Commit f2a4a4d5 authored by Thomas Brand's avatar Thomas Brand

Modify citation.

parent fcb8b034
......@@ -30,9 +30,9 @@ theme <- theme_bw()+ theme(strip.background=element_blank(),
blueObsMacro <- "#0D5BA4"
```
The aim of this post is to automatically update a database as the one used in @Chri14a, but for the Euro area, on the basis of the @Smet03 database.
The aim of this post is to automatically update a database as the one used in [@Chri14a], but for the Euro area, on the basis of the [@Smet03] database.
Four financial series are originally used in @Chri14a :
Four financial series are originally used in [@Chri14a] :
* Loans to non-financial corporations
* Bank lending rates
......@@ -51,7 +51,7 @@ The sources we use here are :
* Bank of International Settlements
* European Central Bank
We take data directly from <a href="https://db.nomics.world/" target="_blank">DBnomics</a>. The DBnomics API can be accessed through R thanks to the RSDMX package written by @rsd16. All the following code is written in R, thanks to the @RCT16 and the @RStu16.
We take data directly from <a href="https://db.nomics.world/" target="_blank">DBnomics</a>. The DBnomics API can be accessed through R thanks to the RSDMX package written by [@rsd16]. All the following code is written in R, thanks to the [@RCT16] and the [@RStu16].
# Loans to non-financial corporations and to households
......@@ -455,7 +455,7 @@ varname
# Entrepreunarial networth
The entrepreunarial networth is approximated through the Dow Jones index for the Euro area, in a similar spirit of what is chosen by @Chri14a in the US database.
The entrepreunarial networth is approximated through the Dow Jones index for the Euro area, in a similar spirit of what is chosen by [@Chri14a] in the US database.
```{r, fig.align="center"}
# Dow Jones euro Euro area (changing composition) - Equity/index - Dow Jones Euro Stoxx Price Index - Historical close, average of observations through period - Euro
......@@ -590,7 +590,7 @@ EA_Finance_rawdata %>%
# Final CMR database for the Euro area
We want to build eventually a database similar to the @Chri14a database, but for the Euro area, on the basis of the @Smet03 database. The database will begin in 1980Q1, as the financial series are not available before. You can download all the raw series <a href="http://shiny.nomics.world/data/EA_CMR_rawdata.csv" target="_blank">here</a>.
We want to build eventually a database similar to the [@Chri14a] database, but for the Euro area, on the basis of the [@Smet03] database. The database will begin in 1980Q1, as the financial series are not available before. You can download all the raw series <a href="http://shiny.nomics.world/data/EA_CMR_rawdata.csv" target="_blank">here</a>.
```{r}
#File EA_SW_rawdata.csv is created via EA_SW_data.Rmd, which can be found on obsmacro under sw03-data
......@@ -615,7 +615,7 @@ EA_CMR_rawdata %>%
```
Then data are normalized by capita and price if needed. Eventually we have 14 series : the 12 series similar to @Chri14a plus loans to households and house price series.
Then data are normalized by capita and price if needed. Eventually we have 14 series : the 12 series similar to [@Chri14a] plus loans to households and house price series.
```{r}
EA_CMR_data <-
EA_CMR_rawdata %>%
......
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