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10
New NBER Working Papers This Week - September 12th, 2016
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For access to gated papers, make a request on /r/Scholar. Most papers can also be found, ungated, on their author's website.

Feel free to discuss any of these papers in the comments section below. Please refrain from reposting any of these papers to this sub.


Behavioral Economics

**Efficiency-Morality Trade-Offs in Repugnant Transactions: A Choice Experiment Julio J. Elias, Nicola Lacetera, Mario Macis

Societies prohibit many transactions considered morally repugnant, although potentially efficiency-enhancing. We conducted an online choice experiment to characterize preferences for the morality and efficiency of payments to kidney donors. Preferences were heterogeneous, ranging from deontological to strongly consequentialist; the median respondent would support payments by a public agency if they increased the annual kidney supply by six percentage points, and private transactions for a thirty percentage-point increase. Fairness concerns drive this difference. Our findings suggest that cost-benefit considerations affect the acceptance of morally controversial transactions, and imply that trial studies of the effects of payments would inform the public debate.

Development

Heterogeneous Impact Dynamics of a Rural Business Development Program in Nicaragua Michael R. Carter, Emilia Tjernström, Patricia Toledo

We study the impacts of a rural development program designed to boost the income of the small-farm sector in Nicaragua. Exploiting the random assignment of treatment, we find statistically and economically significant impacts on farm incomes and investment in farm capital. Using continuous treatment estimation techniques, we examine the evolution of program impacts over time and find that incomes in the activities targeted by the program as well as farm capital rise significantly over time, even after the expiration of the program. Because of the temporal pattern of impacts, shorter-term binary treatment estimators do not fully capture the impacts of the program. Additionally, panel quantile methods reveal striking heterogeneity of program impacts on both income and investment. We show that this heterogeneity is not random, and that there are some low-performing households that simply do not benefit from this program that tried to engage them as agricultural entrepreneurs. While the benefit-cost ratio of the program is on average highly positive, these findings on impact heterogeneity signal limitations of business development programs as a way to eliminate rural poverty.

Financial Risk Protection from Social Health Insurance Kayleigh Barnes, Arnab Mukherji, Patrick Mullen, Neeraj Sood

This paper estimates the impact of social health insurance on financial risk reduction by utilizing data from a natural experiment created by the phased roll out of a social health insurance program for the poor in India. We estimate the impact of insurance on the distribution of out-of-pocket costs, frequency and amount of money borrowed for health reasons, and the likelihood of incurring catastrophic health expenditures. We use a stylized expected utility model to compute the welfare effects associated with changes due to insurance in the distribution of out-of-pocket costs. We adjust the standard model to account for the unique conditions of a developing country by incorporating consumption floors, informal borrowing, and selling of assets. These adjustments allow us to estimate the value of financial risk reduction from both consumption smoothing and asset protection channels. Our results show that social insurance reduces out-of-pocket costs with larger effects in the higher quantiles of the out-of-pocket cost distribution. In addition, we find a reduction in the frequency and amount of money borrowed for health reasons. Finally, we find that the value of financial risk reduction outweighs the total per household cost of the social insurance program by two to five times.

Heterogeneous Wealth Dynamics: On the Roles of Risk and Ability Paulo Santos, Christopher B. Barrett

This paper studies the causal mechanisms behind persistent poverty. Using original data on Boran pastoralists of southern Ethiopia, we find that heterogeneous and nonlinear wealth dynamics arise purely in adverse states of nature. In favorable states, expected herd grow is quasi-linear and universal. We further show that those with lower herding ability, as reflected in past herd growth data, converge to a unique equilibrium at a small herd size while those with higher ability exhibit multiple stable dynamic wealth equilibria.

The Perils of Top-down State Building: Evidence from Colombia's False Positives Daron Acemoglu, Leopoldo Fergusson, James A. Robinson, Dario Romero, Juan F. Vargas

How should a state which lacks the monopoly of violence go about acquiring it? We investigate the use of high-powered incentives for members of the Colombian army as part of a strategy to combat left-wing guerillas and build the state's monopoly of violence. We show that this top-down state-building effort produced several perverse side effects. Innocent civilians were killed and misrepresented as guerillas (a phenomenon known in Colombia as 'false positives'). Exploiting the fact that Colombian colonels have stronger career concerns and should be more responsive to such incentives, we show that there were significantly more false positives during the period of high-powered incentives in municipalities where a higher share of brigades were commanded by colonels and in those where checks coming from civilian judicial institutions were weaker. We further find that in municipalities with a higher share of colonels, the period of high-powered incentives coincided with a worsening of local judicial institutions and the security situation, with more frequent attacks not just by the guerillas but also by paramilitaries.

How should a state which lacks the monopoly of violence go about acquiring it? We investigate the use of high-powered incentives for members of the Colombian army as part of a strategy to combat left-wing guerillas and build the state's monopoly of violence. We show that this top-down state-building effort produced several perverse side effects. Innocent civilians were killed and misrepresented as guerillas (a phenomenon known in Colombia as 'false positives'). Exploiting the fact that Colombian colonels have stronger career concerns and should be more responsive to such incentives, we show that there were significantly more false positives during the period of high-powered incentives in municipalities where a higher share of brigades were commanded by colonels and in those where checks coming from civilian judicial institutions were weaker. We further find that in municipalities with a higher share of colonels, the period of high-powered incentives coincided with a worsening of local judicial institutions and the security situation, with more frequent attacks not just by the guerillas but also by paramilitaries.

Econometrics

A Framework for Eliciting, Incorporating, and Disciplining Identification Beliefs in Linear Models Francis DiTraglia, Camilo García-Jimeno

To estimate causal effects from observational data, an applied researcher must impose beliefs. The instrumental variables exclusion restriction, for example, represents the belief that the instrument has no direct effect on the outcome of interest. Yet beliefs about instrument validity do not exist in isolation. Applied researchers often discuss the likely direction of selection and the potential for measurement error in their papers but at present lack formal tools for incorporating this information into their analyses. As such they not only leave money on the table, by failing to use all relevant information, but more importantly run the risk of reasoning to a contradiction by expressing mutually incompatible beliefs. In this paper we characterize the sharp identified set relating instrument invalidity, treatment endogeneity, and measurement error in a workhorse linear model, showing how beliefs over these three dimensions are mutually constrained. We consider two cases: in the first the treatment is continuous and subject to classical measurement error; in the second it is binary and subject to non-differential measurement error. In each, we propose a formal Bayesian framework to help researchers elicit their beliefs, incorporate them into estimation, and ensure their mutual coherence. We conclude by illustrating the usefulness of our proposed methods on a variety of examples from the empirical microeconomics literature.

Environmental and Energy Economics

Agro-Ecosystem Productivity and the Dynamic Response to Shocks Jean-Paul Chavas

This paper investigates the nonlinear dynamic response to shocks, relying on a threshold quantile autoregression (TQAR) model as a flexible representation of stochastic dynamics. The TQAR model can identify zones of stability/instability and characterize resilience and traps. Resilience means high odds of escaping from undesirable zones of instability toward zones that are more desirable and stable. Traps mean low odds of escaping from zones that are both undesirable and stable. The approach is illustrated in an application to the dynamics of productivity applied to historical data on wheat yield in Kansas over the period 1885-2012. The dynamics of this agroecosystem and its response to shocks are of interest as Kansas agriculture faced major droughts, including the catastrophic Dust Bowl of the 1930’s. The analysis identifies a zone of instability in the presence of successive adverse shocks. It also finds evidence of resilience. We associate the resilience with induced innovations in management and policy in response to adverse shocks.

Industrial Organization

Technological Leadership (de)Concentration: Causes in ICTE Yasin Ozcan, Shane Greenstein

Using patents as indicators of inventive activity, this article characterizes the concentration of origins of invention from 1976 to 2010, and how these changed over time. The analysis finds pervasive deconcentration in virtually every area related to ICT, but it can explain only a small part of this trend. Deconcentration happens despite the role of lateral entry by existing firms. New firm entry drives part of the deconcentration, but this alone cannot explain the change. A single supply factor in the market for ideas, such as the breakup of AT&T, also cannot explain the trend. Finally, eleven percent of patents change hands through mergers and acquisitions activity, but this does not make up for the declines in concentration in the origins of invention.

**Firm Age and Size and the Financial Management of Infrequent Shocks Benjamin L. Collier, Andrew F. Haughwout, Howard C. Kunreuther, Erwann O. Michel-Kerjan, Michael A. Stewart

Age and size distinctly affect firms’ financial management of infrequent risks. We examine a rare, severe event using detailed firm-level data collected following Hurricane Sandy in the New York area. Our results follow recent contributions from dynamic risk management theory, namely that larger firms are more likely to insure and to use credit after a shock. We build on this theory, showing tradeoffs between managing frequent versus infrequent risks: young firms, exposed to many risks, do not insure against infrequent events and are ex post credit constrained. Consequently, younger firms and smaller firms disproportionately bore the costs of the shock.

Designing Online Marketplaces: Trust and Reputation Mechanisms Michael Luca

Online marketplaces have proliferated over the past decade, creating new markets where none existed. By reducing transaction costs, online marketplaces facilitate transactions that otherwise would not have occurred and enable easier entry of small sellers. One central challenge faced by designers of online marketplaces is how to build enough trust to facilitate transactions between strangers. This paper provides an economist’s toolkit for designing online marketplaces, focusing on trust and reputation mechanisms.

Using Big Data to Estimate Consumer Surplus: The Case of Uber Peter Cohen, Robert Hahn, Jonathan Hall, Steven Levitt, Robert Metcalfe

Estimating consumer surplus is challenging because it requires identification of the entire demand curve. We rely on Uber’s “surge” pricing algorithm and the richness of its individual level data to first estimate demand elasticities at several points along the demand curve. We then use these elasticity estimates to estimate consumer surplus. Using almost 50 million individual-level observations and a regression discontinuity design, we estimate that in 2015 the UberX service generated about $2.9 billion in consumer surplus in the four U.S. cities included in our analysis. For each dollar spent by consumers, about $1.60 of consumer surplus is generated. Back-of-the-envelope calculations suggest that the overall consumer surplus generated by the UberX service in the United States in 2015 was $6.8 billion.

Labor

Is The Mediterranean The New Rio Grande? US And EU Immigration Pressures In The Long Run Gordon Hanson, Craig McIntosh

How will worldwide changes in population affect pressures for international migration in the future? We contrast the past three decades, during which population pressures contributed to substantial labor flows from neighboring countries into the United States and Europe, with the coming three decades, which will see sharp reductions in labor-supply growth in Latin America but not in Africa or much of the Middle East. Using a gravity-style empirical model, we examine the contribution of changes in relative labor-supply to bilateral migration in the 2000s and then apply this model to project future bilateral flows based on long-run UN forecasts of working-age populations in sending and receiving countries. Because the Americas are entering an era of uniformly low population growth, labor flows across the Rio Grande are projected to slow markedly. Europe, in contrast, will face substantial demographically driven migration pressures from across the Mediterranean for decades to come. Although these projected inflows would triple the first-generation immigrant stocks of larger European countries, they would still absorb only a small fraction of the 800-million-person increase in the working-age population of Sub-Saharan Africa that is projected to occur over the coming 40 years.

Student Coaching: How Far Can Technology Go? Philip Oreopoulos, Uros Petronijevic

Recent studies show that programs offering structured, one-on-one coaching and tutoring tend to have large effects on the academic outcomes of both high school and college students. These programs are often costly to implement and difficult to scale, however, calling into question whether making them available to large student populations is feasible. In contrast, interventions that rely on technology to maintain low-touch contact with students can be implemented at large scale and minimal cost but with the risk of not being as effective as one-on-one, in-person assistance. In this paper, we test whether the effects of coaching programs can be replicated at scale by using technology to reach a larger population of students. We work with a sample of over four thousand undergraduate students from a large Canadian university, randomly assigning students into one of the following three interventions: (i) a one-time online exercise designed to affirm students’ values and goals; (ii) a text messaging campaign that provides students with academic advice, information, and motivation; and (iii) a personal coaching service, in which students are matched with upper-year undergraduate coaches. We find large positive effects from the coaching program, as coached students realize a 0.3 standard deviation increase in average grades and a 0.35 standard deviation increase in GPA. In contrast, we find no effects from either the online exercise or the text messaging campaign on any academic outcome, both in the general student population and across several student subgroups. A comparison of the key features of the text messaging campaign and the coaching service suggests that proactively and regularly initiating conversations with students and working to establish trust are important design features to incorporate in future interventions that use technology to reach large populations of students.

High-Skilled Immigration and the Rise of STEM Occupations in U.S. Employment Gordon H. Hanson, Matthew J. Slaughter

In this paper, we document the importance of high-skilled immigration for U.S. employment in STEM fields. To begin, we review patterns of U.S. employment in STEM occupations among workers with at least a college degree. These patterns mirror the cycle of boom and bust in the U.S. technology industry. Among younger workers, the share of hours worked in STEM jobs peaked around the year 2000, at the height of the dot-com bubble. STEM employment shares are just now approaching these previous highs. Next, we consider the importance of immigrant labor to STEM employment. Immigrants account for a disproportionate share of jobs in STEM occupations, in particular among younger workers and among workers with a master's degree or PhD. Foreign-born presence is most pronounced in computer-related occupations, such as software programming. The majority of foreign-born workers in STEM jobs arrived in the U.S. at age 21 or older. Although we do not know the visa history of these individuals, their age at arrival is consistent with the H-1B visa being an important mode of entry for highly trained STEM workers into the U.S. Finally, we examine wage differences between native and foreign-born labor. Whereas foreign-born workers earn substantially less than native-born workers in non-STEM occupations, the native-foreign born earnings difference in STEM jobs is much smaller. Further, foreign-born workers in STEM fields reach earnings parity with native workers much more quickly than they do in non-STEM fields. In non-STEM jobs, foreign-born workers require 20 years or more in the U.S. to reach earnings parity with natives; in STEM fields, they achieve parity in less than a decade.

Thrivers and Divers: Using Non-Academic Measures to Predict College Success and Failure Graham Beattie, Jean-William P. Laliberté, Philip Oreopoulos

We collect a comprehensive set of non-academic characteristics for a representative sample of incoming freshman to explore which measures best predict the wide variance in first-year college performance unaccounted for by past grades. We focus our attention on student outliers. Students whose first-year college average is far below expectations (divers) have a high propensity for procrastination – they self-report cramming for exams and wait longer before starting assignments. They are also considerably less conscientious than their peers. Divers are more likely to express superficial goals, hoping to 'get rich' quickly. In contrast, students who exceed expectations (thrivers) express more philanthropic goals, are purpose-driven, and are willing to study more hours per week to obtain the higher GPA they expect. A simple seven-variable average of these key non-academic variables does well in predicting college achievement relative to adding more variables or letting a machine-algorithm choose. Our results, descriptive in nature, warrant further research on the importance of non-linearities for the design and targeting of successful interventions in higher-education.

Macro and Monetary Economics

Real Interest Rates, Imbalances and the Curse of Regional Safe Asset Providers at the Zero Lower Bound Pierre-Olivier Gourinchas, Hélène Rey

The current environment is characterized by low real rates and by policy rates close to or at their lower bound in all major financial areas. We analyze these unusual economic conditions from a historical perspective and draw some implications for external imbalances, safe asset demand and the process of external adjustment. First, we decompose the fluctuations in the world consumption wealth ratio over long period of times and show that they anticipate movements of the real rate of interest. Second, our estimates suggest that the world real rate of interest is likely to remain low or negative for an extended period of time. In this context, we argue that there is a renewed Triffin dilemma where safe asset providers face a trade-off in terms of external exposure and real appreciation of their currency. This tradeoff is particularly acute for smaller economies. This is the ‘curse of the regional safe asset provider.’ We discuss how this ‘curse’ is playing out for two prominent regional safe asset providers: core EMU and Switzerland.

Nominal Rigidities in Debt and Product Markets Carlos Garriga, Finn E. Kydland, Roman Šustek

Standard models used for monetary policy analysis rely on sticky prices. Recently, the literature started to explore also nominal debt contracts. Focusing on mortgages, this paper compares the two channels of transmission within a common framework. The sticky price channel is dominant when shocks to the policy interest rate are temporary, the mortgage channel is important when the shocks are persistent. The first channel has significant aggregate effects but small redistributive effects. The opposite holds for the second channel. Using yield curve data decomposed into temporary and persistent components, the redistributive and aggregate consequences are found to be quantitatively comparable.

The Importance of Unemployment Insurance as an Automatic Stabilizer Marco Di Maggio, Amir Kermani

We assess the extent to which unemployment insurance (UI) serves as an automatic stabilizer to mitigate the economy's sensitivity to shocks. Using a local labor market design based on heterogeneity in local benefit generosity, we estimate that a one standard deviation increase in generosity attenuates the effect of adverse shocks on employment growth by 7% and on earnings growth by 6%. Consistent with a local demand channel, we find that consumption is less responsive to local labor demand shocks in counties with more generous benefits. Our analysis finds that the local fiscal multiplier of unemployment insurance expenditure is approximately 1.9.

Mobile Collateral versus Immobile Collateral Gary Gorton, Tyler Muir

In the face of the Lucas Critique, economic history can be used to evaluate policy. We use the experience of the U.S. National Banking Era to evaluate the most important bank regulation to emerge from the financial crisis, the Bank for International Settlement's liquidity coverage ratio (LCR) which requires that (net) short-term (uninsured) bank debt (e.g. repo) be backed one-for-one with U.S. Treasuries (or other high quality bonds). The rule is narrow banking. The experience of the U.S. National Banking Era, which also required that bank short-term debt be backed by Treasury debt one-for-one, suggests that the LCR is unlikely to reduce financial fragility and may increase it.

Debt Constraints and Employment Patrick Kehoe, Elena Pastorino, Virgiliu Midrigan

During the Great Recession, regions of the United States that experienced the largest declines in household debt also experienced the largest drops in consumption, employment, and wages. Employment declines were larger in the nontradable sector and for firms that were facing the worst credit conditions. Motivated by these findings, we develop a search and matching model with credit frictions that affect both consumers and firms. In the model, tighter debt constraints raise the cost of investing in new job vacancies and thus reduce worker job finding rates and employment. Two key features of our model, on-the-job human capital accumulation and consumer-side credit frictions, are critical to generating sizable drops in employment. On-the-job human capital accumulation makes the flows of benefits from posting vacancies long-lived and so greatly amplifies the sensitivity of such investments to credit frictions. Consumer-side credit frictions further magnify these effects by leading wages to fall only modestly. We show that the model reproduces well the salient cross-regional features of the U.S. data during the Great Recession.

Real-Time Forecast Evaluation of DSGE Models with Stochastic Volatility Francis X. Diebold, Frank Schorfheide, Minchul Shin

Recent work has analyzed the forecasting performance of standard dynamic stochastic general equilibrium (DSGE) models, but little attention has been given to DSGE models that incorporate nonlinearities in exogenous driving processes. Against that background, we explore whether incorporating stochastic volatility improves DSGE forecasts (point, interval, and density). We examine real-time forecast accuracy for key macroeconomic variables including output growth, inflation, and the policy rate. We find that incorporating stochastic volatility in DSGE models of macroeconomic fundamentals markedly improves their density forecasts, just as incorporating stochastic volatility in models of financial asset returns improves their density forecasts.

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