Projects Funded for Peter Berck


Valuation of Government Income


Estimating Food Attributable Fractions of Foodborne Illness from Time Series Data


Specific Objectives of the Project <p>Can we explain food borne illness by consumption patterns?</p> Project Report/Summary of Results <p>We matched the consumption patterns of food by market area using Nielsen Homescan Data with non-outbreak incidence data for two pathogens using FoodNet data. We found that most of the explanatory power for food borne disease incidence was the place and time of the cases. While there was some association between food consumption and disease incidence, the vast majority of the explanatory power must lie in things other than consumption patterns, for instance, in contamination.</p>


Energy Efficiency and the Landlord-Tenant Problem in California's Commercial Buildings


Specific Objectives of the Project <ol> <li>Can we explain food borne illness by consumption patterns?</li> <li>What is the premium for rent or purchase price for energy efficient buildings?</li> </ol> Project Report/Summary of Results <p>This research exploits exogenous variation in mandatory energy code implementations as a result of the 1992 Energy Policy Act to estimate the energy efficiency premium in office buildings. A more stringent code leads to rent and price premiums of approximately 3% and 12%, respectively. Significant heterogeneity in the rent premium is observed based on who pays the utility bills, as would be expected absent asymmetric information about energy conservation characteristics among real estate market participants. The results cast doubt that asymmetric information between office building owners and prospectivebuyers or tenants mitigates the returns to energy efficiency.</p>


Demand in California: Estimation a Nonlinear I(1) System


Specific Objectives of the Project <p>The objective is to estimate the demand for categories of goods, including agricultural goods and energy goods, by California consumers.</p> Project Report/Summary of Results <p>A methodology that accounts for the time series nature of demand estimates was derived, although attempts within that methodology to account for second order bias were not successful. Demand systems were estimated from CEX data, using each individual in the data as a separate set of observations. The systems do account for the fixed effects of these individuals and the fixed effects do make a significant difference in the estimates.</p>


Total Nutrient Management, Pollution, and California Dairy Farming


Predicting Vineyard Expansion and its Environmental Consequences