879 resultados para Fuel prices


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The monthly fuel tax report from Iowa Department of Transportation to the Iowa Department of Revenue and Finance.

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The monthly fuel tax report from Iowa Department of Transportation to the Iowa Department of Revenue and Finance.

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The monthly fuel tax report from Iowa Department of Transportation to the Iowa Department of Revenue and Finance.

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The monthly fuel tax report from Iowa Department of Transportation to the Iowa Department of Revenue and Finance.

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The monthly fuel tax report from Iowa Department of Transportation to the Iowa Department of Revenue and Finance.

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The monthly fuel tax report from Iowa Department of Transportation to the Iowa Department of Revenue and Finance.

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The monthly fuel tax report from Iowa Department of Transportation to the Iowa Department of Revenue and Finance.

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The monthly fuel tax report from Iowa Department of Transportation to the Iowa Department of Revenue and Finance.

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The monthly fuel tax report from Iowa Department of Transportation to the Iowa Department of Revenue and Finance.

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The monthly fuel tax report from Iowa Department of Transportation to the Iowa Department of Revenue and Finance.

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The Seventy-ninth General Assembly of the State of Iowa, 2001 Regular Session, passed Senate File 465 which was signed by the Governor on April 19, 2001. This act created the biodiesel fuel revolving fund (Fund) to be used to purchase biodiesel fuel for use in the Department of Transportation's (DOT) vehicles.

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Iowa Code section 452A.33(3) requires by Feb. 1 of each year the Iowa Department of Transportation shall deliver a report to the governor and legislative services agency regarding flexible fuels vehicles registered in Iowa.

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We study theoretical and empirical aspects of the mean exit time (MET) of financial time series. The theoretical modeling is done within the framework of continuous time random walk. We empirically verify that the mean exit time follows a quadratic scaling law and it has associated a prefactor which is specific to the analyzed stock. We perform a series of statistical tests to determine which kind of correlation are responsible for this specificity. The main contribution is associated with the autocorrelation property of stock returns. We introduce and solve analytically both two-state and three-state Markov chain models. The analytical results obtained with the two-state Markov chain model allows us to obtain a data collapse of the 20 measured MET profiles in a single master curve.

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[eng] A multi-sided Böhm-Bawerk assignment game (Tejada, to appear) is a model for a multilateral market with a finite number of perfectly complementary indivisible commodities owned by different sellers, and inflexible demand and support functions. We show that for each such market game there is a unique vector of competitive prices for the commodities that is vertical syndication-proof, in the sense that, at those prices, syndication of sellers each owning a different commodity is neither beneficial nor detrimental for the buyers. Since, moreover, the benefits obtained by the agents at those prices correspond to the nucleolus of the market game, we provide a syndication-based foundation for the nucleolus as an appropriate solution concept for market games. For different solution concepts a syndicate can be disadvantageous and there is no escape to Aumman’s paradox (Aumann, 1973). We further show that vertical syndicationproofness and horizontal syndication-proofness – in which sellers of the same commodity collude – are incompatible requirements under some mild assumptions. Our results build on a self-interesting link between multi-sided Böhm-Bawerk assignment games and bankruptcy games (O’Neill, 1982). We identify a particular subset of Böhm-Bawerk assignment games and we show that it is isomorphic to the whole class of bankruptcy games. This isomorphism enables us to show the uniqueness of the vector of vertical syndication-proof prices for the whole class of Böhm-Bawerk assignment market using well-known results of bankruptcy problems.

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This work carries out an empirical evaluation of the impact of the main mechanism for regulating the prices of medicines in the UK on a variety ofpharmaceutical price indices. The empirical evidence shows that the overall impact of the rate of return cap appears to have been slight or even null, and in any case that the impact would differ across therapeutic areas. These empiricalfindings suggest that the price regulation has managed to encourage UK-based firms¿ diversification in many therapeutic areas