@article{burns_wagger_fisher_2009, title={Animal and Pasture Productivity of 'Coastal' and 'Tifton 44' Bermudagrass at Three Nitrogen Rates and Associated Soil Nitrogen Status}, volume={101}, ISSN={["0002-1962"]}, DOI={10.2134/agronj2008.0006x}, abstractNote={‘Coastal’ and ‘Tifton 44’ (T44) bermudagrass [Cynodon dactylon (L.) Pers.] are well adapted across the lower southern United States, but the grazing response of (T44) to N application in the Piedmont of the upper South warrants further evaluation. This 3‐yr experiment compared animal and pasture productivity of Coastal and T44 with three annual N rates of 101, 202, and 303 kg of N ha−1 on a Cecil clay loam (fine, kaolinitic thermic Typic Kanhapludult) soil typical of the Piedmont. Herbage mass differed for Coastal and T44 (3.5 and 3.0 Mg ha−1 respectively, P < 0.01), but not among N rates. The canopy of T44 was leafier (20.6 vs. 14.5% of dry matter) than Coastal and greater for in vitro true organic matter disappearance (IVTOD) (522 vs. 498 g kg−1) and CP (107 vs. 84 g kg−1) and lesser in NDF (596 vs. 605 g kg−1). The diet selected from T44 was greater in IVTOD (764 vs. 743 g kg−1) and lesser in NDF (596 vs. 605 g kg−1) giving greater steer average daily gain (0.63 kg vs. 0.57 kg; P < 0.01) which increased (P = 0.05) with N rate. Weight gain ha−1 (884 kg) and effective feed units (EFU) (4735 kg ha−1) were similar, and N rate linearly increased gain from 723 to 1073 kg ha−1 and EFU from 3978 to 5523 kg ha−1. Soil inorganic N was similar between cultivars but differed among soil depths. Tifton 44 pasture was greater in nutritive value, hence steer performance, and as productive as Coastal in the Piedmont.}, number={1}, journal={AGRONOMY JOURNAL}, author={Burns, J. C. and Wagger, M. G. and Fisher, D. S.}, year={2009}, pages={32–40} }
@article{fisher_fleissig_serletis_2001, title={An empirical comparison of flexible demand system functional forms}, volume={16}, ISSN={["1099-1255"]}, DOI={10.1002/jae.585}, abstractNote={Abstract}, number={1}, journal={JOURNAL OF APPLIED ECONOMETRICS}, author={Fisher, D and Fleissig, AR and Serletis, A}, year={2001}, pages={59–80} }
@book{fisher_2001, title={Intermediate macroeconomics: A statistical approach}, ISBN={9810244304}, DOI={10.1142/4530}, abstractNote={This book covers the typical material of an intermediate macroeconomics course at the undergraduate level. The approach is both theoretical and statistical, with the theory being limited to algebraic expressions and the statistics to simple and multiple regression and correlation. The coverage is traditional for the course (being IS-LM in its focus), and the tests are of the consumption function, investment function, demand for money, Phillips curve, etc. Every effort is made to explain the statistics, with some explicit statistical material embedded in the text and several “how to” sections in the Appendix geared to the popular programs Eviews and Excel. There is also a set of Internet links that instructors can readily access in order to supplement and update the data and to use to provide the data for the students to work the exercises.}, publisher={River Edge, NJ: World Scientific}, author={Fisher, D.}, year={2001} }
@article{fisher_fleissig_1997, title={Monetary aggregation and the demand for assets}, volume={29}, ISSN={["1538-4616"]}, DOI={10.2307/2953708}, abstractNote={In this paper we consider and illustrate a solution to the inter-related problems of monetary aggregation and estimation of money demand. The problem with the definition of money is that the relative prices of the monetary components fluctuate over time, rendering simple-sum aggregates inefficient. The authors apply Revealed Preference tests to the U.S. monthly data to determine admissible and separable components. These components are then aggregated using the Divisia technique. To deal with the problem of money demand, the dynamic Fourier expenditure system is used to provide estimates of the elasticities of substitution. These, while showing general substitution among the liquid assets studied, are quite variable over time. This finding underscores the inefficiency of both simple-sum aggregation and single-equation, log-linear money-demand estimation. Copyright 1997 by Ohio State University Press.}, number={4}, journal={JOURNAL OF MONEY CREDIT AND BANKING}, author={Fisher, D and Fleissig, AR}, year={1997}, month={Nov}, pages={458–475} }