The use of wireless technology in the process industry is becoming increasingly important to obtain fast deployment at low cost. However, poor channel quality often leads to retransmissions, which are governed by Automatic Repeat Request (ARQ) schemes. While ARQ is a simple and useful tool to alleviate packet errors, it has considerable disadvantages: retransmissions lead to an increase in energy expenditure and latency. The use of Forward Error Correction (FEC) however offers several advantages. We consider a Hybrid-ARQ-Adaptive-FEC scheme (HAF) based on BCH codes and Channel State Information. This scheme is evaluated on AWGN and fading channels. It is shown that HAF offers significantly improved performance both in terms of energy efficiency and latency, as compared to ARQ.

The present study investigates three teacher trainees and three teachers’ views on error correction during oral communication, and the similarities and differences between them. These six people were interviewed separately and they were asked six questions; the first five questions were asked to all six people but the last question differed between the teacher trainees and the teachers. My result shows that the teacher trainees are insecure when it comes to error correction and that the teachers´ sees it as a part of their job, and that is the biggest difference between them. The teacher trainees and the teachers focus on the same types of errors and those are the errors that can cause problems in communication, and that can be pronunciation errors, grammatical errors or vocabulary errors.

This study discusses the monetary policy transmission mechanism in the different channels. The analysis is conducted using generalized impulse response functions derived from a factor-augmented vector error correction (FAVECM) model. The FAVECM methodology as developed by Lee (2009) extends the factoraugmented vector autoregression (FAVAR) model to analyze long-run and shortrun dynamics of non-stationary variables. This recenly derived FAVECM model combines the advantages of factor model and the VECM model. The estimations are conducted using 174 macroeconomic time series in monthly frequency for the period January 2000 to September 2009. Results indicate that interbank call loan rate, deposit rate and prime lending rate are conintegrated, which provides sufficient evidence of the existence of the credit channel in monetary transmission system. Other GIRF results are generally consistent of the expected monetary policy effectiveness.

This study revists Purchasing Power Parity (PPP) and discusses the monetary policy transmission mechanism in exchange rate channels. The analysis is conducted using generalized impulse response functions derived from a Factor- Augmented Vector Error Correction (FAVECM) model. The FAVECM methodology as developed by Lee (2009) extends the Factor- Augmented Vector Autoregression (FAVAR) model to analyze long-run and shortrun dynamics of non-stationary variables. This recently derived FAVECM model combines the advantages of factor model and the VECM model. The estimations are conducted using 157 macroeconomic time series in monthly frequency for the period January 2000 to September 2009. Results indicate that PPP exists and expansionary devaluation effect in Taiwan. Other GIRF results are generally consistent of the expected exchange rate effectiveness.

As the two main components of household portfolios, stocks and real estate are likely to catch people¡¦s attention. Although the number of extant studies on the interaction between the stock and real estate markets is large, the views and empirical evidence in those studies show inconsistent results. This dissertation provides an explanation for the inconsistent results: market imperfection. Employing the threshold vector error correction model to examine the interaction between Taiwan¡¦s stock and real estate markets during the period from 1973Q2 to 2009Q4, the empirical results support this explanation. When the transaction benefit from the disequilibrium between the stock and real estate markets can cover the potential cost resulting from market imperfection, the relationship between the stock and real estate markets is integrated; but when there is slight disequilibrium, the price of real estate will not converge since the arbitrage benefit cannot cover the cost of transaction. As a result, the relationship is segmented. The empirical results of the study are very robust as similar conclusions result when different proxies for housing prices are used. The interactions between the stock and the sub-region housing markets also show similar results. Finally, when macroeconomic factors are considered, the asymmetric dynamic relationship is still significant.

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.

This paper applies a Factor-augmented error correction model proposed by Banerjee. A, Marcellino. M¡]2009¡^to measure the impact of the United States¡¦ monetary policy on Taiwan. The FECM model has the following advantages. First, it has refined the dynamic factor model, since it allows us to include the error correction terms into equation. Second, we can improve FAVAR model¡¦s shortcomings, the common factor lack of economic interpretation, by using the method of Belviso. F, Milani. F¡]2006¡^. Third, the cointegration can analyze long-run and short-run dynamics of non-stationary variables. Forth, we propose the generalized impulse respone to analyze the FECM model, it doesn¡¦t require orthogonalization of shocks and is invariant to the ordering of the variables. Finally, we indeed prove the interest rate channel does exist in Taiwan and United States through the method of FECM model.

This paper discusses the factors that affect the share price index of Taiwan solar power industry, crude oil prices and the size of the solar manufacturers in Taiwan and Taiwan's market index into the consideration. In addition, considering whether the policies implemented by our government would change the solar industry in Taiwan¡¦s stocks structural .Using the correlation coefficient, the unit root test, Chow test, cointegration test , vector error correction model, impulse response and forecast error variance decomposition to explore their relationship respectively. The study period starts from January 3,2002 until December 30,2011, a total of 2450 daily data for empirical analysis. By Chow test , we find that there is no structural change of solar stock index after the implementation of the domestic policies. Three international crude oil prices and the total share capital of solar manufacturers in Taiwan and the Taiwan solar power industry stocks index has co-integration relationship, means the three international crude oil prices and solar companies total share capital of solar stock index has a long-run equilibrium relationship. By the error correction model of West Texas crude oil price of Brent crude oil prices, the total share capital of the solar companies in Taiwan and Taiwan solar stock index mutual interaction, and the relationship between changes in Taiwan's solar stock price index and Brent crude oil price, West Texas crude oil prices and the total manufacturers of solar energy manufacturers in Taiwan¡¦s share capital are positive, besides, I also found a positive relationship in the impulse response.

Using the monthly data between 1999 and 2007 in Taiwan, we examine the relationship of exchange rate, trade and capital flow in this paper. Granger causality test and impulse response from vector autoregressive model are employed to obtain the short-run dynamics among the variables, and Johansen cointegration test and error correction model are applied to study the long-run equilibrium. This paper reconfirms the J-curve effect in the short run and the validity of Marshall-Lerner condition in the long run. Our results also show the negative correlation of capital flow and the nominal effective exchange rate. Limited by the slow adjustment speed of trade balance, exchange rate and capital flow are the major drives back to equilibrium when the system deviates from the long-run equilibrium. Further, the capital flow variables are the leading indicators of the others in the most cases. However, different capital flow variables induce different patterns of dynamics in the short-run.

In this dissertation three essays were presented. In the first two essays we measure the consumer welfare changes caused by U.S. meat price changes. In the third essay the dynamic structure of international gasoline prices using the time series methodology is investigated. In chapter II, we investigate the U.S. consumer behavior on meat consumption depending on a linear expenditure system (LES), and then we simulate the welfare effects of a set of price changes on the U.S. meat consumption. The simulation results show that the amount of consumer welfare change for each meat is not same across the meats under the same percentage change of price. The simulation results also show that when all the prices are doubled the total amount of CV reaches almost the same amount of current total quarterly expenditures for the three meats. In chapter III, we apply the compensating variation (CV) approach for the measurement of consumer welfare losses associated with beef price changes. We applied the long-run cointegrating relationship in vector error correction model (VECM) to estimate the Marshallian demand function. Apparently, the use of long-run cointegration in VECM in deriving the direct Marshallian demand function to measure the consumer welfare change is the first attempt in the literature. This is one of the contributions of the study. The simulation results show that the amount of consumer welfare change for beef is compatible with the one derived from LES methodology. In chapter IV, an empirical framework to summarize the interdependence of four international gasoline markets (New York, U.S. Gulf Coast, Rotterdam and Singapore) is presented. For that purpose, we employ a structural VECM and directed acyclic graphs (DAGs). To solve the identification problem in structural VECM, we apply DAGs derived from contemporaneous VECM innovations. The impulse response functions show that the time period in which a shock in a market affects the other market is very short. Forecast error variance decompositions (FEVD) shows that in all markets, except the U.S. Gulf Coast market, current and past shocks in their own market explained the most of the volatility in their own market in the Short-run.