My dissertation within macroeconomics puts special emphasis on uncovering the effects of market power within product and labor markets. I conduct these studies using novel empirical techniques and detailed granular data sets at the firm- and household-levels.In the first chapter, coauthored with Shruti Mishra, we consider how firms’ price-setting decisions are affected by the properties of their markup. We start by designing a general oligopoly framework that accounts for firm heterogeneity, firm granularity, and the effects of market share distribution. We use this structural model to decompose the effect of price on the quantity demanded into a direct price effect and an indirect effect coming from the impact of the market-level aggregates, such as market-level price. This decomposition allows us to take care of all the degrees of heterogeneity in a flexible manner. Under plausible assumptions, the most crucial of which we test in the data, all the information about the distribution of shares within the market will be accounted for by the variation of the market aggregates. Under these conditions, we can estimate the structural parameters that do not depend on the distribution of shares within the market. We use the model to inform our empirical strategy and apply it to the ACNielsen Retail Scanner Data. We test the assumptions put forward by the theory, estimate structural parameters and then use the decomposition formulas to calculate the elasticity of the firm’s demand and other parameters important for the markup variation. We find that elasticity depends sharply on the firm’s market share and decreases significantly as market shares increase. There is a positive dependence of demand elasticities on relative prices (superelasticity), in line with Marshall’s second law of demand. Additionally, elasticity depends on the levels of competitiveness within the market. Even if a firm’s market share stays the same, its elasticity decreases if the market becomes less competitive. Lastly, we apply our estimates to calculate the optimal pass-through of marginal costs into prices and strategic complementarity. We find that an individual firm’s pass-through is contained between zero and one, but depends sharply on the firm’s market share. We find that strategic complementarity between two firms depends on both of their shares and is not symmetric so the degree of strategic complementarity between a small and a large firm, between two small firms, between two large firms, or between large and small firms would all be different. We then assess the non-linear effects of the marginal cost shock on the price and find that pass-through depends positively on the size of the marginal cost shock. This means that the total effect of marginal cost shock on prices is non-linear and that firm prices are more responsive to marginal cost increases than to marginal cost decreases. For market leaders, the pass-through of a large negative marginal cost shock would be close to zero, while the pass-through of a large positive marginal cost shock would approach that of small firms. In the second chapter, coauthored with Rui Mano, Yannick Timmer, and Anke Weber, we study the effect of the firm granularity in the labor market on their hiring decisions. We argue that prevalence of firms controlling large vacancy shares plays an important role in the transmission of monetary policy to labor demand and wage growth and can partially explain the flattening of the wage Philips curve after the GFC. Accommodative monetary policy raises the marginal product of labor, incentivizing all firms to hire more. However, since the wage elasticity of labor demand is lower for high vacancy share firms, they can hire more workers without raising wages disproportionately. We study this effect in the Burning Glass Technology vacancy microdata and, consistently with this mechanism, show that accommodative monetary policy increases labor demand more for high vacancy share firms and that this comes without a disproportionate response in wages. In aggregate, this implies that due to the presence of firms controlling large vacancy shares, accommodative monetary policy can lead to a decline in the unemployment rate that is decoupled from an increase in wage growth. Quantitatively, a firm at the 50th percentile of vacancy share distribution increases its labor demand by ≈ 7% in response to a 10 basis point surprise monetary loosening while a firm at the 95th percentile of the vacancy share distribution increases labor demand by ≈ 9%. Moreover, the effect of monetary policy shocks on firms with high vacancy share is much more persistent, with effects economically large and statistically significant at least for eight quarters. At the same time, there is no comparable differential response of wages, so even though firms with high vacancy shares hire more, they don’t have to increase their wages by more. In this case, more hiring does not result in a comparable increase in wage inflation. This channel can partly explain the flattening of the wage Phillips curve and the “wage-less” recovery after the Global Financial Crisis.In the third and last chapter, coauthored with Shruti Mishra, we study the impact of wealth heterogeneity on labor supply decisions. In the standard model, the positive wealth effect should decrease the willingness to supply labor. In the macroeconomic setting, this means that the direction and the magnitude of the wealth effect will determine whether people search for jobs more actively after a monetary intervention. For example, if unemployed consumers are indebted, they experience a negative wealth effect after a monetary contraction, search for jobs more actively and increase their probability of finding a job, therefore, reducing the total unemployment response. The sign and magnitude of the overall effect of monetary policy on unemployment will therefore depend on whether unemployed consumers are indebted and the magnitude of their debt. To study this mechanism, we develop a theoretical framework with heterogeneous consumers and employment search efforts and then decompose the effect of the monetary policy shock on aggregate unemployment. We test the prediction of the model in both micro and aggregate data. To test the prediction of the model in the aggregate, we estimate the coefficient of the interaction term between the debt-to-income ratio and Romer and Romer monetary policy shock. For the microdata, we use a similar regression with unemployment and mortgage variables for individual consumers from the PSID panel dataset. Consistently with the proposed mechanism, we find that the intuitive negative effect on employment of the monetary contraction is virtually non-existent or even reversed for indebted consumers. The three chapters together paint a complex picture of the impact of market power on macroeconomic variables. First, product market power impacts price-setting decisions of the firms and affects the dynamic of prices and inflation, effectively leading less concentrated economies to behave as if they have more flexible prices. Second, firms that control large share of vacancies in their labor market conduct hiring differently from their smaller counterparts leading to more quantity expansion. Lastly, labor markets exhibit complex supply dynamics as well, with labor supply potentially intensifying during recessions, which might lead the bargaining power of firms to become countercyclical. All these effects hold first-order significance for macroeconomic dynamics and influence our ability to project the future or asses the effects of monetary policy.

Thesis (MBA)--University of Stellenbosch, 2009. / ENGLISH ABSTRACT: This paper examines the price and income elasticity of demand for fuel products in Malawi. The data have been disaggregated into various sectors, agriculture, industry, construction, commercial transport, private motor vehicles and household, in order to fully understand the nature and magnitude of elasticity for each sector. Two methods were used - the simple economic method and the correlation coefficient method. This research covers a period of 10 years from 1995 to 2004. This period has been chosen in order to arrive at meaningful conclusions. The results show that each sector responds to price and income changes differently. The agricultural sector has been found to be inelastic to both price and income both in the short and long term. This sector, however, is sensitive to other factors like drought and currency depreciation. The industrial sector has been found to be very sensitive to both price and income changes both in the short and long term. The same trend has also been established for the construction sector and the commercial transport sector. In the private motor vehicle sector, petrol-powered private motor vehicles have been found to be inelastic to price as well as income both in the short and long term. The reason for this is lack of affordable alternative forms of transport. Tests for diesel-powered vehicles show very elastic results. The demand data may have been distorted by the fact that diesel demand for other equipment than vehicles could not be identified and it has been assumed that diesel bought at filling stations or reseller points is used by vehicles. There is evidence that diesel is also used for maize mills and generators. The household sector has been seen to be very sensitive to price and income changes. The reason for this is availability of substitutes such as charcoal, firewood and other forms of biomass fuel that are extensively used in rural areas. Income sensitivity is purely due to the fact that people in rural areas earn low income. The conclusions for the household sector are that first the government should remove the paraffin subsidy as it is not achieving its intended results. Secondly, the government should establish basic wages and also offer better prices to the subsistence sector. / AFRIKAANSE OPSOMMING: Hierdie proefskrif ondersoek die elastisiteit van prys en inkomste in die aanvraag na brandtstofprodukte in Malawi. Om die aard en omvang van die elastisiteit in elke sektor ten volle te verstaan, is die data gedesegregeer in verskeie sektore, naamlik landbou, nywerheid, die boubedryf, handelsvervoer, privaat motorvoertuie en die huishoudelike sektor. Twee metodes is gebruik: die eenvoudige ekonomiese metode en die korrelasie-koeffisient-metode. Hierdie navorsing beslaan 'n tydperk van tien jaar vanaf 1995 tot 2004. Die tydperk is gekies om sodoende betekenisvolle gevolgtrekkings te kan maak. Die resultate dui aan dat die sektore verskillend op veranderings in prys en inkomste reageer. Daar is bevind dat die landbousektor glad nie elasties is nie wat betref prys sowel as inkomste, sowel op die kort- as langtermyn. Hierdie sektor is egter sensitief vir ander faktore soos droogte en die depresiasie van die geldeenheid. Daar is bevind dat die nywerheidsektor baie sensitief is vir prys-, sowel as inkomsteveranderings op die kort- en langtermyn. Dieselfde neiging is bevind vir die bousektor en die handelsvervoersektor. In die privaat motorsektor is bevind dat petrolaangedrewe motors nie elasties is nie wat betref prys sowel as inkomste op die kort- sowel as langtermyn. Die rede hiervoor is die gebrek aan bekostigbare alternatiewe vervoermiddels. Toetse vir dieselaangedrewe motorvoertuie dui uiters elastiese resultate aan. Die data wat betref aanvraag kon moontlik verkeerd voorgestel word as gevolg daarvan dat die dieselaanvraag vir ander toerusting as voertuig nie geidentifiseer word nie. Daar is veronderstel dat diesel wat by vulstasies en herverkooppunte gekoop is, vir voertuie gebruik is. Daar is bewyse dat diesel ook vir mieliemeule en kragopwekkers gebruik word.

Accurately representing the price-demand relationship is critical for the success of a price optimization system. This research first uses booking data from 28 U.S. hotels to investigate the validity of two key assumptions in hotel revenue management. The assumptions are: 1) customers who book later are willing to pay higher rates than customers who book earlier; and, 2) demand is stronger during the week than on the weekend. Empirical results based on an analysis of booking curves, average paid rates, and occupancy rates for group, restricted retail, unrestricted retail, and negotiated demand segments challenge the validity of these assumptions. The combination of lower utilization rates and greater product differentiation suggests that hotels should apply different approaches than simply matching competitor rates to avoid losing market share. On days when inventory is near capacity, traditional yield management tactics deliver tremendous value, but these should be augmented by incorporating price response of demand and competition effects. On days when demand is soft and occupancy is projected to be low, price and competition based strategies should dominate. The hotel price optimization problem with linear demand model is a quadratic programming problem with prices of products that utilize multiple staynight rooms as the decision variable. The optimal solution of the hotel price optimization problems has unique properties that enables us to develop an alternative optimization algorithm that does not require solving quadratic optimization problem. Using the well known least norm problem as a subroutine, the optimization problem can be solved as finding a minimum distance between a polyhedron defined by non-negative demand and capacity constraints. This algorithm is efficient when only a few of the staynights are highly constrained. In practice, the choice of a demand model is largely driven by the ease of estimation and model fit statistics such as R2 and mean absolute percentage error (MAPE). These metrics provide measures of statistical validity of the model, however, they do not measure how well the price optimization will perform which is the ultimate interest of the practitioners. In order to measure the impact of demand models on price optimization performance, we first investigate the goodness of fit of linear demand models with different driver variables using actual data from 23 U.S. hotels representing multiple brands and location types. We find that hotels within the same location types (such as urban, suburban, airport) share similar driver variables. Airport and suburban hotels have simpler model specifications with less drivers compared to the urban hotels. The airport hotel demand models are different from other location hotels in that the airport hotel demand level does not differ by day of week. We then measure the impact of demand model misrepresentation on the performance of price optimization through simulation experiments, which are performed for different levels of demand and forecast accuracy to represent various market environments that hotels operate in. We find that using models with missing driver variables can reduce the potential revenue by 13%∼53% and using the wrong functional form 5%∼43% under our simulation environment. The findings from our research imply that correctly representing the demand model in price optimization is crucial to its success. In order for hotels to realize the maximum potential revenue through pricing, efforts should be focused on identifying the major driver variables influencing demand including the ones that we found to be significant.

O objetivo principal deste trabalho écalcular o valor da perda de bem-estar do setor siderúrgico brasileiro, considerando os diferentes mercados relevantes, como o de aço bruto, laminados, vergalhões e ferro-gusa. Para alcançar este propósito foram estimadas diferentes equações de demanda para os referidos mercados relevantes para, então, encontrar as elasticidades-preço da demanda. O modelo teórico utilizado referente ao peso morto para mercados oligopolizados foi o de Daskin (1991). Tratandose do cálculo das elasticidades-preço, utilizaram-se modelos de equações simultâneas com o uso de variáveis instrumentais. O mercado siderúrgico é oligopolizado no mundo inteiro, incluindo o Brasil. As inúmeras fusões e aquisições ocorridas, principalmente após a desestatização do setor, contribuíram para a concentração do mercado. O mercado siderúrgico brasileiro apresentou um alto índice de concentração, principalmente no mercado de vergalhões onde apenas três grupos empresariais (Gerdau, Arcelor Mittal e Votorantim) controlam todo o mercado deste produto. Em um mercado altamente concentrado as firmas podem exercer poder de mercado e desta forma há perdas econômicas para a sociedade como um todo. As elasticidades-preço encontradas no trabalho refletem bem a estrutura do setor siderúrgico brasileiro, em que, todos os mercados relevantes analisados apresentaram baixos valores de elasticidade-preço, ou sejam, inelásticos às variações de preço. O mercado de vergalhões foi o mais inelástico se comparado aos demais mercados, além disso, os seus valores de peso morto em relação ao faturamento também foram os maiores, evidenciando uma forte perda de bem-estar. Apesar dos outros mercados relevantes terem apresentado valores de peso morto em relação ao faturamento do setor inferiores, os mesmos não foram desprezíveis. O mercado de aço bruto que neste estudo representa o mercado siderúrgico brasileiro como um todo (exceto o seguimento de ferro-gusa), por incorporar os demais mercados relevantes, é dominado pelos grupos empresariais Arcelor Mittal; Gerdau, Usiminas Cosipa e Companhia Siderúrgica Nacional - CSN, e também apresentou resultados indicativos de forte perda de bemestar, com alto valor de peso morto. Já o mercado de laminados, controlado pelos grupos Arcelor Mittal, Usiminas Cosipa, CSN e Gerdau, apresentou resultados muito próximos aos do aço bruto. O mercado de ferro-gusa, menos concentrado em comparação as demais, foi o que apresentou os menores valores de peso morto, o que era esperado, pois este mercado, apesar de ser dominado por quatro grandes grupos siderúrgicos (Arcelor Mittal, Usiminas Cosipa, CSN e Gerdau), é um mercado onde há a participação de inúmeros produtores de pequeno porte denominados guseiros. As conclusões deste trabalho mostram que o mercado siderúrgico brasileiro é muito concentrado e há o exercício do poder de mercado por parte das firmas participantes, ocasionando perda de bem-estar para sociedade brasileira. Espera-se que este estudo, ao apresentar os valores de perda de bem-estar, possacontribuir para a análise ou para elaboração de políticas públicas relacionadas ao setor em questão. / The main objective of this study was to calculate the value of the welfare loss for the Brazilian steel sector. Different relevant markets were analyzed, such as: crude steel, rolled steel, rebar and pig iron. Price-elasticities of demand were obtained by estimating different demand equations for each related market. The theoretical model proposed by Daskin (1991) was used to calculate the dead weight loss in oligopolistic markets. Elasticities were obtained by formulating the simultaneous equations model and using instrumental variables. Worldwide, steel market can be considered an oligolopy, as well as in Brazil. In the Brazilian market, mergers and acquisitions that happened after the privatization of the sector, contributed for the market concentration. The Brazilian steel market showed a high concentration ratio, especially in the rebar market where only three groups (Gerdau, Arcelor Mittal and Votorantim) control the entire Brazilian market for this product. In a highly concentrated market firms tend to exercise market power. Consequently, there are economic losses to the society. The price elasticities of demand that were found in this research highlight the structure of the Brazilian steel market. For all the relevant markets that were analyzed, there were found low values for elasticities. It shows that all the products are price-inelastic. The rebar market was found to be the more inelastic when compared to other markets. In addition, for this same market, the calculated values of dead weight loss related to sales were also higher. High welfare losses can be related to the high market concentration for this product. Even though other relevant markets have presented positive values of dead weight loss related to sales of the lower sector, these values were not negligible. The market for crude steel that was analyzed in this study represents the Brazilian steel market as a whole because it incorporates other relevant markets. Large groups, such as, Arcelor Mittal, Gerdau, Usiminas Cosipa and CSN dominate the market. The results analyzed for the crude steel indicate a strong welfare loss, with a high value of dead weight loss. The results for the rolled products market, dominated by Arcelor Mittal, Usiminas Cosipa, CSN e Gerdau, are close to those found for the crude steel market. The market for pig iron, which is less concentrated when compared to other markets, presented lower values of dead weight loss. This result was expected because although this sector is dominated by four big groups there are many other small companies also producing in this sector. According to the results, it can be concluded that the Brazilian steel market is highly concentrated what enables firms to exercise their market power, causing a welfare loss for the Brazilian society. It is expected that, by presenting values for the welfare loss in the steel market, this research can help in the analysis and development of public policies for this sector.

In this thesis, we analyze the impact of the decentralization of price and leadtime decisions made by the marketing and production departments, respectively, in a make-to-order firm. We first study a monopoly environment, and find that in the decentralized setting, the total demand generated is larger, leadtimes are longer, quoted prices are lower, and the firm profits are lower as compared to the centralized setting. We show that coordination can be achieved using a transfer price contract with bonus payments, where both departments receive a fraction of the total revenues generated as a bonus payment. In the second study, we extend this work to a duopoly environment, where two firms compete on the basis of their price and leadtime quotes in a common market. We find that under intense price competition, firms may suffer from a decentralized structure, particularly under high flexibility induced by high capacity, where revenue based sales incentives motivate sales/marketing for more aggressive price cuts resulting in eroding margins. We take the parameters of the demand models in the first two studies as constant, while estimating those parameters based on historical data is a very important problem in practice. In the last study of this thesis, we address the challenges encountered in estimating the price sensitivity of customers shifting focus to the passenger travel industry. We explore how to obtain better price elasticity estimates through an empirical study with an emphasis on the endogeneity problem, which arises as a result of the simultaneous determination of supply and demand. We show that if one does not account for endogeneity, price elasticities may induce an upward-sloping demand curve suggesting that high price produces high demand, or may be biased downward to the extent that elastic demand curves are incorrectly classified as inelastic. We show the improvement in price elasticities through an instrumental variable approach.

This dissertation is an empirical study of demand and supply in differentiated products markets using supermarket scanner data on two particular product categories - canned tuna and hot-breakfast cereals. First, I study the impact of retailers' price promotions on consumer demand and retailer profits in the canned-tuna product category. Since canned tuna is storable, I examine whether consumers stock up during sales. The results suggest that only a limited amount of stockpiling exists in this product category. Since inventory is not very important, consumer demand is thus modeled by a static demand model with a random-coefficients-nested-logit specification, which is estimated by the Markov Chain Monte Carlo method. The unit-sales decomposition results show that on average 36% of the demand response to price promotions comes from brand-switching, so market expansion effects due to consumers switching from the outside good and to higher quantities usually dominate the brand-switching effect. Using the demand estimates, I compute optimal retail prices assuming that stores are local monopolists and choose prices to maximize static category-level profits. I find that regular prices at "high-low" stores are typically at or slightly below the optimal prices, but that regular prices at "every-day-low-price" stores are substantially below the optimal prices. These results suggest that retail price levels and price promotions are more likely related to local market conditions such as retail competition. In addition, I study the effects of store-brand (SB) entry on the demand elasticities of incumbent national brands (NB), consumers' substitution patterns for national and store brands, and the implications for consumer welfare in the hot-breakfast-cereals product category. A random-coefficients model of consumer demand is estimated by the generalized-method-of-moments approach. The empirical findings are: (1) After the entry of SB's, demand becomes more elastic for non-imitated NB's, and either more elastic or shows no change for imitated NB's; (2) in general, substitution patterns for NB's and SB's are asymmetric, i.e., when the prices of their favorite products increase, most NB buyers tend to substitute to other NB products, but SB buyers will substitute to the corresponding imitated NB's; (3) the increase in consumer surplus due to SB entry is trivial for an individual consumer, but the aggregate benefit could be quite substantial.

O setor automotivo é bastante representativo na economia nacional, o que motivou a realização deste estudo sobre a demanda por veículos novos no Brasil. No presente trabalho, é abordado um modelo econométrico que permite calcular as elasticidades do preço, da renda e do crédito em relação à demanda por veículos, sob a luz da teoria da cointegração. Analisando-se o período de junho de 2000 a janeiro de 2014, verifica-se a ocorrência de três quebras estruturais. Estas quebras dividem o intervalo de tempo analisado em quatro subperíodos, cada um com uma dinâmica própria. A constatação deste fato, muitas vezes negligenciado na literatura científica prévia, é um dos principais resultados deste trabalho: afinal, conclusões bastante distintas seriam obtidas ao se considerar o período todo sem quebras. Vale também destacar que o crédito se mostrou relevante para a demanda em todos os subperíodos: acredita-se, portanto, ser efetiva a implementação de uma política de estímulo ao setor, por meio do incentivo ao crédito. Por último, comenta-se que, no passado recente, a cada 1% de redução no preço do automóvel, a demanda aumentou numa proporção 30% maior. Este resultado corrobora com a percepção de que a redução de impostos pode alavancar a venda de veículos. / The automotive sector is fairly representative in the national economy, which motivated this study on the demand for new vehicles in Brazil. The present work discusses an econometric model which allows the calculation of the price, income and credit elasticities on the demand for vehicles in the light of the cointegration theory. Analyzing the period from June 2000 to January 2014, it is possible to observe three structural breaks. These breaks divide the time interval analyzed in four sub-periods, each with its own dynamics. The perception of this fact often overlooked in previous literature is one of the main findings of this work. In fact, very different conclusions would be obtained by considering the entire period without breaks. It is also worth noting that credit has been relevant to the demand in all sub-periods. Therefore, it seems to be effective to implement a policy to boost the automotive sector by encouraging credit. Finally, it is said that in recent history for each 1% reduction in car price, demand has increased in a 30% higher rate. This result corroborates the perception that tax cuts may boost the sale of vehicles. / Dissertação (mestrado) - Fundação Getulio Vargas, Escola de Pós-Graduação em Economia, Rio de Janeiro, 2014. / Bibliografia: p. 54-56

O objetivo principal deste trabalho écalcular o valor da perda de bem-estar do setor siderúrgico brasileiro, considerando os diferentes mercados relevantes, como o de aço bruto, laminados, vergalhões e ferro-gusa. Para alcançar este propósito foram estimadas diferentes equações de demanda para os referidos mercados relevantes para, então, encontrar as elasticidades-preço da demanda. O modelo teórico utilizado referente ao peso morto para mercados oligopolizados foi o de Daskin (1991). Tratandose do cálculo das elasticidades-preço, utilizaram-se modelos de equações simultâneas com o uso de variáveis instrumentais. O mercado siderúrgico é oligopolizado no mundo inteiro, incluindo o Brasil. As inúmeras fusões e aquisições ocorridas, principalmente após a desestatização do setor, contribuíram para a concentração do mercado. O mercado siderúrgico brasileiro apresentou um alto índice de concentração, principalmente no mercado de vergalhões onde apenas três grupos empresariais (Gerdau, Arcelor Mittal e Votorantim) controlam todo o mercado deste produto. Em um mercado altamente concentrado as firmas podem exercer poder de mercado e desta forma há perdas econômicas para a sociedade como um todo. As elasticidades-preço encontradas no trabalho refletem bem a estrutura do setor siderúrgico brasileiro, em que, todos os mercados relevantes analisados apresentaram baixos valores de elasticidade-preço, ou sejam, inelásticos às variações de preço. O mercado de vergalhões foi o mais inelástico se comparado aos demais mercados, além disso, os seus valores de peso morto em relação ao faturamento também foram os maiores, evidenciando uma forte perda de bem-estar. Apesar dos outros mercados relevantes terem apresentado valores de peso morto em relação ao faturamento do setor inferiores, os mesmos não foram desprezíveis. O mercado de aço bruto que neste estudo representa o mercado siderúrgico brasileiro como um todo (exceto o seguimento de ferro-gusa), por incorporar os demais mercados relevantes, é dominado pelos grupos empresariais Arcelor Mittal; Gerdau, Usiminas Cosipa e Companhia Siderúrgica Nacional - CSN, e também apresentou resultados indicativos de forte perda de bemestar, com alto valor de peso morto. Já o mercado de laminados, controlado pelos grupos Arcelor Mittal, Usiminas Cosipa, CSN e Gerdau, apresentou resultados muito próximos aos do aço bruto. O mercado de ferro-gusa, menos concentrado em comparação as demais, foi o que apresentou os menores valores de peso morto, o que era esperado, pois este mercado, apesar de ser dominado por quatro grandes grupos siderúrgicos (Arcelor Mittal, Usiminas Cosipa, CSN e Gerdau), é um mercado onde há a participação de inúmeros produtores de pequeno porte denominados guseiros. As conclusões deste trabalho mostram que o mercado siderúrgico brasileiro é muito concentrado e há o exercício do poder de mercado por parte das firmas participantes, ocasionando perda de bem-estar para sociedade brasileira. Espera-se que este estudo, ao apresentar os valores de perda de bem-estar, possacontribuir para a análise ou para elaboração de políticas públicas relacionadas ao setor em questão. / The main objective of this study was to calculate the value of the welfare loss for the Brazilian steel sector. Different relevant markets were analyzed, such as: crude steel, rolled steel, rebar and pig iron. Price-elasticities of demand were obtained by estimating different demand equations for each related market. The theoretical model proposed by Daskin (1991) was used to calculate the dead weight loss in oligopolistic markets. Elasticities were obtained by formulating the simultaneous equations model and using instrumental variables. Worldwide, steel market can be considered an oligolopy, as well as in Brazil. In the Brazilian market, mergers and acquisitions that happened after the privatization of the sector, contributed for the market concentration. The Brazilian steel market showed a high concentration ratio, especially in the rebar market where only three groups (Gerdau, Arcelor Mittal and Votorantim) control the entire Brazilian market for this product. In a highly concentrated market firms tend to exercise market power. Consequently, there are economic losses to the society. The price elasticities of demand that were found in this research highlight the structure of the Brazilian steel market. For all the relevant markets that were analyzed, there were found low values for elasticities. It shows that all the products are price-inelastic. The rebar market was found to be the more inelastic when compared to other markets. In addition, for this same market, the calculated values of dead weight loss related to sales were also higher. High welfare losses can be related to the high market concentration for this product. Even though other relevant markets have presented positive values of dead weight loss related to sales of the lower sector, these values were not negligible. The market for crude steel that was analyzed in this study represents the Brazilian steel market as a whole because it incorporates other relevant markets. Large groups, such as, Arcelor Mittal, Gerdau, Usiminas Cosipa and CSN dominate the market. The results analyzed for the crude steel indicate a strong welfare loss, with a high value of dead weight loss. The results for the rolled products market, dominated by Arcelor Mittal, Usiminas Cosipa, CSN e Gerdau, are close to those found for the crude steel market. The market for pig iron, which is less concentrated when compared to other markets, presented lower values of dead weight loss. This result was expected because although this sector is dominated by four big groups there are many other small companies also producing in this sector. According to the results, it can be concluded that the Brazilian steel market is highly concentrated what enables firms to exercise their market power, causing a welfare loss for the Brazilian society. It is expected that, by presenting values for the welfare loss in the steel market, this research can help in the analysis and development of public policies for this sector.

This study examines how federal farm policies, specifically crop Insurance, have affected the farm economic structure of North Dakota's agriculture sector. The system of derived input demand equations is estimated to quantify the changes in North Dakota farmers' input use when they purchase crop insurance. Further, the cumulative rolling regression technique is applied to capture the varying effects of the farm policies over time. Empirical results from the system of input demand functions indicate that there is no moral hazard since North Dakota farmers will increase fertilizer and pesticide use in the presence of crop insurance. Results also indicate that farmers in this state will not increase the use of land.

In 1997 industrialized nations, the Third Conference of the Parties to the United Nations Framework Convention on Climate Change, met in Kyoto, Japan to sign a treaty (the “Kyoto Protocol”) in terms of which industrialized nations would be required to reduce their greenhouse gas emission by at least five percent below 1990 levels by the end of the “first commitment period” 2008-2012. South Africa is not regarded as an industrialized nation, but nonetheless acceded to the Kyoto Protocol in 2002. The literature reviewed in the present research reveals that, although idealistic, the Kyoto Protocol has been problematic. Fourteen meetings of the Conference of Parties to the Kyoto Protocol between 1997 and 2011 have achieved little more than to repeatedly defer and redefine Kyoto obligations. This research was undertaken to document the existing environmental taxation policies employed in selected international jurisdictions with a view to providing a framework for environmental tax policy formation in South Africa to assist this country in meeting its “greenhouse gas” emission targets, while at the same time promoting economic growth. A doctrinal research methodology was adopted in this study as it mainly analysed and interpreted legislation and policy documents and therefore the approach was qualitative in nature. An extensive literature survey was performed to document the various environmental policies that have been legislated in the selected jurisdictions. Comparisons were drawn with proposed tax policy measures for South Africa. The literature indicates that in the selected international jurisdictions carbon taxes achieved less-than-optimal results, largely due to political and industry-competitive agendas. With South Africa planning to introduce a carbon tax, it is submitted that the implementation of a carbon tax regime in isolation will be counter-productive, given South Africa’s economic profile. On the basis of the literature reviewed, it was concluded that South Africa should consider “recycling” carbon tax revenues within the economy to fund a broad-based tax incentive regime that will stimulate the change to non-carbon energy whilst promoting growth through sustainable development