Supply of Money and Food Prices: A Time Series Analysis

Relationships between monetary variables and price indices continue always to be the subject of research interest and studies. This paper examines the relationship between money supply and retail food prices in Greece, using individual time series of monthly data for these variables. ADF unit root testing shows that both series are non stationary at their levels. However, the series are stationary at their first differences and further analysis shows that the two I(1) variables are cointegrated, having a stationary, proportional, long-run equilibrium relationship. Both, the Johansen and Engle-Granger procedures are implemented. Estimation of Vector Error Correction (VEC) models allows for the derivation of the cointegrating vector and relationship, and results seem to justify the argument of money neutrality with regards to food prices. VEC estimation makes feasible also, the calculation of the adjustment speed to the long-run equilibrium between the two variables considered.

Summary of literature survey of hypergolic ignition spike phenomena, phase I Final report, Apr. 8 - Dec. 31, 1965

Summary of industry survey and literature search of ignition spike phenomena in low thrust, hypergolic, liquid bipropellant rocket engine

Distribution Dynamics of Food Price Inflation Rates in EU: An Alternative Conditional Density Estimator Approach

Concepts and developments in the literature of economic growth and convergence have recently been adopted and used in the study of inflation rate convergence. This paper examines initially the existence of â-convergence, as mean reversion, of food price inflation rates in the European Union, using the stochastic convergence approach of panel data unit root tests. It examines also the existence of ó-convergence but in order capture sufficiently the evolving distributional dynamics, non-parametric econometric methods are implemented as well. An alternative conditional density estimator, proposed in the literature, is applied for this reason. This estimator is chosen as superior, not only to the restrictive discrete Markov chain approaches but also to the usual estimators of conditional densities using stochastic kernels. Monthly data on the EU harmonized consumer price indices of food and eleven specific food product subgroups are used, for the 15 older EU member states, covering the 1997-2009 period.Kernel density estimator, convergence, distribution dynamics, food price inflation

The Impact Of Socio-Demographic Factors And Political Perceptions On Consumer Attitudes Towards Genetically Modified Foods: An Econometric Investigation

This survey-based paper investigates the impact of socio-demographic factors, along with political perceptions, as expressed by attitudes towards globalization, on consumer attitudes towards GM foods, in Greece. Different aspects of consumer attitudes regarding GM foods are examined, such as general preference, banning, labeling, intention to purchase them at a sufficiently low price, the nutritional category of food product and the proximity of the genetic modification to the final product. Econometric analysis using Logit and Probit models was conducted. Estimates clearly show that in general, attitudes towards GM foods are not affected by socio-demographic characteristics. However, political perceptions are a significant influential factor.Globalization, political, genetically modified food, econometric, Consumer/Household Economics, Food Consumption/Nutrition/Food Safety, D12, M31, R22,

Exploratory study of hypergolic ignition spike phenomena, phase 2, part 2, July 1 to September 30, 1966

Chemical analysis, physical properties, and combustion characteristics of hydrazine nitrat

Probabilistic micromechanics and macromechanics of polymer matrix composites

A probabilistic evaluation of an eight ply graphite-epoxy quasi-isotropic laminate was completed using the Integrated Composite Analyzer (ICAN) in conjunction with Monte Carlo simulation and Fast Probability Integration (FPI) techniques. Probabilistic input included fiber and matrix properties, fiber misalignment, fiber volume ratio, void volume ratio, ply thickness and ply layup angle. Cumulative distribution functions (CDFs) for select laminate properties are given. To reduce the number of simulations, a Fast Probability Integration (FPI) technique was used to generate CDFs for the select properties in the absence of fiber misalignment. These CDFs were compared to a second Monte Carlo simulation done without fiber misalignment effects. It was found that FPI requires fewer simulations to obtain the cumulative distribution functions as opposed to Monte Carlo simulation techniques. Furthermore, FPI provides valuable information regarding the sensitivities of composite properties to the constituent properties, fiber volume ratio and void volume ratio

Gathering Background Knowledge for Story Understanding through Crowdsourcing

Successfully comprehending stories involves integration of the story information with the reader\u27s own background knowledge. A prerequisite, then, of building automated story understanding systems is the availability of such background knowledge. We take the approach that knowledge appropriate for story understanding can be gathered by sourcing the task to the crowd. Our methodology centers on breaking this task into a sequence of more specific tasks, so that human participants not only identify relevant knowledge, but also convert it into a machine-readable form, generalize it, and evaluate its appropriateness. These individual tasks are presented to human participants as missions in an online game, offering them, in this manner, an incentive for their participation. We report on an initial deployment of the game, and discuss our ongoing work for integrating the knowledge gathering task into a full-fledged story understanding engine

Toward a Theory of Public Entrepreneurship

This paper explores innovation, experimentation, and creativity in the public domain and in the public interest. Researchers in various disciplines have studied public entrepreneurship, but there is little work in management and economics on the nature, incentives, constraints and boundaries of entrepreneurship directed to public ends. We identify a framework for analyzing public entrepreneurship and its relationship to private entrepreneurial behavior. We submit that public and private entrepreneurship share essential features but differ critically regarding the definition and measurement of objectives, the nature of the selection environment, and the opportunities for rent-seeking. We describe four levels of analysis for studying public entrepreneurship, provide examples, and suggest new research directions.Entrepreneurship, public administration, political economy, institutions, transaction costs