Economics Letters
ISSN: 0165-1765
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Replication scripts for the MC simulations
Data Types:
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  • File Set
Replication scripts for the Monte Carlo simulations
Data Types:
  • Dataset
  • File Set
The online appendix contains the following two items: 1. word file with a. details on the construction of the Credit Provision dataset – ECB Bank Lending Survey and b. details on the estimation algorithm of the T-VAR model and c. details on the estimation of GIRs. 2. Data of our three credit series, i.e. demand for loans, loan supply and borrowers' quality, in .xlsx
Data Types:
  • Tabular Data
  • Document
  • Dataset
The R scripts and related data files needed for empirical analysis for this paper are included in the zip-file.
Data Types:
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  • File Set
This data set was generated from the laboratory experiment described in this paper.
Data Types:
  • Tabular Data
  • Dataset
These are the data sets used for the analysis in this paper.
Data Types:
  • Tabular Data
  • Dataset
These files facilitate the replication of the Monte Carlo simulation and empirical application results in the paper.
Data Types:
  • Dataset
  • File Set
This dataset is composed of: · List of most powerful BTC mining equipment since 2009. · Calculations about power consumption and source code (Pyton) developed
Data Types:
  • Software/Code
  • Tabular Data
  • Dataset
This data includes weekly prices of three international agricultural commodities - corn, wheat and soybean - for the period 2009 - 2015 from the statistical data portal Index Mundi. The data includes as proxy for the media attention: search queries in Google – the number of weekly searches taken from the Google Trends database. The name of agricultural commodities (corn, wheat, soybean) are used in four languages (English, German, French and Spanish) for the period 2009 - 2015 extracted from the financial portal Investing.com. The search query time series from the Google Trends are normalized and rescaled from 0 to 100 interval that represents the proportion of searched terms in the searched period. Additional variables included in the dataset: temperature in Germany and USA, inflation in Germany and USA, US, German and UK bonds index, the adjusted close value of S&P 500 index, the traded volumes of S&P 500 index and gold and crude oil prices – all extracted from the databases of the Slovak National Bank as explanatory variables.
Data Types:
  • Software/Code
  • Dataset
These are the Stata do files and Matlab code used to run the analysis. The SCF data are publicly available at https://www.federalreserve.gov/econres/scfindex.htm and Forbes data are at https://www.forbes.com/forbes-400. We used an internal SCF dataset (not the public data) to run the analysis, so we cannot post the exact data. But the code posted here will work with the public data.
Data Types:
  • Software/Code
  • Dataset
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