Valentine v. State of Nevada, 135 Nev. Adv. Op. 62 (Dec. 19, 2019)

The Court held that evidentiary hearings are appropriate on fair-cross-section challenges when the defendant makes specific allegations that, if true, would be sufficient to constitute a prima facie violation of the state’s fair-cross-section requirement. The Court also briefly discussed appellant’s claims of insufficient evidence and prosecutorial misconduct regarding DNA evidence. The Court found that neither claim warranted a new trial

Classroom Management Training: Keeping New Teachers

Many new teachers begin their first day of school with a sense of idealism. They expect to make a difference in the lives of young students. However, many soon learn the challenges of classroom, behavior management and feel great stress. Can more classroom management training in college and pre-service, student-teaching strategies help these novice educators? This article asks education professionals and researchers to evaluate their teacher training programs and increase classroom management training

On the Welfare Consequences of Political Activity

When economic actors are also allowed to become politically active, perhaps to influence a government price policy, they face decision problems with essentially simultaneous political and economic features. If, in addition, two groups struggle to pull the administered price level in opposite directions, an important strategic component is introduced. On two levels, then, such situations depart from the competitive economy framework of Arrow and Debreu. The model of this paper is designed to reconcile the general equilibrium model with politically active interest groups. This model is then used to assess the welfare consequences of such lobbying activity. We find that very often a lobbying program with price distortions is not the best means for regulating these economies. However, there may be cases in which no alternative policy could achieve the outcome resulting from the lobbying program. Keywords: Political economy, lobbying behavior, rent-seeking, distortionary policy.Political economy, lobbying behavior, rent-seeking, distortionary policy., Political Economy,

A piecewise linear model for trade sign inference

We use transaction level data for twelve stocks with large market capitalization on the Australian Stock Exchange to develop an empirical model for trade sign (trade initiator) inference. The new model is a piecewise linear parameterization of the model proposed recently in Ref. [1]. The space of the predictor variables is partitioned into six regions. Signs of individual trades within the regions are inferred according to simple and interpretable rules. Across the 12 stocks the new model achieves an average out-of-sample classification accuracy of 74.38% (SD=4.25%), which is 2.98% above the corresponding accuracy reported in Ref. [1]. Two of the model's regions, together accounting for 16.79% of the total number of daily trades, have each an average classification accuracy exceeding 91.50%. The results indicate a strong dependence between the predictor variables and the trade sign, and provide evidence for an endogenous component in the order flow. An interpretation of the trade sign classification accuracy within the model's regions offers new insights into a relationship between two regularities observed in the markets with a limit order book, competition for order execution and transaction cost minimization.Order submission, Trade classification, Piecewise linear, Competition for order execution, Transaction cost minimization

A local non-parametric model for trade sign inference

We investigate a regularity in market order submission strategies for twelve stocks with large market capitalization on the Australian Stock Exchange. The regularity is evidenced by a predictable relationship between the trade sign (trade initiator), size of the trade, and the contents of the limit order book before the trade. We demonstrate this predictability by developing an empirical inference model to classify trades into buyer-initiated and seller-initiated. The model employs a local non-parametric method, k-nearest-neighbor, which in the past was used successfully for chaotic time series prediction. The k-nearest- neighbor with three predictor variables achieves an average out-of- sample classification accuracy of 71.40%, compared to 63.32% for the linear logistic regression with seven predictor variables. The result suggests that a non-linear approach may produce a more parsimonious trade sign inference model with a higher out-of-sample classification accuracy. Furthermore, for most of our stocks the observed regularity in market order submissions seems to have a memory of at least 30 trading days.Order submission, Trade classification, K-nearest-neighbor, Non-linear, Memory

Value of Information and Averting Behavior: The Case of Toxic Water Contamination

Little theoretical work has been done previously on the welfare valuation of changes in price and quality when consumers are imperfectly informed. The presence of imperfect information is particularly important in the analysis of averting behaviors. We develop a theoretical welfare measure, called quasi-compensating variation, as a natural extension of compensating variation (CV). We show that this welfare measure offers not only a money metric of the "value of information", but also a means to appropriately evaluate the welfare effects of various policies when consumers are imperfectly informed of water contamination. With a numerical example and our decomposition results (Propositions 2 and 3), we demonstrate that (i) the value of information could potentially account for a large portion of the total welfare gains when regulators simultaneously disseminate accurate information and improve drinking water quality, (ii) the willingness to pay to avoid toxic contamination is strictly larger for imperfectly informed than perfectly informed consumers, and (iii) the distribution of imperfect information among consumers affects the relative performance of the two compelling policy alternatives, "self-protection" and "pollution control".Consumer/Household Economics,

INTEGRATED ENVIRONMENTAL-ECONOMIC ACCOUNTING OF GDP

Conventional measures of gross domestic product (GDP) fail to account for the effect of economic activity on the environment. Integrated environmental-economic (or 'green') GDP is calculated using a data-envelopment-analysis (DEA) framework. For this purpose a dynamic cross-country technology is specified and estimated. Deriving Green GDP involves subtracting the inner product of the vectors of shadow prices and environmental degradation variables from conventional GDP.Community/Rural/Urban Development, Environmental Economics and Policy,

Letter to Sandra Wenner regarding advertisements in the Southeastern Law Librarian, September 12, 1991

A letter from Timothy Coggins to Sandra Wenner regarding advertisements for job openings in the Southeastern Law Librarian

Letter to Frits Tenpas regarding the SEAALL Annual Meeting, January 16, 1991

A letter from Timothy Coggins to Frits Tenpas providing information on exhibiting at the SEAALL Annual Meeting

School Lunch Standard Adherence And The Effects On Body Mass Index For 3rd-5th Grade Elementary School Children

This submission is an IRB Protocol design to assess the effect of the Fresh Fruit and Vegetable Program in accordance with the Nation School Lunch Program on 3rd-5th grade children from two separate schools. The study will measure fruit and vegetable intake as well as the correlation with BMI z-score over the course of the SY 18-19.https://dune.une.edu/an_studedres/1109/thumbnail.jp