Redescription of \u3ci\u3eMicropsectra Polita\u3c/i\u3e (Diptera: Chironomidae) with the Female and Immature Stages

(excerpt) Malloch (1915) described Micropsectra polita (as Tanytarsus politus) from males collected along the banks of Central Dredge Ditch at Easton, Mason County, llIinois. Females of this species were not collected at that time. On 12 February 1974, males, females, and larvae were collected from a small spring-fed seep (Fig. 1) running into Muncie Pond, in Vermilion County, llIinois

Status Survey for a Cave Amphipod, Gammarus acherondytes, Hubricht and Mackin (Crustacea: Amphipoda) in Southern Illinois

INHS Technical Report prepared for Natural Heritage Division, Department of Conservatio

Study of the effects of atmospheric turbulence on laser communications systems, volume 1 Interim report

High altitude aircraft test for visible laser communication and analysis of errors in optical communications experiment due to flight path inaccuracie

LANDSAT 4 and 5: Emergency

The primary purpose of LANDSAT is to study Earth resources. Each satellite contains a Thematic Mapper (TM) and a Multispectral Scanner (MSS) imaging device plus mission unique hardware. The flight profile is presented, and information is presented in tabular form on the following topics: Deep Space Network support, frequency assignments, telemetry, command, and tracking support responsibility

Electroencephalographic studies of sleep

Various experimental studies on sleep are described. The following areas are discussed: (1) effect of altered day length on sleep, (2) effect of a partial loss of sleep on subsequent nocturnal sleep; (3) effect of rigid control over sleep-wake-up times; (4) sleep and wakefulness in a time-free environment; (5) distribution of spindles during a full night of sleep; and (6) effect on sleep and performance of swiftly changing shifts of work

The PCSE Estimator is Good -- Just Not as Good as You Think

This paper investigates the properties of the Panel-Corrected Standard Error (PCSE) estimator. The PCSE estimator is commonly used when working with time-series, crosssectional (TSCS) data. In an influential paper, Beck and Katz (1995) (henceforth BK) demonstrated that FGLS produces coefficient standard errors that are severely underestimated. They report Monte Carlo experiments in which the PCSE estimator produces accurate standard error estimates at no, or little, loss in efficiency compared to FGLS. Our study further investigates the properties of the PCSE estimator. We first reproduce the main experimental results of BK using their Monte Carlo framework. We then show that the PCSE estimator does not perform as well when tested in data environments that better resemble “practical research situations.” When (i) the explanatory variable(s) are characterized by substantial persistence, (ii) there is serial correlation in the errors, and (iii) the time span of the data series is relatively short, coverage rates for the PCSE estimator frequently fall between 80 and 90 percent. Further, we find many “practical research situations” where the PCSE estimator compares poorly with FGLS on efficiency grounds.Panel data estimation; Monte Carlo analysis; FGLS; Parks; PCSE; finite sample