Previous studies that analyzed multiple imputation using survey data did not take into account the survey sampling design. The objective of the current study is to analyze the impact of survey sampling design missing data imputation, using multivariate multiple imputation method. The results of...

Missing data is a problem that occurs frequently in survey data. Missing data results in biased estimates and reduced efficiency for regression estimates. The objective of the current study is to analyze the impact of missing-data imputation, using multiple-imputation methods, on regression...

This paper studies the welfare impact of alternative scenarios of trade protectionism and liberalization in Argentina. The impact of the different trade policies is assessed in two different ways. We first use the multi-sectoral and multi-regional computable general equilibrium MIRAGE model to...

We conduct models and tests to ascertain whether there are speculative bubbles and which factors contribute to the bubbles if there exits one. In the model, we use the option value to represent the investment value of farm real estate and compare the option value, calculated from dynamic...

Nanotechnology has tremendous potential in food and agriculture. Few economic studies focused on specific products made using nanotechnology, let alone food or food related products. Using a national choice experiment survey, this analysis examines consumers’ valuations for nano-attributes. As...

The energy savings from tree shade coincide with peak electricity demand during summer months, creating an opportunity for utilities to use tree protection policies as demand side management tools. We apply a quasi-experimental research design to identify the change in residential energy caused...