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  1. Inflation and income inequality
    is food inflation different?
    Author: Walsh, James P.; Yu, Jiangyan
    Published: 2012; ©2012
    Publisher:  Internat. Monetary Fund, Washington, DC

    There is an extensive literature noting that high inflation can add to income inequality, and a parallel literature assessing the effect of rising food prices on the poor. This paper attempts to combine these strands by dividing inflation into food... more

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    There is an extensive literature noting that high inflation can add to income inequality, and a parallel literature assessing the effect of rising food prices on the poor. This paper attempts to combine these strands by dividing inflation into food and nonfood inflation and assessing whether food inflation affects income inequality differently from nonfood inflation. In an international sample and a sample of Chinese provinces, nonfood inflation exacerbates income inequality while the role of food inflation is more mixed. In a sample of Indian states broken down into urban and rural areas, we

     
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    Source: Union catalogues
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9781475504163; 9781475533309
    Series: IMF working paper ; 12/147
    IMF Working Papers
    Subjects: Inflation; Kerninflation; Lebensmittelpreis; Einkommensverteilung; Indien; China; Income distribution; Food prices; Inflation (Finance); Food prices; Income distribution; Inflation (Finance); Electronic books
    Scope: Online-Ressource (PDF-Datei: 21 S., 1,045 KB), graph. Darst.
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    Includes bibliographical references

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    Cover; Contents; I. Introduction and Background; II. Stylized Facts; A. Inflation and Macroeconomic Data; B. Inequality Data; Figures; Figure 1: Cross Country: GDP Per Capita and Change of Gini, 2000-2010; Figure 2: Cross Country: Food Inflation and Change of Gini, 2000-2010; Figure 3: Cross Country: Non-food Inflation and Change of Gini, 2000-2010; C. China; Figure 4. China: Provincial GDP Per Capita and Change of Inequality, 2000-2005; Figure 5. China: Food Inflation and Change of Theil Index, 2000-2005; D. India; E. Other Data

    Figure 6. China: Non-food Inflation and Change of Theil Index, 2000-2005Figure 7. India: Inequality and GDP per capita by State; Figure 8. Per capita GDP growth and change in GINI; III. Methodology; IV. Results; A. International Sample; B. China; C. India; V. Conclusion; Tables; 1. International Sample: Headline Inflation; 2. International Sample: Food and Nonfood CPI; 3. China: Headline Inflation; 4. China: Food and Nonfood CPI; 5. India: Headline CPI, Rural Areas; 6. India: Headline CPI, Urban Areas; 7. India: Food and Nonfood CPI, Rural Areas; 8. India: Food and Nonfood CPI, Urban Areas

    References
  2. What drives the POLONIA spread in Poland?
    Author: Lu, Yinqiu
    Published: 2012
    Publisher:  Internat. Monetary Fund, Washington, DC

    Since the start of the 2008 - 09 financial crisis, the Polish Overnight Index Average (POLONIA) has persistently been below the policy rate, suggesting a limited influence of the NBP's open market operations on the short-term interbank rate. In this... more

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    Since the start of the 2008 - 09 financial crisis, the Polish Overnight Index Average (POLONIA) has persistently been below the policy rate, suggesting a limited influence of the NBP's open market operations on the short-term interbank rate. In this regard, this paper analyzes the behavior of the POLONIA spread and explore several potential factors that could influence the spread. An empirical analysis confirms that the negative POLONIA spread is related to a few factors, which include the existence of the structural liquidity in the banking system; bank's unwillingness to lock up liquidity in

     
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    ISBN: 9781475505658; 9781475571387
    Series: IMF working paper ; 12/215
    IMF Working Papers
    Subjects: Geldpolitik; Inflationsbekämpfung; Polen; Monetary policy; Inflation (Finance); Monetary policy -- Poland; Inflation (Finance) -- Poland; Electronic books
    Scope: Online-Ressource (PDF-Datei: 18 S., 1,416 KB), graph. Darst.
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    Cover; Contents; I. Introduction; II. POLONIA and its Deviation From the Policy Rate; III. Determinants of the POLONIA Spread: Predictions; A. Liquidity Supply; B. Liquidity Demand; C. External Factors; D. Structure of the Interbank Market; IV. Empirical Analysis; A. The Empirical Model; Tables; 1. Predictions of the Impact of the Determinants; B. Empirical Results; 2. Variables in the Mean and Volatility Equations; V. Conclusion and Policy Implications; 3. Estimated GARCH Parameters; Appendix: I. Structural Liquidity; References
  3. Inflation responses to commodity price shocks
    how and why do countries differ?
    Author: Gelos, Gaston; Ustyugova, Yulia
    Published: 2012
    Publisher:  Internat. Monetary Fund, Washington, DC

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    Source: Union catalogues
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    ISBN: 9781475510249; 9781475551754
    Series: IMF working paper ; 12/225
    Subjects: Rohstoffpreis; Inflation; Phillips-Kurve; Welt; Inflation (Finance); Commodity control
    Scope: Online-Ressource (PDF-Datei: 31 S., 664 KB), graph. Darst.
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    Includes bibliographical references

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  4. Public debt dynamics
    the effects of austerity, inflation, and growth shocks
    Author: Cherif, Reda; Hasanov, Fuad
    Published: 2012; ©2012
    Publisher:  Internat. Monetary Fund, Washington, DC

    We study how macroeconomic shocks affect U.S. public debt dynamics using a VAR with debt feedback. Following a fiscal austerity shock, the debt ratio initially declines and then returns to its pre-shock path. Yet, the effect is not statistically... more

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    Universitätsbibliothek Erfurt / Forschungsbibliothek Gotha, Universitätsbibliothek Erfurt
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    We study how macroeconomic shocks affect U.S. public debt dynamics using a VAR with debt feedback. Following a fiscal austerity shock, the debt ratio initially declines and then returns to its pre-shock path. Yet, the effect is not statistically significant. In a weak economic environment, the likelihood of a self-defeating austerity shock is much higher than in normal times. An inflation shock only slightly reduces the debt ratio for a few quarters. A positive growth shock unambiguously lowers debt. In our specification, the debt ratio is stationary, whereas a VAR excluding debt may imply an

     
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    Source: Union catalogues
    Language: English
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    ISBN: 9781475510553; 9781475565546
    Series: IMF working paper ; 12/230
    IMF Working Papers
    Subjects: Öffentliche Schulden; Schock; Inflation; Wirtschaftswachstum; USA; Inflation (Finance); Debts, Public; Debts, Public; Inflation (Finance); Electronic books
    Scope: Online-Ressource (PDF-Datei: 27 S., 1,040 KB), graph. Darst.
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    Cover; Abstract; Contents; I. Introduction; II. Related Literature; III. Empirical Model, Estimation, and Data; A. Empirical Model; B. Estimation and Impulse Responses; C. Data and Descriptive Statistics; IV. Public Debt Dynamics and Impulse Responses; A. Debt Impulse Responses to an Austerity Shock; B. Debt Impulse Responses to Inflation and Growth Shocks; V. Concluding Remarks; References; Tables; 1. Descriptive Statistics; Figures; 1. Evolution of Public Debt (Percent of GDP, 1947:II-2011:III); 2. Debt Impulse Response: The Effect of a One Standard Deviation Primary Surplus Shock

    3. Decomposition of the Debt Impulse Response under the Narrative Identification4. Debt Impulse Responses to a One Standard Deviation Primary Surplus Shock: Average Initial Conditions (Normal Times); 5. Debt Impulse Responses to a One Standard Deviation Primary Surplus Shock: Initial Conditions of 2011; 6. A Recent History and Forecast of the Debt Ratio Based on the Past Dynamics (2011:IV-); 7. Debt Impulse Responses to Macro Shocks and Decomposition: Blanchard-Perotti Identification; A1. A Comparison of VAR Models: Debt Impulse Responses (GIR Identification); Appendix A

    A2. A Comparison of VAR Models: Debt Forecast, Starting 2011:IVA3. A Comparison of VAR Models: Debt Forecast, Starting 2009:III; Appendix B
  5. Staatsverschuldung und Inflation
    eine empirische Analyse für Deutschland
    Author: Mehnert, Alexander; Nastansky, Andreas
    Published: 2012
    Publisher:  Universitätsverlag Potsdam, Potsdam

    In der vorliegenden Arbeit soll der Zusammenhang zwischen Staatsverschuldung und Inflation untersucht werden. Es werden theoretische Übertragungswege von der Staatsverschuldung über die Geldmenge und die langfristigen Zinsen hin zur Inflation... more

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    In der vorliegenden Arbeit soll der Zusammenhang zwischen Staatsverschuldung und Inflation untersucht werden. Es werden theoretische Übertragungswege von der Staatsverschuldung über die Geldmenge und die langfristigen Zinsen hin zur Inflation gezeigt. Aufbauend auf diesen theoretischen Überlegungen werden die Variablen Staatsverschuldung, Verbraucherpreisindex, Geldmenge M3 und langfristige Zinsen im Rahmen eines Vektor-Fehlerkorrekturmodells untersucht. In der empirischen Analyse werden die Variablen für Deutschland in dem Zeitraum vom 1. Quartal 1991 bis zum 4. Quartal 2010 betrachtet. In ein Vektor-Fehlerkorrekturmodell fließen alle Variablen als potentiell endogen in das Modell ein. Die Ermittlung der Kointegrationsbeziehungen und die Schätzung des Vektor-Fehlerkorrekturmodells erfolgen mithilfe des Johansen-Verfahrens.

     
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    Source: Union catalogues
    Language: German
    Media type: Book
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    ISBN: 9783869561813
    RVK Categories: QL 000
    Series: Potsdamer Schriften zu Statistik und Wirtschaft ; 2
    Subjects: Inflation; Öffentliche Schulden; Geldpolitische Transmission; Kointegration; Kointegration; Schätzung; Deutschland; Debts, Public; Inflation (Finance); Interest rates
    Scope: vii, 108 S., graph. Darst.
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    Zsfassung in engl. Sprache
  6. Inflation and growth in Fiji
    a study on threshold inflation rate
    Author: Jayaraman, T. K.; Chen, Hong; Bhatt, Markand
    Published: 2012
    Publisher:  School of Economics, Univ. of the South Pacific, Suva

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    Series: Working paper / School of Economics, University of the South Pacific ; 2012,07
    Subjects: Inflationsrate; Wirtschaftswachstum; Fidschi; Inflation (Finance); Monetary policy
    Scope: Online-Ressource (19 S.)
  7. Inflation dynamics in Mongolia
    understanding the roller coaster
    Author: Barnett, Steven A.; Bersch, Julia; Ojima, Yasuhisa
    Published: 2012; ©2012
    Publisher:  Internat. Monetary Fund, Washington, DC

    Inflation in Mongolia resembles a roller coaster ride with sharp rises and steep drops. Understanding why is critical for formulating and assessing monetary policy. Food prices are found to be a key driver of inflation, and, not surprising given... more

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    Inflation in Mongolia resembles a roller coaster ride with sharp rises and steep drops. Understanding why is critical for formulating and assessing monetary policy. Food prices are found to be a key driver of inflation, and, not surprising given Mongolia's geography, are determined primarily by local supply conditions, highly seasonal, and subject to large but short-lived shocks (usually weather related). Nonetheless, demand factors are also found to be significant in explaining price movements and empirical evidence suggests that a 10 percent increase in government wages, for example, would p

     
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    Source: Union catalogues
    Language: English
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    ISBN: 9781475505412; 9781475532678
    Series: IMF working paper ; 12/192
    IMF Working Papers
    Subjects: Inflation; Mongolei; Finance; Inflation (Finance); Inflation (Finance) -- Mongolia; Finance -- Mongolia; Finance ; Mongolia; Inflation (Finance) ; Mongolia; Electronic books
    Scope: Online-Ressource (PDF-Datei: 20 S., 1,458 KB), graph. Darst.
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    Cover; Contents; I. Introduction; Figures; 1. Inflation: Headline CPI; 2. Inflation, 1995-2010; II. A Closer Look at the Consumer Price Index; 3. Export Earnings and Fiscal Spending; 4. Administered Price Changes; 5. Inflation: Contributions to Change; 6. Inflation Rates; Tables; 1. Descriptive Statistics of the Overall Inflation Rate and the Main Subcomponents; 7 Seasonal Factors; 8. Inflation Rates (In percent, seasonally adjuted annualized rate month-on-month); 9. Inflation Rates (In percent, seasonally adjusted annualized rate)

    III. Understanding Inflation Through its Time Series PropertiesA. Inflation Persistence and Expectations; 2. Persistence in CPI and its Subcomponents; 10. Inflation: Persistence Shocks; 3. Mongolia and Other Copper Producers; B. Vector Auto-Regression (VAR) Analysis; 11 Impulse Response Functions; IV. Demand-pull Factor of Inflation; A. The Role of Fiscal Spending; 12 Variance Decomposition; 13. Fiscal Spending (In percent of non-mineral GDP); 14. Fiscal Spending (In percent, 4-quarter moving average, year-on-year); 4. Inflationary Impact of Government Spending, 2000-11

    B. The Role of Output Gaps and the Exchange Rate15. Mongolia: Output Gap (2000Q1-2011Q4); 16. Exchange Rates; 5. Phillips-Curve Estimation; V. International Context; A. Commodity Prices; 17. Food Prices; 18. Rice Prices; 19. Wheat and Flour Prices; B. Price Spillovers from Neighboring Countries-China and Russia; 6. China and Russia; VI. Conclusion; Annex. The Ulaanbaatar and National CPIs; References
  8. Food price inflation in India
    causes and cures
    Author: Agrawal, Pradeep; Kumarasamy, Durairaj
    Published: 2012
    Publisher:  Inst. of Economic Growth, Unvi. of Delhi Enclave, Delhi

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    Series: Working paper series / Institute of Economic Growth, University of Delhi Enclave ; 318
    Subjects: Lebensmittelkonsum; Lebensmittelpreis; Ernährungssicherung; Prognose; Food prices; Price regulation; Inflation (Finance); Food supply
    Scope: Online-Ressource (34 S.)
  9. Staatsverschuldung und Inflation
    eine empirische Analyse für Deutschland
    Author: Mehnert, Alexander; Nastansky, Andreas
    Published: 2012
    Publisher:  Universitätsverlag Potsdam, Potsdam

    In der vorliegenden Arbeit soll der Zusammenhang zwischen Staatsverschuldung und Inflation untersucht werden. Es werden theoretische Übertragungswege von der Staatsverschuldung über die Geldmenge und die langfristigen Zinsen hin zur Inflation... more

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    In der vorliegenden Arbeit soll der Zusammenhang zwischen Staatsverschuldung und Inflation untersucht werden. Es werden theoretische Übertragungswege von der Staatsverschuldung über die Geldmenge und die langfristigen Zinsen hin zur Inflation gezeigt. Aufbauend auf diesen theoretischen Überlegungen werden die Variablen Staatsverschuldung, Verbraucherpreisindex, Geldmenge M3 und langfristige Zinsen im Rahmen eines Vektor-Fehlerkorrekturmodells untersucht. In der empirischen Analyse werden die Variablen für Deutschland in dem Zeitraum vom 1. Quartal 1991 bis zum 4. Quartal 2010 betrachtet. In ein Vektor-Fehlerkorrekturmodell fließen alle Variablen als potentiell endogen in das Modell ein. Die Ermittlung der Kointegrationsbeziehungen und die Schätzung des Vektor-Fehlerkorrekturmodells erfolgen mithilfe des Johansen-Verfahrens.

     
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    Source: Union catalogues
    Language: German
    Media type: Book
    Format: Print
    ISBN: 9783869561813
    RVK Categories: QL 000
    Series: Potsdamer Schriften zu Statistik und Wirtschaft ; 2
    Subjects: Inflation; Öffentliche Schulden; Geldpolitische Transmission; Kointegration; Kointegration; Schätzung; Deutschland; Debts, Public; Inflation (Finance); Interest rates
    Scope: vii, 108 S., graph. Darst.
    Notes:

    Zsfassung in engl. Sprache