## An introduction to the use of simultaneous-equation regression analysis in geography |

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0LS estimates 3SLS assumption asymptotic ation autocorrelation average family income classical least squares computational dependent variable direct function disturbance term Econometric econometricians economic employment change endogenous variables equa equation system example exogenous function of out-migration gold occurrence Greenwood gression heteroscedastic homoscedasticity identifiable in-migration income change independent interaction interdependence inverse function just-identified labour force least squares regression Manitoba matrix maximum likelihood MIGRATI0N M0DEL migration model modern geography multiple regression NATINC normally distributed order condition over-identified parameter estimates polyarchy population change population growth equation predetermined variables Principal components analysis priori problem procedure proportionality shift rank condition rank criterion reduced form regressand regression analysis regression coefficients regressors relationships rural S-E models S-E regression sample second stage significant simultaneous equations single-equation spatial statistical step stochastic element structural equations target equation techniques in modern tion trend surface analysis TSLS estimation Two-Stage Least Squares UNEMP urban variables present variance vector