New Working Paper on Macroeconomic Uncertainties

“The Price of Macroeconomic Uncertainty with Tenuous Beliefs” provides a formal modeling framework for the following approach to decision-making in the face of uncertainty. A decision maker has multiple possible views of the world looking into the future. These views are captured formally as “structured models.” As the decision process is dynamic, we express these multiple models with a recursive structure. The decision maker is also concerned that none of these views are fully accurate. This is captured formally by including a plethora of “unstructured models” as possibilities into the analysis. These are restrained to be statistically similar to the structured models, and thus, are hard to distinguish with evidence. The exercise of caution in the face of this uncertainty has consequences for choices with future impacts.

This paper illustrates the implications for forward-looking markets by taking an equilibrium pricing perspective. Struggles with uncertainty induce what looks like market sentiments that vary over the business cycle.  When these views pertain to the underlying macro economy and its prospects for growth, there are consequences that emerge in financial markets. In times of weak growth, security markets reflect a concern that this weakness will ednure. In times of strong growth, a market concern emerges that this strength will peter out. This asymmetry induces a form of nonlinearity in asset valuation that is reflected in a term structure of uncertainty.  Uncertainty prices, which are market compensations for exposure to macroeconomic fluctuations, depend on the current growth state of the payoff horizon for alternative financial investments.

The paper shows how to capture formally uncertainty about multiple models along with the potential that each is merely an approximation. It combines previous formulations by Chen and Epstein to capture model ambiguity and by Hansen and Sargent to capture potential model misspecification. The preferences have a recursive structure and are a continuous-time version of the variational preferences of Maccheroni, Marinacci and Rustichini.

Reflection on recent trip to Tsinghua University

 

I just returned from an insightful trip to visit Tsinghua University in Beijing, China.

It was a busy few days as I gave four talks in total, three of them at Tsinghua University – the Chen Daisun Memorial Lecture in Economics at the Tsinghua School of Economics and Management, a Tsinghua Top Talk for the Graduate Student Union, and a more academically oriented lecture at the Tsinghua Forum & Tsinghua PBCSF Global Academic Leader Forum at the Tsinghua School of Finance.

Myself with some students at the Tsinghua Graduate Student Union Top Talk

While I appreciated the opportunity of participating in all three forums, the most fun talk of the three was the Top Talk, in which I was able to share insights with close to 200 energetic graduate students from a variety of fields. Their thoughtful questions led to some interesting exchanges. In my third talk, I shared my perspective on an academic literature on valuation and uncertainty. This allowed me to place some of my recent research into a broader context. In addition, I met with several scholars over a two-day period and found the environment to be intellectually vibrant.

Tsinghua University faculty meeting

 

I had the opportunity to talk to some of the administrative leaders, including the university president, Qiu Yong, about potential collaboration between Tsinghua University scholars and the Macro Finance Research Program (MFR) that I oversee at the University of Chicago. Zhiguo He of University of Chicago had set the stage for these conversations.  He is a graduate of Tsinghua and continues to spend time there and collaborates with some of the researchers. He, along with Hui Chen of MIT and others, are keenly interested in furthering the study of credit opportunities, financial restrictions, and investment in China. Tsinghua University was kind enough to make me an Honorary Professor. I was a bit mischievous and asked if the title came with tenure.

Receiving the Tsinghua University honorary professorship

China has much to be proud of given its pace of economic development. It has a truly remarkable history. The cultural revolution was very harmful to intellectual endeavors and the nurturing of scholarship. Luckily, it did not fully deplete the stock of human capital so that more open markets including the market for ideas have contributed to China’s economic success. While this transition has been remarkable, there is some cause for concern going forward.  The state-owned banks continue to play a prominent role in financing businesses. On the other hand, the shadow-banking sector has arguably been better suited to support new ventures and to nurture creative entrepreneurial activity. There is potential for the government to limit this outside activity to ensure financial stability, but this could inhibit productive investments and retard economic growth.

On Saturday, I was pleased to speak at an event hosted by the National Economics Foundation that honored Gregory Chow and Xiaohong Chen as the new winners of the “2017 China Economics Prize.” Both researchers have made important contributions to econometrics over the last several decades.  Interestingly, Xiaohong was born 36 years after Gregory. As many people noted, in addition to his intellectual contributions, Gregory contributed to Chinese scholarship in economics by helping to open the door for many promising scholars in China to attend graduate schools in the United States. Xiaohong Chen was actually one of the initial scholars to benefit from Gregory’s efforts and received her PhD degree at the University of California, San Diego.

Gregory was very kind to me early in my career.  Just out of graduate school, I participated in an Economic Dynamics and Control Society conference in Cambridge, England. Gregory was the President of the Society at the time. He was very kind for welcoming me to the event and for allowing me to present joint work with Tom Sargent.

I first got to know Xiaohong Chen when she was recruited as a new Assistant Professor at the University of Chicago.  I have followed her career with great interest ever since, and I have written a couple of papers with her. I have learned much from her over the years. As I anticipated, many speakers at the award ceremony discussed specific aspects of Gregory and Xiaohong’s contributions.  I chose instead to put their work into a broader perspective and discuss why their characterizations of statistical complexity and the associated econometric challenges contribute to an understanding of a variety of market phenomena and should help us in obtaining and framing a more sanguine approach to economic policy.  I ended my talk with a reference to Confucius: 

         When you know a thing, hold that you know it; and when you do not know a thing, allow that you do not know it – this is knowledge.
知之为知之,不知为不知,是知也。  

You can find and download my Chen Daisun Memorial Lecture in Economics slides here,  my slides in recognition of Chen and Chow here, my academic lecture slides here and my student talk slides here.

Remarks on Identification, Recovery and Martingales

Recently, I was at a very nice event recognizing important contributions of Steve Ross. The “recovery theorem” was discussed multiple times. I write this research reflection with a bit of hesitation. I am a big fan of Steve Ross’ intellectual contributions, and in no way do I seek to undermine his profound impact on financial economics. That said, in spite of the multiple formal analyses of “recovery,” there remains some confusion as was evident in the conference discussions. I wrote this note to provide some clarity and push the discussion away from purely technical concerns and back to basic economic considerations. Of course, the technical issues are also key, but apparently the economic implications are not fully appreciated. Consistent with Steve’s enthusiasm for research, I aim to provide continued effort and energy to the discussion of research of interest to Steve and to me. The discussion of “recovery” in finance is a special case of what econometricians call identification. Suppose we have at our disposal (hypothetically) Arrow prices over a one time period in discrete time or over an instant in continuous time. We also impose a Markov structure on the prices. The question is what can be learned about beliefs and discounting. I consider the simplest case of a single stand-in or representative consumer. There are some interesting extensions that look at more general environments and discuss implications for Arrow prices over multiple time periods, but I will not discuss those in what follows. Read the full research reflection here.

– Lars Peter Hansen

Reflection from recent trip to Chile

Myself with University of Desarrollo faculty members who organized the lecture

I recently returned from my first trip to Chile. There is a long-standing, well-known connection between the University of Chicago and Chile. The Pinochet regime in Chile is renowned for two reasons – political repression and economic reforms. The former was brutal and indefensible, while the latter had a long-lasting positive impact on the Chilean economy. Indeed, in terms of economics, Chile has become one of the best success stories in Latin America. The so-called “Chicago boys,” trained at the University of Chicago, played a central role in designing and implementing liberal reforms following the economically flawed policies of the previous socialist government of Allende. The long-term impact of some of these reforms has been an interesting and valuable test case for economists and governments. 

Against this backdrop, I was pleased to visit Chile in person, to share ideas and learn from local expert economists and policy-makers. During my two and half-day visit, I gave three talks in total. One of the lectures was an academic talk at the Pontifical Catholic University of Chile, and another was an open lecture to about 600 people at an event in downtown Chile hosted by University of Desarrollo (University for Development) in Santiago. My third talk was during a dinner to a group of about 130 interested alumni.

In addition, I had two very productive lunches, one at the Pontifical Catholic University and another at the Central Bank of Chile, along with a small dinner with faculty from Catholic University. My talks focused on uncertainty conceived broadly and its implications for markets and policy. The lunches and private dinner were fascinating to me, as they allowed to me engage in wide-ranging policy discussions pertinent for both the Chilean and the U.S. economies. 

As part of the economic reforms of the past, Chile designed a pension system to help people save for their own retirement and to avoid burdening current taxpayers to support the pensions of existing retirees. While I like the aims and basic design, the current pension system is under attack because many retirees expected to be in better shape financially. They did not save sufficiently to provide the retirement income they hoped they would receive. There are some calls to have the government scrap the basic approach, but this would be a mistake. In my view, it would be better to structure incentives and encourage more savings from some during their working lives. Transient subsidies might be required in the short run, but these should be phased out. Thus, it would be best to make some repairs to the pension system without scrapping the basic approach. 

Audience at University of Desarrollo broad lecture

There is a move afoot to provide free education including college or undergraduate education. I am sympathetic to some educational subsidies, but one has to ensure that these investments are done wisely. As my colleague Jim Heckman likes to emphasize, early childhood education can be a valuable social investment. In contrast, government guarantees for free college education are apparently being tied to more governmental control on how the higher education is to be provided and valued. This can be truly counterproductive. I would rather continue to see multiple colleges and universities flourish, nurtured in part by competition. I was also pleased to learn more about the successes and limitations of the voucher system in Chile, aimed at providing school choice and nurturing productive competition. 

For these and other reasons, my visit to Chile expanded my understanding of economic policy in practice.  The trip served as a reminder that there is more to policy design than abstract constructs that look appealing. The details of implementation are significant and sometimes require a form of “learning by doing.” 

At the Central Bank of Chile, I had the opportunity to discuss some of the Macro Finance Research Program (MFR) projects that are currently being undertaken. The Central Bank of Chile will be co-hosting a MFR/BFI event next summer which will take a systematic inventory of what we have learned from the observed and documented monetary and fiscal histories of Latin America.  

I very much look forward to my opportunity to return the Chile, and I even hope to have the opportunity to ski there during the summer months in the northern hemisphere. 

Pontifical Catholic University Lecture Slides 

University of Desarrollo Lecture Slides  

 

A number of Chilean media entities interviewed me during my stay, including La Tercera and CNN Chile. Some of the original interviews can be found here and here.

Reflection on the 2017 Lindau Nobel Laureate Meeting on the Economic Sciences

Every three years, there is a Lindau Nobel Laureate meeting for the Economic Sciences. This summer it was held from August 22 – August 26 in a spectacular setting located on Bodensee (Lake Constance) where 17 Nobel Laureates met with about 400 young scholars in economics.  There were presentations by Laureates and by many of the young scholars on a wide array of topics pertinent to economics. Each Laureate spoke for thirty minutes. In my case, I talked about my joint work with William “Buz” Brock entitled, “Wrestling with Uncertainty in Climate Economic Models.” It is a true challenge to give such a short talk, so I spent my time describing a research agenda. For events like this, it is often the informal spontaneous conversations that arise which are of most value. This is my second such meeting, and the main attraction for me is the interaction with the many young scholars from around the world.

Discussions of climate change and economics can be challenging. There is nervousness in many quarters when I remind people of the limits to our knowledge of the transmission mechanism from carbon emissions to climate and economic impacts. There is a concern that this acknowledgement just feeds the appetite of the climate change deniers or provides an excuse for delayed action. But jumping to such conclusion like this fails to recognize a basic insight from decision theory. The possibility of bad consequences in the future could easily be sufficient for a call to action to immediate action. Moreover, it should be a part of a scientific approach to research in this area, as well as in other areas, to acknowledge the quality of the pertinent evidence. In my talk, I described what I consider to be a productive research agenda to promote the provision of quantitative tools to guide climate policy while respecting the fact that our knowledge is incomplete.

I found the talks of the other Laureates to be fascinating, thought-provoking and that they will serve as great examples for the young scholars.

My slides from the meeting can be found here.
A video of my talk can be found here.
A recent update and comment on my presentation can be found here.

Reflection on the 2017 Chicago Initiative in Theory and Empirics (CITE) Conference

The three-day event hosted at the Becker Friedman Institute explored research frontiers of macroeconomics, finance and linkages. It targeted new research including projects still being refined in search of constructive criticism. It featured young researchers, including some still working on their dissertations and nurtured interactions in this important area of research. Papers were presented and discussed, and new projects, not fully developed into polished papers, critiqued. Nine new entrants into the field were given the opportunity to present research in progress as posters designed to enable productive discourse. During the final day of the conference, six dissertation candidates gave progress reports on a variety of fascinating topics, including counterparty exposures by U.S. banks and their tail risk, sustainable pension commitments and their implications for government debt, survey expectations of future cash flows, wealth inequality, and the quantitative impact of changes in the financial market structure.

The CITE event is part of a recurring conference series exploring recent research on the connections between macroeconomics and finance. Over the years, it has been jointly nurtured by Monika Piazzesi, Martin Schneider and myself, with the involvement of our younger colleagues at Stanford and Chicago. It has been held at both places multiple times and when held at Stanford University, it is part of Stanford Institute for Theoretical Economics (SITE) program. This year, Bryan Kelly, Stefano Giglio, Larry Schmidt, and Michael Weber of the University of Chicago were the co-organizers.

These events have a “nerdy” aspect to them, as the aim is to produce research with a high degree of rigor. But the questions addressed are fundamental and will enhance to our understanding of the interplay between macroeconomics and finance.

For instance, there was much discussion about the connections between uncertainty in the underlying economy and the volatility that is present in financial markets. Financial markets are forward-looking and provide a barometer for private sector perceptions, including their views of uncertainty. A central question in economic analysis is how investment behavior may be altered by the uncertainty in the underlying environment. The impact of this uncertainty spills over to labor markets as investment in new technologies affects the future of uncertainty faced by people in the workforce. To connect evidence from financial markets to the macroeconomy requires not just data, but also statistical and economic models. The CITE conference contributions explored implications from patent data, financial market data, macro data and textual data. Some of the empirical analyses were conducted using adaptations of machine learning methods.

Narratives about the recent financial crisis often focus on the housing market as a key contributor. An important area of research also explored in this conference aims to use macroeconomic evidence guided by structural models to understand better the interplay between housing purchases, rentals, the corresponding prices and rental rates, and the available financing opportunities during tranquil and turbulent times. Other research explored financial market implications of some of the monetary policy initiatives in the United States and Europe and sources of imperfections in the financial markets that are most impactful for the macroeconomy.

An important aspect of the conference was the interplay between economic theory and empirical evidence. There is sometimes a simplistic policy mentality that suggests that we can magically incorporate new evidence and implement cost benefit approaches to regulation. Of course, evidence alone is not the full answer. Interpreting evidence requires models and, at the same time, credible models require validation and refinement through the use of evidence. Models and evidence go hand-in-hand. Sometimes economists seemingly create a false dichotomy between theory and empiricism, but the separation can be very limiting.

While the conference did not deliver nor did it intend to deliver on concrete alternatives to Dodd-Frank regulations or the Basal accords, it did probe fundamental questions for which an enhanced understanding will allow us to understand how to frame better policies in the future guided by well conceived and empirically grounded models.

Read more about CITE 2017 here.

Read more about CITE 2015 here.

2017 MFM Summer Session Reflection

It was my great privilege to participate in the 2017 Macro Financial Modeling Summer Session for Young Scholars held at the Omni Hotel at Mt. Washington in Bretton Woods, NH. This was my first visit to Bretton Woods.

The location has much history attached to it. In 1944, 730 delegates from 44 countries participated in a forum to reshape the commercial and financial interactions around the world. Prominent economists such as John Maynard Keynes were actively involved in the conversations. Coming out of Bretton Woods were a set of rules and institutions to oversee the international monetary system. The International Monetary Fund (IMF) and the International Bank for Reconstruction and Development (IBRD) were created, the gold standard was embraced, and it set the stage for fixed exchange rate regimes. The gathering was at the same hotel, the Mt. Washington Hotel, as this year’s summer camp.

Myself and MFM project co-director, Andy Lo, MIT

It was my pleasure to participate. The lectures covered a wide variety of topics including liquidity, financial network modeling, histories of financial crises and exchange rate regimes, housing finance, along with methods for estimation, inference and model comparison. Many elite scholars gave informative lectures. A lot (perhaps too much) was packed into the first two days of the camp. Two of the speakers, Maryam Farboodi and Luigi Bocola were 2013 MFM fellowship awardees.

Like last year, my co-director Andy Lo and I found value in having private sector and public sector panels with research support leaders adding their perspectives on the important policy challenges and open research questions. Leo Melamed, CME Group Chairman Emeritus’ talk was a real highlight, as he provided a personalized discussion of the breakdown of the fixed exchange rate regime and the resulting emergence of derivative claims markets.

I was particularly impressed with the student engagement, both formal and informal. There were some terrific poster sessions and some nice short talks given by MFM scholars. The MFM project has provided research support for 61 graduate students, and the camp provided an opportunity for some of this research to be presented. Dinners were fun for me because they were engaging. I enjoyed talking to many of the students. I even joined them at the Mt. Washington Hotel bar, The Cave, but embarrassed myself in my attempts to table shuffleboard. It is truly terrific to see such young and energetic talent enter the macrofinance field, and I look forward to watching them develop in the future.

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Reflections from recent trip to South Korea

I just returned from a trip to South Korea. I spoke for the first time at a Mont Pelerin Society (MPS) meeting. The MPS was originally formed by Friedrich Hayek, Ludwig von Mises, Frank Knight, Milton Friedman, George Stigler and others. My father-in-law, S. C. Tsiang was an early member, having worked with Hayek while studying at the London School of Economics during World War II. I can only speculate about the interesting intellectual exchanges that took place in early meetings of the society. While there was a common commitment to the importance of economic freedom as a central part of social philosophy, there were likely some basic disagreements about the productive approaches to economic analyses.

It was quite fitting for the conference to be held in South Korea. The economic performance of South Korea since the end of the Korean War has seen truly spectacular and dramatic contrasts to its northern neighbor. Economic freedom and a market economy were vital contributors to this success. Previously, I had visited Seoul and been impressed by the vibrancy of the capital city, but after the meeting, my wife Grace and I headed to the southern regions of the country including Busan, and we found the city to be truly beautiful and stunning, while located in the midst of some elegant forested mountains.

The conferences had some memorable sessions. Vaclav Klaus, who served as the second President of the Czech Republic, pointed to the challenges in Europe stemming from its formation of an economic and monetary union without a corresponding political and fiscal union. He doubted the value of open immigration in such circumstances and expressed concerns about immigrants in search of entitlements. Coming from the US, I have had a rather different perspective on immigration. Virtually all of my ancestors were very poor, with little if any property, saw little opportunity in their home countries during the mid-1800s. While converting to Mormonism, they viewed immigration to the US as a new start. They were seeking opportunities and not entitlements and worked hard after immigration to support their families and communities. This ancestral background and my pleasure in interacting with so many young and impressive scholars from other countries make me very concerned about a highly restrictive immigration policy. But as an economist, I certainly agree that we should be cognizant of structuring good incentives for people who seek to immigrate.

Perhaps my favorite session was one in which my former colleague, Jacob Frenkel, along with John Taylor and Jerry Jordan participated. All three talked about monetary economics. Jacob has had a three-pronged career, first establishing himself as an elite international economist and followed by important public and private sector roles. This broad perspective was reflected in his talk ending with a reminder of the potential adverse consequences of the sustained low short-term interest rates and nonstandard recent monetary policy initiatives. Like me, this was Jacob’s first MPS meeting. John, in addition to being a prominent academic economist, also served in the public sector. I liked very much John’s point that the more license monetary policy authorities take to broaden their policy toolkit and innovate, the less compelling is the argument to grant them considerable independence in their conduct of policy. He called not only for clarity in their policy objectives but also in the means to achieve those objectives. Jerry Jordan discussed the potential gains of currency competition making specific reference to crypto currencies and their impact in the future.

General Burwell Bell, a distinguished and retired four star general, gave one of the most memorable talks. He provided an informative presentation from the standpoint of someone who has a first-hand view of the military and political situation of South Korea for years while undergoing an important economic transformation. He reminded us of the rather delicate political situation that South Korea has and continues to find itself in given the military might of its neighbors, China and North Korea.

In my talk I covered some of the themes in my recent paper, “The Economic Analysis of Uncertainty and Uncertainty in Economic Analysis.” This builds on recent work I have been doing with Tom Sargent and others. I use insights from a variety of literature to study the consequences of uncertainty when conceived of in general terms, broader than is typical in economics analyses. I discussed implications for the behavior of asset prices and speculated about how it could provide a more sober perspective on economic policy. In terms of discussing policy, I drew on insights of both Friedman and Hayek.

In the same session, Vernon Smith drew some fascinating connections between some experimental results and perspectives of Adam Smith. More peculiar to me was the talk by Israel Kirzner, who, by drawing in part on the Austrian tradition of Mises and others, criticized the neoclassical treatment of profit and entrepreneurial activity with specific reference to Milton Friedman. While there is considerable scope for building more interesting models of rewards for searching and developing new productive opportunities, I failed to see the fundamental flaw in viewing some component of profit as rents or returns to entrepreneurial skills. I would have preferred to see a constructive critique of how to build more revealing models.

Hayek and Mises were referred to continually throughout the conference. Hayek was at the University of Chicago from 1950 to 1962, well after he had written his fundamental book on “The Road to Serfdom.” Interestingly, his appointment was in the Committee of Social Thought and not the Economics Department. Hayek received the Nobel Prize in Economic Sciences in 1974 along with Myrdal in an apparent balancing act by the committee. The paper attached to his Nobel address is a remarkable one. He sketches the limits to economics as a science and the limited use of mathematics beyond a language of clarity. He was critical of econometrics and its formal attempts at quantification and measurement and wrote:

“Indeed, the chief point was already seen by those remarkable anticipators of modern economics, the Spanish schoolmen of the sixteenth century, who emphasized that what they called pretium mathematicum, the mathematical price, depended on so many particular circumstances that it could never be known to man but was known only to God. I sometimes wish that our mathematical economists would take this to heart. I must confess that I still doubt whether their search for measurable magnitudes has made significant contributions to our theoretical understanding of economic phenomena – as distinct from their value as a description of particular situations. Nor am I prepared to accept the excuse that this branch of research is still very young: Sir William Petty, the founder of econometrics, was after all a somewhat senior colleague of Sir Isaac Newton in the Royal Society!”

Given the repeated references to Misses and Hayek and the skepticism of the formal use of mathematics to support quantitative investigation, I found it particularly interesting and challenging that I was a featured speaker. I mentioned this in my introduction. While I find Hayek’s writings on social and economic philosophy to be thoughtful and at times provocative, I find my research ambition as an economist is better aligned with the vision captured in the front end of Friedman’s Nobel lecture.

I had some valuable conversations with the current President of the MPS, Peter Boettke, who while having intellectual ties to Austrian economics continues to seek productive and thoughtful connections to a variety of recent research. I had an enjoyable breakfast with the most recent past president of the MPS, Pedro Giron, who is an economic historian. His talk and our informal conversation were informative and gave me a better perspective on the contrasts between Austrian economics and the economic perspective that I am more familiar with at the University of Chicago, including Friedman and Becker, who were both prominent members of the Society.

At the end of the conference, Grace and I had a delightful dinner with three former students: WooKyu Park, Jong Park and Kiseok Lee along with an longtime friend of Grace’s, Claudia Rosett, who is an economics writer of considerable note and someone who has been a regular participant in past MPS meetings.

Overall, this was a fascinating trip, and one that expanded my horizons.

Fun at the November Macro Finance Society Meeting

It was great to attend a recent meeting of the Macro Finance Society held here at the Becker Friedman Institute, co-organized by Francois Gourio, Nick Roussanov, and Andrea Eisfeldt. I have had the privilege of attending previous meetings in addition to this recent one—the eighth meeting of this society.

The society was formed in 2012 and held its first meeting in June of 2013.

By design, the meetings feature research by younger scholars that provokes spontaneity and energy that is often not present in other similar meetings. The founders of this society have done a remarkable job in launching it and turning it into such a proactive venture supporting a truly important area of economic research.

When I came out of graduate school, this field of “macro finance” did not exist. A literature started emerging exploring connections between financial markets and the macroeconomy. Empirical evidence and policy challenges opened the door to new advances in modeling. The recent financial crisis and its observed macroeconomic impacts have recently stimulated a variety of new research aimed at providing a deeper understanding of the crisis and more prudent oversight of financial markets in the future.

The conference contributions complemented nicely one of BFI’s initiatives. The Becker Friedman Institute funded by the Alfred P. Sloan Foundation, CME Group Foundation, and Fidelity Management Research hosts a multi-university Macro Financial Modeling group.

There were several nice papers presented, many by younger scholars. I will not aim to provide summaries since supported graduate students will be providing paper descriptions for the Society web page. Paper presentations, however, were only part of the story. The formal discussions were productive and revealing and opened the door to substantial informal exchanges about the presented research.

The conference led off with a session that honored an exceptional scholar, David Backus, who unfortunately passed away recently. Dave made some truly important contributions in international finance–contributions that continue to shape how we view research in this area. I have personally learned much from David’s research over the years and from personal interactions.

In addition to the two interesting contributions to international finance, the conference featured other important topics. The paper by Ivan Alfaro, Nicholas Bloom, and Ziaoji Lin opens the door to important research on connections between financing restrictions and uncertainty shocks. Uncertainty comes in different “shapes and sizes.” It is a wide open area for future model development to understand better which forms of uncertainty have the biggest adverse consequences to resource allocation.

There has been a recent interest in how labor market outcomes are influenced by the risk prices that prevail in financial markets. Mete Kilic and Jessica Wachter contribute to this literature by modeling how market concerns about rare events impact the hiring decisions of firms.

Daniel Greenwald presented an ambitious structural and quantitative model that incorporates connections between mortgage credit and the macroeconomy.

Overall, the research questions addressed in the conference are fascinating and important, and it was great to take inventory on our current understanding of the answers.

The keynote address at this conference was given by my colleague, Doug Diamond, on some joint research with Anil Kashyap. By extending ideas in some of Doug’s important prior work on bank runs, Doug and Anil offer a new and revealing perspective on liquidity requirements. They provide both a critical assessment of current policies and suggestions for improvements.

I have had a few honors in my career, and I remain proud to be named an initial distinguished fellow of this society.

Modeling to Make the Most of Data

Economic modeling is often driven by discovery or development of new data sets. For many substantive applications, the data does not simply “speak for itself,” making it important to build structural models to interpret the evidence in meaningful ways.

For example, the availability of data from national income and product accounts was an early influence on formal macroeconomic modeling. As other evidence on the economic behavior of individuals and firms became available, builders of dynamic economic models incorporated microeconomic foundations in part to  bring to bear a broader array of evidence on macroeconomic policy challenges.  Similarly, econometricians built and applied new methods for panel data analysis to understand better the empirical implications of microeconomic data with statistical rigor.

As large cross-sections of financial market returns became easily accessible to researchers, asset pricing theorists built models that featured economically interpretable risk-return tradeoffs to give an economic interpretation to the observable patterns in financial market data.In all of these cases, data availability provoked new modeling efforts, and these efforts were crucial in bringing new evidence to bear on important policy-relevant economic questions.

Rapid growth in computing power and the expansion of electronic marketplaces and information sharing to all corners of life have vastly expanded the data available to individuals, enterprises, and policy makers.  Important computational advances in data science have opened the door to analyses of massive new data sets, which potentially offers new insights to a variety of questions important in economic analysis.  The richness of this new data provides flexible ways to make predictions about individual and market behavior— for example, the assessment of credit risk when taking out loans and implications for markets of consumer goods including housing.

These are topics explored at previous institute events such as the Macro Financial Modeling 2016 Conference held on January 27–29, 2016. One example is the work of Matthew Gentzkow and Jesse Shapiro and a conference on the use of text as data. Another example is the construction and use of new measures of policy uncertainty developed by Scott R. Baker, Nicholas Bloom, and Steve Davis.

Just as statisticians have sought to provide rigor to the inferential methods used in the data analysis, econometricians now have new challenges in enriching these modeling efforts beyond straightforward data description and prediction. While the data may be incredibly rich along some dimensions, many policy-relevant questions require the ability to transport this richness into other hypothetical settings, as is often required when we wish to know likely responses to new policies or changes in the underlying economic environment. This more subtle but substantively important form of prediction requires both economic and statistical modeling to fully exploit the richness of the data and the power of the computational methods.

The door is wide open for important new advances in economic modeling well suited to truly learn from the new data. By organizing conferences like the  September 23-24, 2016 event, the Becker Friedman Institute is nurturing a crucial next step of how best to integrate formal economic analysis to address key policy questions. We seek to foster communication among a variety of scholars from computer science, statistics, and economics in addressing new research challenges. This conference, organized by Stephane Bonhomme, John Lafferty, and Thibaut Lamadon, will encourage the synergistic research efforts of computational statistics and econometrics.

— Lars Peter Hansen, Becker Friedman Institute Director