The basic difference is that exogeneous variables are fully determined outside the system, but predetermined variables are not. Think of an equation where you have some lagged variables that are independent of subsequent error terms (e.g.consumption in the current period depends on some functional that includes the consumption of the previous period). We could say that the lagged variable was already determined in the period before. Asymptotically predetermined variables can be treated as exogeneous.
Predetermined variables are determined by factors in the past and cannot be changed, while exogenous variables are determined by factors outside the model being analyzed. Predetermined variables are considered to be endogenous in the context of a model, while exogenous variables are considered to be exogenous.
The primary difference is that in an experiment, the researcher actively manipulates or controls one or more variables to observe the effect on another variable, while in an observational study, the researcher simply observes and records data without intervening or controlling any variables. Experiments allow for more control over variables and can establish cause-and-effect relationships, while observational studies can only establish correlations.
Internal variables are those that are within the control or influence of the system or entity being studied, while external variables are those that are outside of its control or influence. Internal variables are typically more easily manipulated in an experiment, while external variables are often more difficult to control for.
Cross-sectional research studies a group of individuals at one specific point in time to understand relationships or differences between variables. Longitudinal research, on the other hand, involves studying the same group of individuals over an extended period to track changes and development in variables of interest.
Cause variables are factors that directly influence or produce an effect on another variable. Effect variables are outcomes or results that are influenced by the cause variables. Understanding the relationships between cause and effect variables helps to analyze and predict how changes in one variable impact another.
Strengths: Correlational methods allow researchers to identify relationships between variables and make predictions, are less invasive than experimental methods, and can be used to generate hypotheses for further research. Weaknesses: Correlational studies cannot establish causal relationships between variables, are prone to third-variable problems and confounding variables, and may be limited by the quality of the measures used.
The endogenous variables value is established by the conditions of the other variables in the structure. The exogenous variables value in independent of the conditions of the other variables in the structure. The difference between the endogenous and exogenous variables is the endogenous depends solely on the structure and the exogenous depend on outside elements.
Endogenous variables are important in econometrics and economic modeling because they show whether a variable causes a particular effect. Economists employ causal modeling to explain outcomes (dependent variables) based on a variety of factors (independent variables), and to determine to which extent a result can be attributed to an endogenous or exogenous cause.
'''Exogenous''' (or exogeneous) (from the [[wiki/Greek language|Greek]] words "exo" and "genis", meaning "outside" and "generated") refers to an action or object coming from outside a system. It is the opposite of [[wiki/Endogenous|endogenous]], something generated from within the system.
Endogenous disease is when the cause is within the body and not outside the body.(eg. appendicitis) Exogenous disease has trigger source outside the body. (eg. infections)
Endogenous disease is when the cause is within the body and not outside the body.(eg. appendicitis) Exogenous disease has trigger source outside the body. (eg. infections)
Endogenous disease is when the cause is within the body and not outside the body.(eg. appendicitis) Exogenous disease has trigger source outside the body. (eg. infections)
The difference between continuous and discrete system lies in the variables. Whereas the continuous systems have dynamic variables, the discrete system have static variables.
Endogenous is internal, biological and somatic Exogensous is externally caused - environmental
Literals are constants.
Nothing.
difference between constant and static variables in java
a variable changes a rule doesnt.