An Institutional Risk Analysis of the Kazakh Economy

This paper investigates the impact of institutions or structural policies on the volatility of income or GDP per capita in transition countries and in Kazakhstan in particular. In the first part of the paper we compare Kazakhstan’s institutional framework with other transition economies based on a broad range of indicators. Using factor analytical tools to reduce the dimensionality of the indicator space we find that in general Kazakhstan’s institutional quality ranks among the lowest of the 24 transition countries investigated. Reform progress was mainly achieved in infrastructure. In the second part of the paper we employ state-of-the-art Bayesian Model Averaging (BMA) to identify institutional and macroeconomic policy areas that have the strongest impact on output volatility in transition economies. The analysis shows that good legal and administrative institutions can help smooth output volatility. Moreover, we also find that inflation and current account volatility and to a smaller extend exchange rate fluctuations are important determinants of output volatility.

[1]  Christian Seiler,et al.  Prediction Qualities of the Ifo Indicators on a Temporal Disaggregated German GDP , 2009 .

[2]  Oliver Hülsewig,et al.  Assessing the Forecast Properties of the CESifo World Economic Climate Indicator: Evidence for the Euro Area , 2007 .

[3]  Jarkko Turunen,et al.  Changes in Human Capital , 2007 .

[4]  Martin Junkernheinrich,et al.  Reform der Gemeindefinanzen , 2003 .

[5]  K. Lahiri,et al.  Measuring Forecast Uncertainty by Disagreement: The Missing Link , 2008 .

[6]  Nina Czernich Downstream market structure and the incentive for innovation in telecommunication infrastructure , 2008 .

[7]  James A. Robinson,et al.  The Colonial Origins of Comparative Development: An Empirical Investigation , 2000 .

[8]  Stefano Tarantola,et al.  Handbook on Constructing Composite Indicators: Methodology and User Guide , 2005 .

[9]  C. I. Jones,et al.  Why Do Some Countries Produce so Much More Output Per Worker than Others? , 1998 .

[10]  Gabriela Schütz,et al.  Does the Quality of Pre-primary Education Pay Off in Secondary School? An International Comparison Using PISA 2003 , 2009 .

[11]  Klaus Wohlrabe,et al.  European Data Watch: Micro Data at the Ifo Institute for Economic Research – The “Ifo Business Survey”, Usage and Access , 2008 .

[12]  G. Wamser,et al.  Who Cares About Corporate Taxation? Asymmetric Tax Effects on Outbound FDI , 2009 .

[13]  A. Raftery,et al.  Discussion: Performance of Bayesian Model Averaging , 2003 .

[14]  T. Beck,et al.  Institution building and growth in transition economies , 2005 .

[15]  J Wagner Micro Data at the Ifo Institute for Economic Research - The "Ifo Business Survey" Usage and Access , 2008 .

[16]  Thiess Büttner,et al.  Spatial Implications of Minimum Wages , 2009 .

[17]  V. Chernozhukov,et al.  Bayesian Econometrics , 2007 .

[18]  D. Madigan,et al.  Bayesian Model Averaging for Linear Regression Models , 1997 .

[19]  L. Wasserman,et al.  Computing Bayes Factors by Combining Simulation and Asymptotic Approximations , 1997 .

[20]  Christina Ziegler Testing Predicitive Ability of Business Cycle Indicators for the Euro Area , 2009 .

[21]  Adrian E. Raftery,et al.  Bayesian model averaging: a tutorial (with comments by M. Clyde, David Draper and E. I. George, and a rejoinder by the authors , 1999 .

[22]  Michael Berlemann,et al.  Kurzfristige Wachstumseffekte von Naturkatastrophen. Eine empirische Analyse der Flutkatastrophe vom August 2002 in Sachsen , 2007 .

[23]  Thiess Buettner,et al.  Quality of life in the regions: results for German Counties , 2009 .

[24]  Steffen R. Henzel,et al.  The Virtues of VAR Forecast Pooling - A DSGE Model Based Monte Carlo Study , 2009 .

[25]  H. Jeffreys,et al.  The Theory of Probability , 1896 .

[26]  Sascha Becker,et al.  Mikrodaten im ifo Institut für Wirtschaftsforschung – Bestand, Verwendung und Zugang , 2007, AStA Wirtschafts und Sozialstatistisches Arch..

[27]  Das grüne Paradoxon: Warum man das Angebot bei der Klimapolitik nicht vergessen darf , 2008 .

[28]  E. W. Morris No , 1923, The Hospital and health review.

[29]  M. Steel,et al.  Benchmark Priors for Bayesian Model Averaging , 2001 .

[30]  Nikolay Robinzonov,et al.  Freedom of Choice in Macroeconomic Forecasting: An Illustration with German Industrial Production and Linear Models , 2008 .

[31]  G. Nicoletti,et al.  Summary Indicators of Product Market Regulation with an Extension to Employment Protection Legislation , 1999 .

[32]  L. M. M.-T. Theory of Probability , 1929, Nature.

[33]  Gérard Roland,et al.  Transition and Economics: Politics, Markets, and Firms , 2000 .

[34]  B. Grundig Why is the share of women willing to work in East Germany larger than in West Germany? A logit model of extensive labour supply decision , 2006 .

[35]  J. Aizenman,et al.  Volatility and Investment: Interpreting Evidence from Developing Countries , 1999 .

[36]  J. Mayr,et al.  VAR Model Averaging for Multi-Step Forecasting , 2007 .

[37]  I. Mihov,et al.  The Case for Restricting Fiscal Policy Discretion , 2002 .

[38]  Guido Schwerdt,et al.  Changes in Human Capital: Implications for Productivity Growth in the Euro Area , 2007 .

[39]  D. Rodrik,et al.  Participatory Politics, Social Cooperation, and Economic Stability , 2000 .

[40]  Gabriele K. Lünser,et al.  Group reputations An experimental foray , 2010 .

[41]  C. D. Litton,et al.  Theory of Probability (3rd Edition) , 1984 .

[42]  C. Roa BUILDING INSTITUTIONS FOR MARKETS , 2002 .

[43]  K. Carstensen,et al.  Money Demand Stability and Inflation Prediction in the Four Largest EMU Countries , 2009 .

[44]  Steffen R. Henzel Learning Trend Inflation – Can Signal Extraction Explain Survey Forecasts? , 2008 .

[45]  T. Eicher,et al.  Germany’s Continued Productivity Slump: An Industry Analysis , 2008 .

[46]  R. Levine,et al.  A Sensitivity Analysis of Cross-Country Growth Regressions , 1991 .

[47]  Edward E. Leamer,et al.  Let's Take the Con Out of Econometrics , 1983 .

[48]  Garey Ramey,et al.  Cross-Country Evidence on the Link between Volatility and Growth , 1994 .

[49]  Gabriela Schütz,et al.  The Economics of Tracking and Non-Tracking , 2007 .

[50]  A. Raftery Bayesian Model Selection in Social Research , 1995 .

[51]  T. Eicher,et al.  Structural Policies and Growth: Time Series Evidence from a Natural Experiment , 2012 .

[52]  Oleh Havrylyshyn,et al.  Institutions Matter in Transition, But So Do Policies , 2000, SSRN Electronic Journal.

[53]  J. Temple,et al.  The Geography of Output Volatility , 2006 .

[54]  Nikolay Robinzonov,et al.  Freedom of Choice in Macroeconomic Forecasting , 2010 .