Farm couples' labour market responses are partly the qualitative choice of entering the ff-farm labour market and partly the continuous choice of the number of on-farm and off-farm working hours, given entry. Such a setting is interesting when examining the increasing occurrence of multiple...

In this paper some labour market consequences of transitions in the agriculture sector are examined by combining a 20-year unbalanced panel data set from Norwegian farm couples (households) and logit modeling of one-period transition probabilities. The multi-dimensionality of the problem follows...

Farm couples' labour market responses are partly the qualitative choice of entering the ff-farm labour market and partly the continuous choice of the number of on-farm and off-farm working hours, given entry. Such a setting is interesting when examining the increasing occurrence of multiple...

In this paper some labour market consequences of transitions in the agriculture sector are examined by combining a 20-year unbalanced panel data set from Norwegian farm couples (households) and logit modeling of one-period transition probabilities. The multi-dimensionality of the problem follows...

The measurement error problem in linear time series regression, with focus on the impact of error memory, modeled as finite-order MA processes, is considered. Three prototype models, two bivariate and one univariate ARMA, and ways of handling the problem by using instrumental variables (IVs) are...

An autoregressive fixed effects panel data equation in error-ridden endogenous and exogenous variables, with finite memory of disturbances, latent regressors and measurement errors is considered. Finite sample properties of GMM estimators are explored by Monte Carlo (MC) simulations. Two kinds...

In the paper steps are taken towards integration of two parts of Trygve Haavelmo’s work: investment theory and econometrics of interrelated markets. Attempts are made to bring the duality in the representation of the capital service price and the capital quantity in relation to the investment...

A system of regression equations (SURE) for analyzing panel data with random heterogeneity in intercepts and coefficients, and unbalanced panel data is considered. A Maximum Likelihood (ML) procedure for joint estimation of all parameters is described. Since its implementation for numerical...

The Generalized Method of Moments (GMM) is discussed for handling the joint occurrence of fixed effects and random measurement errors in an autoregressive panel data model. Finite memory of disturbances, latent regressors and measurement errors is assumed. Two specializations of GMM are...