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    Causal inference is the process of determining the independent, actual effect of a particular phenomenon. The main difference between causal inference and inference of association is that causal inference analyzes the response of an effect variable when a cause of the effect variable is changed. Econometrics is an application of statistical methods to economic data in order to give empirical content to economic relationships. More precisely, it is "the quantitative analysis of actual economic phenomena based on the concurrent development of theory and observation, related by appropriate methods of inference". While Microeconometrics regards econometrics applied to family and individual people.
    I'm a Ph.D. in Social Sciences, I will teach the topics that adjust to your needs. -Theories and practical applications - Practice focused on exam topics for students - We can solve your assignments together Miroeconomics: -types of goods -utility curves -opportunity cost -etc Macroeconomics -inflation -unemployment -interest rates -foreign exchange rates -etc

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