Inflation, Stagflation, Relative Prices, and Imperfect Information

1986 ◽  
Vol 52 (4) ◽  
pp. 1201
Author(s):  
Kishore Kulkarni ◽  
Alex Cukierman
Keyword(s):  
Imperfect Information ◽  
Relative Prices

Inflation, Stagflation, Relative Prices, and Imperfect Information.

Economica ◽  
1986 ◽  
Vol 53 (210) ◽  
pp. 270
Author(s):  
Nigel W. Duck ◽  
Alex Cukierman
Keyword(s):  
Imperfect Information ◽  
Relative Prices

Inflation, Stagflation, Relative Prices and Imperfect Information.

1985 ◽  
Vol 95 (380) ◽  
pp. 1111
Author(s):  
Anthony A. Sampson ◽  
Alec Cukierman
Keyword(s):  
Imperfect Information ◽  
Relative Prices

Inflation, Stagflation, Relative Prices, and Imperfect Information

1986 ◽  
Vol 18 (4) ◽  
pp. 551
Author(s):  
B. Dianne Pauls ◽  
Alex Cukierman
Keyword(s):  
Imperfect Information ◽  
Relative Prices

Economic models of Environment monitoring under imperfect information and high Costs

2014 ◽  
pp. 99-122
Author(s):  
M. Levin ◽  
K. Matrosova
Keyword(s):  
Environmental Monitoring ◽  
Environmental Regulation ◽  
Environmental Economics ◽  
Imperfect Information ◽  
Central Element ◽  
Economic Models ◽  
Environment Monitoring ◽  
Nature Protection ◽  
Protection Measures ◽  
Effective System

The paper considers monitoring of environmental change as the central element of environmental regulation. Monitoring, as each kind of principalagent relations, easily gives rise to corruptive behavior. In the paper we analyze economic models of environmental monitoring with high costs, incomplete information and corruption. These models should be the elements of environmental economics and are needed to create an effective system of nature protection measures.

Competitive and Complementary Relations in International Travel: The Case of British Travel to Cyprus

2019 ◽  
Vol 10 (5) ◽  
pp. 395-420
Author(s):  
Petros Anastasopoulos ◽  
Keyword(s):  
Strong Association ◽  
International Travel ◽  
Relative Price ◽  
Annual Data ◽  
Export Demand ◽  
Relative Prices ◽  
Vector Error Correction ◽  
Vector Error ◽  
The Mediterranean ◽  
Demand Equations

This is an econometric analysis of demand for travel to Cyprus by Britons. We examined the competitive and complementary relations between travel to Cyprus and other well-established travel destinations in the Mediterranean basin. Because many package tours include several countries in their destinations within a given journey, and because individual travelers find it more advantageous to visit more than one country in a single trip, it may be meaningful to examine international travel within the contest of groups of countries rather than a single country competing for international travelers. Specifically, we provide an analysis of the competitive and complementary relations existing between the tourism sectors of Cyprus and that of Greece, Spain and Portugal for British travelers. We provide estimates of income and relative price elasticities based of export demand equations upon annual data from 1980-2016. We tested for the stationarity of the variables and derived estimates of the Vector Error Correction Model (VECM). These tests confirm a strong association between the incomes of Britons and their decision to travel to Cyprus. Furthermore, we show the relative prices between Cyprus and other competing destinations in the Mediterranean to play an important role in determining British travel to Cyprus.

“Analytical Techniques for Development Planning” (A Review Of Tims' Multisector Model For Pakistan'S Third Plan (1965-70))

1968 ◽  
Vol 8 (2) ◽  
pp. 240-263
Author(s):  
Azizur Rahman Khan
Keyword(s):  
Analytical Techniques ◽  
Development Planning ◽  
General Idea ◽  
Relative Prices ◽  
Scarce Resources ◽  
Sectoral Output ◽  
Consistency Model ◽  
Present Decade ◽  
Optimizing Model ◽  
Multisector Model

In the present decade there has been a great proliferation of multisectoral models for planning. Part of the incentive has certainly been the potentiality of their application in formulating the actual plans. By now there have been so many different types of multisectoral models that it is useful to attempt some kind of classification according as whether or not they embody certain well-known features. The advantage of such a classification is that one gets a general idea about the structure of the model simply by knowing where it belongs in the list of classification. One broad principle of classification is based on whether the model simply provides a consistent plan or whether it also satisfies some criteria of optimality. A multisectoral consistency model provides an allocation of the scarce resources (e.g., investment and foreign exchange) in such a way that the sectoral output levels are consistent with some given consumption or income target, consistency in this context meaning that the supply of each sector's output is matched by demand generated by intersectoral and final use at base-year relative prices. To the extent that the targets are flexible, there may be many such feasible plans. An optimizing model finds the "best" possible allocation of resources among sectors, the "best" being understood in the sense of maximiz¬ing > a given preference function subject to the constraints that ensure that the plan is also feasible.

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