Demand for cash: an econometric model of currency demand in India

2020 ◽  
Vol 13 (2) ◽  
pp. 205-222 ◽  
Author(s):  
Anirudh Tagat ◽  
Pushpa L. Trivedi
Keyword(s):  
Econometric Model ◽  
Currency Demand

Determinants of Household Currency Demand in Turkey

2020 ◽  
Vol 6 (55) ◽  
pp. 374-391
Author(s):  
Atilla GÖKÇE
Keyword(s):  
Currency Demand

A Simple Inter-Industry Model of Pakistan, with an Application to Pakistan's Sixth Five-Year Plan

1985 ◽  
Vol 24 (3-4) ◽  
pp. 531-550 ◽  
Author(s):  
Suleiman I. Cohen ◽  
Ivo C. Havinga ◽  
Mohammad Saleem
Keyword(s):  
Econometric Model ◽  
Social Accounting Matrix ◽  
Social Activities ◽  
Input Output ◽  
Social Accounting ◽  
Output Table ◽  
The Social ◽  
Market Relations ◽  
Industry Relations ◽  
Current Modelling

The macro-econometric model of Pakistan's economy by Naqvi et al. (3) is the first completed work in a renewed effort to model significant economic and social activities and issues in Pakistan. One of the current modelling efforts in which the authors are participating aims at combining elements from the macro-econometric model, inter-industry relations, factor market relations, and social accounting frameworks. This effort is now made possible by the compilation of the relevant statistics relating to an input-output table and the social accounting matrix ....................................................................................................

scholarly journals Evaluating Satellite Imagery‐Based Land Use Data for Describing Forestland Development in Western Washington

2009 ◽  
Vol 24 (4) ◽  
pp. 214-222 ◽  
Author(s):  
Jeffrey D. Kline ◽  
Alissa Moses ◽  
David Azuma ◽  
Andrew Gray
Keyword(s):  
Land Use ◽  
Satellite Imagery ◽  
Econometric Model ◽  
Landsat Imagery ◽  
Forest Inventory And Analysis ◽  
The Us ◽  
Western Washington ◽  
Us Census ◽  
The Impact ◽  
Density Development

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.

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