic cometition in the health market using the framework of Salo s circular city are (H. Gravelle, 1999), (H. Gravelle an G. Masiero, 000), an (R. Nuscheler, 003). Assuming hositals (or in articular general ractitioners, GPs, for the first two aers) locate on the circumference of a circle, the interest of the authors if focuse to the entry ecisions rather than the secialization choice of health services. What in our oinion has not been fully exlore in this literature is the role laye by the inut sie of the market, i.e. the octors. Hositals comete on one sie for atients, but at the same time they comete to attract octors. Some ecision variables can be secific, such as salaries or rouctivity bonuses; others variables (such as quality an secialization) chosen by the hositals affect the ecisions of octors as well as atients. Doctors coul resent ifferent references towars the secialization chosen by the hositals; in aition, in our oinion it is reasonable to assume that ceteris aribus all octors woul receive a higher utility if hire by the highest quality hosital. 3
4 Moelling hositals cometition for octors introuces another asect that the literature mentione above has not stuie yet: inirect network externalities. Such a feature has been stuie in the literature concerning the so calle two-sie markets ((B. Caillau an B. Jullien, 003), (M. Armstrong, 005, M. Armstrong an J. Wright, 004), (J-C. Rochet an J. Tirole, 003)). In a two-sie market agents belonging to two ifferent grous receive utility only from interacting with the members of the other grou through the service of a latform. The number of agents of one grou that join a latform generates an inirect network externality to the member of the other grou joining the same latform. Tyical examles of such markets are the broacasting inustry, the ayment cars sector, software inustry. In our oinion, hositals can be thought as latforms facing atients an octors on the two sies of the market for health care, esecially for services that can be offere only with the facilities rovie in a hosital. (D. Barey an J-C. Rochet, 006) introuce such an iea stuying the cometition of health lans (instea of hositals) for atients an octors. In their moel atients have ifferent robabilities of being ill an they benefit from belonging to a health lan with a large number of octors, who in turn are istribute on a Hotelling line an are ai on a fee-for-service regime (imlying that octors too have a ositive cross-grou externality towars the number of olicy holers). Hosital lans comete in the level of octors remuneration an the remium. The authors show that less restrictive lans in equilibrium may obtain higher rofits ue to the resence of cross-grou externalities. The aim of our aer is instea to stuy hosital (uoolistic) cometition when both atients an octors are istribute on a line an hositals comete for both grous choosing qualities, salaries an locations. We shall assume that rices are regulate by a 4
5 benevolent central lanner. We want to stuy the case where ceteris aribus atients receive higher utility from being serve in a bigger (in terms of number of octors) hosital, while octors (being their salary not relate to the number of atients serve) o not have any externality regaring the number of atients who ecie to be serve by a hosital. Initially, we will stuy a moel of comlete information (as in (K. Brekke, R. Nuscheler an O.R. Straume, 006)), then we will stuy the case in which atients are imerfectly informe about hositals strategic ecisions an about the isease they suffer, an GPs woul lay a gatekeeing role in the system, (as in (K. Brekke, R. Nuscheler an O.R. Straume, 007)). The timing of the game (similar to (K. Brekke, R. Nuscheler an O.R. Straume, 007)) is given as follows: - In stage 1 the regulator sets rices an ecies whether all atients shoul visit a GP (at a cost) in orer to acquire the necessary information regaring the hositals (strict gatekeeing). - In stage hositals simultaneously choose secialisations. - In stage 3 hositals simultaneously choose qualities an salaries. - In stage 4 atients an octors choose a hosital. If the regulator can not imose a regime of strict gatekeeing, an aitional stage can be introuce in between stage 3 an 4, in which atients choose whether to visit a GP at a cost. We show that, exlicitly moelling the octors sie of the market, cometition increases to the oint that for any combination of arameters hositals will choose to maximally ifferentiate their services. In contrast to what has been shown by (K. Brekke, R. Nuscheler an O.R. Straume, 006) uner the assumtion of comlete information an by (K. Brekke, 5
6 R. Nuscheler an O.R. Straume, 007) uner the assumtion that only a ortion of the atients are informe regaring their illness an hositals characteristics, the regulator can now only inirectly affect the quality rovie through the rice selection an, inee, achieve in equilibrium the socially otimal quality rovision. Location choice, instea, is not affect by the rice chosen at the beginning of the game an being maximal ifferentiation subotimal, the equilibrium can only reach a secon best situation. The rest of the aer is structure as follows. Section two stuies the moel with comlete information an escribes the results. Section three introuces incomlete information an a gatekeeing role for GPs. Section four conclues.. The moel with informe atients Let us the market for hosital services be escribe by four grous of agents. Patients Patients eman inelastically one unit of hosital care. They are istribute uniformly with ensity equal to one on a segment of length equal to one. To access a hosital they nee to ay the regulate rice > 0. In aition, atients incur quaratic mismatch cost when they are treate in a hosital not secialize in their tye of illness. The inirect utility, net of the mismatch an access costs, of the generic atients locate at location z treate in hosital i locate at x i, i=1, is given by: ( ) u = v + γn + q t z x (1) i i i i 6
7 Where v > 0 i [ 0,1] is the utility that each atient obtains when recovere from her isease, n is the number of octors working for hosital i, γ 0 is the measure of the externality exerience by the atients when an extra octor works for hosital i; q i > 0 is the quality chosen by hosital i; t > 0 is the mismatch cost arameter. Doctors Every octor sulies inelastically one unit of labour. They are uniformly istribute with ensity equal to one on a segment of length equal to one. Working in a hosital is their only source of utility. The inirect utility of the generic octor locate at y emloye by hosital i locate at x i, i=1,, is given by: ( ) u = v + ϑq + w t y x () i i i i where v > 0 is the utility that octors obtain from their job, ϑ 0 is the measure of the benefit that octors obtain from working in a hosital roviing quality equal to 1; t > 0 is the arameter of the mismatch costs octors incur from working in a hosital not secialize i their referre treatment an wi 0 is the wage ai by hosital i. Hositals There are two hositals, inexe by i=1,. They choose their locations 1 (secialization) on a segment of length equal to one; in articular, let us efine x i, i=1,, the location of hosital i, an let us assume without loss of generality that x1 x an = x x1. Hositals can also invest in quality in orer to attract atients an octors. We assume 1 Symmetric by assumtion. 7
8 fixe costs for quality enhancement. In orer to attract octors, hositals choose also the salary wi 0. The rofit function for the generic hosital i is therefore given by: where [ 0,1] i qi Π i = ni wini k (3) n is the number of atients serve by hosital i, kq i / are the fixe costs of quality enhancement an k > 0 is the arameter measuring the intensity of costs for quality. Regulator The regulator is a benevolent central lanner who sets the rice of the hosital services in orer to maximize social welfare (given by the summation of atients, octors an hositals surlus), subject to the constraint that hositals o not earn negative rofits. We are therefore focusing in the stuy of a rosective ayment system such as the DRGricing system. We want to stuy the Subgame Perfect Nash Equilibrium, SPNE, of a three stage game in which, in stage 1 the regulator sets the rice > 0, in stage hositals choose secializations x i, i=1,, an in stage 3 hositals comete for atients an octors maximizing the rofit functions choosing qualities an wages. We solve the game by the metho of backwar inuction. This is a articular version (the regulator oes not nee to imose a strict gatekeeing regime since atients are assume to be informe) of the sequencing we escribe in the revious section. 8
9 Let us start from stage 3 of the game. For given rice an secializations, hositals choose simultaneously an not cooeratively quality an wages in orer to attract atients an octors an maximize rofits. The only source of revenues comes from the rice ai by atients, however hositals comete for octors since they generate a ositive network externality on atients. In orer to stuy hositals ayoff functions, we nee to efine k =,, i.e. the eman of atients an the suly of octors for each hosital. To o so, we look for the marginal atient an the marginal octor, i.e. the atient an the octor who are inifferent to access either of the two hositals. The marginal atient is locate at z [ 0,1] given by: k n i, 1 1 ( ) = ( ) = + γ ( n n ) + ( q q ) u z u z z t (4) an the marginal octor is locate at y [ 0,1] given by: 1 1 ( ) = ( ) = + ϑ ( q q ) + ( w w ) u y u y y t (5) Given the assumtions regaring atients an octors behaviour an istribution we know that: n = z n = 1 n 1 1 n = y n = 1 n 1 1 (6) Substituting (4) an (5) into (6), an solving the equalities exresse in (6), we obtain: n n ( w1 w + ϑ ( q1 q )) + t ( q1 q + t ) 1 tt 1 γ = ( q q ) + ( w w ) 1 ϑ = + t 1 1 (7) 9
10 Using the exressions of the market shares into (3), we can now exress the generic hosital i s rofits as function of qualities an wages. Assumtions 1 an ensure the existence of the equilibrium. Proosition 1 escribes the equilibrium of the last stage of the game. Assumtion 1 Let us assume that k is sufficiently high, i.e. k max { k, k, k, k } 1 3 4, where k = ϑ t, 1 / ( ϑ ) ( t t γ ) = + +, k = ( + ϑ )( t + γϑ ) t t, ( ) k t γϑ γ k 1 /4 3 1 /4 4 = + /4 tt. Assumtion Let us assume that atient s mismatch costs are sufficiently high, i.e. ( ( ( ( ) ) { γ ϑ γϑ γϑ ) ϑ ) ( γϑ ) γ ϑ } t > max / + t / + t + t + / /3, t + /4. Proosition 1 Assume that all agents are erfectly informe, that Assumtions 1 an hol. Then hositals equilibrium quality an salary at stage three of the game are escribe by: q = + t ϑ γ w = t t kt 1 γ Π = + t t 4kt ( + t ) ϑ (8) 10
11 if tt >, γ or by: q = w = 0 Π = t + γϑ kt t 4 ( 4 ( t + γϑ ) ) kt 8kt t 4 (9) otherwise. Proof See Aenix A. The equilibrium in the quality/salary subgame can be also escribe by the following comarative static results: (a) if > : q q q q q q q < 0 = 0 = 0 > 0 > 0 < 0 < 0 t t γ ϑ k w w w w w w w < 0 < 0 > 0 = 0 > 0 < 0 = 0 t t γ ϑ k (10) (b) otherwise: q q q q q q q t < t < γ > ϑ > > < k < (11) Results are intuitive. If >, an increase in the istance between the hositals,, or in the mismatch costs lowers the egree of cometition an in turn the incentive for hositals 11
12 to rovie high quality or ay high salaries (note in aition that the assumtion of inirect network externalities for the atients rouces the result that an increase of atients mismatch costs has a negative effect on salary: if cometition for atients is softene, hositals lose the incentive to comete fiercely for octors an the salary ecrease in equilibrium). If the regulator selects a higher rice, the incentive to comete for atients increases an consequently hositals ten to rovie higher quality an ay octors better. Clearly, an increase in the cost to rovie quality has a negative effect on such rovision, but not on salary selection. Quality (but not salary) is ositively affecte by an increase in ϑ, while the salary (but not the quality) is ositively affect by an increase in γ (again, ceteris aribus, the more atients benefit from an increase of the number of octors emloye in a hosital, the higher the incentive for hositals to ay higher salaries). In comarison to revious literature, now hositals have one more reason to increase quality, e.g. to attract an higher number of octors an, in turn, to be more cometitive on the atients sie of the market. At the same time, the resence of network cross-grou externalities exlains why hositals are willing to bear an extra cost (octors emloyment) in aition to investments in quality. If instea 0 <, results are mostly unchange regaring the equilibrium quality. However, now q/ t < 0 an q/ γ > 0. For such a range of rices hositals wish to ay a negative salary to octors, but we are not allowing negative salaries an in equilibrium salaries are equal to zero; it follows that if t ecreases (the octors sie of the market is more cometitive) or γ increases (atients benefit more from interacting with octors), hositals react increasing quality (rather than salaries) to attract octors. 1
13 We can now move to stage of the game. Proosition escribes the location ecisions of the two hositals. Proosition For any given > 0 an execting ay-offs given either by (8) or (9), if Assumtions 1 an 3 hol, then both hositals location best resonse is to locate at the extremes of the unitary segment, i.e. = 1. Proof See Aenix Proosition contrasts to what has been shown in revious literature, in which hositals might even ecie to minimally ifferentiate. Now, aing a new sie to the market, i.e. the octors, increase the egree of cometition to the oint that it is always a best resonse to maximally ifferentiate from the cometitor in orer to soften cometition. In orer to stuy stage 1 on the game, it is convenient to move to the analysis of the social otimum an, therefore, the rice ecision of the regulator. Let us escribe, then, the welfare function the regulator aims to maximize. Given the assumtions of the moel, the rice ai by the atients an the wage receive by the octors o not create any istortion of the eman an suly of care. It follows that welfare is affecte only by the location an quality ecisions of the hositals. Consequently, the welfare function is given by: ( ) γ t + t 1 W = v + v + + q ( 1+ ϑ ) kq + ( t + t ) (1)
14 where the first four elements of the summation are resectively the benefit for atients an octors to access a hosital, the ositive externality for the atients when they interact with octors, an the benefits for atients an octors from accessing hosital quality; the fifth element is the quality enhancement costs that hositals (symmetrically) incur; the last two terms are given by the mismatch costs atients an octors bear to access the hositals. If the regulator coul irectly choose quality an locations, the first best otimum woul be escribe by: 1+ϑ q = k 1 = (13) However, we are assuming that the regulator can not choose quality nor locations: he can at most affect quality through the rice, knowing that in the following stage hositals woul choose to maximally ifferentiate for any given rice. Proosition 3 escribes the equilibrium of the game. Proosition 3 If Assumtions 1 an hol an γ < t + t, in equilibrium the regulator chooses a rice that generates the socially otimal quality rovision, i.e. q = (1 + ϑ)/ k an maximal rouct ifferentiation, i.e. = 1. In articular, if t + t > γ > t (an quality/salary cometition is escribe by (8)), then the rice will be equal to t = ; if γ t (an quality/salary cometition is instea escribe by (9)), then the rice will be equal to tt ( ϑ ) ( t γϑ ) = ( 1 + )/ +. If, instea, γ t + t, then the rice will be equal to 14
15 ( ) ( ) ( )( ) = kt t γ + t k t + t γ kt kγ ϑ t ϑ > 0 an the level of quality rovie in equilibrium coul be below or above the socially otimal one. Proof See Aenix From a social oint of view, the moel rouces a clear result: the regulator is able to affect through rice selection only the rovision of quality; in articular, for values of γ sufficiently low, setting the rice aequately the regulator can achieve the socially otimal quality rovision. Introucing cometition for octors generates a fiercer egree of cometition comare to the one escribe in revious contributions that justifies hositals location ecision: no matter the rice selecte an for any combination of arameters, hositals ecie to maximally ifferentiate their services, as shown in roosition. When atients value relatively strongly the number of octors emloye in a hosital, i.e. high γ, the regulator can not inirectly regulate quality to its socially otimal value without the hositals earning negative rofits in equilibrium. The rice that woul ensure a socially otimal level of quality woul be so high that hositals woul comete more fiercely for octors to attract atients increasing salaries an quality (esecially for high ϑ ). It follows that for γ t + t the regulator can only choose the rice that inuces hositals to earn rofits equal to zero, with equilibrium quality excessive or insufficient from a social oint of view. Let us now briefly consier the case in which the regulator can commit to a rice only after the two hositals have chosen locations (artial commitment). 15
16 Corollary 1 Uner artial commitment hositals maximally ifferentiate their services an the equilibrium level of quality coincies with the socially otimal one if (a) γ > t an ˆ ˆ or (b) 0 < γ t an ˆ ˆ, where ˆ t, t 1 t ˆ t ( ϑ ) + + γϑ an ( ( )) ( ( ) ) ( ) ( ) ˆ t k t γ ϑ + t kt t + γ t k γ t + ϑ > 0. Otherwise, the regulator can at most select a rice that ensures zero rofits imlying that secializations an quality can be excessive or insufficient comare to the social otimum. Proof See Aenix 3. Hosital cometition with uninforme atients This section stuies the case in which atients have not comlete information regaring the characteristics of their illness (i.e. the location on the segment) nor hosital characteristics. In articular, atients know only that they nee hosital service an the istribution of the isease, say Z = F ( z ). To obtain information atients can go to a general ractitioner, GP, who instea is erfectly informe 3. We assume that ractitioners truthfully inform atients. Let us suose that a ortion λ ( 0,1] of atients visit a GP; consequently, a ortion ( 1 λ ) of atients is not informe. Let us assume that such an uninforme ortion of atients inelastically emans one unit of care with robability equal to 1/ from either hosital. Following (K. Brekke et al., 006), we assume cost heterogeneity with resect to 3 In Brekke et al (006) GPs iagnosis is assume not to be erfectly accurate. 16
17 GP consultations. Let r [ 0,1] be the GP cost tye of a atient an let r be uniformly istribute on the line. The cost to visit a GP is equal to ar where a > 0. The timing of the game with strict gatekeeing (i.e. λ = 1) as been escribe in section 1. If instea we introuce the ossibility that atients are free to choose whether to visit a GP (at a cost), i.e. inirect gatekeeing, we have to moify the first stage of the game not allowing the regulator to set λ, an introuce an aitional stage just after quality an salary choice in orer to let the atients to efine enogenously λ. By the metho of backwar inuction, let us first stuy the game uner strict gatekeeing, analysing atients an octors hosital choice an hositals quality an salary cometition, for given, λ an secializations x i, i = 1,. For those atients who visit a ractitioner an for octors the utility is again given resectively by (1) an (); the marginal agents inifferent to chose either hositals are again locate at z an y, resectively given by (4) an (5). The eman of treatment for hosital one will be now given by: n = λz + n 1 = 1 n 1 ( 1 λ ) (14) Hositals share the market again as shown in (6). Proosition 4 escribes the equilibrium at the final stage of the game. Proosition 4 Assume that a ortion λ ( 0,1] is informe an Assumtions 1 an hol. Assume in aition that there exist maximum feasible levels of quality an salary given by q an w. 17
18 Then the equilibrium level of salary an quality rovie at the final stage of the game in equilibrium are given by: t ϑ + λ q = min, q kt γλ w = min t, w t 1 γλ Π = + t t 4kt ( t ) ϑ + λ (15) if tt > =, or λ γλ ( + ) t γϑ λ q = min, q ktt w = 0 1 t Π = 4 ( + γϑ ) λ 4 kt t (16) if otherwise. Proof See Aenix. Easy comarative static exercises show that if > : q q q q q q q q > 0 > 0 < 0 = 0 = 0 > 0 < 0 < 0 λ t t γ ϑ k w w w w w w w w > 0 > 0 < 0 < 0 > 0 = 0 < 0 = 0 λ t t γ ϑ k (17) If 0 < : 18
19 q q q q q q q q > 0 > 0 < 0 < 0 > 0 > 0 < 0 < 0 λ t t γ ϑ k (18) Changes in the arameters resent qualitatively the same effects we have escribe for the case λ = 1 in section two. Now, however, there is an aitional arameter, λ, escribing the egree of information of atients. When λ increases, clearly the egree of cometition for atients increases as well, forcing hositals to choose in equilibrium higher quality an salary (for > ). Given quality an salary escribe in roosition 4, hositals in stage two choose their secialization. Proosition 5 escribes hositals secialization ecision when only a ortion λ > 0 of atients is informe. Proosition 5 For any given > 0 an 0 < λ 1, execting ay-offs given either by (15) or (16), holing Assumtions 1 an, both hositals location best resonse is to locate at the extremes of the unitary segment, i.e. = 1. Proof See Aenix In contrast to what has been showe by (K. Brekke et al., 006), hositals have a clear an ominant incentive to maximally ifferentiate their service in orer to soften cometition. Since 0 < λ 1, cometition now coul be miler than the one escribe in the revious section. However, since they have to comete for octors as well as atients, 19
20 hositals always maximally ifferentiate. We can now move to the first stage of the game in which a benevolent regulator sets the rice of the treatment,, an can imose a regime of strict gatekeeing, i.e. λ = 1, in orer to maximize the welfare function. Given the assumtion of the moel, the welfare function is: W γ = + q + ϑq kq TC TC GP (19) where TC reresents octors mismatch costs given by: TC ( 1 ) t t =. (0) 1 4 TC reresents instea atients mismatch costs an it is given by the weighte sum of the mismatch costs of informe an uninforme atients: t t t TC = ( 1 λ ) ( 1+ 3 ) + λ ( 1 ) (1) Finally, GP reresents the cost incurre by the λ ortion of atients who ecie to visit a GP: aλ GP = () The regulator s objective function is therefore given by: γ t 1 t W ( ϑ ) q kq ( λ ) aλ 1 1 ( ) ( ( )) = (3) As ointe out alreay by (K. Brekke et al., 006) assuming that hositals o not comete for octors, the λ that maximizes welfare is ientical to the one that maximizes the atients benefit to visit a GP net of the costs, i.e. social an rivate incentives to GP 0
21 t attenance coincie an λ =. Inee, if atients were free to ecie whether to visit a 4a GP or the regulator were able to set any λ ( 0,1], for a given rice, the equilibrium of the game woul be given therefore by: if >, or by: otherwise. λ ( ) = ( ) q ( ) w λ ( ) = ( ) q ( ) w t = 4a 1 + 4aϑ = 8ka γ = t 4a t = 4a 1 = = 0 ( + γϑ ) t 8kat (4) (5) Proosition 6 escribes the comarative static roerties of the secialization-qualityconsultation equilibrium. It coul be irectly comare to Proosition in (K. Brekke et al., 006). Proosition 6 The secialization-quality-consultation equilibrium resents the following comarative static roerties: 1
22 (i) if >, GP attenance is increasing in atients mismatch costs an ecreasing in GP consultation costs; quality is increasing in the treatment rice an the benefit that octors receive from hosital quality, ϑ, an ecreasing in the quality cost k an GP consultation costs; (ii) if 0 <, GP attenance is still escribe as in (i). However, an aitional negative effect is generate to equilibrium quality rovision if the octors mismatch costs increases; (iii) salary is increasing in treatment rice, he benefit that octors receive from hosital quality, ϑ, an ecreasing in the quality cost k, GP consultation costs an octors mismatch costs. While the escrition of equilibrium salary is quite intuitive, there are some clear ifferences between the results escribe in roosition 5 an those reorte in roosition in (K. Brekke et al., 006) an all of them are generate by the maximal ifferentiation result escribe in roosition 4 above. For examle, in (K. Brekke et al., 006) an increase in k, woul ecrease equilibrium quality rovision an consequently hositals incentive to ifferentiate; in turn, a ecrease in woul ecrease the benefits of consulting a GP, having a negative effect on λ. With a similar reasoning (K. Brekke et al., 006) exlain the ositive relationshi between λ an the rice or atients mismatch costs. However, since in our moel = 1 regarless the regulate rice an GP attenance, in equilibrium λ is not affecte by atients mismatch costs, quality costs nor treatment rice. Regaring equilibrium quality rovision, our results are in line with the literature. In aition, there is one more arameter that affect quality rovision: an increase in ϑ has a
23 irect ositive effect on quality rovision. When is sufficiently small, also octors mismatch costs have a (negative) effect on quality: if octors mismatch costs ecreases cometition for octors is fiercer an hositals have force to rovie higher quality. For a given rice, quality exresse in (4) an (5) are not necessarily otimal an if the regulator can at most imose a strict gatekeeing system, i.e. λ = 1, we have to consier when, for quality given by (15) or (16) an for = 1, the first erivative of the welfare function with resect to λ is non negative, imosing λ = 1. Such a erivative is given by: λ 1 ( ) W t + kt t 4a = λ = 4kt (6) if >, or ( 4 ) ( 1 ϑ )( γϑ ) ( γϑ ) W kt t t a + tt + t + t + λ = λ 1 = 4kt t (7) otherwise. Whether λ = 1 is a socially otimal strategy eens on the arameters of the moel (rice for the moment is assume to be exogenous). In articular, for a rice an GP consulting cost a sufficiently low an for octors mismatch costs t. Let us now introuce the ossibility that the regulator can set the rice to maximize W. Given the fact that the rivate incentive to visit a GP is equal to the socially otimal one, the regulator has only to set an let atients free to ecie whether to visit a GP. In other wors, as alreay argue by (K. Brekke et al., 006), it is not necessary to set u a strict 3
24 gatekeeing system if the regulator can set the treatment rice in orer to maximize welfare. Proosition 7 escribes the equilibrium of the game. Proosition 7 If Assumtion 1 hols, t ( ) γ > an a sufficiently large, i.e. ( γ ) ( ϑ) in equilibrium the regulator chooses a rice, a ( ) rovision of quality. If instea ( γ ) ( ϑ ) that hositals o not earn negative rofits, choose the rice: a 4k t k, = = 4 that ensures the otimal 0 < a < 4k t k the regulator, to ensures ( γ ) ϑ ( ( γ )( γ ϑ )) = 8ka 4a 4a + 8a k t + 4a 4ka k > 0 an quality rovision can excessive or insufficient from a social oint of view. If 0 < γ t an a is sufficiently high, i.e. a ( 1 + ϑ )( t + γϑ ) /16kt, in equilibrium the regulator again chooses a rice, 4at ( 1 ϑ ) / ( t γϑ ) rovision of quality. If instea ( )( ) hositals o not earn negative rofits, choose the rice: ( ) 64 / 0 = = + + that ensures the otimal 0 < a < 1 + ϑ t + γϑ /16kt the regulator, to ensures that = kt a t + γϑ > an quality rovision can excessive or insufficient from a social oint of view. For any combination of arameters the equilibrium level of horizontal ifferentiation is maximal an therefore excessive comare to the social otimum. Proof See Aenix. Results escribe in the revious section hol also for this version of the moel with imerfect information. The regulator can choose one variable, the rice, an consequently can at most affect the rovision of quality to the socially otimal level. In contrast with revious literature, the level of horizontal ifferentiation in the hosital market will always 4
25 be maximal, since now hositals comete simultaneously for atients (through quality an number of octors emloye) an for octors (through salaries). 4. Conclusions The aer stuie the cometition between two ientical hositals in a two-sie market comose on one sie by atients who require hosital treatment an on the other sie by octors who obtain ositive utility from working in a hosital. Assuming that both atients an octors resent a continuum of references with resect to the isease sace (the unit segment), hositals comete simultaneously for both grous of agents selecting the secialization first, the quality of the service an the salary for the octors then. The rice of the hosital treatment is centrally set by a benevolent regulator (a similar system can correson to the DRG-ricing system), an, if atients are not informe, a strict gatekeeing system can be set. In contrast to what has been emonstrate in relevant revious literature, the aer shows that for any ositive rice selecte by the regulator an for any level of information among atients, hositals maximally ifferentiate their services. Introucing salary cometition for octors increases the level of cometition between hositals an in turn justifies a centrifugal force in the market that generates a level of rouct ifferentiation always excessive comare to the social otimum. The regulator, however, can still inirectly affect the quality rovision that, when atients exerience sufficiently low cross-grou externalities with resect to octors emloye in a hosital, in equilibrium coincies with the socially otimal one. 5
26 Aenix Proof of Proosition 1 Substituting exressions (7) into (3), the rofits for hosital i, i = 1,, j = 1, i : Π = i ( ( i j + ) + γ ( i j + ϑ ( i j ))) i + i i j + + ϑ ( i j ) ( ( )) t q q t w w q q t kq t w w w t q q t t Secon orer conitions, SOCs, for rofit maximization are given by Πi/ wi = 1/ t, Det ( H ) ( 4 kt ϑ )/( 4t ) i i (8) Π / q = k, = +, where H is the Hessian matrix of the rofit function, an are satisfie if 4 >, that is true given the Assumtion 1. kt ϑ First orer conitions, Focs, are given by: ( + γϑ ) t ( kqt + w ϑ) Π t i = = 0 q i i i tt ( ) Π γ + t w i j wi t qiϑ + qjϑ = 0 = w t t i (9) Solving simultaneously the Focs, the caniate subgame symmetric (i.e. q1 = q = q an w1 = w = w ) equilibrium is escribe by (8). The salary in (8), for a range of rices sufficiently low, i.e. 0 <, coul be negative. In such a case, since we are imosing that hositals can not select a negative salary, hositals set a salary equal to zero an the caniate equilibrium in (9) follows. To rove that the quality an the wage in (8) an (9) are inee an equilibrium, we have to rove that no hosital has the incentive to unercut the cometitor on either sie of the market. Let us consier first the atients sie of the market. To treat all atients, either of the two hositals, say hosital 1, has to choose a combination of quality an wages such that even the atient locate at the oosite extreme of the segment is willing to be treate by the unercutting eviating hosital. Hosital 1 has therefore to choose: 6
27 ( 1 ) ( 1 ) γ ( 1 ) U x U x q q + t + n (30) where n 1 is given by (7). The eviating hosital has no incentive to choose a quality higher than the one exresse in (30). Suose >, substituting the exression of quality given by (30) into (7) an (3), an imosing that the quality an salary chosen by hosital are given by (8) first, we obtain hosital 1 s rofits as a function of the wage w 1. Such rofits are maximize for w 1 ( ( )) ( ) ( ) t ( t + γ ( kγ + ϑ )) ( ) kγ γ + t t t γ t + γϑ t t + t ϑ γ = (31) Substituting the wage given by (31) into (30), we have that the require quality to unercut is given by: q 1 ( γ ) 1 ϑ t t k = + t + + kt k t + γ ( kγ + ϑ ) (3) The rofits of eviation for hosital 1 are therefore given by: ( ( ) )( ) ( ( ) ) 1 t + kt γ t + γϑ 4kt ϑ k t ˆ γ + ϑ Π 1 = 8k t + γ ( kγ + ϑ ) t t (33) an they are less than the rofits given by (8). Let us now consier the case 0 < an substitute the exression of quality given by (30) into (7) an (3), an imose that the quality an salary chosen by hosital are given by (9). Following the revious reasoning, 7
28 we can show that the rofits of eviation are less than the rofits given by (9) as long as k k 1 ( γ ϑ ( ( ) ) ) γϑ γϑ ϑ an t t t ( t ) > / + / / /3 > 0, as assume in Assumtions 1 an. Since hosital is erfectly symmetric, no hosital has incentive to unercut the cometitor on the atients sie of the market. We have now to rove that the same is true for the octors sie too. In orer to attract all octors in the market the eviating hosital, say again hosital 1, has to offer a combination of salary an quality such that: ( 1 ) ( 1 ) U x U x w ϑq + w + t ϑq (34) Hosital 1 clearly has no incentive to choose a salary higher than the one exresse in (34) with equality. If > an we substitute the salary given by (34) into (7) an (3), an imosing that the quality an salary chosen by hosital are given by (8), we obtain the rofits of the eviating hosital as a function of its quality, i.e. q 1. The quality that maximizes the eviating hosital s rofits is: q 1 = + t ϑ kt (35) an the unercutting salary follows from (34): w 1 γ ϑ = t k (36) Assumtion 1 ensures that the salary given in (36) is ositive an rofits generate from eviation are less than rofits given by (8). Similarly, if 0 < an hosital 1 eviates from equilibrium escribe in (9), it can not obtain higher rofits. Hosital s behaviour is erfectly symmetrical an that roves that no hosital has incentive to unercut the cometitor. Finally, in orer to rove that the exressions in (8) an (9) reresent inee an 8
29 equilibrium uner the assumtion of comlete information we nee to rove that no hosital has the incentive to leave the market for octors an to attract atients through quality rovision. In orer to leave the market for octors, the eviating hosital, say again hosital 1, has to choose a salary such that: If ( ) ( ) U x U x w < ϑq + w t ϑq (37) <, eviating from equilibrium escribe by (8), for ( ) even for a eviating quality q 1 = 0 < t 4 kt ϑ /( k γ + ϑ), hosital 1 shoul choose a negative to leave the octors sie of the market, but given that we are not allowing such a ossibility in the moel, that is not feasible. For t ( 4 kt ϑ )/kγ t ( 4 kt ϑ )/( kγ ϑ) > > +, there is a non emty subset of quality an salary for which the eviating hosital can not attract any octor; however, for such a range of the quality that woul maximize the rofits of eviation woul again involve a negative salary. Therefore, for in such a case hosital 1 can at most choose w 1 = 0 an the corresoning quality that woul ensure not to emloy any octor woul be given by ( ) q1 = kγ 4 kt t + ϑ + t ϑ /kt ϑ. It can be shown that the rofits that follow from such kin of eviation are less than those reorte in (8) as long as k > k1. The same is also true for higher if ( ) > t 4 kt ϑ / k γ, that involves a ositive salary of eviation. If 0 < an hosital 1 is eviating from the equilibrium escribe by (9) (accoring to the eviation conition (37)), the salary that woul ensure rofits maximization in eviation woul be negative given that k > k1, requiring the hosital to choose a salary equal to zero. It follows that the rofits of eviation are again less than rofits when salary an quality are given by 9
30 (9). Symmetry ensures that hosital is not willing to eviate either, concluing this roof. Q.E.D. Proof of Proosition Given ay-offs in (8) or (9), Socs are easily verifie. The first erivative of rofits with resect to locations is given resectively by: 1 3 ( γ ϑ ) 3 Π Π + ktt + t k + = = > 0 x x 4kt (38) if rofits are given by (8), or by: 1 ( + γϑ )( t + γϑ ) t Π Π = = > 0 x x 4kt t 5 (39) It follows that the two hositals locate at the extremes of the segment at stage two, i.e. = 1. Q.E.D. Proof of Proosition 3 Suose first that t + t > γ > t. Substituting the exression for quality given by (8) into the welfare function (1), imosing = 1 an maximizing 4 with resect to, we obtain t = >. The rice that maximize the welfare function (1) when quality is given by (9) woul be given by ( ( 1 ϑ ))/( γϑ ) t t t t + t > γ > t the = + + >. It follows that for best feasible rice the regulator can choose to ensure that the equilibrium quality an salary are given by (9) is. Since W ( ) W ( ) <, it follows that for t + t > γ > t the 4 Socs are always satisfie. 30
31 caniate otimum rice is. Profits are concave in an equal to zero for ( ) ( ) ( )( ) 1, = kt t γ ± t k t + t γ kt kγ ϑ t ϑ > 0, 1. If k k, as escribe in Assumtion 1, then, an rofits are greater than zero in 1 equilibrium. For extreme values of γ, = can not be an equilibrium. If γ > t + t, >, imlying negative rofits in equilibrium. Therefore the regulator can at most choose = with equilibrium rofits equal to zero. Finally, for 0 < γ < t, we have that < <, imlying that the best feasible rice for the regulator to imose the regime escribe in (8) is given by. Since W ( ) W ( ) <, it follows that for t > γ > 0 the caniate otimum rice is. Profits are again concave (now since woul inuce an equilibrium with salaries equal to zero, rofits are equal to zero for { 0,(4 kt /( ) ) t t t } = + ). ensures ositive rofits in equilibrium for k k3 as efine in Assumtion 1. Q.E.D Proof of Corollary 1 Stage 3 cometition rouces again the exression (8) an (9) in Proosition 1. In stage the regulator selects the rice to maximize the welfare function. The welfare function is given by substituting into (1) the quality exresse (8) if >, an the quality exresse in (9) if 0 <. If γ > t, the welfare function is maximize (an stage 3 continuation rouces the socially otimal level of quality) for ˆ t =. In stage 1 rofits are strictly concave in > 0 an equal to zero for 31
32 1, ( ( )) ( ( ) ) ( ) ( ) = ˆ t k t γ ϑ ± t kt t + γ t k γ t + ϑ > 0. It follows that the best strategy for the regulator when γ > t, is to choose min { ˆ, ˆ } =. In stage 1 hositals, if execting = ˆ, woul choose to maximally secialize their services; in fact, the two hositals have to choose secializations to maximize rofits: ( ( ) ) ( ) + γ + ϑ 4 k t t Π = 1 (40) 8k obtaining Π = t + t an = 1. Otherwise, execting zero rofits in stage 3, the secialization choice oes not matter anymore: there is a continuum of equilibria, eening on [ 0,1] from a social oint of view., where the equilibrium quality can be excessive or insufficient If instea 0 < γ t, the welfare function is maximize (an stage 3 continuation rouces the socially otimal level of quality) for t 1 t ˆ = t ( ϑ ) + + γϑ. It follows that the best strategy for the regulator when γ > t, is to choose = min { ˆ, ˆ } In stage 1 hositals, if execting = ˆ, woul choose to maximally secialize their services; in fact, the two hositals have to choose secializations to maximize rofits: Π = ( ) ( 1+ ) t ( 4kt 1) ( 1+ ) ϑ ϑ ϑ γϑ 8k t ( + γϑ ) (41) 3
33 an it follows that Π = t + t, imlying that the two hositals will locate at the extremes of the segment again. If instea ˆ ˆ <, execting zero rofits in stage 3, there is a continuum of equilibria, eening on [ 0,1], where the equilibrium quality can be excessive or insufficient from a social oint of view. Q.E.D. Proof of Proosition 4 Given that λ ( 0,1] an given Assumtions 1 an it can be easily shown (following the same roceure we use for roof of Proosition 1) that no hosital has the incentive to eviate from the equilibria escribe in Proosition 4 unercutting the cometitor on either sie of the market, nor leaving the octors sie of the market choosing a salary sufficiently low. However, given the ossibility that a ortion ( 1 λ ) of atients is not informe, another ossibility of eviation arises: hositals might ecie to serve only the uniforme ortion of atients an ay a salary equal to zero an rovie quality level equal to zero. If a hosital ecies to o so, it will earn rofits equal to: ( 1 λ ) Π ˆ = (4) Let us first suose that > an efine the ifference between the rofits given by (15) an those given by (4) as: φ (, λ ) ( ( λ ) γλ ) ( ϑ λ ) 4kt t t + t + = Π Π ˆ = 8kt (43) It can be easily verifie that φ (, λ) / < 0, φ ( 0, λ ) > 0, lim φ (, λ ) { } there is a limit rice, say ( ) st φ ( ) =. So ˆ = 0,..,1 = 0, such that for < ˆ then 33
34 φ (,1) 0. Given the monotonic relationshi between q an w with resect to an λ, a unique salary an quality level will correson to such limit rice ˆ. In articular, ( ( )) ( ) ( ) ( ) ˆ = t kt ϑ kγ + kt t + γ t k γ t + ϑ (well efine an { } larger than if Assumtions 1 an hol). Let us efine min ˆ [ 0,1] ɶ an q ( ɶ λ ) an w arg max Π ( = ɶ, λ = 1) arg max Π =, = 1 (given the assumtion of the moel, the corner solutions are symmetric). The uer bouns on quality an wages ensure that for rices higher than ˆ, hositals have no incentive to eviate an serve only uninforme atients. It can be easily verifie that eviation from the corner solution (in which hositals select q1 = q = q an w1 = w = w ) is not rofitable. If instea, 0 < the caniate equilibrium is given by (16). The eviation rofits are again given by (4) an the ifference with rofits given by (16) is now given by: ( + γϑ ) ˆ (, 1 ) 4 λ t φ λ = λ 4 8 ktt (44) ˆ, / 0 ˆ 0, 0 ˆ =. It can be easily verifie again that φ ( λ ) <, φ ( λ ) =, lim φ (, λ ) ˆ { } ˆ = 0,..,1 = 0, such that for So there is again a limit rice, say ( ) st φ ( ) ˆ then ˆ,1 0 ( ) ˆ = 4 kt t / t + γϑ > it follows that for 0 < hositals 4 φ. Since, ( ) ( ) have no incentive eviate from the equilibrium an serve only uninforme atients. 34
35 Proof of Proosition 5 For any give rice an λ hositals choose secializations x i, i = 1, to maximize rofits given by (15) or (16). The Socs are always satisfie an the Focs are given by: 1 ( ) Π Π kt t + t λ kγ + ϑ + λ = = < 0 x x kt (45) if >, or 1 ( + )( t + ) Π Π λ t γϑ γϑ = = < 0 x x 4kt 3 (46) if 0 <. It follows that hositals always maximally ifferentiate, regarless the rice chosen by the regulator or the number of atients that ecie to the visit a GP. Q.E.D. Proof of Proosition 7 Let us suose first that γ > t. Substituting the equilibrium values exresse in (4) into (3), we obtain the exression of welfare as a function (strictly concave) of rice, maximize (imlying otimal quality rovision) for = =, when in the final stage of 4a the game octors receive a ositive salary. If instea we substitute the equilibrium values exresse in (5) into (3), we obtain the exression of welfare as a function (strictly concave) of rice, maximize (imlying otimal quality rovision) for ( ϑ ) ( γϑ ) = = + +, when in the final stage of the game octors receive salary 4at 1 / t equal to zero. Given that γ > t, is not feasible, since ( ) equilibrium rice. If ( γ ) ( ϑ ) 0 a 4k t 1 16k < < + +, ( ) > an is the caniate Π < 0 an the regulator has to choose the rice that at least ensure non negative hosital rofits (not otimal quality rovision): ka ( a γ ) aϑ a k ( t ( a γ )( ka kγ ϑ )) = > 0. 35
36 If 0 < γ t, is not feasible, since < an < a < ( + ϑ )( t + γϑ ) kt, ( γ ) ( ϑ ) 0 1 /16 is the caniate equilibrium rice. If ( ) < < + +, ( ) 0 a 4k t 1 16k Π < 0 an the regulator has to choose the rice that at least ensure non negative hosital rofits (not otimal quality rovision): ( ) quality rovision choosing rices ( ( γ ) ( ϑ) ) a 4k t k or if 0 γ t = 64 kt a / t + γϑ > 0. The regulator can ensure otimal or resectively if t < an ( )( ) γ > an a 1 + ϑ t + γϑ /16kt.Q.E.D. References Armstrong, M. "Cometition in Two-Sie Markets." 005. Armstrong, M. an Wright, J. "Two-Sie Markets, Cometitive Bottlenecks an Exclusive Contracts." 004. Barey, D. an Rochet, J-C. "Cometition among Health Plans: A Two-Sie Market Aroach " 006. Barros, P.P. an Martinez-Giralt, X. "Public an Private Provision of Health Care." Journal of Economics an Management Strategy, 00, 11(1), Brekke, K.; Nuscheler, R. an Straume, O.R. "Gatekeeing in Health Care." Journal of Health Economics, 007, 6, "Quality an Location Choices uner Price Regulation." Journal of Economics an Management Strategy, 006, 15(1), Caillau, B. an Jullien, B. "Chicken an Egg: Cometition among Intermeiation Service Proviers." Ran Journal of Economics, 003, 34(),
37 Calem, P.S. an Rizzo, J.A. "Cometition an Secialization in the Hosital Inustry: An Alication of Hotelling's Location Moel." Southern economic Journal, 1995, 61, Economies, N. "Hotelling's "Main Street" With More Than Two Cometitiors." Journal of Regional Science, 1993, 33(3), "Quality Variations an Maximal Variety Differentiation " Regional Science an Urban Economics, 1989, 19, Gravelle, H. "Caitation Contracts: Access an Quality." Journal of Health Economics, 1999, 18( ). Gravelle, H. an Masiero, G.. "Quality Incentives in a Regulate Market with Imerfect Information an Switching Costs: Caitation in General Practice." Journal of Health Economics, 000, 19, Hotelling, H. "Stability in Cometition." The Economic Journal, 199, 39(153), Nuscheler, R. "Physician Reimbursement, Time-Consistency an the Quality of Care." Journal of Institutional an Theoretical Economics, 003, 159, Rochet, J-C. an Tirole, J. "Platform Cometition in Two-Sie Markets." Journal of the Euroean Economic Association, 003, 1(4), Salo, S.C. "Monoolistic Cometition with Outsie Goos." The Bell Journal of Economics, 1979, 10(1),
Hotelling's Location Model with Quality Choice in Mixed Duopoly. Abstract
Hotelling's Location Model with Quality Choice in Mixed Duopoly Yasuo Sanjo Graduate School of Economics, Nagoya University Abstract We investigate a mixed duopoly market by introducing quality choice
More informationLenny Jones Department of Mathematics, Shippensburg University, Shippensburg, Pennsylvania Daniel White
#A10 INTEGERS 1A (01): John Selfrige Memorial Issue SIERPIŃSKI NUMBERS IN IMAGINARY QUADRATIC FIELDS Lenny Jones Deartment of Mathematics, Shiensburg University, Shiensburg, Pennsylvania lkjone@shi.eu
More informationThe Effect of a Finite Measurement Volume on Power Spectra from a Burst Type LDA
The Effect of a Finite Measurement Volume on Power Sectra from a Burst Tye LDA Preben Buchhave 1,*, Clara M. Velte, an William K. George 3 1. Intarsia Otics, Birkerø, Denmark. Technical University of Denmark,
More informationTheory 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 informationColin Cameron: Brief Asymptotic Theory for 240A
Colin Cameron: Brief Asymtotic Theory for 240A For 240A we o not go in to great etail. Key OLS results are in Section an 4. The theorems cite in sections 2 an 3 are those from Aenix A of Cameron an Trivei
More informationEconomics 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 informationUniversity of Bath DEPARTMENT OF ECONOMICS COURSEWORK TEST 1: SUGGESSTED SOLUTIONS
University of Bath DEPARTMENT OF ECONOMICS COURSEWORK TEST 1: SUGGESSTED SOLUTIONS First Year INTRODUCTORY MICROECONOMICS (ES10001) 3 RD NOVEMBER 2017, 17:30 18.45 (75 minutes) ANSWER ALL QUESTIONS The
More informationHandout #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 informationLecture 6 : Dimensionality Reduction
CPS290: Algorithmic Founations of Data Science February 3, 207 Lecture 6 : Dimensionality Reuction Lecturer: Kamesh Munagala Scribe: Kamesh Munagala In this lecture, we will consier the roblem of maing
More informationInternational 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 informationColin Cameron: Asymptotic Theory for OLS
Colin Cameron: Asymtotic Theory for OLS. OLS Estimator Proerties an Samling Schemes.. A Roama Consier the OLS moel with just one regressor y i = βx i + u i. The OLS estimator b β = ³ P P i= x iy i canbewrittenas
More informationSkiba without unstable equlibrium in a linear quadratic framework
Skiba without unstable equlibrium in a linear quaratic framework Richar F. Hartl Institute of Management, University of Vienna, Brünnerstraße 8, -0 Vienna, ustria Richar.Hartl@univie.ac.at Tel. +43--477-3809
More informationConsistency and asymptotic normality
Consistency an asymtotic normality Class notes for Econ 842 Robert e Jong March 2006 1 Stochastic convergence The asymtotic theory of minimization estimators relies on various theorems from mathematical
More informationBivariate distributions characterized by one family of conditionals and conditional percentile or mode functions
Journal of Multivariate Analysis 99 2008) 1383 1392 www.elsevier.com/locate/jmva Bivariate istributions characterize by one family of conitionals an conitional ercentile or moe functions Barry C. Arnol
More informationEcon 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 informationCOMMUNICATION 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 informationPROFIT 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 informationON THE AVERAGE NUMBER OF DIVISORS OF REDUCIBLE QUADRATIC POLYNOMIALS
ON THE AVERAGE NUMBER OF DIVISORS OF REDUCIBLE QUADRATIC POLYNOMIALS KOSTADINKA LAPKOVA Abstract. We give an asymtotic formula for the ivisor sum c
More informationOnline Appendix for Trade Policy under Monopolistic Competition with Firm Selection
Online Appenix for Trae Policy uner Monopolistic Competition with Firm Selection Kyle Bagwell Stanfor University an NBER Seung Hoon Lee Georgia Institute of Technology September 6, 2018 In this Online
More information4. 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 informationA method of constructing the half-rate QC-LDPC codes with linear encoder, maximum column weight three and inevitable girth 26
Communications 20; 2(): 22-4 Publishe online January 1 2015 (htt://www.scienceublishinggrou.com/j/com) oi: 10.11648/j.com.20020.11 ISSN: 228-5966 (Print); ISSN: 228-592 (Online) A metho of constructing
More informationSIGNALING 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 information2x2x2 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 informationTrading 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 information7. Introduction to Large Sample Theory
7. Introuction to Large Samle Theory Hayashi. 88-97/109-133 Avance Econometrics I, Autumn 2010, Large-Samle Theory 1 Introuction We looke at finite-samle roerties of the OLS estimator an its associate
More informationConvergence Analysis of Terminal ILC in the z Domain
25 American Control Conference June 8-, 25 Portlan, OR, USA WeA63 Convergence Analysis of erminal LC in the Domain Guy Gauthier, an Benoit Boulet, Member, EEE Abstract his aer shows how we can aly -transform
More informationLearning Markov Graphs Up To Edit Distance
Learning Markov Grahs U To Eit Distance Abhik Das, Praneeth Netraalli, Sujay Sanghavi an Sriram Vishwanath Deartment of ECE, The University of Texas at Austin, USA Abstract This aer resents a rate istortion
More informationApplication of Measurement System R&R Analysis in Ultrasonic Testing
17th Worl Conference on Nonestructive Testing, 5-8 Oct 8, Shanghai, China Alication of Measurement System & Analysis in Ultrasonic Testing iao-hai ZHANG, Bing-ya CHEN, Yi ZHU Deartment of Testing an Control
More informationTime-of-Arrival Estimation in Non-Line-Of-Sight Environments
2 Conference on Information Sciences an Systems, The Johns Hopkins University, March 2, 2 Time-of-Arrival Estimation in Non-Line-Of-Sight Environments Sinan Gezici, Hisashi Kobayashi an H. Vincent Poor
More informationSolutions 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 informationComputing Exact Confidence Coefficients of Simultaneous Confidence Intervals for Multinomial Proportions and their Functions
Working Paper 2013:5 Department of Statistics Computing Exact Confience Coefficients of Simultaneous Confience Intervals for Multinomial Proportions an their Functions Shaobo Jin Working Paper 2013:5
More informationCapacity Allocation. Outline Two-class allocation Multiple-class allocation Demand dependence Bid prices. Based on Phillips (2005) Chapter 7.
Caacity Allocation utallas.eu/~metin Page Outline Two-class allocation Multile-class allocation Deman eenence Bi rices Base on Phillis (2005) Chater 7 Booking Limits or 2 Fare Classes utallas.eu/~metin
More informationNet 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 informationRobust Control of Robot Manipulators Using Difference Equations as Universal Approximator
Proceeings of the 5 th International Conference of Control, Dynamic Systems, an Robotics (CDSR'18) Niagara Falls, Canaa June 7 9, 218 Paer No. 139 DOI: 1.11159/csr18.139 Robust Control of Robot Maniulators
More informationFinal Exam Study Guide and Practice Problems Solutions
Final Exam Stuy Guie an Practice Problems Solutions Note: These problems are just some of the types of problems that might appear on the exam. However, to fully prepare for the exam, in aition to making
More informationConsistency and asymptotic normality
Consistency an ymtotic normality Cls notes for Econ 842 Robert e Jong Aril 2007 1 Stochtic convergence The ymtotic theory of minimization estimators relies on various theorems from mathematical statistics.
More informationMod p 3 analogues of theorems of Gauss and Jacobi on binomial coefficients
ACTA ARITHMETICA 2.2 (200 Mo 3 analogues of theorems of Gauss an Jacobi on binomial coefficients by John B. Cosgrave (Dublin an Karl Dilcher (Halifax. Introuction. One of the most remarkable congruences
More informationPrep 1. Oregon State University PH 213 Spring Term Suggested finish date: Monday, April 9
Oregon State University PH 213 Spring Term 2018 Prep 1 Suggeste finish ate: Monay, April 9 The formats (type, length, scope) of these Prep problems have been purposely create to closely parallel those
More informationVoting and Lobbying - 3 Models
Voting and obbying - 3 Models Series of 3 aers eloring the effects of olitical actions on market outcomes. Current theories of regulation unsatisfying (to me!: Toulouse School: Agency Model regulators
More informationSymmetric 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 informationMANAGEMENT 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 informationMicroeconomics Fall 2017 Problem set 1: Possible answers
Microeconomics Fall 07 Problem set Possible answers Each answer resents only one way of solving the roblem. Other right answers are ossible and welcome. Exercise For each of the following roerties, draw
More informationDo Lawyers Work for Clients? Using Timing of Dropped Disputes to Estimate Incentive Misalignment
Do Lawyers Work for Clients? Using Timing of Droe Disutes to Estimate Incentive Misalignment Yasutora Watanabe Northwestern University January 2007 (Very Preliminary an Incomlete) Abstract I emirically
More informationOnline 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 informationCentralized decision making against informed lobbying
Centralized decision making against informed lobbying Rafael Costa Lima Humberto Moreira Thierry Verdier USP FGV PSE March 9, 01 Abstract We re-address the trade-off between centralized and decentralized
More informationLecture 6: Calculus. In Song Kim. September 7, 2011
Lecture 6: Calculus In Song Kim September 7, 20 Introuction to Differential Calculus In our previous lecture we came up with several ways to analyze functions. We saw previously that the slope of a linear
More information5. THERMAL CONVERSION OF SOLAR RADIATION. Content
5. Introuction 5. THEMAL CONVESION OF SOLA ADIATION Content 5. Introuction 5. Collectors without concentration 5.. Otical efficiency of the flat collector 5.. Thermal efficiency of the flat collector 5..3
More informationBalancing Expected and Worst-Case Utility in Contracting Models with Asymmetric Information and Pooling
Balancing Expecte an Worst-Case Utility in Contracting Moels with Asymmetric Information an Pooling R.B.O. erkkamp & W. van en Heuvel & A.P.M. Wagelmans Econometric Institute Report EI2018-01 9th January
More informationFlirting 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 informationOptimal Spatial Reuse in Poisson Multi-hop Networks
Otimal Satial Reuse in Poisson Multi-ho Networks Kostas Stamatiou an Martin Haenggi Deartment of Electrical Engineering University of Notre Dame, Notre Dame, IN 46556 {kstamati,mhaenggi}@n.eu Abstract
More informationk- price auctions and Combination-auctions
k- rice auctions and Combination-auctions Martin Mihelich Yan Shu Walnut Algorithms March 6, 219 arxiv:181.3494v3 [q-fin.mf] 5 Mar 219 Abstract We rovide for the first time an exact analytical solution
More informationSubmitted to the Journal of Hydraulic Engineering, ASCE, January, 2006 NOTE ON THE ANALYSIS OF PLUNGING OF DENSITY FLOWS
Submitte to the Journal of Hyraulic Engineering, ASCE, January, 006 NOTE ON THE ANALYSIS OF PLUNGING OF DENSITY FLOWS Gary Parker 1, Member, ASCE an Horacio Toniolo ABSTRACT This note is evote to the correction
More informationProbabilistic Learning
Statistical Machine Learning Notes 11 Instructor: Justin Domke Probabilistic Learning Contents 1 Introuction 2 2 Maximum Likelihoo 2 3 Examles of Maximum Likelihoo 3 3.1 Binomial......................................
More informationA Simple Exchange Economy with Complex Dynamics
FH-Kiel Universitf Alie Sciences Prof. Dr. Anreas Thiemer, 00 e-mail: anreas.thiemer@fh-kiel.e A Simle Exchange Economy with Comlex Dynamics (Revision: Aril 00) Summary: Mukherji (999) shows that a stanar
More informationA Social Welfare Optimal Sequential Allocation Procedure
A Social Welfare Otimal Sequential Allocation Procedure Thomas Kalinowsi Universität Rostoc, Germany Nina Narodytsa and Toby Walsh NICTA and UNSW, Australia May 2, 201 Abstract We consider a simle sequential
More informationTHE ZEROS OF A QUADRATIC FORM AT SQUARE-FREE POINTS
THE ZEROS OF A QUADRATIC FORM AT SQUARE-FREE POINTS R. C. BAKER Abstract. Let F(x 1,..., x n be a nonsingular inefinite quaratic form, n = 3 or 4. Results are obtaine on the number of solutions of F(x
More informationProbabilistic Learning
Statistical Machine Learning Notes 10 Instructor: Justin Domke Probabilistic Learning Contents 1 Introuction 2 2 Maximum Likelihoo 2 3 Examles of Maximum Likelihoo 3 3.1 Binomial......................................
More information4. 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 informationStability of steady states in kinetic Fokker-Planck equations for Bosons and Fermions
www.oeaw.ac.at Stability of steay states in kinetic Fokker-Planck equations for Bosons an Fermions L. Neumann, C. Sarber RICAM-Reort 2006-34 www.ricam.oeaw.ac.at STABILITY OF STEADY STATES IN KINETIC FOKKER-PLANCK
More informationSequential Choice of Sharing Rules in Collective Contests
Sequential Choice of Sharing Rules in Collective Contests Pau Balart Sabine Flamand Oliver Gürtler Orestis Troumounis February 26, 2017 Abstract Grous cometing for a rize need to determine how to distribute
More informationOn a Markov Game with Incomplete Information
On a Markov Game with Incomlete Information Johannes Hörner, Dinah Rosenberg y, Eilon Solan z and Nicolas Vieille x{ January 24, 26 Abstract We consider an examle of a Markov game with lack of information
More informationOnline Appendix to Accompany AComparisonof Traditional and Open-Access Appointment Scheduling Policies
Online Aendix to Accomany AComarisonof Traditional and Oen-Access Aointment Scheduling Policies Lawrence W. Robinson Johnson Graduate School of Management Cornell University Ithaca, NY 14853-6201 lwr2@cornell.edu
More informationA Characterization of Optimal Feasible Tax Mechanism
A Characterization of Otimal Feasible Tax Mechanism Byungchae Rhee Deartment of Economics Pennsylvania State University May, 24 Abstract In this aer, we study the following question: For a ublic good economy
More informationAM 221: Advanced Optimization Spring Prof. Yaron Singer Lecture 6 February 12th, 2014
AM 221: Advanced Otimization Sring 2014 Prof. Yaron Singer Lecture 6 February 12th, 2014 1 Overview In our revious lecture we exlored the concet of duality which is the cornerstone of Otimization Theory.
More informationHong Xu. School of Business and Management, Hong Kong University of Science and Technology, Clearwater Bay, Kowloon, HONG KONG
RESEARCH ARTICLE IDETITY MAAGEMET AD TRADABLE REPUTATIO Hong Xu Scoo of Business an Management, Hong Kong University of Science an Tecnoogy, Cearater Bay, Kooon, HOG KOG {xu@ust.} Jianqing Cen Jina Scoo
More informationDigitally delicate primes
Digitally elicate rimes Jackson Hoer Paul Pollack Deartment of Mathematics University of Georgia Athens, Georgia 30602 Tao has shown that in any fixe base, a ositive roortion of rime numbers cannot have
More informationBy completing this chapter, the reader will be able to:
hater 4. Mechanics of Particles Particle mechanics governs many rinciles of article measurement instrumentation an air cleaning technologies. Therefore, this chater rovies the funamentals of article mechanics.
More informationConvergence of random variables, and the Borel-Cantelli lemmas
Stat 205A Setember, 12, 2002 Convergence of ranom variables, an the Borel-Cantelli lemmas Lecturer: James W. Pitman Scribes: Jin Kim (jin@eecs) 1 Convergence of ranom variables Recall that, given a sequence
More information1 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 informationEquilibrium in Queues Under Unknown Service Times and Service Value
University of Pennsylvania ScholarlyCommons Finance Papers Wharton Faculty Research 1-2014 Equilibrium in Queues Uner Unknown Service Times an Service Value Laurens Debo Senthil K. Veeraraghavan University
More informationTransmission 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 informationMINIMAL MAHLER MEASURE IN REAL QUADRATIC FIELDS. 1. Introduction
INIAL AHLER EASURE IN REAL QUADRATIC FIELDS TODD COCHRANE, R.. S. DISSANAYAKE, NICHOLAS DONOHOUE,. I.. ISHAK, VINCENT PIGNO, CHRIS PINNER, AND CRAIG SPENCER Abstract. We consier uer an lower bouns on the
More informationMATH 205 Practice Final Exam Name:
MATH 205 Practice Final Eam Name:. (2 points) Consier the function g() = e. (a) (5 points) Ientify the zeroes, vertical asymptotes, an long-term behavior on both sies of this function. Clearly label which
More informationarxiv: v1 [math.pr] 28 Jan 2018
Submitte to the Annals of Probability WAVELET ANALYSIS OF THE BESOV REGULARITY OF LÉVY WHITE NOISES arxiv:80.09245v [math.pr] 28 Jan 208 By Shayan Azizneja, Julien Fageot an Michael Unser Ecole olytechnique
More informationNOTES. The Primes that Euclid Forgot
NOTES Eite by Sergei Tabachnikov The Primes that Eucli Forgot Paul Pollack an Enrique Treviño Abstract. Let q 2. Suosing that we have efine q j for all ale j ale k, let q k+ be a rime factor of + Q k j
More informationLower Bounds for the Smoothed Number of Pareto optimal Solutions
Lower Bouns for the Smoothe Number of Pareto optimal Solutions Tobias Brunsch an Heiko Röglin Department of Computer Science, University of Bonn, Germany brunsch@cs.uni-bonn.e, heiko@roeglin.org Abstract.
More informationMonopoly Part III: Multiple Local Equilibria and Adaptive Search
FH-Kiel University of Applie Sciences Prof Dr Anreas Thiemer, 00 e-mail: anreasthiemer@fh-kiele Monopoly Part III: Multiple Local Equilibria an Aaptive Search Summary: The information about market eman
More informationSurvey Sampling. 1 Design-based Inference. Kosuke Imai Department of Politics, Princeton University. February 19, 2013
Survey Sampling Kosuke Imai Department of Politics, Princeton University February 19, 2013 Survey sampling is one of the most commonly use ata collection methos for social scientists. We begin by escribing
More informationMath 342 Partial Differential Equations «Viktor Grigoryan
Math 342 Partial Differential Equations «Viktor Grigoryan 6 Wave equation: solution In this lecture we will solve the wave equation on the entire real line x R. This correspons to a string of infinite
More informationSpring 2016 Network Science
Spring 206 Network Science Sample Problems for Quiz I Problem [The Application of An one-imensional Poisson Process] Suppose that the number of typographical errors in a new text is Poisson istribute with
More informationOn Isoperimetric Functions of Probability Measures Having Log-Concave Densities with Respect to the Standard Normal Law
On Isoerimetric Functions of Probability Measures Having Log-Concave Densities with Resect to the Standard Normal Law Sergey G. Bobkov Abstract Isoerimetric inequalities are discussed for one-dimensional
More informationMark Scheme (Results) Summer 2008
Mark (Results) Summer 8 GCE GCE Mathematics (7/) Mark Eecel Limite. Registere in Englan an Wales No. 97 Registere Office: One9 High Holborn, Lonon WCV 7BH 7 Further Pure FP Mark Question. cos. (.8 ) Ma
More information(a) The isoquants for each of the three production functions are show below:
Problem Set 7: Solutions ECON 0: Intermediate Microeconomics Prof. Marek Weretka Problem (Production Functions) (a) The isoquants for each of the three roduction functions are show below: f(, ) = f (f
More informationLecture 2 Lagrangian formulation of classical mechanics Mechanics
Lecture Lagrangian formulation of classical mechanics 70.00 Mechanics Principle of stationary action MATH-GA To specify a motion uniquely in classical mechanics, it suffices to give, at some time t 0,
More informationINVESTIGATION OF THE DEISGN AND PERFORMANCE OF REPEATING SPACE TRACK CONSTELLATIONS
INVESTIGATION OF THE DEISGN AND PEFOMANCE OF EPEATING SPACE TACK CONSTELLATIONS Michelle K. Perez Avisor: Dr. Christoher Hall Virginia Polytechnic Institute an State University, Blacsburg, VA, 24060 Abstract
More informationBounds for the asymptotic normality of the maximum likelihood estimator using the Delta method
ALEA, Lat. Am. J. Probab. Math. Stat. 14, 153 171 2017 Bous for the asymtotic normality of the maximum likelihoo estimator using the Delta metho Areas Anastasiou a Christohe Ley Loon School of Economics,
More informationA 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 informationEstimation 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 informationTowards 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 informationarxiv: v1 [math.pr] 22 Jan 2018
Entroy Base Risk Measures arxiv:80.07220v [math.pr] 22 Jan 208 Alois Pichler Ruben Schlotter January 23, 208 Abstract Entroy is a measure of self-information which is use to quantify information losses.
More informationSchool 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 informationA Path Planning Method Using Cubic Spiral with Curvature Constraint
A Path Planning Metho Using Cubic Spiral with Curvature Constraint Tzu-Chen Liang an Jing-Sin Liu Institute of Information Science 0, Acaemia Sinica, Nankang, Taipei 5, Taiwan, R.O.C., Email: hartree@iis.sinica.eu.tw
More informationGeneralized Bessel functions for p-radial functions
Generalize Bessel functions for -raial functions Wolfgang zu Castell January 19, 6 Abstract: Suose that N an >. In this aer, we stuy the generalize Bessel functions for the surface {v R : v = 1}, introuce
More informationStatics 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 informationPartial Identification in Triangular Systems of Equations with Binary Dependent Variables
Partial Identification in Triangular Systems of Equations with Binary Deendent Variables Azeem M. Shaikh Deartment of Economics University of Chicago amshaikh@uchicago.edu Edward J. Vytlacil Deartment
More informationElementary Analysis in Q p
Elementary Analysis in Q Hannah Hutter, May Szedlák, Phili Wirth November 17, 2011 This reort follows very closely the book of Svetlana Katok 1. 1 Sequences and Series In this section we will see some
More informationCrowdsourced Judgement Elicitation with Endogenous Proficiency
Crowsource Jugement Elicitation with Enogenous Proficiency Anirban Dasgupta Arpita Ghosh Abstract Crowsourcing is now wiely use to replace jugement or evaluation by an expert authority with an aggregate
More informationOptimism, 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 informationThe thermal wind 1. v g
The thermal win The thermal win Introuction The geostrohic win is etermine by the graient of the isobars (on a horizontal surface) or isohyses (on a ressure surface). On a ressure surface the graient of
More informationOligopolistic 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