Demand systems for agricultural products in the OECD countries

Download
2003
Erdil, Erkan
The estimation of demand equations provides the earliest example of the use of statistical and econometric techniques on economic data. It is possible to identify two distinct approaches to the estimation of demand equations. The first and original approach concentrated on the demand for particular goods by paying attention to any special characteristics of the single market involved. The second approach involved simultaneous estimation of complete systems containing the demand equations for every commodity group purchased by consumers. The estimation of a complete system of demand equations in principle enables us to obtain better estimates of each equation in the system than the first approach because of interaction in the demand behavior of different commodities. This study is directed towards the estimation of demand systems foragricultural products in the OECD countries. Three representatives demand systems with their extensions, namely the Rotterdam Model, An Almost Ideal Demand System (AIDS), and CBS model are used. These models are estimated by Seemingly Unrelated Regression (SUR) method. The procedures to estimate demand systems suggest significant empirical regularities for agricultural products in the OECD countries. The main contribution of this study is its procedure for model selection. This procedure implies the superiority of AIDS and CBS models over the Rotterdam model.

Suggestions

Demand systems for agricultural products in OECD countries
Erdil, Erkan (Informa UK Limited, 2006-02-20)
This Study concerned with the estimation of demand systems for agricultural products in OECD countries. Three representatives demand systems with their extensions, namely the Rotterdam Model, All Almost Ideal Demand System (AIDS), and CBS model are used. These models are estimated by Seemingly Unrelated Regression (SUR) method. The procedures to estimate demand systems Suggest significant empirical regularities For agricultural products in OECD countries. The Study also applies a procedure for model selecti...
Predicting financial distress of Turkish non-financial firms: evidence from micro data
Yılmaz, Muhammed Hasan; Ercan, Hakan; Department of Economics (2019)
In this thesis, determinants of financial distress probabilities are analyzed for the period over 2006-2016 by utilizing firm-level and loan-level data sets. Based on the financial distress definition constructed from the existence of non-performing loans, univariate tests indicate that financially problematic Turkish corporates have lower liquidity, profitability and asset turnover, while they are also the ones with inferior short and long-term debt paying ability. To form multivariate specifications, vari...
Demand following or supply leading? A panel data analysis for developed, developing, and less developed countries
Akıncı, Gönül Yüce; Akıncı, Merter; Yılmaz, Ömer (Orta Doğu Teknik Üniversitesi (Ankara, Turkey), 2013-12-1)
In this paper, the linkages between financial development and economic growth in developed, developing and less developed countries are investigated using unbalanced panel cointegration and causality analysis in the period of 1980 – 2011. The results of the Pedroni cointegration analysis show the existence of cointegration relations between financial development and economic growth for whole country groups, but Kao cointegration analysis indicates the long – run relationship between the related variables fo...
Risk measurement, management and option pricing via a new log-normal sum approximation method
Zeytun, Serkan; Uğur, Ömür; Korn, Ralf; Department of Financial Mathematics (2012)
In this thesis we mainly focused on the usage of the Conditional Value-at-Risk (CVaR) in risk management and on the pricing of the arithmetic average basket and Asian options in the Black-Scholes framework via a new log-normal sum approximation method. Firstly, we worked on the linearization procedure of the CVaR proposed by Rockafellar and Uryasev. We constructed an optimization problem with the objective of maximizing the expected return under a CVaR constraint. Due to possible intermediate payments we as...
Non-linear programming models for sector and policy analysis
Bauer, Siegfried; Kasnakoglu, Haluk (Elsevier BV, 1990-7)
This paper examines the basic problems of the mathematical programming models used for agricultural sector and policy analysis. Experience with traditional programming models shows that a considerable improvement in performance is possible by adequately incorporating non-linear relationships. Particular emphasis will be given to the calibration and validation problems involved in this type of model. With the help of the Turkish agricultural sector model it will be demonstrated that an empirical specificatio...
Citation Formats
E. Erdil, “Demand systems for agricultural products in the OECD countries,” Ph.D. - Doctoral Program, Middle East Technical University, 2003.