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Our economists conduct research on a range of topics in housing finance, including analyzing data and uncovering emerging trends.  In addition to presenting their research to policy makers, they share their research at academic conferences and publish in journals and other scholarly outlets.  Our work enables those interested in housing finance to make decisions based on the best information available.

In particular, our researchers focused on housing trends in house prices, housing market conditions, and mortgage lending activity.  In addition, we analyze the risk and capital adequacy of the housing government-sponsored enterprises and publish papers aimed at improving public understanding of the mortgage finance system.

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Working Paper 20-02: Nowcasting Unemployment Insurance Claims in the Time of COVID-1928208<font color="#000000" face="Times New Roman" size="3"> </font><h4>Abstract&#58; </h4><p>Near term forecasts, also called nowcasts, are most challenging but also most important when the economy experiences an abrupt change. In this paper, we explore the performance of models with different information sets and data structures in order to best nowcast US initial unemployment claims in spring of 2020 in the midst of the COVID-19 pandemic. We show that the best model, particularly near the structural break in claims, is a state-level panel model that includes dummy variables to capture the variation in timing of state-of-emergency declarations. Autoregressive models perform poorly at first but catch up relatively quickly. Models including Google Trends are outperformed by alternative models in nearly all periods. Our results suggest that in times of structural change there is a bias-variance tradeoff. Early on, simple approaches to exploit relevant information in the cross sectional dimension improve forecasts, but in later periods the efficiency of autoregressive models dominates.</p><font color="#000000" face="Times New Roman" size="3"> </font>8/6/2020 8:12:46 PMHome / Policy, Programs & Research / Research / Working Paper 20-02: Nowcasting Unemployment Insurance Claims in the Time of COVID-19 Near term forecasts, also called nowcasts 828https://www.fhfa.gov/PolicyProgramsResearch/Research/Pages/Forms/AllItems.aspxhtmlFalseaspx
FHFA MORTGAGE ANALYTICS PLATFORM (Version 2.0)27705<p><strong>Release notes&#160;&#160;</strong></p><p>This version of the white paper incorporates the following two major updates to the FHFA Mortgage Analytics Platform&#58;</p><ol><li>Re-estimated performing loan equations for 30-year fixed rate, 15-year fixed rate, and 5/1 adjustable-rate mortgages.&#160; The re-estimated equations incorporated new explanatory variables important to predicting single-family mortgage delinquency.</li><li>Replaced the constant mortgage insurance (MI) haircuts with rating-based MI haircuts. </li></ol>5/21/2020 5:54:30 PMHome / Policy, Programs & Research / Research / FHFA MORTGAGE ANALYTICS PLATFORM (Version 2.0) White 1012https://www.fhfa.gov/PolicyProgramsResearch/Research/Pages/Forms/AllItems.aspxhtmlFalseaspx
Working Paper 20-01: Land Valuation using Public Records and Kriging: Implications for Land versus Property Taxation in Cities27657<h4>Abstract&#58;</h4> <font color="#000000" face="Times New Roman" size="3"></font> <p>​We construct land values for each parcel in Maricopa County (Phoenix), Arizona, from 2000 through 2018 using a novel administrative dataset containing the universe of land sales and parcel records in the county. We then compare residential land values constructed using two classes of source data, vacant land sales and land under existing structures. Estimated land values for developed parcels are nearly double when estimated using vacant land due to lot size plattage effects and other unobserved factors, calling into question use of vacant land sales to estimate the value of land under structures within our study area. Growth rates are similar, however, facilitating the possible use of vacant land price indices to trace valuations over time from an accurate base year valuation. Dynamics between prices of Maricopa County land and housing suggest hypothetical land value tax revenues are more pro-cyclical than property tax revenues, with <em>β</em>s with respect to national house prices of 3.7 and 2.3, respectively. By 2018, houses had recovered 96% of pre-crisis (2007) values,&#160;but land had only recovered 63%. These findings demonstrate a source of risk of dependence on public revenues from land value taxes versus a base-period revenue-neutral property tax. </p>5/12/2020 8:33:24 PMHome / Policy, Programs & Research / Research / Working Paper 20-01: Land Valuation using Public Records and Kriging: Implications for Land versus Property Taxation in Cities 600https://www.fhfa.gov/PolicyProgramsResearch/Research/Pages/Forms/AllItems.aspxhtmlFalseaspx
Working Paper 19-02: A Quarter Century of Mortgage Risk26282<h4>Abstract&#58;</h4><font color="#000000" face="Times New Roman" size="3"></font><p>This paper provides a comprehensive account of the evolution of default risk for newly originated home purchase loans over the past quarter century. We bring together several data sources to produce this history, including loan-level data for the entire Enterprise (Fannie Mae and Freddie Mac) book. We use these data to track a large number of loan characteristics and a summary measure of risk, the stressed default rate. Among the many results in the paper, we show that mortgage risk had already risen in the 1990s, planting seeds of the financial crisis well before the actual event. Our results also cast doubt on explanations of the crisis that focus on low-credit-score borrowers. The aggregate series we present in this paper are available for download at https&#58;/www.fhfa.gov/papers/wp1902.aspx. </p><p>Note&#58; These indices are works in progress and all data, tables, figures, and other results in this working paper are subject to change. Earlier versions of this paper were posted in January and March 2019 under the title “Mortgage Risk Since 1990.”</p>10/17/2019 7:32:12 PMHome / Policy, Programs & Research / Research / Working Paper 19-02: A Quarter Century of Mortgage Risk William Larson (FHFA), Morris Davis (Rutgers), Stephen Oliner (American 6447https://www.fhfa.gov/PolicyProgramsResearch/Research/Pages/Forms/AllItems.aspxhtmlFalseaspx
Working Paper 19-01: The Price of Residential Land for Counties, ZIP codes, and Census Tracts in the United States26065<h4>Abstract&#58;</h4><p> We use data on appraised land value from a data set of more than 14 million appraisals to produce annual estimates of the average price of land used in single-family housing and the average share of house value attributable to land. We generate results for a balanced panel of more than 1,000 counties, 9,000 ZIP codes, and 19,000 census tracts in the United States between 2012 and 2018, covering 87% of the population and 85% of all single-family homes; we also produce cross-section results using pooled data for 2012-2018 that have even broader geographic coverage. The cross-section results confirm predictions about land prices from canonical models of urban economics and provide a number of other stylized facts. The panel results show that land prices rose faster than house prices over 2012-2018 in large metro areas, boosting the land share of house value, while the land share fell in smaller metros. For the U.S. as a whole, the land share increased notably over 2012-2018, reflecting the outsized influence of the largest metro areas. The land prices and land shares we generate are intended to aid researchers in urban and regional economics and policy-makers monitoring the health of the nation's single-family housing market and are available for free download at <a href="/papers/wp1901.aspx.">https&#58;//www.fhfa.gov/papers/wp1901.aspx.</a></p><p> <span class="ms-rteStyle-References">Note&#58; These indices are works in progress and all data, tables, figures, and other results in this working paper are subject to change.<br></span></p> <font color="#000000" face="Times New Roman" size="3"> </font>2/19/2020 2:22:29 PMWilliam Larson (FHFA), Jessica Shui (FHFA), Morris Davis (Rutgers), Stephen Oliner (AEI We use data on appraised land value from a data set of more than 14 million appraisals to 19818https://www.fhfa.gov/PolicyProgramsResearch/Research/Pages/Forms/AllItems.aspxhtmlFalseaspx
Working Paper 18-04: A New Home Affordability Estimate 25655<h4 style="font-size&#58;13px;"> <span aria-hidden="true"><span aria-hidden="true"></span></span>​Abstract&#58;</h4><p>We offer a new home affordability estimate (HAE) that focuses on the share of housing stock that is affordable to certain households in the United States.&#160; The methodology considers affordability as it relates to funds available for down payments, initial monthly housing-related payments, and future projections of household income and costs.&#160; The HAE builds upon existing industry statistics in two ways.&#160; First, existing affordability indexes make certain assumptions for one or more of those funding factors.&#160; We can observe actual investment and expense values.&#160; Second, existing industry statistics consider “typical” families that earn the median household income level.&#160; The HAE is sufficiently more flexible for evaluating families at different places in the income distribution.&#160; This paper discusses the assumptions and processes for creating the HAE indexes; compares the national time series for very low-income, low-income, and median-income families; and then documents trends across metropolitan areas.&#160; We offer the data for public usage and leave commentary about implications to future research. </p><div>Please cite this working paper when using the HAE data which can be downloaded with these following links&#58;​<br></div><div><br></div><div><ul><li>​<span style="color&#58;#444444;font-family&#58;inherit;font-size&#58;inherit;font-weight&#58;inherit;"><a title="National HAE data" href="/DataTools/Downloads/Documents/Affordability/HAE_national.xlsx" target="_blank">National</a></span><br></li><li> <span style="color&#58;#444444;font-family&#58;inherit;font-size&#58;inherit;font-weight&#58;inherit;"><a title="MSA HAE data" href="/DataTools/Downloads/Documents/Affordability/HAE_metro.xlsx" target="_blank">Metropolitan Statistical Areas (MSAs)</a>​</span></li></ul></div><p> <br>&#160;</p><p> <br>&#160;</p>12/14/2018 7:55:20 PMHome / Policy, Programs & Research / Research / Working Paper 18-04: A New Home Affordability Estimate What Share of Housing Stock Can Families Afford 5199https://www.fhfa.gov/PolicyProgramsResearch/Research/Pages/Forms/AllItems.aspxhtmlFalseaspx
Working Paper 18-03: Appraisal Accuracy and Automated Valuation Models in Rural Areas22974<p> <strong class="ms-rteFontSize-3">Abstract&#58;</strong></p><p>Accurate and unbiased property value estimates are essential to credit risk management. Along with loan amount, they determine a mortgage’s loan-to-value ratio, which captures the degree of homeowner equity and is a key determinant of borrower credit risk. For home purchases, lenders generally require an independent appraisal, which, in addition to a home’s sales price, is used to calculate a value for the underlying collateral. A number of empirical studies have shown that property appraisals tend to be biased upwards, and over 90 percent of the time, either confirm or exceed the associated contract price. Our data suggest that appraisal bias is particularly pervasive in rural areas where over 25 percent of rural properties are appraised at more than five percent above contract price. Given this significant upward bias, we examine a host of alternate valuation techniques to more accurately estimate rural property values. We then include these alternate value estimates when modeling delinquencies and examine their explanatory power. </p><p>A revised version of this paper has undergone external peer-review and is published in an academic journal with open (free) access. Citation&#58; Alexander N. Bogin, Jessica Shui. 2019. &quot;Appraisal Accuracy and Automated Valuation Models in Rural Areas.&quot; The Journal of Real Estate Finance and Economics, 1-13. <a href="https&#58;//link.springer.com/article/10.1007/s11146-019-09712-0" target="_blank">https&#58;//link.springer.com/article/10.1007%2Fs11146-019-09712-0</a></p>9/6/2019 2:47:19 PMHome / Policy, Programs & Research / Research / Working Paper 18-03: Appraisal Accuracy and Automated Valuation Models in Rural Areas N. Bogin, Senior Economist; Jessica Shui 1870https://www.fhfa.gov/PolicyProgramsResearch/Research/Pages/Forms/AllItems.aspxhtmlFalseaspx
Working Paper 18-02: House Price Markups and Mortgage Defaults22973<h4 style="font-size&#58;13px;font-style&#58;normal;"> <span class="ms-rteThemeForeColor-2-0" style="line-height&#58;22px;font-style&#58;normal;"> <span style="line-height&#58;22px;font-style&#58;normal;">*Revised May&#160;2019</span>​</span></h4>&#160;​ <h4 style="font-size&#58;13px;font-style&#58;normal;">​​Abstract&#58;</h4><p style="font-style&#58;normal;"><span style="line-height&#58;22px;">The transaction price of identical housing units can vary widely due to heterogeneity in buyer and seller preferences, matching, and search costs, generating &quot;markups&quot;&#160;above or below the average market price.&#160; These markups are mean reverting upon subsequent transactions, suggesting dynamics that are unrelated to market fundamentals. We show markups are an important driver of mortgage defaults and credit losses conditional on default even after accounting for collateral coverage (loan-to-value ratio) and a comprehensive set of other covariates. Our findings suggest standard collateral coverage estimation may be inaccurate, with implications for credit portfolio risk assessment.</span></p><p style="font-style&#58;normal;">This research was selected as the best paper in 2018 in real estate valuation by the American Real Estate Society.​<br></p>5/4/2019 1:07:53 AMHome / Policy, Programs & Research / Research / Working Paper 18-02: House Price Markups and Mortgage Defaults Paul E. Carrillo, George Washington University; William M. Doerner 3023https://www.fhfa.gov/PolicyProgramsResearch/Research/Pages/Forms/AllItems.aspxhtmlFalseaspx
Working Paper 18-01: Are Appraisal Management Companies Value-Adding? – Stylized Facts from AMC and Non-AMC Appraisals22972<p> <strong>Abstract&#58;</strong>​<br> In this paper, we study whether there are any systematic quality differences between appraisals associated and unassociated with appraisal management companies (AMCs). We find that compared to non-AMC appraisals, AMC appraisals on average share a similar degree of overvaluation despite being more prone to contract price confirmation and super-overvaluation. AMC appraisals also share a similar propensity for mistakes, despite employing a greater number of comparable properties. Our evaluation employs relatively simple statistical comparisons, but the results indicate no clear evidence of any systematic quality differences between appraisals associated and unassociated with AMCs.<br></p>3/26/2018 2:41:06 PMHome / Policy, Programs & Research / Research / Working Paper 18-01: Are Appraisal Management Companies Value-Adding Jessica Shui, Economist; Shriya Murthy, Economist 1491https://www.fhfa.gov/PolicyProgramsResearch/Research/Pages/Forms/AllItems.aspxhtmlFalseaspx
NMDB Staff Working Paper 18-02: First-Time Homebuyer Counseling and the Mortgage Selection Experience in the United States: Evidence from the National Survey of Mortgage Originations22967<p>​The existing literature on homebuyer education and counseling (HEC) consists almost exclusively of evaluations of specific programs, generally using mortgage loan performance as the metric of success.&#160; This paper contributes to the literature in two ways.&#160; First, it provides evidence on the benefits of HEC to mortgage borrowers in aspects other than mortgage performance.&#160; Second, the paper evaluates HEC in general, not just one specific program.&#160; It does so by drawing from a nationally representative sample of all first-time homebuyers in the United States who took out a mortgage in 2013 and 2014.&#160; The study data comes from the National Survey of Mortgage Originations (NSMO), a new survey co-sponsored by the Federal Housing Finance Agency (FHFA) and the <span style="font-size&#58;11pt;font-family&#58;&quot;times new roman&quot;, serif;">Bureau of Consumer Financial Protection</span> (<span style="font-size&#58;11pt;font-family&#58;&quot;times new roman&quot;, serif;">BCFP</span>​).&#160; The authors find that 14 percent of a nationally representative sample of first-time homebuyers reported receiving some form of HEC.&#160; Using two different matching estimation techniques (propensity score and coarsened exact matching) and ordinary least squares, the authors​ find that first-time homebuyers who reported receiving HEC also reported better mortgage knowledge, higher incidence of comparing final costs to the Good Faith Estimate (GFE), higher incidence of selecting a mortgage based on cost, and higher level of satisfaction with mortgage terms and the mortgage process.</p>10/25/2018 8:46:22 PMRobert Argento1, Lariece Brown1, Sergei Koulayev2, Grace Li3, Marina Myhre4, Forrest Pafenberg5, Saty Patrabansh5 1Freddie Mac, 2Bureau of Consumer Financial Protection 2930https://www.fhfa.gov/PolicyProgramsResearch/Research/Pages/Forms/AllItems.aspxhtmlFalseaspx

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