Regression technique: model to predict causal relationship between variables

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Regression and Weighting Methods for Causal Inference Using Instrumental Variables

Recent researches in econometrics and statistics have gained considerable insights into the use of instrumental variables (IVs) for causal inference. A basic idea is that IVs serve as an experimental handle, the turning of which may change each individual’s treatment status and, through and only through this effect, also change observed outcome. The average difference in observed outcome relati...

متن کامل

An econometric technique to remove unobserved variables that bias the relationship between alcohol and blood pressure.

We use econometric techniques to consider whether the statistical association between drinking and blood pressure among men may be due, in part, to the constitutional hypothesis. The constitutional hypothesis holds that the same unobserved genetic or personality factors that affect blood pressure will affect the amount of alcohol consumed. Our sample is restricted to men because most investigat...

متن کامل

Using a Bigram Event Model to Predict Causal Potential

This paper addresses the problem of causal knowledge discovery. Using online screenplays, we generate a corpus of temporally ordered events. We then introduce a measure we call causal potential which is easily calculated with statistics gathered over the corpus and show that this measure is highly correlated with an event pair’s tendency of encoding a causal relation. We suggest that causal pot...

متن کامل

Using Iterative Ridge Regression to Explore Associations Between Conditioned Variables

We address a specific case of joint probability mapping, where the information presented is the probabilistic associations of random variables under a certain condition variable (conditioned associations). Bayesian and dependency networks graphically map the joint probabilities of random variables, though both networks may identify associations that are independent of the condition (background ...

متن کامل

An Empirical Analysis of Causal Relationship between Stock Market and Macroeconomic Variables in India

The present paper is aimed at studying the nature of the causal relationship between stock prices and macroeconomic variables in India, if any such relationship exists. For this purpose the techniques of unit– root tests, cointegration and the Granger causality test have been applied between the NSE Index ‘Nifty’ and the macroeconomic variables, viz., Real effective economic rate (REER), Foreig...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: International Journal of Community Medicine and Public Health

سال: 2016

ISSN: 2394-6032

DOI: 10.18203/2394-6040.ijcmph20162539