# IEcoS (Economic Services) Economics Paper-1: Questions 78 - 81 of 85

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## Question number: 78

» Quantitative Methods in Economics » Mathematical Methods in Economics » Linear Algebra and Linear Programming and Input-Output Model

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Appeared in Year: 2016

Essay Question▾

### Describe in Detail

Define heteroscedasticity.

### Explanation

One of the important assumptions of the classical linear regression model is that the variance of each disturbance term, conditional on the chosen values of the explanatory variables, is some constant number equal to.

This is the assumption of homoscedasticity or equal (homo) spread (scedasticity), that is, equal variance

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## Question number: 79

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Appeared in Year: 2016

Essay Question▾

### Describe in Detail

Consider the utility function as, where and are two commodities on which the consumer spends his entire income of the month. Let the price per unit of and be Rs. 40 and Rs. 16 respectively and the monthly income of the consumer be Rs. 4,000. Find out the optimal quantities of and .

### Explanation

Eq = m of budget line; (M = income) using Lagrangian method, we get

Let it be Lagrangian multiplier

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## Question number: 80

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Appeared in Year: 2014

Essay Question▾

### Describe in Detail

Consider a manufactured good whose production process generates pollution. The annual demand for the good is given by . The annual market supply is given by. In both equations, P is the price in rupees per unit. For every unit of output produced, the industry emits one unit of pollution. The marginal damage from each unit of pollution is given by 2Q.

(a) Find the equilibrium price and quantity in a market with no government intervention.

(b) Find the socially optimal quantity of the good. What is the socially optimal market price?

### Explanation

Marginal damage per unit of production

Thus, without govt. intervention

a)

At this,

Therefore,

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## Question number: 81

» Quantitative Methods in Economics » Mathematical Methods in Economics » Linear Algebra and Linear Programming and Input-Output Model

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Appeared in Year: 2014

Essay Question▾

### Describe in Detail

What is the problem of multicollinearity m a regression model? What is its plausibility? Explain Farrar - Glauber method to detect it. How can it be removed?

### Explanation

The term Multicollinearity is due to Ragnar Frisch. Originally it meant the existence of a “perfect, ” or exact, linear relationship among some or all-explanatory variables of a regression model. For the k-variable regression involving explanatory variable (where for all observations to allow fo

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