There is an emerging consensus among disciplines dealing with human decision making that the context in which a decision is made is an important determinant of outcomes. This consensus has been slow in the making because much of what is known about context effects has evolved from a desire to demonstrate the untenability of certain common assumptions upon which tractable models of behavior have...

Our aim is to examine whether sectorial production shocks have predominated in Mexico’s long annual real output, and whether shocks from different sectors are correlated. We study the long-run movement and comovements of 6 production sectors, using long, low frequency data for the Mexican economy from 1921 to 1993 and Johansen’s (1991, 1995) method to test for cointegration, that is, the possib...

This paper describes calibration methods for models of agricultural production and water use in which economic variables can directly interact with hydrologic network models or other biophysical system models. We also describe and demonstrate the use of systematic calibration checks at different stages for efficient debugging of models. The central model is the California Statewide Agricultural...

This thesis tackles new challenges associated with the disaggregate modeling of the human behavior. Decision-aid tools help in making decisions, by providing quantitative insights on the decisions and associated consequences. They are useful in complex situations where human actors are involved. Inside decision-aid tools, there is a need for explicitly capturing and predicting the human behavio...

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Past research offers conflicting conclusions regarding the associations between self-esteem, psychopathy, narcissism, and aggression. The current study clarified these associations by examining self-esteem level and stability as it relates to the factors of psychopathy and narcissism predicting aggression. Self-report assessments were administered to 118 undergraduates. While self-esteem instab...

Temporal disaggregation methods are used to disaggregate low frequency time series to higher frequency series, where either the sum, the average, the first or the last value of the resulting high frequency series is consistent with the low frequency series. Temporal disaggregation can be performed with or without one or more high frequency indicator series. The package tempdisagg is a collectio...