We examine the relation between venture capital (VC) investments and mergers and acquisitions (M&A) activity around the world. We find evidence of a strong positive association between VC investments and lagged M&A activity, consistent with the hypothesis that an active M&A market provides viable exit opportunities for VC companies and therefore incentivizes them to engage in more deals. We also explore the effects of country-level pro-takeover legislation passed internationally (positive shocks), and US state-level antitakeover business combination laws (negative shocks), on VC activity. We find significant post-law changes in VC activity. VC activity intensifies after enactment of country-level takeover friendly legislation and decreases following passage of state antitakeover laws in the U.S.
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Venture Capital Investments and Merger and Acquisition Activity Around the World -- by Gordon M. Phillips, Alexei Zhdanov
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The Impact of Bank Credit on Labor Reallocation and Aggregate Industry Productivity -- by John (Jianqiu) Bai, Daniel Carvalho, Gordon M. Phillips
We provide evidence that the deregulation of U.S. state banking markets leads to a significant increase in the relative employment and capital growth of local firms with higher productivity and that this effect is concentrated among young firms. Using financial data for a broad range of firms, our analysis suggests that this effect is driven by a shift in the composition of local bank credit supply towards more productive firms. We estimate that this effect translates into economically important gains in aggregate industry productivity and that changes in the allocation of labor play a central role in driving these gains.
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U.S. Job Flows and the China Shock -- by Brian J. Asquith, Sanjana Goswami, David Neumark, Antonio Rodriguez-Lopez
International trade exposure affects job creation and destruction along the intensive margin (job flows due to expansions and contractions of firms' employment) as well as along the extensive margin (job flows due to births and deaths of firms). This paper uses 1992-2011 employment data from the {universe} of U.S. establishments to construct job flows at both the industry and commuting-zone levels, and then estimates the impact of the `China shock' on each job-flow type. The China shock is accounted for by either the increase in Chinese import penetration in the U.S., or by the U.S. policy change that granted Permanent Normal Trade Relations (PNTR) status to China. We find that the China shock affects U.S. employment mainly through deaths of establishments. At the commuting-zone level, we find evidence of large job reallocation from the Chinese-competition exposed sector to the nonexposed sector, and establish that the gross employment effects of the China shock are fundamentally different from those of a more general adverse shock affecting the U.S. demand for domestic labor.
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Job Tasks, Time Allocation, and Wages -- by Ralph Stinebrickner, Todd R. Stinebrickner, Paul J. Sullivan
While a burgeoning literature has extolled the conceptual virtues of directly measuring the underlying job tasks that define work activities, in practice task-based approaches have been hampered by well-known data limitations. We study wage determination using data collected specifically to address these limitations. Most fundamentally, we construct the first longitudinal dataset containing job-level task information for individual workers. New quantitative task measures take advantage of unique survey questions that ask respondents to detail the amount of time spent performing People, Information, and Objects tasks at different skill levels. These measures have clear interpretations, suggest natural proxies for on-the-job human capital accumulation, and provide methodological guidance for future data collection initiatives. A model of comparative advantage highlights the benefits of the unique data features, and guides the specification and interpretation of empirical models. We provide new findings about the effect of current and past tasks on wages. First, current job tasks are quantitatively important, with high skilled tasks being paid substantially more than low skilled tasks. Second, there is no evidence of learning-by-doing (i.e., effects of past tasks) for low skilled tasks, but strong evidence for high skilled tasks. Current and past high skilled information tasks are particularly valuable, although high skilled interpersonal tasks also play a significant role. Shifting 10 percent of work time from low skilled people tasks to high skilled information tasks increases a worker's yearly wage by 22 percent after ten years. The accumulation of valuable task-specific experience accounts for 70 percent of this increase, and the direct current-period effect of performing different tasks accounts for the remainder.
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Endowments, Skill-Biased Technology, and Factor Prices: A Unified Approach to Trade -- by Peter M. Morrow, Daniel Trefler
We develop a multi-factor, multi-sector Eaton-Kortum model in order to examine the impact of trade costs, factor endowments, and technology (both Ricardian and factor-augmenting) on factor prices, trade in goods, and trade in the services of primary factors (value-added trade). This framework nests the Heckscher-Ohlin-Vanek (HOV) model and the Vanek factor content of trade prediction. We take the model to the data using skilled and unskilled data for 38 countries. We have two findings. First, the key determinants of international variation in the factor content of trade are endowments and international variation in factor inputs used per dollar of output. Input-usage variation in turn is driven by (1) factor-augmenting international technology differences and (2) international factor price differences. Second, our estimates of factor-augmenting international technology differences -- which imply cross-country variation in skill-biased technologies -- are empirically similar to those used to rationalize cross-country evidence on income differences and directed technical change.
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Reconsidering the Consequences of Worker Displacements: Firm versus Worker Perspective -- by Aaron B. Flaaen, Matthew D. Shapiro, Isaac Sorkin
Displaced workers suffer persistent earnings losses. This stark finding has been established by following workers in administrative data after mass layoffs under the presumption that these are involuntary separations owing to economic distress. This paper examines this presumption by matching survey data on worker-supplied reasons for separations with administrative data. Workers exhibit substantially different earnings dynamics in mass layoffs depending on the reason for separation. Using a new methodology to account for the increased separation rates across all survey responses during a mass layoff, the paper finds earnings loss estimates that are surprisingly close to those using only administrative data.
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Why are Banks Exposed to Monetary Policy? -- by Sebastian Di Tella, Pablo Kurlat
We propose a model of banks' exposure to movements in interest rates and their role in the transmission of monetary shocks. Since bank deposits provide liquidity, higher interest rates allow banks to earn larger spreads on deposits. Therefore, if risk aversion is higher than one, banks' optimal dynamic hedging strategy is to take losses when interest rates rise. This risk exposure can be achieved by a traditional maturity-mismatched balance sheet, and amplifies the effects of monetary shocks on the cost of liquidity. The model can match the level, time pattern, and cross-sectional pattern of banks' maturity mismatch.
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A Stream of Prospects or a Prospect of Streams: On the Evaluation of Intertemporal Risks -- by James Andreoni, Paul Feldman, Charles Sprenger
Recent debate has identified important gaps in the understanding of intertemporal risks. Critical to closing these gaps is evidence on which dimension of intertemporal risk - the risk or the time - is evaluated first. Though under discounted expected utility this ordering is of no consequence, under discounted non-expected utility models the order of evaluation is critical. We provide experimental tests in which different orderings of evaluation generate different predictions for behavior. We find more support for the notion that the risk dimension is evaluated first.
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High Wage Workers Work for High Wage Firms -- by Katarina Borovickova, Robert Shimer
We develop a new approach to measuring the correlation between the types of matched workers and firms. Our approach accurately measures the correlation in data sets with many workers and firms, but a small number of independent observations for each. Using administrative data from Austria, we find that the correlation between worker and firm types lies between 0.4 and 0.6. We use artificial data sets with correlated worker and firm types to show that our estimator is accurate. In contrast, the Abowd, Kramarz and Margolis (1999) fixed effects estimator suggests no correlation between types in our data set. We show both theoretically and empirically that this reflects an incidental parameter problem.
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Household Inequality and the Consumption Response to Aggregate Real Shocks -- by Gene Amromin, Mariacristina De Nardi, Karl Schulze
To what extent does household inequality affect the response of aggregate consumption to aggregate real shocks? We first review two state-of-the-art papers with household heterogeneity and aggregate uncertainty. They teach us that having a larger fraction of poor and borrowing constrained households, who have a high marginal propensity to consume, amplifies the drop in aggregate consumption in response to a negative aggregate real shock. We then move on to the Panel Study of Income Dynamics (PSID) and Equifax data to quantify the fraction of people that are constrained in their consumption choices and to study how that fraction has changed before and after the Great Recession. We argue that the role of constraints cannot be adequately captured by only having a large share of households with no wealth before a recession. We find that, for all of the measures that we consider, the fraction of households that are borrowing constrained has drastically increased since the onset of the Great Recession and that it has remained high, or even increased, all the way through 2012, the last year for which we currently have PSID data. Thus, it is not surprising that aggregate consumption has experienced such a large drop and remained depressed for a long time.
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The Marginal Product of Climate -- by Tatyana Deryugina, Solomon Hsiang
We develop an empirical approach to value changes to a climate in terms of total market output given optimal factor allocations in general equilibrium. Our approach accounts for unobservable heterogeneity across locations as well as the costs and benefits of adaptation in climates of arbitrary dimension. Importantly, we demonstrate that the Envelope Theorem implies the marginal product of a long-run climate can be exactly identified using only idiosyncratic weather variation. We apply this method to the temperature climate of the modern United States and find that, despite evidence that populations adapt, the marginal product of temperature has remained unchanged during 1970-2010, with high temperatures having low net value. Integrating marginal products recovers a value function for temperature, describing the causal effect of non-marginal climate changes net of adaptive re-optimization. We use this value function to consider the influence of temperature in the current cross-section and a future climate change scenario.
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Shrinking the Cross Section -- by Serhiy Kozak, Stefan Nagel, Shrihari Santosh
We construct a robust stochastic discount factor (SDF) that summarizes the joint explanatory power of a large number of cross-sectional stock return predictors. Our method achieves robust out-of-sample performance in this high-dimensional setting by imposing an economically motivated prior on SDF coefficients that shrinks the contributions of low-variance principal components of the candidate factors. While empirical asset pricing research has focused on SDFs with a small number of characteristics-based factors--e.g., the four- or five-factor models discussed in the recent literature--we find that such a characteristics-sparse SDF cannot adequately summarize the cross-section of expected stock returns. However, a relatively small number of principal components of the universe of potential characteristics-based factors can approximate the SDF quite well.
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Wages and Employment: The Canonical Model Revisited -- by Audra Bowlus, Eda Bozkurt, Lance Lochner, Chris Robinson
The basic canonical model fails to predict the aggregate college premium outside of the original sample period (1963-1987) or to account for the observed deviations in college premia for younger vs. older workers. This paper documents that these failings are due to mis-measurement of the relevant prices and quantities when using composition adjustment methods to construct relative skill prices and supplies, which ignore cohort effects that are particularly important in the 1980s and 1990s. Re-estimating the model with prices and quantities that incorporate cohort effects produces a good fit for the out of sample prediction and explains the observed deviation in the college premium for younger vs. older workers even with perfect substitutability across age. Moreover, the estimated elasticity of substitution between high and low skill is higher and there is a much smaller role for skill-biased technical change in explaining the path of the college wage premium. The elasticity of substitution is also an important parameter for the broader literature on education and wages, especially in assessing general equilibrium responses to government policies. In the case of a tuition subsidy, price responses can undo most of the direct (partial equilibrium) effect of the subsidy on enrolment, so that general equilibrium enrolment responses are substantially weaker. The higher elasticity estimated in this paper, produces much weaker general equilibrium relative price changes and stronger enrolment effects.
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A New Index of Debt Sustainability -- by Olivier J. Blanchard, Mitali Das
Debt sustainability is fundamentally a probabilistic concept: Debt is rarely sustainable with probability one. We propose an index of external debt sustainability that reflects this uncertainty. Namely we construct the index as the probability that, at the current exchange rate, net external debt is equal to or less than the present value of net exports. Constructing this index involves three steps: (1) deriving the distribution of the present value of net exports at the current exchange rate; (2) deriving the distribution of exchange rates associated with the condition that, for each realization, the present discounted value of net exports is at least equal to the value of current net debt; and (3) assessing where the current exchange rate stands in the distribution of exchange rates and thus the probability that debt is sustainable. Having shown how this can be done, we then compute the index for two countries, the United States and Chile. Our main conclusion is the large degree of uncertainty implied by the presence of large gross asset and liability positions, together with uncertainty about rates of return on these assets and liabilities. The size of the distribution of exchange rate adjustments implies that one should be careful in concluding that debt is or is not sustainable at the current exchange rate and that strong measures are potentially needed to reestablish sustainability. Exchange rates that appear overvalued in the baseline may still imply a reasonably high probability that debt is sustainable at the current exchange rate; symmetrically, exchange rates that appear undervalued in the baseline may still come with a reasonably low probability that debt is unsustainable at the current exchange rate.
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New Evidence of Generational Progress for Mexican Americans -- by Brian Duncan, Jeffrey Grogger, Ana Sofia Leon, Stephen J. Trejo
U.S.-born Mexican Americans suffer a large schooling deficit relative to other Americans, and standard data sources suggest that this deficit does not shrink between the 2nd and later generations. Standard data sources lack information on grandparents' countries of birth, however, which creates potentially serious issues for tracking the progress of later-generation Mexican Americans. Exploiting unique NLSY97 data that address these measurement issues, we find substantial educational progress between the 2nd and 3rd generations for a recent cohort of Mexican Americans. Such progress is obscured when we instead mimic the limitations inherent in standard data sources.
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The Long-run Effects of Agricultural Productivity on Conflict, 1400-1900 -- by Murat Iyigun, Nathan Nunn, Nancy Qian
This paper provides evidence of the long-run effects of a permanent increase in agricultural productivity on conflict. We construct a newly digitized and geo-referenced dataset of battles in Europe, the Near East and North Africa covering the period between 1400 and 1900 CE. For variation in permanent improvements in agricultural productivity, we exploit the introduction of potatoes from the Americas to the Old World after the Columbian Exchange. We find that the introduction of potatoes permanently reduced conflict for roughly two centuries. The results are driven by a reduction in civil conflicts.
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Leaving Money on the Table? Suboptimal Enrollment in the New Social Pension Program in China -- by Xi Chen, Lipeng Hu, Jody L. Sindelar
China's recently implemented New Rural Pension Scheme (NRPS), the largest social pension program in the world, was designed to provide financial protection for its rural population and reduce economic inequities. Yet the impact of this program is mitigated if those eligible fail to enroll. This paper examines the extent to which pension-eligible individuals, and their families, make optimal pension decisions. Families are involved in the NRPS decisions because, in most cases, adult children need to enroll as a prerequisite of their parents' receipt of benefits. We examine the decisions of both those eligible for pension benefits (i.e. over 60 years old) and their adult children. We use the rural sample of the 2012 China Family Panel Study to study determinants of the decision to enroll in NRPS, premiums paid, and time taken to enroll. We find evidence of low and suboptimal pension enrollment by eligible individuals and their families. Suboptimal enrollment takes various forms including failure to switch from the dominated default pension program to NRPS and little evidence that families make mutually beneficial intra-family decisions. For the older cohort, few individual and family characteristics are significant in enrollment decisions, but village characteristics play an important role. For the younger cohort, we find that more individual-level characteristics are significant, including own and children's education. Village characteristics are important but not as much as for the older cohort.
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Credit Default Swaps, Agency Problems, and Management Incentives -- by Jongsub Lee, Junho Oh, David Yermack
We show in a theoretical model that credit default swaps induce managerial agency problems through two channels: reducing the opportunity for managers to transfer value to equityholders from creditors via strategic default, and reducing the intensity of monitoring by creditors, which leads to greater CEO diversion of assets as perquisites. We further show that boards can use compensation awards that increase managerial performance incentives (delta) and risk-taking incentives (vega) in order to mitigate these two agency problems, with increases in managerial vega being particularly useful to alleviate the strategic default-related agency problem. We study equity compensation awards to CEOs of S&P 1500 companies during 2001-2015 and find that they occur in patterns consistent with these predictions.
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Environmental, Social, and Governance Criteria: Why Investors are Paying Attention -- by Ravi Jagannathan, Ashwin Ravikumar, Marco Sammon
We find that money managers could reduce portfolio risk by incorporating Environmental, Social, and Governance (ESG) criteria into their investment process. ESG-related issues can cause sudden regulatory changes and shifts in consumer tastes, resulting in large asset price swings which leave investors limited time to react. By incorporating ESG criteria in their investment strategy, money managers can tilt their holdings towards firms which are well prepared to deal with these changes, thereby managing exposure to these rare but potentially large risks.
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Who Becomes an Inventor in America? The Importance of Exposure to Innovation -- by Alexander M. Bell, Raj Chetty, Xavier Jaravel, Neviana Petkova, John Van Reenen
We characterize the factors that determine who becomes an inventor in America by using de-identified data on 1.2 million inventors from patent records linked to tax records. We establish three sets of results. First, children from high-income (top 1%) families are ten times as likely to become inventors as those from below-median income families. There are similarly large gaps by race and gender. Differences in innate ability, as measured by test scores in early childhood, explain relatively little of these gaps. Second, exposure to innovation during childhood has significant causal effects on children's propensities to become inventors. Growing up in a neighborhood or family with a high innovation rate in a specific technology class leads to a higher probability of patenting in exactly the same technology class. These exposure effects are gender-specific: girls are more likely to become inventors in a particular technology class if they grow up in an area with more female inventors in that technology class. Third, the financial returns to inventions are extremely skewed and highly correlated with their scientific impact, as measured by citations. Consistent with the importance of exposure effects and contrary to standard models of career selection, women and disadvantaged youth are as under-represented among high-impact inventors as they are among inventors as a whole. We develop a simple model of inventors' careers that matches these empirical results. The model implies that increasing exposure to innovation in childhood may have larger impacts on innovation than increasing the financial incentives to innovate, for instance by cutting tax rates. In particular, there are many "lost Einsteins" -- individuals who would have had highly impactful inventions had they been exposed to innovation.
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