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Found 32911 results for '"survey data."', showing 1-10
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  1. Paloviita, Maritta & Virén, Matti (2014): Analysis of forecast errors in micro-level survey data
    This paper studies forecasts errors at the micro level using two alternative survey data sets. The main focus is on inflation and real GDP growth forecasts in the ECB Survey of Professional Forecasters. For comparison, inflation forecasts in the US Survey of Professional Forecasters are also examined.
    RePEc:zbw:bofrdp:rdp2014_008  Save to MyIDEAS
  2. Christian Müller (2009): The information content of qualitative survey data
    The information content of qualitative survey responses are confronted with the corresponding quantitative figures on a firm-by-firm basis. This comparison permits to directly check the information content of the qualitative data. The findings indicate that survey respondents provide correct information, by and large.
    RePEc:oec:stdkab:5ksb9dgxz1r2  Save to MyIDEAS
  3. Marakueva, Maria (2006): Econometric Analysis of Enterprises Investment Activities Based on the Survey Data
    Econometric Analysis of Enterprises Investment Activities Based on the Survey Data
    RePEc:ris:apltrx:0186  Save to MyIDEAS
  4. Jakob Kapeller & Rafael Wildauer (2019): A Comment on Fitting Pareto Tails to Complex Survey Data
    Taking survey data on household wealth as our major example, this short paper discusses some of the issues applied researchers are facing when fitting (type I) Pareto distributions to complex survey data. ... Second, we summarise key results on goodness of fit tests in the context of complex survey data. Taken together we think the paper provides a concise and useful presentation of the fundamentals of Pareto tail fitting with complex survey data.
    RePEc:ico:wpaper:102  Save to MyIDEAS
  5. Wildauer, Rafael & Kapeller, Jakob (2019): A Comment on Fitting Pareto Tails to Complex Survey Data
    Taking survey data on household wealth as our major example, this short paper discusses some of the issues applied researchers are facing when fitting (type I) Pareto distributions to complex survey data. ... Second, we summarise key results on goodness of fit tests in the context of complex survey data. Taken together we think the paper provides a concise and useful presentation of the fundamentals of Pareto tail fitting with complex survey data.
    RePEc:gpe:wpaper:26009  Save to MyIDEAS
  6. Rafael Wildauer & Jakob Kapeller (2020): A comment on fitting Pareto tails to complex survey data
    Taking survey data on household wealth as our major example, this short paper discusses some of the issues applied researchers are facing when fitting (type I) Pareto distributions to complex survey data. The major contribution of this paper is twofold: First, we propose a new and intuitive way of deriving Gabaix and Ibragimov’s (2011) bias correction for Pareto tail estimations from which the generalization to complex survey data follows naturally. Second, we summarise how Kolmogorov-Smirnof and Cramer-von-Mises goodness of fit tests can be generalized to complex survey data. Taken together we think the paper provides a concise and useful presentation of the fundamentals of Pareto tail fitting with complex survey data.
    RePEc:pke:wpaper:pkwp2001  Save to MyIDEAS
  7. Giuseppe Albanese & Guido de Blasio & Paolo Sestito (2013): Trust and preferences: evidence from survey data
    By using the Bank of Italy�s Survey on Household Income and Wealth (SHIW), the paper shows that time preferences and risk preferences are key covariates of self-reported trust. ... Moreover, the results are robust to using a different data source to gauge the role of social preferences and personality traits.
    RePEc:bdi:wptemi:td_911_13  Save to MyIDEAS
  8. Luigi Cannari & Leandro D'Aurizio & Guido de Blasio (2006): The effectiveness of investment subsidies: evidence from survey data
    We use survey information on firms� subjective evaluations of the investment they would have undertaken without financing, finding that subsidies have limited effectiveness as a stimulus.
    RePEc:bdi:opques:qef_4_06  Save to MyIDEAS
  9. Bredl, Sebastian & Storfinger, Nina & Menold, Natalja (2011): A literature review of methods to detect fabricated survey data
    This paper reviews literature dealing with the issue of detecting interviewers who falsify survey data. The most reliable method of detecting falsifiers is through face-to-face reinterviewing of survey participants. ... A review of the present literature clearly indicates that reinterviewing is more effective if the reinterview sample is put together according to some indicators that might be based on metadata, survey data or interviewer characteristics.
    RePEc:zbw:zeudps:56  Save to MyIDEAS
  10. James Mitchell & Richard J. Smith & Martin R. Weale (2011): Efficient Aggregation of Panel Qualitative Survey Data
    Qualitative business survey data are used widely to provide indicators of economic activity ahead of the publication of official data. Traditional indicators exploit only aggregate survey information, namely the proportions of respondents who report “up” and “down”. This paper examines disaggregate or firm-level survey responses. It considers how the responses of the individual firms should be quantified and combined if the aim is to produce an early indication of official output data. ... An application to firm-level survey data from the Confederation of British Industry shows that the proposed indicator can provide early estimates of output growth more accurately than traditional indicators.
    RePEc:lec:leecon:11/53  Save to MyIDEAS
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