Quantitative analysis in economics refers to the use of mathematics and statistic in economic analysis. In early days, economics was considered to be wholly a non-mathematical science.
Quantitative analysis in economics helps in making a decision. Quantitative analysis is that number, symbols or mathematical formula or expression which are used to represent the model of reality.
In early days, economics was considered to be wholly a non-mathematical science. Economics is concerned with the use of scarce resources to produce commodities and distribute them among the different sections such as workers, traders, farmers, entrepreneurs, etc of society. But it is quite easy to put them in concise mathematical forms. The central aspects of economic theory can be stated as a functional relationship among variables using the mathematical and statistical tools. Mathematics and statistics are formed to be best for a scientific approach to economics.
Quantitative techniques have two aspects namely 'Mathematical Aspects' and 'Statistical Aspect'.
Use of Mathematics in Economics
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The use of mathematics in economics put the literary form of economic theory into mathematical language. Mathematics are suitable for developing theories and models in economics. Mathematical symbols can be used instead of terms and equations instead of sentences.
The followings are the uses of mathematical in economics field:
To determine economic function Function plays an important role in deriving different economic functions. It can be represented by an equation or graph. For Example, Demand function = Qdx : a+bPx Qsx: a + bPx Consumption function = C : a+bYd
To determine equilibrium price An equilibrium price is determined at a price where the market demand is equal to the market supply. For example, Demand function, Qdx= 100-5Px Supply function, Qsx = 10+5Px Then, at equilibrium, Qdx = Qsx or, 100-5Px = 10+5Px \(\therefore\)Px = Rs 9 (equilibrium price)
To compute marginal economic values Marginal analysis of economic variables is closely related to different calculus. All marginal concepts can be expressed as derivatives or ratios. For example, Marginal Product (MP) = \(\frac{Change \:in\: total\: product}{Change\: in\: units\: of\: labour}\) = \(\frac{\triangle TP}{\triangle L}\) = \(\frac{dTP}{dL}\) Marginal Utility (MU) = \(\frac{Change\: in\: total\: utility}{Change\: in\: units\: of\: consumption}\)= \(\frac{\triangle TU}{\triangle Q}\) = \(\frac{dTU}{dQ}\)
To compute total economic values All economic functions in aggregate form can also be computed with the help of integration. For example, Total Utility (TU) = MU Total Product (TP) = MP
To solve problems of optimization All business firms and household have optimization problems. These problems can be solved with the equation, inequalities, linear programming and so on.
Use of Statistics in Economics
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We use statistics to do empirical studies in economics. we can estimate required function by using statistical tools and technique. It also helps to estimate an economic parameter that measures the effect of one variable to another.
The followings are the uses of statistics in an economics field:
To study the consumption pattern and standard of living Consumption statistics reveals the pattern of the consumption of the various commodities by different sections of the society and also enable us to have some idea about their purchasing capacity and their standard of living.
To solve production related economic problems Production statistics is very useful in solving basic economic problems which have risen due to the scarce of resources and also help in the adjustment market supply to the market demand.
To study the process of pricing Exchange statistics reflects upon the process of pricing regarded to maximize the profit of business firms or to promote consumer's welfare.
To study the nature and process of income distribution Statistics play a prominent role while distributing the national income and calculated.
To formulate and evaluate economic policies Statistical methods are very useful to formulate economic policies. They also evaluate the effectiveness of these policies.
Means of economic planning The statistical method helps as a tool of economic planning. It evaluates the achievement and problems of the previous plan.
Basis of economic models and functions These help in the building economic models and function.