variables by providing a di-agnostic test of linearity of the underlying process under endogeneity, developing an estimation procedure and a misspecification test for the STR model, presenting the results of Monte Carlo simulations to show the usefulness of the model and estimation method, and providing

Let y be a vector endogenous variables and let w be a vector of covariates, parameters and errors or unobservables that together are assumed to determine y. A structural model y = H(y,w) is complete and coherent if it has a well defined reduced form, meaning that for any value of w there exists a

Estimating the impact of economic conditions on the likelihood of civil conflict is difficult because of endogeneity and omitted variable bias. We use rainfall variation as an instrumental variable for economic growth in 41 African countries during 1981–99. Growth is strongly negatively related

Estimation in models with endogeneity concerns typically begins by searching for instruments. This search is inherently subjective and identification is generally achieved upon imposing the researcher’s strong prior belief that such variables have no conditional impacts on the outcome. Results

Abstract Most researchers in accounting use models having dummy independent variables to divide the research objects into two or more groups of objects or individuals. In other researches, they employ more than one variable in the model. However, the dummy variable(s) that stand alone may

Abstract not found

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It is far from unusual for a multilevel model to contain a regressor that can be regarded as an endogenous variable. The term endogeneity as opposed to exogeneity is a familiar term in econometrics. Often it manifests itself by explanatory variable being subject to the same influences

In this paper various methods for the estimation of simultaneous equation models with lagged endogenow variables and List order s&fly correlated errors are discussed. The m.&ods dilfer in tbe number of instrumental variables used. The asymptotic and small sample properties of the various

We introduce flat systems, which are equivalent to linear ones via a special type of feedback called endogenous. Their physical properties are subsumed by a linearizing output and they might be regarded as providing another nonlinear extension of Kalman’s controllability. The distance to flatness