At Columbia Business School, our faculty members are at the forefront of research in their respective fields, offering innovative ideas that directly impact the practice of business today. A quick glance at our publication on faculty research, CBS Insights, will give you a sense of the breadth and immediacy of the insight our professors provide.
As a student at the School, this will greatly enrich your education. In Columbia classrooms, you are at the cutting-edge of industry, studying the practices that others will later adopt and teach. As any business leader will tell you, in a competitive environment, being first puts you at a distinct advantage over your peers. Learn economic development from Ray Fisman, the Lambert Family Professor of Social Enterprise and a rising star in the field, or real estate from Chris Mayer, the Paul Milstein Professor of Real Estate, a renowned expert and frequent commentator on complex housing issues. This way, when you complete your degree, you'll be set up to succeed.
Columbia Business School in conjunction with the Office of the Dean provides its faculty, PhD students, and other research staff with resources and cutting edge tools and technology to help push the boundaries of business research.
Specifically, our goal is to seamlessly help faculty set up and execute their research programs. This includes, but is not limited to:
All these activities help to facilitate and streamline faculty research, and that of the doctoral students working with them.
The article offers the authors' views on expatriate management programs and the benefits from executives interacting with the people and institutions of the host country. The idea that international experience or interaction between foreign managers and local people will help managers become more creative, entrepreneurial, and successful is discussed. The concept of integrative complexity in bi-cultural managers which enhances job performance is mentioned.
The Kidney Case is multi-person exercise that involves the allocation of a single kidney. Students read profiles of eight candidates for the kidney and make a first allocation decision. Each candidate was designed to be high on some allocation principles but low or unknown on others (e.g., best, match, time in cue, age, personal responsibility for disease, future benefits to society, etc.). Then, students are put into groups and assigned to advocate for one of the candidates. Each group will prepare and give a 3-minute presentation on why their candidate should receive the kidney.
Emissions abatement alone cannot address the consequences of global warming for weather disasters. We model how society adapts to manage disaster risks to capital stock. Optimal adaptation — a mix of firm-level efforts and public spending — varies as society learns about the adverse consequences of global warming for disaster arrivals. Taxes on capital are needed alongside those on carbon to achieve the first best.
What are the sources of the returns to education? We study the allocation of higher education graduates from public institutions in Ohio across firms. We present three results. First, we confirm findings in the earlier literature of large pay differences across degrees. Second, we show that up to one quarter of pay premiums for higher degrees are explained by between-firm pay differences. Third, higher education degrees are associated with greater representation at the best-paying firms.
This article focuses on the role of threats in negotiations. Broadly speaking, a threat is a proposition that issues demands and warns of the costs of noncompliance. Even if neither party resorts to them, potential threats shadow most negotiations. Researchers have found that people actually evaluate their counterparts more favorably when they combine promises with threats rather than extend promises alone. Whereas promises encourage exploitation, the threat of punishment motivates cooperation.
U.S. universities have experienced a shift in research funding away from federal and towards private industry sources. This paper evaluates whether the source of funding -- federal or private industry -- is relevant for commercialization of research outputs. We link person-level grant data from 22 universities to patent and career outcomes (including IRS W-2 records). To identify a causal effect, we exploit individual-level variation in exposure to narrow federal R&D programs stemming from pre-existing field specialization.
We cast new light on the influence of pensions on labor supply. To do so, we compare the retention patterns of pension-eligible workers to those of pension-ineligible ones, allowing us to non-parametrically identify the counterfactual in large, administrative data. Pensions exert a retentive force as workers approach the eligibility threshold and apply strong expulsive pressure thereafter (since employees lose pension wealth by remaining employed once eligible).
We study games of incomplete information as both the information structure and the extensive-form vary. An analyst may know the payoff-relevant data but not the players' private information, nor the extenstive-form that governs their play. Alternatively, a designer may be able to build a mechanism from these ingredients. We characterize all outcomes that can arise in an equilibrium of some extensive-form with some information structure.
Since 1980, economic growth in the U.S. has been fastest in its largest cities. We show that a group of skill- and information-intensive service industries are responsible for all of this new urban bias in recent growth. We then propose a simple explanation centered around the interaction of three factors: the disproportionate reliance of these services on information and communication technology (ICT), the precipitous price decline for ICT capital since 1980, and the preexisting comparative advantage of cities in skilled services.
According to conventional wisdom, banks play a special role in providing liquidity in bad times, while capital markets are used to fund investment in good times. Using microdata on corporate balance sheets following the COVID-19 shock, we provide evidence that instead, the corporate bond market is central to firms' access to liquidity, crowding out bank loans even when the crisis did not originate in the banking sector. We first show that, contrary to good times, bond issuance is used to increase holdings of liquid assets rather than for real investment.
Using loan-level data covering two-thirds of all corporate loans from U.S. banks, we document that SMEs (i) obtain much shorter maturity credit lines than large firms; (ii) have less active maturity management and therefore frequently have expiring credit; (iii) post more collateral on both credit lines and term loans; (iv) have higher utilization rates in normal times; and (v) pay higher spreads, even conditional on other firm characteristics. We present a theory of loan terms that rationalizes these facts as the equilibrium outcome of a trade-off between commitment and discretion.
We analyze methods for selecting topics in news articles to explain stock returns. We find, through empirical and theoretical results, that supervised Latent Dirichlet Allocation (sLDA) implemented through Gibbs sampling in a stochastic EM algorithm will often overfit returns to the detriment of the topic model. We obtain better out-of-sample performance through a random search of plain LDA models. A branching procedure that reinforces effective topic assignments often performs best. We test these methods on an archive of over 90,000 news articles about S&P 500 firms.
A principal faces an agent who is better informed but biased toward higher actions. She can verify the agent's information and specify his permissible actions. We show that if the verification cost is small enough, a threshold with an escape clause (TEC) is optimal: the agent either chooses an action below a threshold or requests verification and the efficient action above the threshold. For higher costs, however, the principal may require verification only for intermediate actions, dividing the delegation set.
Auctions are widely used in practice. While also extensively studied in the literature, most of the developments rely on the significant common prior assumption. We study the design of optimal prior-independent selling mechanisms: buyers do not have any information about their competitors and the seller does not know the distribution of values, but only a general class it belongs to.
The SEC should reform 144A regulation to prevent Wall Street streaking further ahead.
There has been extensive discussion about gender gaps in representation and career advancement in the sciences. However, psychological science itself has yet to be the focus of discussion or systematic review, despite our field’s investment in questions of equity, status, well-being, gender bias, and gender disparities. In the present article, we consider 10 topics relevant for women’s career advancement in psychological science.
Current accounting practice expenses many investments in intangible assets to the income statement, confusing earnings from current revenues with investments to gain future revenues. This has led to increasing calls to book those investments to the balance sheet. Drawing on the relevant research, this paper proposes solutions for the accounting for intangible assets that contrast with balance sheet recognition, and compares them to current practice and the IFRS standards that dictate practice.
Using US Census employer-employee matched data, I show that employer financial distress accelerates the exit of employees to found start-ups. This effect is particularly evident when distressed firms are less able to enforce contracts restricting employee mobility into competing firms. Entrepreneurs exiting financially distressed employers earn higher wages prior to the exit and after founding start-ups, compared to entrepreneurs exiting non-distressed firms. Consistent with distressed firms losing higher-quality workers, their start-ups have higher average employment and payroll growth.
Licensed foreign telecom operators in Myanmar were required to also provide mobile financial services (MFS). Due to a lack of trust in the banking sector, the government believed the adoption of MFS would boost financial inclusion in the country by enabling seamless money transfers, bill payments, and more. As they entered the MFS market, foreign telecom operators Ooredoo and Telenor grappled with fundamental questions that would determine their launch and customer acquisition strategies.
The largest economic cost of the COVID-19 pandemic could arise from changes in behavior long after the immediate health crisis is resolved. A potential source of such a long-lived change is scarring of beliefs, a persistent change in the perceived probability of an extreme, negative shock in the future. We show how to quantify the extent of such belief changes and determine their impact on future economic outcomes. We nd that the long-run costs for the U.S. economy from this channel is many times higher than the estimates of the short-run losses in output.
We study the nature of firm pay dynamics using matched employer-employee and firm financials data from Sweden. To this end, we propose and estimate a statistical model that extends the seminal framework by Abowd, Kramarz, and Margolis (1999b) to account for idiosyncratically time-varying firm pay policies. We validate the model by showing that firm-year pay estimates are systematically related to measures of firm performance.
This paper estimates a structural model of unconventional monetary policy transmission through bank balance sheets using cross-sectional instruments for loan and deposit demand. We estimate the demand for banking at a branch-specific level from the response of a bank's quantities at one branch to interest rate changes caused by demand shocks at other branches. Depositors are considerably less sensitive to interest rates than corporate or mortgage borrowers.
Organizations regularly divide members in ways that maximize diversity, yet it is unclear whether efforts to induce diversity are effective in producing lasting ties. In this paper, we explore the extent to which an organization can induce diverse networks in small groups versus large groups, and in the short term (while induced contact persists) and in the long term (after induced contact ends). We evaluate this in an incoming MBA cohort as they are assigned to 70-person sections and five-person learning teams, both intended to maximize diversity and facilitate diverse ties.
We recover valuations of time using detailed data from a large ride-hail platform, where drivers bid on trips and consumers choose between a set of rides with different prices and waiting times. We estimate demand as a function of prices and waiting times and find that price elasticities are substantially higher than waiting-time elasticities. We show how these estimates can be mapped into values of time that vary by place, person, and time of day. We find that the value of time during non-work hours is 16% lower than during work hours.
Using a novel dataset of over 3,500 public and private firms, we construct the network of firm connections through executives and directors on the eve of the 1929 financial market crash. We find that more connected firms have 17% higher 10-year survival rates on average. Consistent with a role in facilitating access to working capital, the results are particularly strong for small firms, private firms, cash-poor firms, and firms located in counties with high bank suspension rates during the crisis.
Companies that freeze defined benefit pension plans save the equivalent of 13.5% of the long-horizon payroll of current employees. Furthermore, firms with higher prospective accruals are more likely to freeze their plans. Cost savings would not be possible in a benchmark model in which i) all workers receive compensation equal to their marginal product and ii) workers value equally all identical-cost forms of pension benefits.
"Big data" financial technology raises concerns about market inefficiency. A common concern is that the technology might induce traders to extract others' information, rather than to produce information themselves. We allow agents to choose how much they learn about future asset values or about others' demands, and we explore how improvements in data processing shape these information choices, trading strategies and market outcomes. Our main insight is that unbiased technological change can explain a market-wide shift in data collection and trading strategies.
The Great Recession was a deep downturn with long-lasting effects on credit, employment and output. While narratives about its causes abound, the persistence of GDP below pre-crisis trends remains puzzling. We propose a simple persistence mechanism that can be quantified and combined with existing models. Our key premise is that agents don't know the true distribution of shocks, but use data to estimate it non-parametrically. Then, transitory events, especially extreme ones, generate persistent changes in beliefs and macro outcomes.
Technology is often embodied in expensive and indivisible capital goods. As a result, the small scale of firms in developing countries could hinder investment and productivity. This paper argues that market interactions between small firms can alleviate this concern. We design and implement a survey of manufacturing firms in Uganda, which uncovers an active rental market for large machines among small firms. We then build an equilibrium model of firm behavior and estimate it with our data.
We document that a large share of the gender pay gap in Brazil is due to women working at lower-paying employers. At the same time, women's revealed-preference ranking of employers is less increasing in pay compared to that of men. To interpret these facts, we develop an empirical equilibrium search model with endogenous gender differences in pay, amenities, and recruiting intensities across employers.
We show that the global human capital increase during the 20th century contributed to structural transformation. We document that almost half of the decline in aggregate agricultural employment was driven by new birth cohorts entering the labor market. We use data on educational attainment and compile a comprehensive list of policy reforms to interpret the differences in agricultural employment across cohorts. We find that the increase in schooling led to a sharp reduction in the agricultural labor supply by equipping younger cohorts with skills more valued out of agriculture.
We study how increasing contract length affects adverse selection in health insurance markets. Although health risks are persistent, private health insurance contracts in the United States have short, one-year terms. Short-term, community-rated contracts allow patients to increase their coverage only after risks materialize, which leads to market unraveling. Longer contracts ameliorate adverse selection because both demand and supply exhibit horizon effects. Intuitively, longer horizon risk is less predictable, thus elevating demand for coverage and lowering equilibrium premiums.
The increased focus on misinformation has spurred development of data and systems for detecting the veracity of a claim as well as retrieving authoritative evidence. The Fact Extraction and VERification (FEVER) dataset provides such a resource for evaluating end-to-end fact-checking, requiring retrieval of evidence from Wikipedia to validate a veracity prediction.
Climate change has myriad physical and economic impacts. Even those that can be easily quantified indicate the need for ambitious climate action. Other climate impacts have yet to be quantified. We argue here that uncertainties in climate and weather extremes only further increase the social cost of carbon emissions.
We extract aggregate demand and supply shocks for the US economy from real-time survey data on inflation and real GDP growth using a novel identification scheme. Our approach exploits non-Gaussian features of macroeconomic forecast revisions and imposes minimal theoretical assumptions. After verifying that our results for US post-war business cycle fluctuations are largely in line with the prevailing consensus, we proceed to study output and price fluctuations during COVID-19. We attribute two thirds of the decline in 2020:Q1 GDP to a negative shock to aggregate demand.
We distinguish between "good" and "bad" carry trades constructed from G-10 currencies. The good trades exhibit higher Sharpe ratios and sometimes positive return skewness, in contrast to the bad trades that have both substantially lower Sharpe ratios and highly negative return skewness. Surprisingly, good trades do not involve the most typical carry currencies like the Australian dollar and Japanese yen.
How does access to public equity markets affect real outcomes? We examine the human capital of IPO-filing firms and how going public affects their labor force. While IPO-filing ?rms have high average wages and limited industrial diversification, a successful IPO increases departures of high-wage employees to startups and triggers industrial diversification through employment growth in non-core industries. Surprisingly, IPOs do not significantly affect earnings growth of pre-IPO workers. Instead, post-IPO hires receive larger earnings increases upon joining.