THE IMPACT OF TAXABLE MUNICIPAL BONDS: POLICY SIMULATIONS WITH A LARGE ECONOMETRIC MODEL

1973 ◽  
Vol 26 (1) ◽  
pp. 29-42 ◽  
Author(s):  
PETER FORTUNE
2009 ◽  
Vol 24 (4) ◽  
pp. 214-222 ◽  
Author(s):  
Jeffrey D. Kline ◽  
Alissa Moses ◽  
David Azuma ◽  
Andrew Gray

Abstract Forestry professionals are concerned about how forestlands are affected by residential and other development. To address those concerns, researchers must find appropriate data with which to describe and evaluate rates and patterns of forestland development and the impact of development on the management of remaining forestlands. We examine land use data gathered from Landsat imagery for western Washington and evaluate its usefulness for characterizing low-density development of forestland. We evaluate the accuracy of the satellite imagery‐based land use classifications by comparing them with other data from US Forest Service's Forest Inventory and Analysis inventories and the US census. We then use the data to estimate an econometric model describing development as a function of socioeconomic and topographic factors and project future rates of development and forestland loss to 2020. We conclude by discussing how best to meet the land use data needs of researchers, forestry policymakers, and managers.


2016 ◽  
Vol 12 (7) ◽  
pp. 331 ◽  
Author(s):  
Alush Kryeziu

In this paper will be discussed the main concepts and trends of the macro-fiscal indicators in economic growth, as well as their importance in the economic development of different countries, with special emphasis in Kosovo. One of the aims of this paper is to define and explain the connection between macroeconomic indicators with specific emphasis: the public debt, budget deficit and inflation on economic growth. In order to analyze this impact of variables in economic growth, the targeted time period of research is the period from 2004 to 2014. While the data taken regarding Kosovo were obtained from the year 2005, due to the fact that earlier the data have been limited because of the developments in which Kosovo went through. The model that best represents the link between macro-fiscal indicators on economic growth is the linear regression as an econometric model. We will have the opportunity to see and interpret these data. The overall results have emerged in accordance with theoretical discussions presented, but this relationship has not turned out to be very strong because the coefficients acquired did not have great explanatory skills for economic phenomena.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dominic Loske ◽  
Matthias Klumpp

PurposeTechnological advances regarding artificial intelligence (AI) are affecting the transport sector. Although fully autonomous delivery, or self-driving trucks, are not operating currently, various AI applications have become fixed components of cargo vehicles. Since many research approaches primarily concentrate on the technical aspects of assistance systems (ASs), the economic question of how to improve efficiency is seldom addressed. Therefore, the purpose of this paper is to apply an efficiency analysis to measure the performance of truck drivers supplying retail stores.Design/methodology/approachFor this comparative study, 90 professional truck drivers in three groups are compared with (1) trucks without AS, (2) trucks with AS that cannot be turned off and (3) trucks with AS that can be turned off. First, we build a model investigating the impact of performance expectation, effort expectation, social influence and facilitating conditions on the behavioural intention to use AS. Second, we explore the impact of truck drivers' behavioural intention on actual technology use, misuse and disuse; operationalize these constructs; and merge them with our behavioural constructs to create one econometric model.FindingsThe human–AI system was found to be the most efficient. Additionally, behavioural intention to use ASs did not lead to actual usage in the AI-alone observation group, but did in the human–AI group. Several in-depth analyses showed that the AI-alone group used AS at a higher level than the human–AI group, but manipulations through, for example, kickdowns or manual break operations led to conscious overriding of the cruise control system and, consequently, to higher diesel consumption, higher variable costs and lower efficiency of transport logistical operations.Research limitations/implicationsEfficiency analysis with data envelopment analysis is, by design, limited by the applied input and output factors.Originality/valueThis study represents one of the first quantitative efficiency analyses of the impact of digitalization on transport performance (i.e. truck driver efficiency). Furthermore, we build an econometric model combining behavioural aspects with actual technology usage in a real application scenario.


Res Publica ◽  
2004 ◽  
Vol 46 (1) ◽  
pp. 6-32
Author(s):  
Kurt Vandaele

This article explains the ebb and flow in Belgian trade union membership from 1946 to 1995 by replicating the econometric model by Bain and Elsheikhn in which changes in macro-economic variables are highly significant. Since the automatic indexation of wages and the extension of collective labour agreements invite free riding, the relevance of the change in inflation and real wage is quite striking. However, the free riding-effect is slowed down by the institutionalised presence of the trade unions on the work floor. The Ghent system explains the positive impact of the unemployment rate . The model is furthermore improved by the trade union density as a structural variable. The linear form reflects the enforcement effect, while the quadratic form mirrors the saturation effect on the trade union membership. Mainly due to the 'Allgemeinkoalitionsfähighkeit' of the Belgian government system, the impact of left parties on union growth and decline is not significant in a quantitative framework. With only four explanatory variables the model clarifies more than 75% of the fluctuations in Belgian trade union membership.


2014 ◽  
Vol 1 (2) ◽  
Author(s):  
Tarmizi Gadeng

The main objective of this study is to find out the impact of the inflation rate,percapita income as wall as the interest rate on the household comsumption of the population of Aceh.Secondary data 1983 – 2008 are collected or couning from various ageucig and instution and ordinary least square econometric model used as a method of analysis.            The result of the study tells us that the rate of inflation and the percapita income hare positive and significoutly effect on the household consumtion while the rate of interest on the other hand statistically has a negative and not significant effect on the house hold consumption. The interest rate which reflect the influence of the consumption has a positive, not significantly and in elactic. 


Author(s):  
Haisen Wang ◽  
Gangqiang Yang ◽  
Jiaying Qin

Based on the panel data of 106 cities in the Yangtze River Economic Belt of China from 2007 to 2016, this paper explores the impact of city centrality on the green innovation efficiency and proves the mediation effect of migrants by using spatial econometric model. The results show that there are more and more innovation contacts between cities, and the innovation network is becoming more and more dense. The core cities of the downstream innovation network are mainly Yangzhou, Zhenjiang, Wuxi, Changzhou, Suzhou and Hangzhou; the core cities in the midstream are mainly Wuhan, Changsha and Yichun; the core cities in the upstream are Chengdu and Bazhong. There is an inverted U-shaped relationship between city centrality and green innovation efficiency. In addition, the influence curve of city centrality on the green innovation efficiency of surrounding cities is also inverted U-shaped. Cities with high city centrality attract a large number of migrants that come from cities with lower centrality to improve the green innovation efficiency, but the green innovation efficiency of cities with low city centrality will decline due to lack of talents.


2012 ◽  
Vol 41 (3) ◽  
pp. 377-390 ◽  
Author(s):  
Jorge Fernandez-Cornejo ◽  
Seth Wechsler

This study examines the impact of adopting Bt corn on farm profits, yields, and insecticide use. The study employs an econometric model that corrects for self-selection and simultaneity. The model is estimated using nationwide farm-level survey data for 2005. Regression analysis confirms that Bt adoption is associated with increased variable profits, yields, and seed demand. However, the results of this analysis suggest that Bt adoption is not significantly related to insecticide use. This result may be due to the fact that insect infestation levels were lower in 2005 than they were in previous years.


1999 ◽  
Vol 2 (3) ◽  
pp. 509-522
Author(s):  
Charles C. Okeahalam

The Reconstruction and Development Programme (RDP) is an attempt by the South African government to redress the imbalances of apartheid. It has many facets. One of these involves the provision and distribution of infrastructure to citizens who hitherto have been neglected. This calls for significant construction effort particularly for housing, water, roads and other social construction. This will require efficient production, and allocation of resources to ensure that there is adequate supply of materials to meet the likely increase in demand. This paper examines the expected demand for construction materials, assesses the supply capacity of South African suppliers of construction materials, and develops an econometric model which can be used to evaluate the impact that growth of the internal construction activity will have on construction industry suppliers.


1969 ◽  
Vol 24 (4) ◽  
pp. 742
Author(s):  
E. Philip Howrey ◽  
Gary Fromm ◽  
Paul Taubman

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