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Veldkamp, Laura

Works: 33 works in 177 publications in 1 language and 1,009 library holdings
Roles: Author
Classifications: HB172.5, 339.5
Publication Timeline
Publications about Laura Veldkamp
Publications by Laura Veldkamp
Most widely held works by Laura Veldkamp
Information choice in macroeconomics and finance by Laura Veldkamp( Book )
8 editions published in 2011 in English and held by 302 libraries worldwide
Most theories in economics and finance predict what people will do, given what they know about the world around them. But what do people know about their environments? The study of information choice seeks to answer this question, explaining why economic players know what they know--and how the information they have affects collective outcomes. Instead of assuming what people do or don't know, information choice asks what people would choose to know. Then it predicts what, given that information, they would choose to do. In this textbook, Laura Veldkamp introduces graduate students in economics and finance to this important new research. The book illustrates how information choice is used to answer questions in monetary economics, portfolio choice theory, business cycle theory, international finance, asset pricing, and other areas. It shows how to build and test applied theory models with information frictions and it covers recent work on topics such as rational inattention, information markets, and strategic games with heterogeneous information
Aggregate shocks or aggregate information? : costly information and business cycle comovement by Laura Veldkamp( Book )
20 editions published in 2006 in English and held by 54 libraries worldwide
When similar patterns of expansion and contraction are observed across sectors, we call this a business cycle. Yet explaining the similarity and synchronization of these cycles across industries remains a puzzle. Whereas output growth across industries is highly correlated, identifiable shocks, like shocks to productivity, are far less correlated. While previous work has examined complementarities in production, we propose that sectors make similar input decisions because of complementarities in information acquisition. Because information about driving forces has a high fixed cost of production and a low marginal cost of replication, it can be more efficient for firms to share the cost of discovering common shocks than to invest in uncovering detailed sectoral information. Firms basing their decisions on this common information make highly correlated production choices. This mechanism amplifies the effects of common shocks, relative to sectoral shocks
Germs, social networks and growth by Alessandra Fogli( Book )
14 editions published between 2012 and 2014 in English and held by 25 libraries worldwide
Does the pattern of social connections between individuals matter for macroeconomic outcomes? If so, how does this effect operate and how big is it? Using network analysis tools, we explore how different social structures affect technology diffusion and thereby a country's rate of technological progress. The network model also explains why societies with a high prevalence of contagious disease might evolve toward growth-inhibiting social institutions and how small initial differences can produce large divergence in incomes. Empirical work uses differences in the prevalence of diseases spread by human contact and the prevalence of other diseases as an instrument to identify an effect of social structure on technology diffusion
Nature or nurture? : learning and female labor force dynamics by Alessandra Fogli( Book )
7 editions published in 2007 in English and held by 22 libraries worldwide
Information immobility and the home bias puzzle by Stijn van Nieuwerburgh( Book )
9 editions published in 2007 in English and held by 19 libraries worldwide
Many papers have argued that home bias arises because home investors can predict payoffs of their home assets more accurately than foreigners can. But why does this information advantage exist in a world where everyone can read the same newspapers, earnings announcements and analyst reports and why would that advantage be large? We model investors who are endowed with a small home information advantage. They can choose what information to learn before they invest in many risky assets. Surprisingly, even when home investors can learn what foreigners know, they choose not to. The reason is that investors profit more from knowing information that others do not know. Allowing investors to learn amplifies their initial information asymmetry. The model can explain local and industry bias as well as patterns of foreign investments, portfolio out-performance and asset prices. Finally, we outline new avenues for empirical research
Information acquisition and under-diversification by Stijn van Nieuwerburgh( Book )
9 editions published in 2008 in English and held by 17 libraries worldwide
If an investor wants to form a portfolio of risky assets and can exert effort to collect information on the future value of these assets before he invests, which assets should he learn about? The best assets to acquire information about are ones the investor expects to hold. But the assets the investor holds depend on the information he observes. We build a framework to solve jointly for investment and information choices, with a variety of preferences and information cost functions. Although the optimal research strategies depend on preferences and costs, the main result is that the investor who can first collect information systematically deviates from holding a diversified portfolio. Information acquisition can rationalize investing in a diversified fund and a concentrated set of assets, an allocation often observed, but usually deemed anomalous
Nature or nurture? : learning and the geography of female labor force participation by Alessandra Fogli( Book )
9 editions published in 2008 in English and held by 16 libraries worldwide
"One of the most dramatic economic transformations of the past century has been the entry of women into the labor force. While many theories explain why this change took place, we investigate the process of transition itself. We argue that local information transmission generates changes in participation that are geographically heterogeneous, locally correlated and smooth in the aggregate, just like those observed in our data. In our model, women learn about the effects of maternal employment on children by observing nearby employed women. When few women participate in the labor force, data is scarce and participation rises slowly. As information accumulates in some regions, the effects of maternal employment become less uncertain, and more women in that region participate. Learning accelerates, labor force participation rises faster, and regional participation rates diverge. Eventually, information diffuses throughout the economy, beliefs converge to the truth, participation flattens out and regions become more similar again. To investigate the empirical relevance of our theory, we use a new county-level data set to compare our calibrated model to the time-series and geographic patterns of participation"--National Bureau of Economic Research web site
Attention allocation over the business cycle by Marcin Kacperczyk( Book )
9 editions published between 2009 and 2010 in English and held by 15 libraries worldwide
The invisibility of information precludes a direct test of attention allocation theories. To surmount this obstacle, we develop a model that uses an observable variable -- the state of the business cycle -- to predict attention allocation. Attention allocation, in turn, predicts aggregate investment patterns. Because the theory begins and ends with observable variables, it becomes testable. We apply our theory to a large information-based industry, actively managed equity mutual funds, and study its investment choices and returns. Consistent with the theory, which predicts cyclical changes in attention allocation, we find that in recessions, funds' portfolios (1) covary more with aggregate payoff-relevant information, (2) exhibit more cross-sectional dispersion, and (3) generate higher returns. The results suggest that some, but not all, fund managers process information in a value-maximizing way for their clients and that these skilled managers outperform others
Time-varying fund manager skill by Marcin Kacperczyk( Book )
11 editions published between 2011 and 2012 in English and held by 15 libraries worldwide
Mutual fund managers can outperform the market by picking stocks or timing the market successfully. Previous work has estimated picking and timing skill, assuming that each manager is endowed with a fixed amount of each and found some evidence of picking skills and little evidence of timing skills among successful managers. This paper estimates skill separately in booms and recessions and finds that the extent to which managers focus on stock picking or market timing fluctuates with the state of the economy. Stock picking is more prevalent in booms, while market timing dominates in recessions. We use this finding to develop a new methodology for detecting managerial skill. The results suggest that some but not all managers have skill. We describe the characteristics of the skilled managers and show that skilled managers significantly outperform the market
Ratings shopping and asset complexity : a theory of ratings inflation by Vasiliki Skreta( Book )
9 editions published between 2008 and 2009 in English and held by 13 libraries worldwide
Many identify inflated credit ratings as one contributor to the recent financial market turmoil. We develop an equilibrium model of the market for ratings and use it to examine possible origins of and cures for ratings inflation. In the model, asset issuers can shop for ratings -- observe multiple ratings and disclose only the most favorable -- before auctioning their assets. When assets are simple, agencies' ratings are similar and the incentive to ratings shop is low. When assets are sufficiently complex, ratings differ enough that an incentive to shop emerges. Thus, an increase in the complexity of recently-issued securities could create a systematic bias in disclosed ratings, despite the fact that each ratings agency produces an unbiased estimate of the asset's true quality. Increasing competition among agencies would only worsen this problem. Switching to an investor-initiated ratings system alleviates the bias, but could collapse the market for information
Knowing what others know : coordination motives in information acquisition by Christian Hellwig( Book )
4 editions published in 2007 in English and held by 13 libraries worldwide
Leadership, coordination and mission-driven management by Patrick Bolton( Book )
9 editions published in 2008 in English and held by 12 libraries worldwide
What makes a good leader? A good leader is able to coordinate his followers around a credible mission statement, which communicates the future course of action of the organization. In practice, leaders learn about the best course of action for the organization over time. While learning helps improve the organization's goals it also creates a time-consistency problem. Leader resoluteness is a valuable attribute in such a setting, since it slows down the leader's learning and thus improves the credibility of the mission statement. But resolute leaders also inhibit communication with followers and leader resoluteness is costly when followers have sufficiently valuable signals
Income dispersion and counter-cyclical markups by Chris Edmond( Book )
8 editions published in 2008 in English and held by 12 libraries worldwide
Recent advances in measuring cyclical changes in the income distribution raise new questions: How might these distributional changes affect the business cycle itself? We show how counter-cyclical income dispersion can generate counter-cyclical markups in the goods market, without any preference shocks or price-setting frictions. In recessions, heterogeneous labor productivity shocks raise income dispersion, lower the price elasticity of demand, and increase imperfectly competitive firms' optimal markups. The calibrated model explains not only many cyclical features of markups, but also cyclical, long-run and cross-state patterns of standard business cycle aggregates
Understanding uncertainty shocks and the role of black swans by Anna Orlik( Book )
9 editions published between 2014 and 2015 in English and held by 8 libraries worldwide
A fruitful emerging literature reveals that shocks to uncertainty can explain asset returns, business cycles and financial crises. The literature equates uncertainty shocks with changes in the variance of an innovation whose distribution is common knowledge. But how do such shocks arise? This paper argues that people do not know the true distribution of macroeconomic outcomes. Like Bayesian econometricians, they estimate a distribution. Using real-time GDP data, we measure uncertainty as the conditional standard deviation of GDP growth, which captures uncertainty about the distributions estimated parameters. When the forecasting model admits only normally-distributed outcomes, we find small, acyclical changes in uncertainty. But when agents can also estimate parameters that regulate skewness, uncertainty fluctuations become large and counter-cyclical. The reason is that small changes in estimated skewness whip around probabilities of unobserved tail events (black swans). The resulting forecasts resemble those of professional forecasters. Our uncertainty estimates reveal that revisions in parameter estimates, especially those that affect the risk of a black swan, explain most of the shocks to uncertainty
The tail that wags the economy belief-driven business cycles and persistent stagnation by Julian Kozlowski( Book )
7 editions published between 2015 and 2016 in English and held by 4 libraries worldwide
The Great Recession was a deep downturn with long-lasting effects on credit markets, labor markets and output. We explore a simple explanation: This recession has been more persistent than others because it was perceived as an extremely unlikely event before 2007. Observing such an episode led all agents to re-assess macro risk, in particular, the probability of tail events. Since changes in beliefs endure long after the event itself has passed and through its effects on prices and choices, it produces long-lasting effects on investment, employment and output. To model this idea, we study a production economy with agents who use standard econometric tools to estimate the distribution of aggregate shocks. When they observe a new shock, they re-estimate the distribution from which it was drawn. Even transitory shocks have persistent effects because, once observed, they stay forever in the agents' data set. We feed a time-series of US macro data into our model and show that our belief revision mechanism can explain the 12% downward shift in US trend output
Slow boom, sudden crash ( Computer File )
2 editions published in 2002 in English and held by 3 libraries worldwide
The common origin of uncertainty shocks by Nicholas Kozeniauskas( Book )
7 editions published in 2016 in English and held by 3 libraries worldwide
Various types of uncertainty shocks can explain many phenomena in macroeconomics and finance. But does this just amount to inventing new, exogenous, unobserved shocks to explain challenging features of business cycles? This paper argues that three conceptually distinct fluctuations, all called uncertainty shocks, have a common origin. Specifically, we propose a mechanism that generates micro uncertainty (uncertainty about firm-level shocks), macro uncertainty (uncertainty about aggregate shocks) and higher-order uncertainty (disagreement) shocks from a common origin and causes them to covary, just as they do in the data. When agents use standard maximum likelihood techniques and real-time data to re-estimate parameters that govern the probability of disasters, the result is that micro, macro and higher-order uncertainty fluctuate and covary just like their empirical counterparts. Our findings suggest that time-varying disaster risk and the many types of uncertainty shocks are not distinct phenomena. They are outcomes of a quantitatively plausible belief updating process
Learning asymmetries in real business cycles ( Computer File )
2 editions published between 2002 and 2003 in English and held by 3 libraries worldwide
Taking orders and taking notes dealer information sharing in treasury markets by Nina Boyarchenko( Book )
7 editions published in 2016 in English and held by 3 libraries worldwide
The use of order flow information by financial firms has come to the forefront of the regulatory debate. A central question is: Should a dealer who acquires information by taking client orders be allowed to use or share that information? We explore how information sharing affects dealers, clients and issuer revenues in U.S. Treasury auctions. Because one cannot observe alternative information regimes, we build a model, calibrate it to auction results data, and use it to quantify counter-factuals. We estimate that yearly auction revenues with full-information sharing (with clients and between dealers) would be $5 billion higher than in a "Chinese Wall" regime in which no information is shared. When information sharing enables collusion, the collusion costs revenue, but prohibiting information sharing costs more. For investors, the welfare effects of information sharing depend on how information is shared. Surprisingly, investors benefit when dealers share information with each other, not when they share more with clients. For the market, when investors can bid directly, information sharing creates a new financial accelerator: Only investors with bad news bid through intermediaries, who then share that information with others. Thus, sharing amplifies the effect of negative news. Tests of two model predictions support its key features
Essays in learning and market dynamics by Laura Veldkamp( Archival Material )
1 edition published in 2001 in English and held by 2 libraries worldwide
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Alternative Names
Veldkamp, L.
Veldkamp, L. L.
Veldkamp, Laura L.
English (161)
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