A Specialized Inventory Problem in Banks: Optimizing Retail Sweeps

Deposits held at Federal Reserve Banks are an essential input to the business activity of most depository institutions in the United States. Managing these deposits is an important and complex inventory problem for two reasons. First, Federal Reserve regulations require that depository institutions hold certain amounts of such deposits at the Federal Reserve Banks to satisfy statutory reserve requirements against customers' transaction accounts (demand deposits and other checkable deposits). Second, some inventory of such deposits is essential for banks to operate one of their core lines of business: furnishing payment services to households and firms. Because the Federal Reserve does not pay interest on such deposits used to satisfy statutory reserve requirements, banks seek to minimize their inventory of such deposits. In 1994, the banking industry introduced a new inventory management tool for such deposits, the retail deposit sweep program, which avoids the statutory requirement by reclassifying transaction deposits as savings deposits. This is an interesting inventory problem for fungible items, where the conversion process is reversible. We examine two methods for operating such sweeps programs within the limits of Federal Reserve regulations, and we develop a stochastic dynamic programming model to implement one such method, the threshold method.     

A comparison of conditional Poisson sampling versus unequal probability sampling with replacement

The variance of the Horvitz–Thompson estimator for a fixed size Conditional Poisson sampling scheme without replacement and with unequal inclusion probabilities is compared to the variance of the Hansen–Hurwitz estimator for a sampling scheme with replacement. We show, using a theorem by Gabler, that the sampling design without replacement is more efficient than the sampling design with replacement.     

Lower bounds on expectations of positive L-statistics from without-replacement models

We consider samples drawn without replacement from finite populations. We establish optimal lower non-negative and upper non-positive bounds on the expectations of linear combinations of order statistics centered about the population mean in units generated by the population central absolute moments of various orders. We also specify the general results for important examples of sample extremes, Gini mean differences and sample range. The paper completes the results of Papadatos and Rychlik [2004. Bounds on expectations of L-statistics from without replacement samples. J. Statist. Plann. Inference 124, 317–336], where sharp negative lower and positive upper bounds on the expectations of the combinations were presented for the without-replacement samples.     

Approximate optimal allocation in repeated sampling from a finite population

Samples of size n are drawn from a finite population on each of two occasions. On the first occasion a variate x is measured, and on the second a variate y. In estimating the population mean of y, the variance of the best linear unbiased combination of means for matched and unmatched samples is itself minimized, with respect to the sampling design on the second occasion, by a certain degree of matching. This optimal allocation depends on the population correlation coefficient, which previous authors have assumed known. We estimate the correlation from an initial matched sample, then an approximately optimal allocation is completed and an estimator formed which, under a bivariate normal superpopulation model, has model expected mean square error equal, apart from an error of order n^-2, to the minimum enjoyed by any linear, unbiased estimator.     

An alternative estimator for multiple characteristics in PPS sampling

The problem considered relates to large-scale sample surveys. A new estimator of population total for the characteristics that are poorly correlated with the selection probabilities has been developed for the PPSWR sampling scheme. The relative efficiency of the proposed estimator has been studied under a super-population model. A numerical investigation into the performance of the estimator has also been made.     

THE DYNAMICS OF CLIMATE AGREEMENTS

This paper analyzes a framework in which countries over time pollute and invest in green technologies. Without a climate treaty, the countries pollute too much and invest too little, particularly if intellectual property rights are weak. Nevertheless, short‐term agreements on emission levels then reduce every country's payoff, since countries invest less when they anticipate future negotiations. If intellectual property rights are weak, the agreement should be tougher and more long‐term. Conversely, if the climate agreement happens to be short‐term or absent, intellectual property rights should be strengthened or technological licensing subsidized.     

似是故人来--《德伯家的苔丝》的新历史主义观

新历史主义凸显文本与语境的互动关系,即“历史的文本性”和“文本的历史性”,同时也提出了文学文本“颠覆”与“遏制”的政治功能。细读哈代的《德伯家的苔丝》,可以发现该小说体现了“历史的文本性”和“文本的历史性”意识,哈代在小说中试图对社会的中心意识进行“颠覆”,但其在“颠覆”过程中却又受到历史语境的“遏制”。     

International cooperation in stockpiles and tariffs for coping with oil supply disruptions

This paper provides a unified treatment of oil stockpiling and demand restraint as policy responses for enhancing energy security and examines the implications of recent changes in the structure and performance of the international oil market for the design of policies. These issues are addressed using a dynamic programming framework in which international policy actions of key oil-importing countries are modeled as a Nash dynamic game. Significant policy implications from the analysis include: (1) the result that, with realistic assumptions about disruption risks and inventory capacities, differences between noncooperative and coordinated stockpile policies appear to be minor and (2) significant mutual gains could be reaped from a modest degree of collective restraint on normal market oil demand. The broader role of international cooperation in enhancing energy security is also discussed.     

The determinants of international creditworthiness and their policy implications

The present paper utilizes an empirical measure of creditworthiness based on bankers' perceptions to estimate the effect of various variables hypothesized to influence assessments of countries' debt-servicing capacity. The data pertain to a cross section of countries within the period 1979–1983. Such estimates necessarily employ a ceteris paribus assumption, which prevents a realistic assessment of the effects generated by policy changes. The second part of the paper develops, therefore, a dynamic simulation model of a hypothetical average economy. The simulations allow analysis of changes in macroeconomic variables and creditworthiness over time within a system that maintains accounting identities and behavioral constraints. Several changes in policy variables are considered that highlight the importance of export expansion. The latter is, of course, an often suggested policy objective, but the present paper demonstrates its effectiveness in terms of a somewhat nonstandard criterion.     

Political confrontation over fiscal processes: The impact of the U.S. Congressional Budget Act

In July 1974 the U.S. Congressional Budget Act was signed into law. This legislation was the result of a heavily fought political confrontation between President Nixon and Congress over who controlled the Federal budget. In addition to the issue of control, the Act was prompted by dissatisfaction with the procedures used by Congress to determine Federal receipts and expenditures. The purpose of this paper is to assess the impact this legislation had on the U.S. economy in its early years.The first section of the paper sets up a simple modeling framework. The model is specified so as to illustrate how a change in the budget process resulting from the Congressional Budget Act could potentially produce changes in the level of total output. This section also explains the derivation of a tax and expenditure series used in the model's empirical testing. The second section addresses some of the theoretical issues, and presents the results of simulations based on the Chase, Wharton, and Data Resources econometric models. Broad conclusions are gathered in the final section.