Modeling Kyrgyzstan
Cincibuch, M.; Kejak, Michal; Vávra, D.; Auda, O.; Aslanyan, Gurgen; Baksa, D.; Bečičková, Hana; Daniš, P.; Hřebíček, Hynek; Janjgava, Batlome; Kacer, R.; Kameník, O.; Konopecký, F.; Lukáč, J.; Mirzoyan, Armen; Motl, Tomáš; Musil, K.; Plotnikov, S.; Remo, A.; Szilágyi, K.; Vlček, J.
2013 - anglický The report consists of three chapters. Chapter 1 - Introduction is concluded with a short description of Kyrgyz economy and some of the stylized facts. The report continues with two chapters. Chapter 2 describes the structural model which lies at the heart of the FPAS. It summarizes the main features of the Kyrgyz economy relevant for building the structural model and describes in detail the most distinctive parts of the model. The chapter concludes with an analysis of the model properties and an interpretation of past economic developments in Kyrgyzstan through the lenses of the model. Chapter 3 evaluates how the FPAS performs empirically. The forecasting power is assessed by in-sample comparison with the standard random-walk benchmark. We conclude that the FPAS performs satisfactorily in this comparison. Klíčová slova: Kyrgyzstan; forecasting and policy analysis system Plné texty jsou dostupné na jednotlivých ústavech Akademie věd ČR. Modeling Kyrgyzstan

The report consists of three chapters. Chapter 1 - Introduction is concluded with a short description of Kyrgyz economy and some of the stylized facts. The report continues with two chapters. Chapter ...

Cincibuch, M.; Kejak, Michal; Vávra, D.; Auda, O.; Aslanyan, Gurgen; Baksa, D.; Bečičková, Hana; Daniš, P.; Hřebíček, Hynek; Janjgava, Batlome; Kacer, R.; Kameník, O.; Konopecký, F.; Lukáč, J.; Mirzoyan, Armen; Motl, Tomáš; Musil, K.; Plotnikov, S.; Remo, A.; Szilágyi, K.; Vlček, J.
Národohospodářský ústav, 2013

Modeling Moldova
Cincibuch, M.; Kejak, Michal; Vávra, D.; Auda, O.; Aslanyan, Gurgen; Baksa, D.; Bečičková, Hana; Daniš, P.; Hřebíček, Hynek; Janjgava, Batlome; Kacer, R.; Kameník, O.; Konopecký, F.; Lukáč, J.; Mirzoyan, Armen; Motl, Tomáš; Musil, K.; Plotnikov, S.; Remo, A.; Szilágyi, K.; Vlček, J.
2013 - anglický The report has two chapters. Chapter 1 describes the structural model which lies at the heart of the FPAS. It summarizes the main features of the Moldovan economy relevant for building the structural model and describes in detail the most distinctive parts of the model. The chapter concludes with an analysis of the model properties and an interpretation of past economic developments in Moldova through the lens of the model. Chapter 2 evaluates how the FPAS performs empirically. The forecasting power is assessed by in-sample comparison with the standard random-walk benchmark. We conclude that the FPAS performs satisfactorily in this comparison. Klíčová slova: Moldova; forecasting and policy analysis system Plné texty jsou dostupné na jednotlivých ústavech Akademie věd ČR. Modeling Moldova

The report has two chapters. Chapter 1 describes the structural model which lies at the heart of the FPAS. It summarizes the main features of the Moldovan economy relevant for building the structural ...

Cincibuch, M.; Kejak, Michal; Vávra, D.; Auda, O.; Aslanyan, Gurgen; Baksa, D.; Bečičková, Hana; Daniš, P.; Hřebíček, Hynek; Janjgava, Batlome; Kacer, R.; Kameník, O.; Konopecký, F.; Lukáč, J.; Mirzoyan, Armen; Motl, Tomáš; Musil, K.; Plotnikov, S.; Remo, A.; Szilágyi, K.; Vlček, J.
Národohospodářský ústav, 2013

Sourcing patterns of FDI activity and their impact on the domestic economy
Nikolovová, Pavla
2013 - anglický Klíčová slova: foreign direct investment; inter-industry interactions; international trade flows Plné texty jsou dostupné na jednotlivých ústavech Akademie věd ČR. Sourcing patterns of FDI activity and their impact on the domestic economy

Nikolovová, Pavla
Národohospodářský ústav, 2013

Modeling Kazakhstan
Cincibuch, M.; Kejak, Michal; Vávra, D.; Auda, O.; Aslanyan, Gurgen; Baksa, D.; Bečičková, Hana; Daniš, P.; Hřebíček, Hynek; Janjgava, Batlome; Kacer, R.; Kameník, O.; Konopecký, F.; Lukáč, J.; Mirzoyan, Armen; Motl, Tomáš; Musil, K.; Plotnikov, S.; Remo, A.; Szilágyi, K.; Vlček, J.
2013 - anglický The report has two chapters. Chapter 1 describes the structural model lies at the heart of the FPAS. It summarizes the main features of the Kazah economy relevant for building the structural model and describes in detail the most distinctive parts of the model. The chapter concludes with an analysis of the model properties and an interpretation of past economic developments in Kazakhstan through the optic of the model. Chapter 2 evaluates how the FPAS performs empirically. The forecasting power is as- sessed by in-sample comparison with the standard random-walk benchmark. We con- clude that the FPAS performs satisfactorily in this comparison. Klíčová slova: Kazakhstan; forecasting and policy analysis system Plné texty jsou dostupné na jednotlivých ústavech Akademie věd ČR. Modeling Kazakhstan

The report has two chapters. Chapter 1 describes the structural model lies at the heart of the FPAS. It summarizes the main features of the Kazah economy relevant for building the structural model and ...

Cincibuch, M.; Kejak, Michal; Vávra, D.; Auda, O.; Aslanyan, Gurgen; Baksa, D.; Bečičková, Hana; Daniš, P.; Hřebíček, Hynek; Janjgava, Batlome; Kacer, R.; Kameník, O.; Konopecký, F.; Lukáč, J.; Mirzoyan, Armen; Motl, Tomáš; Musil, K.; Plotnikov, S.; Remo, A.; Szilágyi, K.; Vlček, J.
Národohospodářský ústav, 2013

Modeling South Africa
Cincibuch, M.; Kejak, Michal; Vávra, D.; Auda, O.; Aslanyan, Gurgen; Baksa, D.; Bečičková, Hana; Daniš, P.; Hřebíček, Hynek; Janjgava, Batlome; Kacer, R.; Kameník, O.; Konopecký, F.; Lukáč, J.; Mirzoyan, Armen; Motl, Tomáš; Musil, K.; Plotnikov, S.; Remo, A.; Szilágyi, K.; Vlček, J.
2013 - anglický The report has two chapters. Chapter 1 describes the structural model lies at the heart of the FPAS. It summarizes the main features of the South African economy relevant for building the structural model and describes in detail the most distinctive parts of the model. The chapter concludes with an analysis of the model properties and an interpretation of past economic developments in South Africa through the optic of the model. Chapter 2 evaluates how the FPAS performs empirically. The forecasting power is assessed by in-sample comparison with the standard random-walk benchmark. We conclude that the FPAS performs satisfactorily in this comparison. Klíčová slova: South Africa; forecasting and policy analysis system Plné texty jsou dostupné na jednotlivých ústavech Akademie věd ČR. Modeling South Africa

The report has two chapters. Chapter 1 describes the structural model lies at the heart of the FPAS. It summarizes the main features of the South African economy relevant for building the structural ...

Cincibuch, M.; Kejak, Michal; Vávra, D.; Auda, O.; Aslanyan, Gurgen; Baksa, D.; Bečičková, Hana; Daniš, P.; Hřebíček, Hynek; Janjgava, Batlome; Kacer, R.; Kameník, O.; Konopecký, F.; Lukáč, J.; Mirzoyan, Armen; Motl, Tomáš; Musil, K.; Plotnikov, S.; Remo, A.; Szilágyi, K.; Vlček, J.
Národohospodářský ústav, 2013

Risk preferences under acute stress
Cingl, L.; Cahlíková, Jana
2013 - anglický Many important decisions are made under stress and they often involve risky alternatives. There has been ample evidence that stress impairs decision making in cognitive as well as in affective domains, but still very little is known about whether individual attitudes to risk change with exposure to acute stress. To directly evaluate the causal effect of stress on risk attitudes, we adopt an experimental approach in which we randomly expose participants to a psychosocial stressor in the form of a standard laboratory stress-induction procedure: the Trier Social Stress Test for Groups. Risk preferences are elicited using an incentive compatible task, which has been previously shown to predict risk-oriented behavior out of the laboratory. Klíčová slova: risk preferences; stress; Trier Social Stress Test for Groups; cortisol Plné texty jsou dostupné na jednotlivých ústavech Akademie věd ČR. Risk preferences under acute stress

Many important decisions are made under stress and they often involve risky alternatives. There has been ample evidence that stress impairs decision making in cognitive as well as in affective ...

Cingl, L.; Cahlíková, Jana
Národohospodářský ústav, 2013

Explaining the strength and the efficiency of monetary policy transmission: a panel of impulse responses from a time-varying parameter model
Matějů, Jakub
2013 - anglický Klíčová slova: monetary policy transmission; TVP-VAR; sign-restrictions Plné texty jsou dostupné na jednotlivých ústavech Akademie věd ČR. Explaining the strength and the efficiency of monetary policy transmission: a panel of impulse responses from a time-varying parameter model

Matějů, Jakub
Národohospodářský ústav, 2013

Correlations between biofuels and related commodities: a taxonomy perspective
Krištoufek, L.; Janda, Karel; Zilberman, D.
2012 - anglický Klíčová slova: biofuels; networks; minimal spanning tree Plné texty jsou dostupné na jednotlivých ústavech Akademie věd ČR. Correlations between biofuels and related commodities: a taxonomy perspective

Krištoufek, L.; Janda, Karel; Zilberman, D.
Národohospodářský ústav, 2012

Dissent voting behavior of central bankers: what do we really know?
Horváth, R.; Rusnák, Marek; Šmídková, K.; Zápal, J.
2012 - anglický Klíčová slova: monetary policy; voting record; dissent Plné texty jsou dostupné na jednotlivých ústavech Akademie věd ČR. Dissent voting behavior of central bankers: what do we really know?

Horváth, R.; Rusnák, Marek; Šmídková, K.; Zápal, J.
Národohospodářský ústav, 2012

Regional distribution of German-Czech multinationals on the domestic market
Moritz, M.; Münich, Daniel; Schäffler, J.; Srholec, Martin
2012 - anglický The article deals with the domestic location of German multinational firms which have affiliates in the Czech Republic. Due to the common border the Czech Republic represents an attractive target country for both vertical and horizontal direct investments. On the one hand, the still existing wage gap offers the opportunity to offshore activities abroad by reason of cost advantages. On the other hand, the increasing purchasing power of Czech customers provides favorable chances to acquire a new market. On the basis of a register of firms made available by the German-Czech Chamber of Industry and Commerce we present findings on the growing economic integration between the two countries. Almost 80% of the headquarters of German investors are located in the four federal states Bavaria, Baden-Wuerttemberg, Hesse and North Rhine-Westphalia. The eastern German New Laender are far less engaged in investments in the neigh-boring country. We use count data models in order to account for the distribution of the dependent variable, i.e. the number of investors in the German domestic regions. Controlling for several economic factors it can be concluded that the headquarters of German multinationals investing in the Czech Republic are preferably located in areas with high regional GDP. The distance to the common border plays an important role for the decision to enter the Czech market. In addition, regions that are situated directly at the German-Czech border are involved at an above-average rate in foreign direct investment. Thereby, location patterns differ between manufacturing firms and both trading and service companies. Klíčová slova: economic integration; multinational firms; foreign direct investment Plné texty jsou dostupné na jednotlivých ústavech Akademie věd ČR. Regional distribution of German-Czech multinationals on the domestic market

The article deals with the domestic location of German multinational firms which have affiliates in the Czech Republic. Due to the common border the Czech Republic represents an attractive target ...

Moritz, M.; Münich, Daniel; Schäffler, J.; Srholec, Martin
Národohospodářský ústav, 2012