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Modeling Rwanda
Auda, O. ; Bečičková, H. ; Cincibuch, M. ; Čižmár, P. ; Hřebíček, H. ; Janjgava, Batlome ; Kameník, O. ; Katreniaková, D. ; Kejak, Michal ; Lamazoshvili, Beka ; Lukáč, J. ; Machala, J. ; Menkyna, Robert ; Musil, K. ; Rasulova, Khanifakhon ; Remo, A. ; Vávra, D. ; Vlček, J. ; Zemčík, Petr
The report consists of four chapters. Chapter 1 assesses the historical performance of forecasts for Rwanda. Historical forecasts since January 2010 are compared with the actual data as well as with projections of other institutions. Chapter 2 presents the structural macroeconomic model, its changes compared to the December 2009 version, and its properties captured by impulse-response functions and by variance decompositions of model’s variables in terms of the model shocks. Important is the part on the model-consistent interpretation of the recent economic Rwanda history. The section describing Bayesian vector autoregressions used for the near-term forecasting concludes. Chapter 3 evaluates how the models perform empirically. On the contrary to Chapter 1, the forecasting power is assessed both in the sample as well as by using an out-of-thesample comparison with the standard random-walk benchmark. We conclude that the FPAS performs satisfactorily in this comparison. The last chapter gives an overview of the considerable country database that has been compiled.
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Modeling Ethiopia
Auda, O. ; Bečičková, H. ; Cincibuch, M. ; Čižmár, P. ; Hřebíček, H. ; Janjgava, Batlome ; Kameník, O. ; Katreniaková, D. ; Kejak, Michal ; Lamazoshvili, Beka ; Lukáč, J. ; Machala, J. ; Menkyna, Robert ; Musil, K. ; Rasulova, Khanifakhon ; Remo, A. ; Vávra, D. ; Vlček, J. ; Zemčík, Petr
The report has three chapters. Chapter 1 summarizes the main features of the Ethiopian economy relevant for building the forecasting and policy analysis system (FPAS). Chapter 2 presents the structural model, and near-term forecast models. Chapter 3 evaluates how the models perform empirically.
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Modeling Haiti
Auda, O. ; Bečičková, H. ; Cincibuch, M. ; Čižmár, P. ; Hřebíček, H. ; Janjgava, Batlome ; Kameník, O. ; Katreniaková, D. ; Kejak, Michal ; Lamazoshvili, Beka ; Lukáč, J. ; Machala, J. ; Menkyna, Robert ; Musil, K. ; Rasulova, Khanifakhon ; Remo, A. ; Vávra, D. ; Vlček, J. ; Zemčík, Petr
The report has four chapters. Chapter 2 summarizes the main features of the Haitian economy relevant for building the forecasting and policy analysis system (FPAS). Chapter 3 presents the structural macroeconomic model and its properties captured by the decompositions of variances of the model’s variables in terms of the model shocks and by its impulse-response functions. This chapter also describes Bayesian vector autoregressions used for the near-term forecasting. Chapter 4 evaluates how the models perform empirically. The forecasting power is assessed both in the sample and by using an out-of-the-sample comparison with the standard random-walk benchmark. We conclude that the FPAS performs satisfactorily in this comparison.
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Modeling Tanzania
Auda, O. ; Bečičková, H. ; Cincibuch, M. ; Čižmár, P. ; Hřebíček, H. ; Janjgava, Batlome ; Kameník, O. ; Katreniaková, D. ; Kejak, Michal ; Lamazoshvili, Beka ; Lukáč, J. ; Machala, J. ; Menkyna, Robert ; Musil, K. ; Rasulova, Khanifakhon ; Remo, A. ; Vávra, D. ; Vlček, J. ; Zemčík, Petr
The report has three chapters. Chapter 1 summarizes the main features of the Tanzanian economy relevant for building the FPAS. Chapter 2 presents the structural macroeconomic model and its properties captured by the decompositions of variances of the model’s variables in terms of the model shocks and by its impulse-response functions. This chapter also describes Bayesian vector autoregressions used for the near-term forecasting. Chapter 3 evaluates how the models perform empirically. The forecasting power is assessed both in the sample and by using an out-of-the-sample comparison with the standard random-walk benchmark. We conclude that the FPAS performs satisfactorily in this comparison.
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Modeling Nigeria
Auda, O. ; Bečičková, H. ; Cincibuch, M. ; Čižmár, P. ; Hřebíček, H. ; Janjgava, Batlome ; Kameník, O. ; Katreniaková, D. ; Kejak, Michal ; Lamazoshvili, Beka ; Lukáč, J. ; Machala, J. ; Menkyna, Robert ; Musil, K. ; Rasulova, Khanifakhon ; Remo, A. ; Vávra, D. ; Vlček, J. ; Zemčík, Petr
The report has three chapters. Chapter 1 summarizes the main features of the Nigerian economy relevant for building the FPAS. Chapter 2 presents the structural macroeconomic model and its properties captured by the decompositions of variances of the model’s variables in terms of the model shocks and by its impulse-response functions. This chapter also describes Bayesian vector autoregressions used for the near-term forecasting. Chapter 3 evaluates how the models perform empirically. The forecasting power is assessed both in the sample and by using an out-of-the-sample comparison with the standard random-walk benchmark. We conclude that the FPAS performs satisfactorily in this comparison.
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Modeling Kenya
Auda, O. ; Bečičková, H. ; Cincibuch, M. ; Čižmár, P. ; Hřebíček, H. ; Janjgava, Batlome ; Kameník, O. ; Katreniaková, D. ; Kejak, Michal ; Lamazoshvili, Beka ; Lukáč, J. ; Machala, J. ; Menkyna, Robert ; Musil, K. ; Rasulova, Khanifakhon ; Remo, A. ; Vávra, D. ; Vlček, J. ; Zemčík, Petr
The report has three chapters. Chapter 1 summarizes the main features of the Kenyan economy relevant for building the FPAS. Chapter 2 presents the structural macroeconomic model and its properties captured by the decompositions of variances of the model’s variables in terms of the model shocks and by its impulse-response functions. This chapter also describes Bayesian vector autoregressions used for the near-term forecasting. Chapter 3 evaluates how the models perform empirically. The forecasting power is assessed both in the sample and by using an out-of-the-sample comparison with the standard random-walk benchmark. We conclude that the FPAS performs satisfactorily in this comparison.
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Elektronová spektro-mikroskopie s mnohakanálovou detekcí signálu
Čižmár, Petr
Cílem disertace je studium mnohakanálové spektroskopie elektronů (sekundárních, pružně i nepružně odražených a Augerových) v rastrovacím elektronovém mikroskopu, a to s ohledem na různé typy analyzátorů a detektorů a s přihlédnutím k poměru signálu k šumu v detektovaných signálech. Dalším cílem je vytvoření softwaru pro elektronické zpracování obrazu vzorku zprostředkujícího kombinovanou analytickou a mikroskopickou informaci. V experimentální části je jedním z hlavních cílů ověření metodiky na ultravysokovakuovém mikroskopu s pomalými elektrony, který v rámci řešení této disertace bude vybaven paralelním hyperbolickým analyzátorem elektronů.
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Optická část mnohakanálového energiového analyzátoru elektronů
Čižmár, Petr
Nový mnohakanálový energiový analyzátor sestává ze dvou základních částí. Elektronově optická část separuje vstupující elektrony podle energií, následně elektrony dopadají na scintilační stínítko. Dále optická část promítá světelný signál na detekční CCD; existuje zde několik možností provedení
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