scholarly journals A General, Dynamic, Supply-Response Model

1984 ◽  
Vol 13 (2) ◽  
pp. 142-154 ◽  
Author(s):  
Robert G. Chambers ◽  
Ramon E. Lopez
Keyword(s):  
Infinite Horizon ◽  
Resource Economics ◽  
Agricultural Economics ◽  
Response Model ◽  
Interested Reader ◽  
Response Models ◽  
Supply Response ◽  
Special Cases ◽  
Horizon Problems ◽  
General Dynamic

This paper is divided into two parts which are somewhat independent. The first part of this paper discusses certain properties of a general autonomous control model that appears promising for the analysis of general dynamic supply response models in agricultural economics, resource economics, and related fields. The second part of the paper, which can be read somewhat independently of the first, emphasizes the potential empirical applications of special cases of the general model discussed in the first part. In what follows, we always deal with continuous time and infinite horizon models because of their analytical tractability. Extension and modification of our results for discrete-time, finite-horizon problems should be fairly obvious and are left to the interested reader.

scholarly journals Rationality, Price Risk, and Response

1987 ◽  
Vol 19 (1) ◽  
pp. 111-118 ◽  
Author(s):  
James L. Seale ◽  
J. S. Shonkwiler
Keyword(s):  
Rational Expectations ◽  
Ad Hoc ◽  
Estimation Procedure ◽  
Price Risk ◽  
Response Model ◽  
Response Models ◽  
Supply Response ◽  
Agricultural Supply

AbstractRisk has long been recognized as potentially important in determining agricultural supply. However, supply response models have either incorporated risk in an ad hoc manner or not at all. A rational expectations supply response model incorporating price risk is developed, an estimation procedure suggested, and an empirical example presented.

scholarly journals Deterministic Equivalence in Stochastic Infinite Horizon Problems

1990 ◽  
Vol 15 (3) ◽  
pp. 396-407 ◽  
Author(s):  
Julia L. Higle ◽  
James C. Bean ◽  
Robert L. Smith
Keyword(s):  
Infinite Horizon ◽  
Infinite Horizon Problems ◽  
Horizon Problems

scholarly journals Extreme Response Style: A Simulation Study Comparison of Three Multidimensional Item Response Models

2018 ◽  
Vol 43 (4) ◽  
pp. 322-335 ◽  
Author(s):  
Brian C. Leventhal
Keyword(s):  
Item Response ◽  
Partial Credit Model ◽  
Response Model ◽  
Multidimensional Item Response ◽  
Generalized Partial Credit Model ◽  
Response Models ◽  
Item Response Models ◽  
Nominal Response Model ◽  
Extreme Response ◽  
Generalized Partial Credit

Several multidimensional item response models have been proposed for survey responses affected by response styles. Through simulation, this study compares three models designed to account for extreme response tendencies: the IRTree Model, the multidimensional nominal response model, and the modified generalized partial credit model. The modified generalized partial credit model results in the lowest item mean squared error (MSE) across simulation conditions of sample size (500, 1,000), survey length (10, 20), and number of response options (4, 6). The multidimensional nominal response model is equally suitable for surveys measuring one substantive trait using responses to 10 four-option, forced-choice Likert-type items. Based on data validation, comparison of item MSE, and posterior predictive model checking, the IRTree Model is hypothesized to account for additional sources of construct-irrelevant variance.

scholarly journals Infinite-Horizon Problems Under Periodicity Constraint

2017 ◽  
Vol 46 (1) ◽  
pp. 127-147 ◽  
Author(s):  
Joël Blot ◽  
Abdelkader Bouadi ◽  
Bruno Nazaret
Keyword(s):  
Infinite Horizon ◽  
Infinite Horizon Problems ◽  
Horizon Problems

On a Name Change for the Journal

1986 ◽  
Vol 18 (1) ◽  
pp. 161-168
Author(s):  
J. E. Epperson ◽  
C. L. Huang ◽  
T. T. Fu ◽  
S. M. Fletcher
Keyword(s):  
Agricultural Economics ◽  
General View ◽  
Response Model ◽  
High Quality ◽  
Name Change ◽  
High Quality Journal ◽  
Ordered Response ◽  
Ordered Response Model

AbstractMembership of the Southern Agricultural Economics Association (SAEA) was polled to ascertain the strength of support for changing the name of the Southern Journal of Agricultural Economics (SJAE) to eliminate the regional connotation. The general view was that a name change is unwarranted. The overall impression of our profession is that the SJAE is a high quality journal and that the name is not the crucial factor in promulgating this image but rather the continued striving for excellence. A number of profiles were developed to show that the ordered-response model may be used in predicting probabilities for those who would or would not likely favor a name change.

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