The EFIGE data and GVC variables
VARIABLES AND DATA TYPES
... The memory allocated for the float data type is 4 bytes , for the double data type is 8 bytes, and for the long double 10 bytes. Example[r] ...
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The global operations of European firms : the second EFIGE policy report
... second EFIGE policy report This report uses new, comparable cross-country data on the international activities of 15,000 firms in Austria, France, Germany, Hungary, Italy, Spain and the United ...
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Variables, Constants, and Data Types
... • Note the distinction between a primitive character ‘X’, which holds only one character, and a String object, which can hold a sequence of one or more characters. • Every character st[r] ...
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Variables. Exploratory Data Analysis
... • A distribution is approximately symmetric if the left and right halves are approximately mirror images of each other. • A distribution is skewed to the right if the right half of the data (the larger values) are ...
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Primitive data types, expressions, and variables
... calculated value is smaller than what can be represented using the number of bytes assigned to its type. Again, Java does not detect this error; it’s up to the programmer to handle i[r] ...
The drivers of global value chain (GVC) participation in EU member states
... The variables GDP growth rates, profit tax rates, FDI intensity and wages are sig- nificant and have the expected impact on GVC participation in all three groups of ...the variables of FDI stock or ...
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Exploratory Data Analysis with One and Two Variables
... You can also navigate to Graphics-Histogram to get a wizard to help with the graph. Data Analysis Tip: The default histogram in Stata is a true histogram, where the areas of the bins sum to one. Often people want ...
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Regression Models with Data-based Indicator Variables
... dummy variables, only one other regressor was considered: for each replication these were drawings from the uniform distribution with support in the unit ...
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25 Working with categorical data and factor variables
... factor variables are called indicators or, more explicitly, virtual indicator ...factor variables seldom creates new variables in your dataset, even though the indicators will appear just as if they ...
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Improved Errors-in-Variables Estimators for Grouped Data
... all three Census les (at $75,000 in 1980, $140,000 in 1990, and $175,000 dollars in 2000). I impute earnings for topcoded values as 1.33 times the topcoded value. I exclude individuals who did not work any hours in the ...
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Still standing: how European firms weathered the crisis - The third EFIGE policy report
... This heterogeneity also suggests that one-size-fits-all policies might be ineffective. Understanding the patterns emerging from this heterogeneity may enable govern- ments to better target spending and regulations. ...
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Spillover effects of TTIP on BRICS economies : a dynamic GVC-based CGE model
... NTBs data, we follow the standard approach to model NTBs costs in the GTAP framework, originally developed by Francois (1999, 2001) with support from the European ...
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Measurement of Global Value Chain (GVC) Participation in World Development Report 2020
... Measuring GVC Participation We can understand that with the spread of GVCs, a lot of new questions arise about the measurement of participation and positioning in the globalised production ...in GVC trade, ...
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The application of data mining techniques for the regionalisation of hydrological variables
... in data mining — a search for useful knowledge and models embedded within large data ...three data sets from the south-west of England and Wales; to England, Wales and Scotland (EWS); and to the ...
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Topological obstructions in the way of data-driven collective variables
... collective variables (CVs), capturing the metastability of the system with a few degrees of ...and data-driven approaches to select CVs, often relying on statistical learning meth- ...
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On detecting variables using ROTSE-IIId archival data
... A robust pipeline has been constructed to discover new variables, tran- sients and planetary nebulae from this archival data. In the detection process, different statistical methods were applied to the ...
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Nonparametric regression for dependent data in the errors-in-variables problem
... Most of the existing results on nonparametric estimation in the errors-in- variables problems are focused on the cases of i.i.d. or short-range dependent observations. There are too many papers to mention in the ...
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Multiple Imputation for Multilevel Data with Continuous and Binary Variables
... 180 TABLE 9 Tuning parameters for the several configurations: K the number of clusters, n the number of individuals, λ a scalar multiplying the variance of random effects, ρv the correla[r] ...
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The triggers of competitiveness: the EFIGE cross-country report. Bruegel Blueprint 17, 17 July 2012
... firm-level data was not available. But now firm-level data is available (and processable), the continuation of the traditional approach is a barrier to policymakers accessing a more comprehensive toolkit when ...
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The EU-EFIGE/Bruegel-unicredit dataset. Bruegel Working Paper 2012/13, October 2012
... This intra-sectoral dimension is quite a conundrum for the standard analysis of trade specialisation, which traditionally sets industries and the characteristics of their production processes at the core of the ...
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