Example of Real Estate Economics format
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Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format
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Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format Example of Real Estate Economics format
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open access Open Access

Real Estate Economics — Template for authors

Publisher: Wiley
Categories Rank Trend in last 3 yrs
Finance #68 of 288 down down by 6 ranks
Economics and Econometrics #172 of 661 up up by 36 ranks
Accounting #44 of 155 up up by 4 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 119 Published Papers | 376 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 15/07/2020
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Related Journals

open access Open Access
recommended Recommended

Cambridge University Press

Quality:  
High
CiteRatio: 5.3
SJR: 4.657
SNIP: 3.034
open access Open Access
recommended Recommended

Elsevier

Quality:  
High
CiteRatio: 9.6
SJR: 11.673
SNIP: 5.656
open access Open Access
recommended Recommended

Elsevier

Quality:  
High
CiteRatio: 7.4
SJR: 6.607
SNIP: 3.553
open access Open Access

Wiley

Quality:  
High
CiteRatio: 3.6
SJR: 1.055
SNIP: 1.587

Journal Performance & Insights

Impact Factor

CiteRatio

Determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

A measure of average citations received per peer-reviewed paper published in the journal.

1.585

10% from 2018

Impact factor for Real Estate Economics from 2016 - 2019
Year Value
2019 1.585
2018 1.764
2017 1.103
2016 0.758
graph view Graph view
table view Table view

3.2

28% from 2019

CiteRatio for Real Estate Economics from 2016 - 2020
Year Value
2020 3.2
2019 2.5
2018 2.9
2017 2.1
2016 2.1
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has decreased by 10% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 28% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

1.064

7% from 2019

SJR for Real Estate Economics from 2016 - 2020
Year Value
2020 1.064
2019 1.15
2018 2.531
2017 1.215
2016 1.487
graph view Graph view
table view Table view

1.799

4% from 2019

SNIP for Real Estate Economics from 2016 - 2020
Year Value
2020 1.799
2019 1.868
2018 1.981
2017 1.383
2016 0.949
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 7% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 4% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Real Estate Economics

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Wiley

Real Estate Economics

As the official journal of the American Real Estate and Urban Economics Association, Real Estate Economics is the premier journal on real estate topics.  Since 1973, Real Estate Economics has been facilitating communication among academic researchers and industry professionals...... Read More

Finance

Economics and Econometrics

Accounting

Economics, Econometrics and Finance

i
Last updated on
15 Jul 2020
i
ISSN
1080-8620
i
Impact Factor
High - 1.95
i
Open Access
Yes
i
Sherpa RoMEO Archiving Policy
Yellow faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
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Bibliography Name
apa
i
Citation Type
Numbered
[25]
i
Bibliography Example
Beenakker, C.W.J. (2006) Specular andreev reflection in graphene.Phys. Rev. Lett., 97 (6), 067 007. URL 10.1103/PhysRevLett.97.067007.

Top papers written in this journal

Journal Article DOI: 10.1111/1540-6229.00073
The Cross Section of Expected REIT Returns
Andy C. W. Chui1, Sheridan Titman1, K.C. John Wei1
01 Sep 2003 - Real Estate Economics

Abstract:

In this study, we examine the cross-sectional determinants of expected REIT returns. We examine both the pre- and post-1990 periods, since the structure of the REIT market changed substantially around 1990. The determinants of expected returns differ between the two subperiods. In the pre-1990 subperiod, momentum, size, turno... In this study, we examine the cross-sectional determinants of expected REIT returns. We examine both the pre- and post-1990 periods, since the structure of the REIT market changed substantially around 1990. The determinants of expected returns differ between the two subperiods. In the pre-1990 subperiod, momentum, size, turnover and analyst coverage predict REIT returns. In the post-1990 period, momentum is the dominant predictor of REIT returns. Given the strength of the momentum effect in the post-1990 period, we examine it in great detail. For the whole period, and for the post-1990 period where the momentum profit is strongest, our evidence is generally consistent with the studies on common stocks other than REITs. The only striking exception is that we find that momentum is stronger for the larger REITs rather than for the smaller REITs. In our multiple regressions that include the characteristics as well as interactions between past returns and firm characteristics, the turnover–momentum interaction effect provides the most significant results. More specifically, momentum effects are stronger for more liquid REITs. read more read less

Topics:

Momentum (finance) (55%)55% related to the paper, Real estate investment trust (55%)55% related to the paper
550 Citations
open accessOpen access Journal Article DOI: 10.1111/1540-6229.00521
Forecasting Prices and Excess Returns in the Housing Market
Karl E. Case1, Robert J. Shiller2
01 Sep 1990 - Real Estate Economics

Abstract:

The paper uses quarterly indexes of existing single-family home prices estimated with microdata on properties that sold more than once to estimate excess returns to investment in owner-occupied housing. Housing prices and excess returns are estimated over the period 1970:1 to 1986:3 for Atlanta, Chicago, Dallas, San Francisco... The paper uses quarterly indexes of existing single-family home prices estimated with microdata on properties that sold more than once to estimate excess returns to investment in owner-occupied housing. Housing prices and excess returns are estimated over the period 1970:1 to 1986:3 for Atlanta, Chicago, Dallas, San Francisco. Using time-series cross-section regressions we test for the forecastability of prices and excess returns using a number of independent variables. Price changes in one year tend to continue for more than one year in the same direction. The ratio of construction costs to price, changes in adult population and increases in real per capita income all are positively related to excess returns or price changes over the subsequent year. The results add weight to the argument that the market for single-family homes is inefficient. read more read less

Topics:

Investment (macroeconomics) (51%)51% related to the paper, Per capita income (51%)51% related to the paper
View PDF
477 Citations
Journal Article DOI: 10.1111/1540-6229.00591
What Does the Stock Market Tell Us About Real Estate Returns
Joseph Gyourko1, Donald B. Keim1
01 Sep 1992 - Real Estate Economics

Abstract:

This paper analyzes the risks and returns of different types of real estate-related firms traded on the New York and American stock exchanges (NYSE and AMEX). We examine the relation between real estate stock portfolio returns and returns on a standard appraisal-based index, and find that lagged values of traded real estate p... This paper analyzes the risks and returns of different types of real estate-related firms traded on the New York and American stock exchanges (NYSE and AMEX). We examine the relation between real estate stock portfolio returns and returns on a standard appraisal-based index, and find that lagged values of traded real estate portfolio returns can predict returns on the appraisal-based index after controlling for persistence in the appraisal series. The stock market reflects information about real estate markets that is later imbedded in infrequent property appraisals. Additional analysis suggests that the differences in the return and risk characteristics across different types of traded real estate firms can be explained in part by appealing to real estate market fundamentals relating to the degree of dependence of the real estate firm upon rental cash flows from existing buildings. These findings highlight the heterogeneity of securitized real estate-related firms. read more read less

Topics:

Capitalization rate (71%)71% related to the paper, Real estate investment trust (69%)69% related to the paper, Real estate (67%)67% related to the paper, Corporate Real Estate (65%)65% related to the paper, Cost approach (64%)64% related to the paper
467 Citations
Journal Article DOI: 10.1111/J.1540-6229.2010.00286.X
Green Noise or Green Value? Measuring the Effects of Environmental Certification on Office Values
Franz Fuerst1, Patrick McAllister1
01 Mar 2011 - Real Estate Economics

Abstract:

This study investigates the price effects of environmental certification on commercial real estate assets. It is argued that there are likely to be three main drivers of price differences between certified and noncertified buildings. These are additional occupier benefits, lower holding costs for investors and a lower risk pr... This study investigates the price effects of environmental certification on commercial real estate assets. It is argued that there are likely to be three main drivers of price differences between certified and noncertified buildings. These are additional occupier benefits, lower holding costs for investors and a lower risk premium. Drawing upon the CoStar database of U.S. commercial real estate assets, hedonic regression analysis is used to measure the effect of certification on both rent and price. The results suggest that, compared to buildings in the same submarkets, eco-certified buildings have both a rental and sale price premium. read more read less

Topics:

Hedonic regression (59%)59% related to the paper, Real estate (58%)58% related to the paper, Environmental certification (55%)55% related to the paper, Certification (53%)53% related to the paper, Renting (50%)50% related to the paper
View PDF
404 Citations
Journal Article DOI: 10.1111/1540-6229.00463
The Duration of Marketing Time of Residential Housing
Donald R. Haurin1
01 Dec 1988 - Real Estate Economics

Abstract:

The marketing of unique durable goods such as housing presents a good example for the application of search theory. An optimal stopping rule strategy is employed to model sellers' behavior. The primary hypothesis is that the greater the atypicality of a house, the greater the expected variance of offers. Because a maximizing ... The marketing of unique durable goods such as housing presents a good example for the application of search theory. An optimal stopping rule strategy is employed to model sellers' behavior. The primary hypothesis is that the greater the atypicality of a house, the greater the expected variance of offers. Because a maximizing seller will wish to entertain more offers the greater is the variance, the marketing time of atypical houses will be relatively longer than that of standard houses. Using a sample of resale houses, the empirical study uses a failure time model to confirm the hypothesis. Extensions are mentioned, including discussions of the role of the list price and the limitations of the standard hedonic regression approach when applied to housing. read more read less

Topics:

Durable good (54%)54% related to the paper, Hedonic regression (53%)53% related to the paper, Variance (accounting) (51%)51% related to the paper
360 Citations
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Real Estate Economics format uses apa citation style.

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Frequently asked questions

1. Can I write Real Estate Economics in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the Real Estate Economics guidelines and auto format it.

2. Do you follow the Real Estate Economics guidelines?

Yes, the template is compliant with the Real Estate Economics guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in Real Estate Economics?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the Real Estate Economics citation style.

4. Can I use the Real Estate Economics templates for free?

Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for Real Estate Economics.

5. Can I use a manuscript in Real Estate Economics that I have written in MS Word?

Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper Real Estate Economics that you can download at the end.

6. How long does it usually take you to format my papers in Real Estate Economics?

It only takes a matter of seconds to edit your manuscript. Besides that, our intuitive editor saves you from writing and formatting it in Real Estate Economics.

7. Where can I find the template for the Real Estate Economics?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Real Estate Economics's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

8. Can I reformat my paper to fit the Real Estate Economics's guidelines?

Of course! You can do this using our intuitive editor. It's very easy. If you need help, our support team is always ready to assist you.

9. Real Estate Economics an online tool or is there a desktop version?

SciSpace's Real Estate Economics is currently available as an online tool. We're developing a desktop version, too. You can request (or upvote) any features that you think would be helpful for you and other researchers in the "feature request" section of your account once you've signed up with us.

10. I cannot find my template in your gallery. Can you create it for me like Real Estate Economics?

Sure. You can request any template and we'll have it setup within a few days. You can find the request box in Journal Gallery on the right side bar under the heading, "Couldn't find the format you were looking for like Real Estate Economics?”

11. What is the output that I would get after using Real Estate Economics?

After writing your paper autoformatting in Real Estate Economics, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is Real Estate Economics's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for Real Estate Economics?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for Real Estate Economics. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In Real Estate Economics?

The 5 most common citation types in order of usage for Real Estate Economics are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

15. How do I submit my article to the Real Estate Economics?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Real Estate Economics's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download Real Estate Economics in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in Real Estate Economics Endnote style according to Elsevier guidelines.

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