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Empirical econometric evaluation of alternative methods of dealing with missing values in investment climate surveys

Author

Listed:
  • Escribano, Alvaro
  • Pena, Jorge
  • Guasch, J. Luis

Abstract

Investment climate Surveys are valuable instruments that improve our understanding of the economic, social, political, and institutional factors determining economic growth, particularly in emerging and transition economies. However, at the same time, they have to overcome some difficult issues related to the quality of the information provided; measurement errors, outlier observations, and missing data that are frequently found in these datasets. This paper discusses the applicability of recent procedures to deal with missing observations in investment climate surveys. In particular, it presents a simple replacement mechanism -- for application in models with a large number of explanatory variables -- which in turn is a proxy of two methods: multiple imputations and an export-import algorithm. The performance of this method in the context of total factor productivity estimation in extended production functions is evaluated using investment climate surveys from four countries: India, South Africa, Tanzania, and Turkey. It is shown that the method is very robust and performs reasonably well even under different assumptions on the nature of the mechanism generating missing data.

Suggested Citation

  • Escribano, Alvaro & Pena, Jorge & Guasch, J. Luis, 2010. "Empirical econometric evaluation of alternative methods of dealing with missing values in investment climate surveys," Policy Research Working Paper Series 5346, The World Bank.
  • Handle: RePEc:wbk:wbrwps:5346
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    References listed on IDEAS

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    1. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    2. Guasch, J. Luis & Escribano, Álvaro, 2008. "Robust methodology for investment climate assessment on productivity: application to investment climate surveys from Central America," UC3M Working papers. Economics we081911, Universidad Carlos III de Madrid. Departamento de Economía.
    3. Pena, Jorge & Guasch, J. Luis & Escribano, Álvaro, 2009. "Assessing the impact of infrastructure quality on firm productivity in Africa: Cross‐country comparisons based on investment climate surveys from 1999 to 2005," UC3M Working papers. Economics we098649, Universidad Carlos III de Madrid. Departamento de Economía.
    4. Newey, Whitney K., 1984. "A method of moments interpretation of sequential estimators," Economics Letters, Elsevier, vol. 14(2-3), pages 201-206.
    5. Pena, Jorge & Orte, Manuel De & Guasch, J. Luis & Escribano, Álvaro, 2008. "Investment climate and firm’s economic performance: econometric methodology and application to Turkey's investment climate survey," UC3M Working papers. Economics we082113, Universidad Carlos III de Madrid. Departamento de Economía.
    6. Pena, Jorge & Orte, Manuel De & Guasch, J. Luis & Escribano, Álvaro, 2008. "Investment climate assessment based on demean Olley and Pakes decompositions: methodology and application to Turkey's investment climate survey," UC3M Working papers. Economics we082012, Universidad Carlos III de Madrid. Departamento de Economía.
    7. Escribano, Alvaro & Guasch, J. Luis, 2005. "Assessing the impact of the investment climate on productivity using firm-level data : methodology and the cases of Guatemala, Honduras, and Nicaragua," Policy Research Working Paper Series 3621, The World Bank.
    8. Cameron,A. Colin & Trivedi,Pravin K., 2005. "Microeconometrics," Cambridge Books, Cambridge University Press, number 9780521848053, December.
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    More about this item

    Keywords

    E-Business; Statistical&Mathematical Sciences; Economic Theory&Research; Information Security&Privacy; Information and Records Management;

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models

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