Dynamic higher order expectations

In models where privately informed agents interact, agents may need to formhigher order expectations, i.e. expectations of other agents' expectations. This paper develops a tractable framework for solving and analyzing linear dynamic rational expectationsmodels in which privately informed agents form higher order expectations. The frameworkis used to demonstrate that the well-known problem of the infinite regress of expectationsidentified by Townsend (1983) can be approximated to an arbitrary accuracy with a finitedimensional representation under quite general conditions. The paper is constructive andpresents a fixed point algorithm for finding an accurate solution and provides weak conditions that ensure that a fixed point exists. To help intuition, Singleton's (1987) asset pricingmodel with disparately informed traders is used as a vehicle for the paper.

Minimum distance estimation of stationary and non-stationary ARFIMA processes

A new parametric minimum distance time-domain estimator for ARFIMA processes is introduced in this paper. The proposed estimator minimizes the sum of squared correlations of residuals obtained after filtering a series through ARFIMA parameters. The estimator iseasy to compute and is consistent and asymptotically normally distributed for fractionallyintegrated (FI) processes with an integration order d strictly greater than -0.75. Therefore, it can be applied to both stationary and non-stationary processes. Deterministic components are also allowed in the DGP. Furthermore, as a by-product, the estimation procedure provides an immediate check on the adequacy of the specified model. This is so because the criterion function, when evaluated at the estimated values, coincides with the Box-Pierce goodness of fit statistic. Empirical applications and Monte-Carlo simulations supporting the analytical results and showing the good performance of the estimator in finite samples are also provided.

Executive Order Number Nine, November 7, 2008

This Executive Order directs IFA to administer the allocation of additional tax-exempt bonding authority provided by the Disaster Relief Act, develop administrative rules to implement the allocation of this additional tax-exempt bonding authority, track the allocation of the additional tax-exempt bonding authority to ensure compliance with all applicable federal law, and provide all necessary reports to the IRS.

Executive Order Number Ten, December 22, 2008

This Executive Order aids the Governor to meet his Constitutional obligation to balance the state budget, announcing that he would order a 1.5 percent across-the-board reduction in state expenditures for the current fiscal year.

Executive Order Number Eleven, February 17, 2009

This Executive Order creates a task force on dependent care.

Study of the mayfly order Ephemeroptera (Insecta) in Brazil: a scienciometric review

Study of the mayfly order Ephemeroptera (Insecta) in Brazil: a scienciometric review. Despite an increase in the number of studies in recent years of the aquatic insect order Ephemeroptera (the mayflies) much still remains to be learnt. In order to identify the current state of knowledge of this group in Brazil, we performed a scienciometric analysis with the purpose of identifying the strong and weak points of Brazilian research into the group. Our research used the "Institute for Scientific Information - ISI" database and was based on the abstracts, titles and keywords of manuscripts published between 1992 and 2011. We selected the papers with the combination of the words "Ephemeroptera" and "Brazil*" based on a search in February 2012. We analyzed 92 articles, and noted a lack of studies in some Brazilian states, no specific studies about some families, and an absence of phylogenetic studies. To improve ecological studies, it is necessary to fine-tune taxonomic resolution. Moreover, there is a lack of studies investigating the environmental variables which influence the distribution of mayflies. Despite these gaps, if the rate of publication with mayflies proceeds at the same pace, we anticipate that many of these knowledge gaps will be closed.

Executive Order Number Twelve, April 14, 2009

This Executive Order made the creation of the Iowa Accountability and Transparency Board and the report of the State of Iowa's efforts to implement the AARA

Executive Order Number Thirteen, May 26, 2009

This Executive Order expects the State government expense reimbursements will be properly accounted for.

Comparison of the polynomial model against explicit measurements of noise components for different mammography systems.

Given the adverse impact of image noise on the perception of important clinical details in digital mammography, routine quality control measurements should include an evaluation of noise. The European Guidelines, for example, employ a second-order polynomial fit of pixel variance as a function of detector air kerma (DAK) to decompose noise into quantum, electronic and fixed pattern (FP) components and assess the DAK range where quantum noise dominates. This work examines the robustness of the polynomial method against an explicit noise decomposition method. The two methods were applied to variance and noise power spectrum (NPS) data from six digital mammography units. Twenty homogeneously exposed images were acquired with PMMA blocks for target DAKs ranging from 6.25 to 1600 µGy. Both methods were explored for the effects of data weighting and squared fit coefficients during the curve fitting, the influence of the additional filter material (2 mm Al versus 40 mm PMMA) and noise de-trending. Finally, spatial stationarity of noise was assessed.Data weighting improved noise model fitting over large DAK ranges, especially at low detector exposures. The polynomial and explicit decompositions generally agreed for quantum and electronic noise but FP noise fraction was consistently underestimated by the polynomial method. Noise decomposition as a function of position in the image showed limited noise stationarity, especially for FP noise; thus the position of the region of interest (ROI) used for noise decomposition may influence fractional noise composition. The ROI area and position used in the Guidelines offer an acceptable estimation of noise components. While there are limitations to the polynomial model, when used with care and with appropriate data weighting, the method offers a simple and robust means of examining the detector noise components as a function of detector exposure.

A Variant of Higher-Order Anti-Unification

We present a rule-based Huet’s style anti-unification algorithm for simply-typed lambda-terms in ɳ long β normal form, which computes a least general higher-order pattern generalization. For a pair of arbitrary terms of the same type, such a generalization always exists and is unique modulo α equivalence and variable renaming. The algorithm computes it in cubic time within linear space. It has been implemented and the code is freely available

Executive Order Number Fourteen, June 22, 2009

This Executive Order expects the State government to facilitate the effective and efficient delivery of services to constituents, governments ought to partner and and coordinate with non-profit community organizations.

Executive Order Number Fifteen, July 15, 2009

This Executive Order expects the State government to help more than 5,800 offenders released to Iowa communities each year, affecting public safety, public health, economic and community well-being and family relationships. Offenders re-entry initiatives involve collaborative partnerships amongst corrections, other agencies and the community.

Executive Order Number Sixteen, August 20, 2009

This Executive Order expects the State government to envision an economic future for the State of Iowa in which its citizens will leak the nation toward the clean, safe, unlimited, efficient job producing prosperity-inducing and environmentally friendly energies of the 21st Century (sometimes referred to as a "Green Economy').

Executive Order Number Seventeen, September 25, 2009

This Executive Order expects the State of Iowa executive agencies and Regent Institutions own, purchase, build and lease property, including office space, worth billions of dollars for educational, correctional, recreational, conservation, transportation, communication, public health, workforce and related public functions and the placement of state offices in historic central business districts "downtown" can strengthen and revitalize Iowa's cities and towns.

Executive Order Number Eighteen, September 25, 2009

The state Revenue Estimating Conference (REC) reduced its Fiscal Year 2009 net General Fund revenue estimate at the December 12, 2008, meeting by 1.6 percent from $6.151 billion to $6.052 billion.