The Effect of Price on Meta Profit Function Model: A Case of Western Indonesia Soybean

2020 ◽  
Vol VII (1) ◽  
pp. 20
Author(s):  
Edison
2004 ◽  
Vol 6 (1) ◽  
pp. 16
Author(s):  
Tajerin Tajerin ◽  
M. Noor

The objective of this study was  to estimate input demand and output supply for catfish growth out.  The study was conducted in Tulung Agung regency, East Java from August to December 2002. Data were analyzed statistically  by profit function model, using Three-Stages Least Square estimation.  The results of this study showed that the catfish price was elastic and responsive to the changes of catfish  seed and  feed prices, but inelastic to the  changes of human labor.  The catfish price had positive effects on variables input demand and output supply.  These positive effects were more significance than the negative effect of  variables input price


1992 ◽  
Vol 24 (1) ◽  
pp. 135-144 ◽  
Author(s):  
Christopher S. McIntosh ◽  
Albert A. Williams

AbstractAn increasing emphasis on surface and groundwater quality and food safety may result in some form of pesticide regulations. A restricted profit function model of Georgia agriculture is used to examine the short-run effects of 2 and 5 percent reductions in all pesticides. Point estimates of short-run impacts, along with their 90 percent confidence intervals are presented.


2019 ◽  
Vol 33 (7) ◽  
pp. 1007-1019 ◽  
Author(s):  
Ryan A. Mace ◽  
Abigail B. Waters ◽  
Kayle S. Sawyer ◽  
Taylor Turrisi ◽  
David A. Gansler

2019 ◽  
Vol 7 (3) ◽  
Author(s):  
Nur Laela Fitriani ◽  
Pika Silvianti ◽  
Rahma Anisa

Transfer function model with multiple input is a multivariate time series forecasting model that combines several characteristics of ARIMA models by utilizing some regression analysis properties. This model is used to determine the effect of output series towards input series so that the model can be used to analyze the factors that affect the Jakarta Islamic Index (JII). The USD exchange rate against rupiah and Dow Jones Index (DJI) were used as input series. The transfer function model was constructed through several stages: model identification stage, estimation of transfer function model, and model diagnostic test. Based on the transfer function model, the JII was influenced by JII at the period of one and two days before. JII was also affected by the USD exchange rate against rupiah at the same period and at one and two days before. In addition, the JII was influenced by DJI at the same period and also at period of one until five days ago. The Mean Absolute Prencentage Error (MAPE) value of forecasting result was 0.70% and the correlation between actual and forecast data was 0.77. This shows that the model was well performed for forecasting JII.


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