This thesis contains three essays on topics in agricultural economics. Essays one and two share a focus on international trade and economic development, and essays two and three apply dynamic tools to agricultural economic policy issues.<p>Essay one analyses trade-related implications of a developing country's decision to adopt genetically-modified crop technology. A fixed-proportions model is constructed that evaluates the welfare implications of a range of adoption policies and export market responses. The model in this essay illustrates the importance of the prospective adopter formulating a projection of probable export market effects before making an adoption decision and of the role that high transaction costs may play in a developing country's adoption decision. The model also considers the effects of a new policy tool; a check-off style levy on genetically-modified technology in place of a technology-use agreement. A levy could be useful tool in developing countries, which are characterised by high transaction costs. <p>Essay two models the effects of emergency food aid on a recipient country's agricultural industry. This essay formulates a definition of needed aid in the context of a food emergency and constructs an optimal control model that solves a path of aid shipments that best meets that need. The effects of a range of food aid paths on recipient-country agricultural production are illustrated through numerical simulations. There are two key results. First, a non-optimal amount of aid can hinder a recipient-country's recovery from an exogenous food shock. Second, an exogenous shock can affect farmer revenue and therefore impact planting decisions. This effect must be considered in aid allocation policies. <p>Essay three uses time-series econometric techniques to develop a demand model that assesses the effectiveness of commodity advertising. This essay describes the importance of considering long-run and dynamic effects in demand systems, especially in the case of closely substitutable commodities. A demand system that tests for and accommodates dynamic and time-series properties is developed and applied to US meat data. The results of this model are compared to a traditional static demand system. The dynamic model produces econometrically and theoretically sound results and generates some more intuitively appealing estimates.

The money demand function has been regarded as a fundamental building block in macroeconomic modelling, as it represents the link between the monetary policy and rest of the economy. The extensive literature on money demand function is concerned with the existence of a stable money demand function, which ensures adequate prediction of impact of a given change in money supply on other economic variables such as, inflation, interest rates, national income, private investment and other policy variables. This thesis employs both linear and nonlinear estimation methods to investigate the relationship between money demand, GDP, inflation and interest rates for the Euro Area over the period 1980-2010. The aim of this thesis is to compare the European money demand in linear and nonlinear framework. First a vector autoregression (VAR) model has been estimated. Then a threshold cointegration model has been employed and nonlinearity properties of the money demand relationship has been investigated. In contrast to the existing empirical literature, linear VEC model can find evidence of stability, however it has some conflicting results which can be explained by the nonlinearity of the model. Empirical results of MTAR type threshold cointegration specification verifies the nonlinearity in European money demand. The adjustment coefficient of lower regime suggests faster adjustment towards long run equilibrium compared to upper regime in nonlinear model. Moreover, the nonlinear model presents better fit to economic literature than linear model for European money demand.

Markets have an important role to play in advancing an improved understanding of international trading relationships. Two most important economic issues, which contribute to improved national welfare and ensure long-run competitive market equilibrium in international markets, are market integration and market efficiency. To provide softwood lumber markets related information to the policy makers, economic analyses relating market integration and market efficiency of the combined markets of Canada and the US have been conducted. The economic analyses include: (i) testing cointegration of prices among North American softwood lumber markets; (ii) identifying price leading markets in long-run price structure of these cointegrated markets; (iii) examining the degree of market integration among these markets; and (iv) testing the efficiency of spatial arbitrage among these markets. First, the price linkages in the North American softwood lumber markets have been explored over different trade regimes. The results indicate that market integration is affected by product aggregation of data. Further investigations of market integration are, therefore, limited to homogeneous softwood lumber product markets. Second, oligopsonistic pricing behavior of traders is identified as the possible reason for imperfect competition among Douglas Fir product markets, while imperfect competition among the markets of Spruce-Pine-Fir and Hem Fir products can not be explained by this behavior. Third, a comprehensive picture of the adherence to price parity is formulated by evaluating the magnitude and persistence of deviations from equilibrium relation of prices. It is found that large volumes of trade, product substitutability, lower prices, and certainty of trade are the factors which contribute to higher degree of market integration among North American softwood lumber product markets. Finally, the inter-temporal shifts in regime probabilities of competitive market equilibrium are assessed over different trade regimes. It is found that lower transaction costs, large volumes of trade, short distances between markets, and certainty of trade contribute to high market efficiency among softwood lumber product markets of North America.

Chile and Colombia are two prosperous economies among the main FDI recipients in Latin America. Both countries underwent structural reforms that favored the entrance of transnational corporations and liberalized the economies. Considering that FDI flows have been largely resource-seeking and market-seeking it seems that the main driver of FDI in these two countries, besides their resource endowment, is economic growth. The document explores the hypothesis of growth-driven FDI carrying out cointegration and Granger causality tests at aggregate and sector levels. After the introduction, Chapters 2 and 3 present the evolution of world FDI flows and a literature review. Chapters 4 and 5 discuss the policy framework in Latin America and the evolution of FDI in Chile and Colombia. Finally, Chapter 6 presents the estimations and Chapter 7 the conclusions. The findings of the analysis suggest a long-term relationship between FDI and growth and validate the hypothesis of growth-driven FDI at the macroeconomic level. However, at the sector level the existence of a long run cause-effect relationship cannot be established in most of the cases. Regarding the direction of Granger causality at this level results are heterogeneous across sectors. The main conclusion of the thesis is that economic growth does Granger cause FDI at the aggregate level, but at the sector level the causal linkage seems not to be direct. (author's abstract)

The aim of this research is to check whether the Taylor rule in its simple linear form can be viewed as an appropriate description of the monetary policy pursued by Norway’s central bank – Norges Bank, and whether this rule can be used for forecasting purposes. Not only does this research focus on the original Taylor rule, but it also deals with its extended version designed for small open economies such as Norway. A conclusion about whether regressions can produce reliable coefficient estimates is drawn on the basis of time series’ properties tests and cointegration tests. The performance of the simple-form Taylor equation is compared to its alternative forms through forecasting exercises. The study has shown that the extended version of the Taylor rule with interest rate smoothing and augmented with the real exchange rate, the policy rate of the EU and oil prices can be viewed as a close approximation of Norges Bank’s monetary policy and can be used for forecasting purposes.

This thesis contains three essays on topics in agricultural economics. Essays one and two share a focus on international trade and economic development, and essays two and three apply dynamic tools to agricultural economic policy issues.<p>Essay one analyses trade-related implications of a developing country's decision to adopt genetically-modified crop technology. A fixed-proportions model is constructed that evaluates the welfare implications of a range of adoption policies and export market responses. The model in this essay illustrates the importance of the prospective adopter formulating a projection of probable export market effects before making an adoption decision and of the role that high transaction costs may play in a developing country's adoption decision. The model also considers the effects of a new policy tool; a check-off style levy on genetically-modified technology in place of a technology-use agreement. A levy could be useful tool in developing countries, which are characterised by high transaction costs. <p>Essay two models the effects of emergency food aid on a recipient country's agricultural industry. This essay formulates a definition of needed aid in the context of a food emergency and constructs an optimal control model that solves a path of aid shipments that best meets that need. The effects of a range of food aid paths on recipient-country agricultural production are illustrated through numerical simulations. There are two key results. First, a non-optimal amount of aid can hinder a recipient-country's recovery from an exogenous food shock. Second, an exogenous shock can affect farmer revenue and therefore impact planting decisions. This effect must be considered in aid allocation policies. <p>Essay three uses time-series econometric techniques to develop a demand model that assesses the effectiveness of commodity advertising. This essay describes the importance of considering long-run and dynamic effects in demand systems, especially in the case of closely substitutable commodities. A demand system that tests for and accommodates dynamic and time-series properties is developed and applied to US meat data. The results of this model are compared to a traditional static demand system. The dynamic model produces econometrically and theoretically sound results and generates some more intuitively appealing estimates.

The rapid growth of gasoline consumption in the USA for the last decades brings much concern to scientists and politicians. Therefore many researchers investigated the influence of the main factors that have an impact on gasoline demand. In our study we tried to estimate gasoline demand in the USA, using national time series data for the period 1984-2010. Gasoline demand function considered in this paper includes price, income, fuel efficiency and gasoline consumption in previous year, as the main explanatory variables. The model is estimated using simultaneous equations and cointegration and error correction model (ECM). The results of both methods show a significant price and income effect on gasoline demand. The price is found inelastic and its impact on gasoline demand is very small, however when we correct for endogeneity of price variable, we obtain higher price elasticity. The results on income elasticities obtained from two methods are dubious, since the two methods gave us the different results. In whole, an income raise will lead to an increase of consumption, gasoline demand is inelastic with respect to income in the short-run, while in the long-run it is found to be elastic according to 2SLS method, while the results of cointegration method indicate that gasoline response to income changes is higher in the short-run than in the long-run. Lag of error term suggests that around 57% of adjustment between short-run and long-run occurs during the first year.

This paper examines the oil price-macro economy relationship by means of analyzing the impact ofoil price on Industrial production, real effective exchange rate, long term interest rate and inflation rate for a sample of ten OECD countries using quarterly data for the period 1970q1-2011q1.The impact of oil price shock on industrial production is negative and occurs with a lag of one year. However, the impact has weakened considerably compared to the 1970s. The impact on real effective exchange rate is negative/positive for a net importer/exporter, and the magnitude of the shock depends on the county´s share of net import/export of total world demand/supply. Interest rates are affected negatively, through increase in inflation rates following the oil price shock. The effect tends to die out after 5-8 quarters following the shock for most of the variables and countries. This paper also applies alternative methods to test for unit root and cointegration, which takes into account for structural breaks in the data. The weakness of Phillips-Peron test is clearly demonstrated in the case of inflation rates and interest rates, where the test falsely considered the series to be non-stationary when they in fact are stationary around a structural break. There is also strong evidence of cointegration between oil price and inflation rates and between oil price and interest rates, especially when taking account for structural breaks. / This study also highlights the relevance of oil scarcity and oil peak theory. It is shown that these two terms should receive more attention than they have received so far as more oilexporters have reached their production peaks and more are likely to be followed. According to the data, renewable source of energy are not likely to dominate OECD countries energy mix in the short term, instead, there is a trend of increasing natural gas consumption among most of OECD countries. Natural gas markets are likely to play an equal role in the future as oil markets do today. The dilemma that importing countries are facing today, particularly in Europe, is whether to expose their markets to Russia or to the Middle East.

Nested by linear cointegration first provided in Granger (1981), the definition of nonlinear cointegration is presented in this paper. Sequentially, a nonlinear cointegrated economic system is introduced. What we mainly study is testing no nonlinear cointegration against nonlinear cointegration by residual-based test, which is ready for detecting stochastic trend in nonlinear autoregression models. We construct cointegrating regression along with smooth transition components from smooth transition autoregression model. Some properties are analyzed and discussed during the estimation procedure for cointegrating regression, including description of transition variable. Autoregression of order one is considered as the model of estimated residuals for residual-based test, from which the teststatistic is obtained. Critical values and asymptotic distribution of the test statistic that we request for different cointegrating regressions with different sample sizes are derived based on Monte Carlo simulation. The proposed theoretical methods and models are illustrated by an empirical example, comparing the results with linear cointegration application in Hamilton (1994). It is concluded that there exists nonlinear cointegration in our system in the final results.

This study explores the dynamics between stock price and exchange rates through the cointegration methodology proposed by Herwartz and Luetkepohl (2011). Moreover, it consider the vector error correction model (VECM) with conditional heteroscedastic variance. And we use a feasible generalized least squares (FGLS) estimator to estimate the cointegrating vector. This paper analysis some Asian countries' data from 1997 to 2010. The evidence result suggests that Malaysia and Singapor's stock price and exchange rate are positively related. But Hong Kong's stock price is negatively related to exchange rate.