Add to ORKGThe problem of specification bias arising out of the omission of relevant variables in econometric relationships has been considered by various writers, notably by Griliches (1957, 1961), by Theil (1957, 1958) and by Wold and Faxer (1957). Some of the discussion is in terms of autocorrelation of residuals, whilst alternatively the effect of correlation between regressors and omitted variables forming part of the residual has been examined
Since observational data are often used and variables in real life are often correlated, correlation...
This paper introduces structural equations that do not satisfy the rank and/or order condition(s) fo...
We review, under a historical perspective, the development of the problem of nonfunda-mentalness of ...
The main cause of autocorrelation is omitted variables from the model. When an important independent...
In this paper, I discuss three issues related to bias of OLS estimators in a general multivariate s...
We aim to raise awareness of the omitted variable bias (i.e., one special form of endogeneity) and h...
It is well known that the omission of variables from a model with constant parameters can induce the...
1-1. In the analysis of. most time series it is customary to estimate the mean and the trend by fitt...
on this and related work. All errors, etc., remain the responsibility of the author. This paper rein...
Abstract: This paper investigates the effects of the omission of relevant variables from the statist...
Abstract. The parameter estimates based on an econometric equation are biased and can also be incons...
This paper investigates the effects of the omission of relevant variables from the statistical model...
F ollowing seminal work by Sims (1980a, 1980b), the economics profes-sion has become increasingly co...
Variable correlations are usually neglected during parameter estimation. Very frequently these are g...
Misspecifications of econometric models can lead to biased coefficients and incorrect interpretation...
Since observational data are often used and variables in real life are often correlated, correlation...
This paper introduces structural equations that do not satisfy the rank and/or order condition(s) fo...
We review, under a historical perspective, the development of the problem of nonfunda-mentalness of ...
The main cause of autocorrelation is omitted variables from the model. When an important independent...
In this paper, I discuss three issues related to bias of OLS estimators in a general multivariate s...
We aim to raise awareness of the omitted variable bias (i.e., one special form of endogeneity) and h...
It is well known that the omission of variables from a model with constant parameters can induce the...
1-1. In the analysis of. most time series it is customary to estimate the mean and the trend by fitt...
on this and related work. All errors, etc., remain the responsibility of the author. This paper rein...
Abstract: This paper investigates the effects of the omission of relevant variables from the statist...
Abstract. The parameter estimates based on an econometric equation are biased and can also be incons...
This paper investigates the effects of the omission of relevant variables from the statistical model...
F ollowing seminal work by Sims (1980a, 1980b), the economics profes-sion has become increasingly co...
Variable correlations are usually neglected during parameter estimation. Very frequently these are g...
Misspecifications of econometric models can lead to biased coefficients and incorrect interpretation...
Since observational data are often used and variables in real life are often correlated, correlation...
This paper introduces structural equations that do not satisfy the rank and/or order condition(s) fo...
We review, under a historical perspective, the development of the problem of nonfunda-mentalness of ...