Research Methods, Econometrics, & Statistics

1056

Heterogeneity and Aggregation in Dynamic Econometric Models

Monday, 1:00 PM–2:30 PM

Washington State Convention Center, Level 6, Room 618

Selected Paper Session

How does heterogeneity over space and time affect econometric estimates and forecasts? Should an econometrician use the least aggregated data possible? The papers in this session answer these questions in the context of crop rotation, land development, and commodity prices.

Moderator: Seung Gyu Kim, University of Tennessee

Presentations:

Comparing the Bias of Dynamic Panel Estimators in Multilevel Panels: Individual versus Grouped Data

Nathan P. Hendricks, Kansas State University; Aaron D. Smith, University of California, Davis

Conclusive Evidence on the Benefits of Temporal Disaggregation to Improve the Precision of Time Series Model Forecasts

Octavio A. Ramirez, University of Georgia

Permanent and Trasitory Shocks in Spot Commodity Price Series

Yoonsuk Lee and B. Wade Brorsen, Oklahoma State University

Exploring Spatially Heterogeneous Effect of Property Tax Scheme on Land Development

Seung Gyu Kim and Seong-Hoon Cho, University of Tennessee; Roger L. Claassen, USDA-Economic Research Service

1062

Nonparametric Methods for Simulation and Imputation

Monday, 4:30 PM–6:00 PM

Washington State Convention Center, Level 2, Room 213

Selected Paper Session

Misspecified models can produce spurious econometric results. The papers in this session use nonparametric methods to avoid misspecification when modeling yield distributions, estimating willingness to pay, and imputing missing data.

Moderator: Barry K. Goodwin, North Carolina State University

Presentations:

Nonparametric Estimation of Crop Yield Distributions: A Panel Data Approach

Ximing Wu, Texas A&M University

Implications of Missing Data Imputation for Agricultural Household Surveys: An Application to Technology Adoption

Haluk Gedikoglu, Lincoln University of Missouri; Joseph L. Parcell, University of Missouri

An Information-Theoretic Approach to Modeling Binary Choices: Estimating Willingness to Pay for Recreation Site Attributes

Miguel Henry-Osorio and Ron C. Mittelhammer, Washington State University

A Simplified, General Approach to Simulating from Multivariate Copula Functions

Barry K. Goodwin, North Carolina State University

2061

Using Panel Data in Agricultural Economics: Opportunities and Challenges

Tuesday, 4:00 PM–5:30 PM

Washington State Convention Center, Level 2, Room 204

Organized Symposia

Panel/longitudinal data allow researchers to undertake analysis which is not possible with cross-sectional analysis and the relevance of the research for policy and program development is enhanced with panel data. In an era of tight budgets having relevant panel data for policy and programs is essential. The presentations in this session highlight panel data usefulness and statistical issues, the use of state farm business management program panel data sets, the use of panel data for policy in Canada, and specific research applications using panel data sources.

Organizer: Ani L. Katchova, University of Kentucky

Moderator: David W.H Culver, Agriculture & Agri-Food Canada

Discussant: Ani L. Katchova, University of Kentucky

Presentations:

Panel Data: Usefulness and Statistical Issues

Jean-Paul Chavas, University of Wisconsin

The Use of State-Level Farm Panel Data from Farm Business Management Programs

Ani L. Katchova, University of Kentucky

The Use of Panel Data for Policy Analysis in Canada

David W.H Culver, Agriculture & Agri-Food Canada

The Use of Panel Data for Research

Roderick M. Rejesus, North Carolina State University; T. Kirk White, USDA-Economic Research Service

My Account Login
Username:
Password:
Create an Account / Need Help Logging In