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"This paper presents a new approach to analyze the Grants Economy using a Grant Originating formula (GO for short) to calculate the net flows by sectors"--Preface.
The purpose of this paper is to add a new perspective to the analysis of public grants by examining the Canadian data on a net outflows basis between the donor and donee sectors of the economy. Gross public grant outflows to any sector of the economy should be netted against the grant inflows from the same donnee sector before evaluating and commenting on the gross public grant outflows. The net grant outflow calcultated in this manner for any sector of the economy can also be called "Grant Originating " (GO).
This paper presents a preliminary manual for "A System of Grant Accounts", so that, if the system is implemented by statistical agencies, a reliable database on grant transactions can be developed and made available through official publications for economic analysis. The manual outlines the System of Grant Accounts (SGA for short) and covers concepts, classification, a framewok and procedures needed to compile grants data at the macro level for the four main sectors of the economy (i.e., Persons, Business, Government and Non-Residents) and summarizes the sectoral transactions into a set of nine standard analytical tables. These tables are aimed at producing sectoral grants data showing the gross and net flows for both domestic and international transactions of the economy. They will help to answer crucial questions such as who is giving grants, who is receiving them, and what is the net outflow from the donors to the donees. The manual also introduces a new approach of analyzing grant net flows by a Grant Originating formula (GO for short) and applies it to the four sector model. The four sector model used here is the same as the one used in the System of National Accounts, so that consistency in the sectoral data can be maintained between the exchange economy measured in the System of National Accounts (SNA) and grants economy measured in the System of Grant Accounts (SGA). The two systems are complementary to each other and they represent the total macro-economic analytical framework by providing vital statistical information to researchers regarding exchange economy on the one hand in the SNA and about the grants economy on the other hand in the SGA. The availability of database for the total economy as well as for the grants economy within a constant sectoral framework will enable researchers to focus more attention to the grants and their analysis. The database will also be useful to the policy makers to evaluate the effectiveness of the income redistribution transactions in the economy
Economic growth is often not distributed uniformly across a country or state. This provides obligation to governments to provide assistance, such as grants, to reduce economic inequality between subregions. This thesis investigates how the allocation of Ohio state grant funding impacts economic development between counties. Data were retrieved from archival data sets available between the years 2010 through 2014. The data were analyzed to consider the spatial interaction between counties as the economic activity within cities can impact the economic activity in surrounding rural areas (Henry & Drabenstott, 1996). First, an OLS regression was conducted for each year of data and analyzed to determine if spatial autocorrelation was present. Then, spatial effects were captured by conducting regressions utilizing the spatial error model, the spatial lag model, and the spatial Durbin model. The spatial models and OLS model were compared using their AIC and BIC values. The results suggest spatial regression was not preferred to OLS in modeling the impact of grant funding, in the years 2010 through 2014. Additionally, according to our model, grant funding over the 5-year period had a small and statistically non-significant impact on overall economic activity in Ohio. However, the results also indicate spatial regression will likely continue to become more important in the analysis of grant funding due to both the theoretical implications and the presence of growing spatial economic inequality. This study opens several avenues for future research such as the substitution of the one-year and 5-year growth rates of real GDP per capita for the dependent variable and investigating the trend of spatial autocorrelation in years after 2014.
Posing a major challenge to economic orthodoxy, Imperfect Knowledge Economics asserts that exact models of purposeful human behavior are beyond the reach of economic analysis. Roman Frydman and Michael Goldberg argue that the longstanding empirical failures of conventional economic models stem from their futile efforts to make exact predictions about the consequences of rational, self-interested behavior. Such predictions, based on mechanistic models of human behavior, disregard the importance of individual creativity and unforeseeable sociopolitical change. Scientific though these explanations may appear, they usually fail to predict how markets behave. And, the authors contend, recent behavioral models of the market are no less mechanistic than their conventional counterparts: they aim to generate exact predictions of "irrational" human behavior. Frydman and Goldberg offer a long-overdue response to the shortcomings of conventional economic models. Drawing attention to the inherent limits of economists' knowledge, they introduce a new approach to economic analysis: Imperfect Knowledge Economics (IKE). IKE rejects exact quantitative predictions of individual decisions and market outcomes in favor of mathematical models that generate only qualitative predictions of economic change. Using the foreign exchange market as a testing ground for IKE, this book sheds new light on exchange-rate and risk-premium movements, which have confounded conventional models for decades. Offering a fresh way to think about markets and representing a potential turning point in economics, Imperfect Knowledge Economics will be essential reading for economists, policymakers, and professional investors.
Goes beyond writing grant proposals to building an effective grant-seeking process.
A state-of-the-art guide for developing grants witha strong emphasis on using program outcome measurement to underscore need and accountability Based on the authors' many years of experience in the public and nonprofit sectors, Effective Grant Writing and Program Evaluation for Human Service Professionals integrates the topics of grant proposal writing and program evaluation, offering grant seekers the practical guidance they need to develop quality proposals, obtain funding, and demonstrate service results and accountability. The authors clearly and succinctly illustrate and describe each stage of the grant writing and evaluation process. Problems or issues that arise frequently are highlighted and followed by specific advice. In addition, numerous real-world examples and exercises are included throughout the book to give readers the opportunity for reflection and practice. This timely reference incorporates a strengths perspective, providing: An inside look at the grant writing and evaluation processes, with insights from experienced grant writers, agency administrators, foundation program managers, and grant reviewers Specific examples of successful grant proposals and evaluation plans and instruments serving as models for learning and practice Field-tested individual and group exercises that facilitate the development of grant writing and evaluation skills Discussion of electronic technology in grant writing and evaluation, including writing and submitting grant proposals online, and identifying funding sources This grant writing and program evaluation guide follows a needs-driven, evidence-based, result-oriented, and client-centered perspective. Its authoritative discussion equips human service professionals to effectively develop grants with a strong emphasis on measuring program outcomes.
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Originally published in 1976, this work attempted to establish the legitimacy of understanding economic behaviour in psychological terms. This revised edition stresses the fact that economic abundance does not necessarily lead to satisfaction, and includes new material on contemporary applications.