Bug: Join with Series inconsistent when DataFrame is empty vs when it is not
### Expected

Regardless of the arguments specified, the return of `DataFrame.join` always has the left side's index values and name. In the case of `how='right'`, there should be `np.nan` in the index when the right side does not 'match' a row on the left.

In this case:

``` python
>>> pd.DataFrame([], columns=['gene'], index=pd.Index([], name='family')).join(s), how='right', on='gene')
     gene  gene_id
family              
NaN     NaN        1
```
### Actual / reproduce

Right index is returned for empty dataframe:

``` python
>>> import pandas as pd
>>> s = pd.Series([1], name='gene_id', index=pd.Index([1], name='gene')
>>> pd.DataFrame([], columns=['gene'], index=pd.Index([], name='family')).join(s), how='right', on='gene')
     gene  gene_id
gene              
1     NaN        1
```

Note that it doesn't happen with non-empty frames:

``` python
>>> pd.DataFrame([1], columns=['gene'], index=pd.Index([1], name='family')).join(s), how='right', on='gene')
        gene  gene_id
family               
1          1        1
```
### Version

``` python
>>> pd.show_versions()

INSTALLED VERSIONS
------------------
commit: None
python: 3.5.0.final.0
python-bits: 64
OS: Linux
OS-release: 4.2.5-1-ARCH
machine: x86_64
processor: 
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8

pandas: 0.17.0
nose: None
pip: 7.1.2
setuptools: 18.5
Cython: None
numpy: 1.10.1
scipy: 0.16.1
statsmodels: None
IPython: None
sphinx: None
patsy: None
dateutil: 2.4.2
pytz: 2015.7
blosc: None
bottleneck: 1.0.0
tables: None
numexpr: 2.4.6
matplotlib: 1.5.0
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml: None
bs4: None
html5lib: None
httplib2: None
apiclient: None
sqlalchemy: 1.1.0b1
pymysql: None
psycopg2: None
```
