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COBBDOUGLAS SPLINE PRODUCTION FUNCTIONS
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APPLICATIONS OF SPLINE approximation Barzel bilinear chapter Cobb-Douglas spline production coefficient of determination consider control variable corresponding defined dependent variable derivatives desired level discussed disturbance term dummy variables economic Empirical Application end conditions expansion path expected loss Figure firm func given government spending grid line Hence implies input isoquants jump discontinuities knots likelihood function linear spline marginal cost matrix mesh minimization misspecification error money multiplier normally distributed nth degree observations output elasticity parameters period T+l periodic cubic spline piecewise polynomial spline prediction interval problem profit rates quadratic loss function quadratic spline loss real city expenditures rectangle i,j Regime regression analysis representation respect returns to scale Sample Section segments simple slope spline functions spline loss function spline production function spline theory step function stochastic structural change t-Ratios Table target value Theorem thesis tion transaction costs transformed variables unknown variance vector Winning Speed zero mean