Wheat is an extremely important agricultural commodity, due to its crucial role in everyday nutrition, food security, and in terms of incomes of a large body of farmers worldwide. This study examines the dynamics of wheat prices in Turkey in a framework that allows for regime switching. Due to their simplicity, threshold autoregressive (TAR) models are used to capture the effects of factors such as transaction costs and other institutional arrangements that generate discontinuous adjustment to equilibrium price level. The results are compared with standard linear model estimations. Results indicate that there is strong evidence for asymmetric adjustment of wheat prices in Turkey to the equilibrium price, hence models allowing for regime switching are more preferable over the linear ones. However, the diagnostics of the TAR model reveal that specification of a TAR model allowing for more than two regimes, or a smooth transition autoregressive (STAR) model that allows for smooth transition through a continuum of regimes might be more appropriate.

This diploma thesis is dealing with the study of dependence between birth and marriage in the Czech Republic in 1973-2016, this period is divided into two time point, due to the demographic transition and the new political regime, before 1989 (state regulated economy) and after 1989 (the changeover to a market economy). The basis for multidimensional analysis of time series is the starting point for finding the relationship or dependency between the monitored characteristics. The demographic indicator of birth rate (natality) is characterized by the number of live births and the marriage rate (nuptiality) by the number of marriages in the Czech Republic, available at monthly frequency. In the introduction of this thesis, the hypothesis of the absence of dependence (relationship) between the observed time series is determined, which will be analysed at the end of the analysis for both time series. The results of this thesis can be helpful not only to experts who were engaged with this issue in detail, but also to those interested in demographics or time series, because the prediction of these indicators will be simulated in the end of this paper.

This diploma thesis deals with the analysis of the birth rate and fertility rate in dependence on the economic conditions of the Czech Republic. The aim of this thesis is to analyze relations between selected socio-economic indicators and total fertility rate on the basis of available data and to evaluate changes related to birth and fertility in the Czech Republic, which occurred in the period 1993-2015. The thesis is divided into two main parts - theoretical and analytical. In the theoretical part are described the basic methods of calculating the characteristics for the analysis of the level of birthrate and fertility, as well as the development of selected socio-economic indicators. An important part of the first part of the diploma thesis is specification of used methods within time series. The second part is practically focused on cointegration analysis and subsequent assembly of single-row models from which error correction models were obtained by transformation. These can be used to describe short and long term relationships between time series. Explained variables are aggregate fertility in all assembled models, the explanatory variables are GDP, average gross monthly wage, final consumption expenditure for households, child allowances, parental allowance and household loans per capita.

Demographic development in Muslim countries with evaluation of possible influence of Islam Abstract The objective of this study is to analyse and to evaluate the demographic development during the second half of 20th century in chosen Muslim countries. Primarily, processes of mortality and fertility are analysed; describing of processes of nuptiality and divorce are more likely additional. In the first part, chosen muslim countries are divided into groups, and the relationship of Islam and demographic processes is described. In the second part is an analysis focused on describing processes, prediction to the future and on proving possible influence of Islam on mortality and fertility. The analysis supported basic hypothesis that Islam hasn't decisive influence on these processes. Results of analysis are consulted with theoretical background from the first part and then compared with preliminary hypothese in the conclusion. Keywords: Muslim countries, Islam, mortality and fertility, time series, cointegration of time series

Wealth, well-being and the standard of living of the population are among the most important topics of economic policy and statistics. This diploma thesis deals with statistical concepts of wealth measurement, especially the wealth of households. The aim of the thesis is to introduce various indicators that deal with the mentioned issues. This thesis will describe Gross Domestic Product, Household Consumption, EU-SILC Survey, or Alternative Indicators Assessing the Living Standard of the Population. The most important indicator characterizing the wealth of households will be the net worth of households. On the presented indicators I will describe the development of wealth of households in the Czech Republic since 1993. Another part of the thesis is focused on describing the relationship between net worth and other indicators of wealth through cointegration analysis of time series. In this cointegration analysis, the ADL model and the EC model will be used. The last part of the thesis is aimed at the international comparison of the wealth of households within selected European countries. For this comparison will be use a cluster analysis to build clusters of states with a similar household wealth.

Methods of analysis of seasonality in demografy Gabriela Myšáková Abstract The thesis presents statistical methods suited for analysis of seasonality in time-series. Three statistical methods have been thoroughly described, namely the time-series decomposition, the X12−ARIMA method and the cointegration of time-series. Further methods applicable for similar analysis have been briefly discussed as well. Three main methods have been subsequently applied to monthly demographic data for the Czech Republic and chosen European countries by natality, nuptiality and mortality. Seasonality has been discovered in all three demographic events and by using the time-series decomposition and the X12−ARIMA method for time-series lay out to separate units, and those progressions have been track by graphic and verbal interpretation. Cluster analysis has been applied to European countries nuptiality and mortality time-series in order to reveal similarities and dissimilarities among particular countries. All the methods were used onto data set by using appropriate procedures in statistical software SAS.

Submitted by Bernardo Antunes Maciel Villela (bernardovillela@gmail.com) on 2015-02-11T02:28:23Z No. of bitstreams: 1 Tese_versao_final_Bernardo_Villela.pdf: 977767 bytes, checksum: fdf2c1c96387a401d0ee81c883965af9 (MD5) / Approved for entry into archive by GILSON ROCHA MIRANDA (gilson.miranda@fgv.br) on 2015-03-06T19:04:46Z (GMT) No. of bitstreams: 1 Tese_versao_final_Bernardo_Villela.pdf: 977767 bytes, checksum: fdf2c1c96387a401d0ee81c883965af9 (MD5) / Approved for entry into archive by Marcia Bacha (marcia.bacha@fgv.br) on 2015-03-12T19:40:11Z (GMT) No. of bitstreams: 1 Tese_versao_final_Bernardo_Villela.pdf: 977767 bytes, checksum: fdf2c1c96387a401d0ee81c883965af9 (MD5) / Made available in DSpace on 2015-03-12T19:41:05Z (GMT). No. of bitstreams: 1 Tese_versao_final_Bernardo_Villela.pdf: 977767 bytes, checksum: fdf2c1c96387a401d0ee81c883965af9 (MD5) Previous issue date: 2014-05-30 / The automotive sector is fairly representative in the national economy, which motivated this study on the demand for new vehicles in Brazil. The present work discusses an econometric model which allows the calculation of the price, income and credit elasticities on the demand for vehicles in the light of the cointegration theory. Analyzing the period from June 2000 to January 2014, it is possible to observe three structural breaks. These breaks divide the time interval analyzed in four sub-periods, each with its own dynamics. The perception of this fact often overlooked in previous literature is one of the main findings of this work. In fact, very different conclusions would be obtained by considering the entire period without breaks. It is also worth noting that credit has been relevant to the demand in all sub-periods. Therefore, it seems to be effective to implement a policy to boost the automotive sector by encouraging credit. Finally, it is said that in recent history for each 1% reduction in car price, demand has increased in a 30% higher rate. This result corroborates the perception that tax cuts may boost the sale of vehicles. / O setor automotivo é bastante representativo na economia nacional, o que motivou a realização deste estudo sobre a demanda por veículos novos no Brasil. No presente trabalho, é abordado um modelo econométrico que permite calcular as elasticidades do preço, da renda e do crédito em relação à demanda por veículos, sob a luz da teoria da cointegração. Analisando-se o período de junho de 2000 a janeiro de 2014, verifica-se a ocorrência de três quebras estruturais. Estas quebras dividem o intervalo de tempo analisado em quatro subperíodos, cada um com uma dinâmica própria. A constatação deste fato, muitas vezes negligenciado na literatura científica prévia, é um dos principais resultados deste trabalho: afinal, conclusões bastante distintas seriam obtidas ao se considerar o período todo sem quebras. Vale também destacar que o crédito se mostrou relevante para a demanda em todos os subperíodos: acredita-se, portanto, ser efetiva a implementação de uma política de estímulo ao setor, por meio do incentivo ao crédito. Por último, comenta-se que, no passado recente, a cada 1% de redução no preço do automóvel, a demanda aumentou numa proporção 30% maior. Este resultado corrobora com a percepção de que a redução de impostos pode alavancar a venda de veículos.