The Exports Demand Equation

2017 ◽  
pp. 221-228
Author(s):  
John J. Heim
Keyword(s):  
Demand Equation

A mill-specific roundwood demand equation for southern and central Finland

2005 ◽  
Vol 11 (2) ◽  
pp. 95-106
Author(s):  
Olaf Schwab ◽  
Gary Bull ◽  
Thomas Maness
Keyword(s):  
Demand Equation

scholarly journals An Empirical Analysis of Substitution Between Engineers and Technicians in Canada

2005 ◽  
Vol 25 (2) ◽  
pp. 284-301 ◽  
Author(s):  
Michael L. Skolnik
Keyword(s):  
Empirical Study ◽  
Empirical Analysis ◽  
Census Data ◽  
Educational Planning ◽  
Equation Model ◽  
Demand Equation ◽  
Derived Demand

The author analyzes substitution between engineers and technicians through the application of a derived demand equation model to 1961 Census data and concludes that there is considerable substitution between these groups. The conclusion is qualified by noting certain weaknesses of the data. The results should be viewed in the context of the importance of substitution for manpower and educational planning and the lack of empirical study to date.

scholarly journals Market Power And Efficiency Of Commercial Banks In Indonesia

2019 ◽  
Vol 23 (1) ◽  
pp. 133
Author(s):  
Eny Susilowati, Budi Purwanto, Wita Juwita Ermawati
Keyword(s):  
Data Envelopment Analysis ◽  
Interest Rate ◽  
Market Power ◽  
Commercial Banks ◽  
Least Square ◽  
Data Envelopment ◽  
Good Efficiency ◽  
Demand Equation ◽  
Lending Rates ◽  
Model Market

In order to encourage credit growth that experienced sluggishness from 2012 to 2016, Bank Indonesia sought to increase lending by lowering the benchmark interest rate so that it could be followed by a decline in lending rates by banks in Indonesia. But this is thought to cause competition to become a low oligopoly and decrease efficiency. This study aims to determine the factors that affect the amount of credits paid, estimating the market power and efficiency of commercial banks in Indonesia for the 2012-2016 period. Efficiency method used is Data Envelopment Analysis, while to estimate market power using two stage least square. The results of the demand equation show GDP and WCCR_GDP have no significant effect while the rest variables have significant effect. From the two equations using Bresnahan-Lau’s model, market power is 0.231. Efficiency measurement obtained a good efficiency scale even reaching 100% in 2013, 2015 and 2016.

scholarly journals Equivalence Scale in Terms of Polish Households' Source of Income

2012 ◽  
Vol 10 (2) ◽  
pp. 114-127 ◽  
Author(s):  
Paweł Ulman
Keyword(s):  
Well Being ◽  
Equivalence Scales ◽  
Function Estimation ◽  
Demand Equation ◽  
Maintenance Costs ◽  
Linear Expenditure System ◽  
Equivalence Scale ◽  
Expenditure System

Equivalence Scale in Terms of Polish Households' Source of Income The paper presents a comparison of the costs of Polish households by their main source of income. In order to compare these costs the author estimated three kinds of equivalence scales using the Engel method, ELES (Extended Linear Expenditure System), the demand equation and the Bernoulli well-being function. Estimation for household groups determined on account of the main source of income produced by the scales confirmed differences in households' maintenance costs compared to the costs of the reference household. A comparison of the values of equivalence scales revealed a similarity of the results produced by the ELES and the Bernoulli methods which differed from the results obtained by means of the Engel method.

On the Necessity of Simultaneous Recreation Demand Equation Estimation

1982 ◽  
Vol 58 (4) ◽  
pp. 547 ◽  
Author(s):  
John G. Hof ◽  
David A. King
Keyword(s):  
Recreation Demand ◽  
Demand Equation

scholarly journals Impacts of Highway Infrastructure Investment Under the American Recovery and Reinvestment Act

2016 ◽  
Author(s):  
Seong-Hoon Cho ◽  
Daegoon Lee ◽  
Dayton M. Lambert ◽  
Roland K. Roberts
Keyword(s):  
Infrastructure Investment ◽  
Net Benefit ◽  
Vehicle Miles Traveled ◽  
Spatial Durbin Model ◽  
Demand Equation ◽  
Highway Infrastructure ◽  
Demand Curves ◽  
Net Benefits ◽  
The Impact

This study evaluated the impact on highway demand of highway disbursements under the American Recovery and Reinvestment Act (ARRA). Vehicle miles traveled were used to estimate a highway demand equation employing a spatial Durbin model for the 48 contiguous U.S. states during 1994-2008. Estimates from the equation were used to test the hypothesis that highway disbursements caused different upward shifts in the highway demand curves of states. We estimated $8.2 billion in total net benefits for the 48 states as a result of the $27.2 billion in ARRA highway disbursements, yielding an average net benefit of $0.30 per dollar spent.

scholarly journals An econometric model for demand of pulpwood market in Brazil

2020 ◽  
pp. 1102-1108
Author(s):  
Humberto Angelo ◽  
Tomas V. Angelo ◽  
Alexandre N. de Almeida ◽  
Pedro G. A. Vasconcelos ◽  
Mauro Magliano ◽  
...  
Keyword(s):  
Sustainable Management ◽  
Econometric Model ◽  
Least Squares Method ◽  
Ordinary Least Squares ◽  
Planted Forests ◽  
Demand Equation ◽  
Pulp Industry ◽  
The World ◽  
Installed Capacity ◽  
Ordinary Least Squares Method

The pulp industry has a great importance to the economy of Brazil and despite of being one of the biggest producer in the world this industry is still expanding in the country. In spite of the importance of the planted forests as main source for the pulp industry and other products, pulpwood for the cellulose market has received little attention in Brazil. Therefore, the objective of this research is the study of pulpwood demand in Brazil from 1994 to 2016, using econometric tools, where the demand equation was specified and adjusted by the Ordinary Least Squares method. The results showed that pulpwood price and the capacity of the pulp industry explain the pulpwood demand with good econometric results. The pulpwood demand is inelastic to price fluctuations and elastic to installed capacity. These results are consistent with the international estimations and they can assist projecting policies that promote more rational and sustainable management of the wood and consequently the forests.

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