Yf is net farm income defined as a function of output and input prices, as the factor endowments of the household (education, age, family size, and the dependency ratio), land owned and rented, a vector of variable purchased inputs, the stock of capital owned by the household, location, and the infrastructure available to the household (roads, electricity).
Economic impacts are expressed as net present value and harvesting level, while impacts on forest structure are expressed by a vector of variables including old forest proportions, growing stock, number of retention trees, size of buffer zones and amount of dead wood.
T jkt is a vector of variables reflecting bilateral and time varying trade costs.
In addition to a vector of variables x it and their constant coefficients β, a vector of random coefficients γ i are specified for a vector of variables z it in the utility function.
& quad Ax leq b, quad x geq 0, end{array} where c and b are vectors, A is a matrix, and x is a vector of variables.
Supervised classification consists of assigning one class, out of several known classes, to an object described by a vector of variables (also termed 'descriptors') x.
C * is the latent cognition score, X is a vector of variables at the individual and district level and ε is a normally distributed error term.
Farm structure is a vector of variables related to farm-labor relationship, gender, and access to land, farm tools, and access to credit.
Occ i * and Inad i * are latent variables assumed to underlie the experience of respective transition outcomes, with (X_{i }) as a vector of variables (including the number of job vacancies) that determine these mismatch situations.
NC(_{mathrm{i}}) may be a variable or a vector of variables depending on whether we include one or many of the measures for non-cognitive skills in the regression.
where x=f(x 1,θ), x 1 is a vector of variables from the first step that determines the unobservables, f, which is a 1×K vector of functions determined by the unknown vector θ, which is Q×1.
