Spillover Effects and R&D-Cooperations
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Detecting Spillover Effects: Design and Analysis of Multilevel Experiments
This is a preprint of an article published in [Sinclair, Betsy, Margaret McConnell, and Donald P. Green. 2012. Detecting Spillover Effects: Design and Analysis of Multi-level Experiments. American Journal of Political Science 56: 1055-1069]. Pagination of this preprint may differ slightly from the published version. Detecting Spillover Effects: Design and Analysis of Multilevel Experiments Betsy Sinclair University of Chicago Margaret McConnell Harvard University Donald P. Green Columbia University Interpersonal communication presents a methodological challenge and a research opportunity for researchers involved infield experiments. The challenge is that communication among subjects blurs the line between treatment and control conditions. When treatment effects are transmitted from subject to subject, the stable unit treatment value assumption (SUTVA) is violated, and comparison of treatment and control outcomes may provide a biased assessment of the treatment’s causal influence. Social scientists are increasingly interested in the substantive phenomena that lead to SUTVA violations, such as communication in advance of an election. Experimental designs that gauge SUTVA violations provide useful insights into the extent and influence of interpersonal communication. This article illustrates the value of one such design, a multilevel experiment in which treatments are randomly assigned to individuals and varying proportions of their neighbors. After describing the theoretical and statistical underpinnings of this design, we apply it to a large-scale voter-mobilization experiment conducted in Chicago during a special election in 2009 using social-pressure mailings that highlight individual electoral participation. We find some evidence of within-household spillovers but no evidence of spillovers across households. We conclude by discussing how multilevel designs might be employed in other substantive domains, such as the study of deterrence and policy diffusion. -
The Macroeconomic Spillover Effects of the Pandemic on the Global Economy
BIS Bulletin No 4 The macroeconomic spillover effects of the pandemic on the global economy Emanuel Kohlscheen, Benoît Mojon and Daniel Rees 6 April 2020 BIS Bulletins are written by staff members of the Bank for International Settlements, and from time to time by other economists, and are published by the Bank. The papers are on subjects of topical interest and are technical in character. The views expressed in them are those of their authors and not necessarily the views of the BIS. The authors are grateful to Burcu Erik for excellent analysis and research assistance, and to Louisa Wagner for administrative support. The editor of the BIS Bulletin series is Hyun Song Shin. This publication is available on the BIS website (www.bis.org). © Bank for International Settlements 2020. All rights reserved. Brief excerpts may be reproduced or translated provided the source is stated. ISSN: 2708-0420 (online) ISBN: 92-9197-359-9 (online) Emanuel Kohlscheen Benoît Mojon Daniel Rees [email protected] [email protected] [email protected] The macroeconomic spillover effects of the pandemic on the global economy Key takeaways • Given the historical persistence of economic activity, the reduction of GDP due to confinement measures is likely to drag on over several quarters. The total GDP shortfall could be as much as twice that implied by the direct initial effects of confinement. • This persistence reflects in part two types of spillovers across countries. One is due to the risk that uncoordinated confinements lead to repeated virus outbreaks and confinements across the globe. Another is the more traditional trade and financial integration interlinkages. -
Robust Score and Portmanteau Tests of Volatility Spillover Mike Aguilar, Jonathan B
Journal of Econometrics 184 (2015) 37–61 Contents lists available at ScienceDirect Journal of Econometrics journal homepage: www.elsevier.com/locate/jeconom Robust score and portmanteau tests of volatility spillover Mike Aguilar, Jonathan B. Hill ∗ Department of Economics, University of North Carolina at Chapel Hill, United States article info a b s t r a c t Article history: This paper presents a variety of tests of volatility spillover that are robust to heavy tails generated by Received 27 March 2012 large errors or GARCH-type feedback. The tests are couched in a general conditional heteroskedasticity Received in revised form framework with idiosyncratic shocks that are only required to have a finite variance if they are 1 September 2014 independent. We negligibly trim test equations, or components of the equations, and construct heavy Accepted 1 September 2014 tail robust score and portmanteau statistics. Trimming is either simple based on an indicator function, or Available online 16 September 2014 smoothed. In particular, we develop the tail-trimmed sample correlation coefficient for robust inference, and prove that its Gaussian limit under the null hypothesis of no spillover has the same standardization JEL classification: C13 irrespective of tail thickness. Further, if spillover occurs within a specified horizon, our test statistics C20 obtain power of one asymptotically. We discuss the choice of trimming portion, including a smoothed C22 p-value over a window of extreme observations. A Monte Carlo study shows our tests provide significant improvements over extant GARCH-based tests of spillover, and we apply the tests to financial returns data. Keywords: Finally, based on ideas in Patton (2011) we construct a heavy tail robust forecast improvement statistic, Volatility spillover which allows us to demonstrate that our spillover test can be used as a model specification pre-test to Heavy tails Tail trimming improve volatility forecasting. -
Trade and R&D Spillover Effects: Implications for Firm Level Analysis
FAO COMMODITY AND TRADE POLICY RESEARCH WORKING PAPER No. 40 TRADE AND R&D SPILLOVER EFFECTS: IMPLICATIONS FOR FIRM LEVEL ANALYSIS IN THE AGRICULTURAL SECTOR by David Skully and Manitra A. Rakotoarisoa Food and Agriculture Organization of the United Nations The designations employed and the presentation of material in this information product do not imply the expression of any opinion whatsoever on the part of the Food and Agriculture Organization of the United Nations (FAO) concerning the legal or development status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. The mention of specific companies or products of manufacturers, whether or not these have been patented, does not imply that these have been endorsed or recommended by FAO in preference to others of a similar nature that are not mentioned. The views expressed in this information product are those of the author(s) and do not necessarily reflect the views or policies of FAO. © FAO 2013 FAO encourages the use, reproduction and dissemination of material in this information product. Except where otherwise indicated, material may be copied, downloaded and printed for private study, research and teaching purposes, or for use in non-commercial products or services, provided that appropriate acknowledgement of FAO as the source and copyright holder is given and that FAO’s endorsement of users’ views, products or services is not implied in any way. All requests for translation and adaptation rights, and for resale and other commercial use rights should be made via www.fao.org/contact-us/licence- request or addressed to [email protected]. -
Place Based Interventions at Scale: the Direct and Spillover Effects of Policing and City Services on Crime
WORKING PAPER · NO. 2019-40 Place Based Interventions at Scale: The Direct and Spillover Effects of Policing and City Services on Crime Christopher Blattman, Donald Green, Daniel Ortega, Santiago Tobón JANUARY 2019 1126 E. 59th St, Chicago, IL 60637 Main: 773.702.5599 bfi.uchicago.edu Place-based interventions at scale: The direct and spillover effects of policing and city services on crime∗ Christopher Blattman Donald Green Daniel Ortega Santiago Tobón† January 15, 2019 Abstract In 2016 the city of Bogotá doubled police patrols and intensified city services on high-crime streets. They did so based on a policy and criminological consensus that such place-based programs not only decrease crime, but also have positive spillovers to nearby streets. To test this, we worked with Bogotá to experiment on an unprecedented scale. They randomly assigned 1,919 streets to either 8 months of doubled police patrols, greater municipal services, both, or neither. Such scale brings econometric challenges. Spatial spillovers in dense networks introduce bias and complicate variance estimation through “fuzzy clustering.” But a design-based approach and randomization inference produce valid hypothesis tests in such settings. In contrast to the consensus, we find intensifying state presence in Bogotá had modest but imprecise direct effects and that such crime displaced nearby, especially property crimes. Confidence intervals suggest we can rule out total reductions in crime of more than 2–3% from the two policies. More promising, however, is suggestive evidence that more state presence led to an 5% fall in homicides and rape citywide. One interpretation is that state presence may more easily deter crimes of passion than calculation, and place-based interventions could be targeted against these incredibly costly and violent crimes. -
The Spillover Effects of Top Income Inequality
The Spillover Effects of Top Income Inequality∗ Jeffrey Clemensy Joshua D. Gottliebz David H´emousx Morten Olsen{ November 2016 - Preliminary Abstract Since the 1980s top income inequality within occupations as diverse as bankers, managers, doctors, lawyers and scientists has increased considerably. Such a broad pattern has led the literature to search for a common explanation. In this paper, however, we argue that increases in income inequality originating within a few oc- cupations can\spill over"into others creating broader changes in income inequality. In particular, we study an assignment model where generalists with heterogeneous income buy the services of doctors with heterogeneous ability. In equilibrium the highest earning generalists match with the highest quality doctors and increases in income inequality among the generalists feed directly into the income inequal- ity of doctors. We use data from the Decennial Census as well as the American Community Survey from 1980 to 2014 to test our theory. Specifically, we identify occupations for which our consumption-driven theory predicts spill-overs and oc- cupations for which it does not and show that patterns align with the predictions of our model. In particular, using a Bartik-style instrument, we show that an increase in general income inequality causes higher income inequality for doctors, dentists and real estate agents; and in fact accounts for most of the increase of inequality in these occupations. ∗Morten Olsen gratefully acknowledges the financial support of the European Commission under the Marie Curie Research Fellowship program (Grant Agreement PCIG11-GA-2012-321693) and the Spanish Ministry of Economy and Competitiveness (Project ref: ECO2012-38134). -
Dependence-Robust Inference Using Resampled Statistics
Dependence-Robust Inference Using Resampled Statistics∗ Michael P. Leung† August 26, 2021 Abstract. We develop inference procedures robust to general forms of weak dependence. The procedures utilize test statistics constructed by resam- pling in a manner that does not depend on the unknown correlation structure of the data. We prove that the statistics are asymptotically normal under the weak requirement that the target parameter can be consistently estimated at the parametric rate. This holds for regular estimators under many well-known forms of weak dependence and justifies the claim of dependence-robustness. We consider applications to settings with unknown or complicated forms of de- pendence, with various forms of network dependence as leading examples. We develop tests for both moment equalities and inequalities. JEL Codes: C12, C31 Keywords: resampling, dependent data, social networks, clustered standard errors arXiv:2002.02097v4 [econ.EM] 25 Aug 2021 ∗I thank the editor and referees for comments that improved the quality of the paper. I also thank Eric Auerbach, Vittorio Bassi, Jinyong Hahn, Roger Moon, Hashem Pesaran, Kevin Song, and seminar audiences at UC Davis, USC INET, the 2018 Econometric Society Winter Meetings, the 2018 Econometrics Summer Masterclass and Workshop at Warwick, and the NetSci2018 Satellite on Causal Inference and Design of Experiments. This research is supported by NSF Grant SES-1755100. †Department of Economics, University of Southern California. E-mail: [email protected]. 1 Michael P. Leung 1 Introduction This paper builds on randomized subsampling tests due to Song (2016) and proposes inference procedures for settings in which the dependence structure of the data is complex or unknown. -
Spillover Effects of Social Policies. Can the State Support for the Unemployed Affect Employees’ Health and Wellbeing?
Spillover effects of social policies. Can the state support for the unemployed affect employees’ health and wellbeing? Anna Baranowska-Rataj, Department of Sociology, Umeå University Björn Högberg, Department of Social Work, Umeå University 1 Introduction Massive job losses and the growth of employment uncertainty in the aftermath of the Great Recession spurred public debate on the importance of labour market policies (Card et al. 2016). This discussion has focused on the two main goals: bringing people back to work and diminishing economic hardship among the unemployed. Little attention has been paid to the role of policies for dealing with other consequences of unemployment, such as mental and physical health problems and reduced overall wellbeing (O’Campo et al. 2015). Moreover, the assessments of the effects of labour market policies have been restricted to the most direct beneficiaries of these policies. A standard approach in evaluations of the effects of policies focuses on people receiving government support and treats individuals who resemble beneficiaries in a number of characteristics but do not receive support as the ‘control group’. This approach ignores the possibility of spillover effects, i.e. the fact that people who did not receive support from a policy, might still gain from it alongside with the direct beneficiaries (Angelucci & Di Maro 2016; Lundin & Karlsson 2014). The aim of this report is to provide a review of the effects of labour market policies on health and wellbeing among both the unemployed and employees, but with focus on the latter group. We elaborate on the implications of the economic theory of insurance, as well as the capability approach proposed by Sen (1999), which highlights the role of the ability to decide about oneself. -
International Spillovers of Monetary Policy Editors: Ángel Estrada García Alberto Ortiz Bolaños
BANCO DE ESPAÑA Eurosistema Joint Research Program XX Meeting of the Central Bank Researchers Network of the Americas International Spillovers of Monetary Policy Editors: Ángel Estrada García Alberto Ortiz Bolaños International Spillovers of Monetary Policy International Spillovers of Monetary Policy JOINT RESEARCH PROGRAM CENTRAL BANK RESEARCHERS NETWORK CENTER FOR LATIN AMERICAN MONETARY STUDIES Editors Ángel Estrada García Executive Coordinator, Associate Directorate General International Affairs, Banco de España <[email protected]> Alberto Ortiz Bolaños Manager of Economic Research Department, cemla Research Professor, egade Business School <[email protected]> First edition, 2017 © Center for Latin American Monetary Studies, 2017 Durango núm. 54, Colonia Roma Norte, Delegación Cuauhtémoc, 06700 Ciudad de México, México. All rights reserved ISBN: 978-607-7734-84-0 (print) ISBN: 978-607-7734-88-8 (online) Printed and made in Mexico vi PREFACE ince 2005 cemla’s Central Banks have conduc- ted joint research activities to bolster economic Sresearch on topics of mutual interest. Annual or multiannual joint research activities have been deve- loped in the following topics: i) Estimation and use of nonobservable variables in the region; ii) The deve- lopment of dynamic stochastic general equilibrium models; iii) The transmission mechanism of monetary policy; iv) Economic policy responses to the financial crisis; v) Inflationary dynamics, persistence and price and wage formation; vi) Capital flows and its macro- economic impact; vii) Asset pricing, global economic conditions and financial stability;viii) Monetary policy and financial stability in small open economies;ix) Monetary policy and financial stability; x) Monetary policy and financial conditions; andxi) Households’ financial decisions. These topics cover most of central banks’ main tasks and the developments and changes introduced since 2005. -
Containing Chinese State-Owned Enterprises?
Policy Research Working Paper 9637 Public Disclosure Authorized Containing Chinese State-Owned Enterprises? The Role of Deep Trade Agreements Public Disclosure Authorized Kevin Lefebvre Nadia Rocha Michele Ruta Public Disclosure Authorized Public Disclosure Authorized Development Economics Development Research Group & Macroeconomics, Trade and Investment Global Practice April 2021 Policy Research Working Paper 9637 Abstract Regional trade agreements increasingly include provisions regulating state-owned enterprises signed by Chinese trad- that regulate state-owned enterprises. This paper combines ing partners with third countries increase exports and entry new information on the content of “deep” regional trade of Chinese state-owned enterprises as they gain a competi- agreements and data on Chinese firm-level exports during tive edge in regulated markets. This spillover effect is robust 2000–11 to analyze the spillover effect of rules on state- to several extensions and is even stronger for agreements owned enterprises on the intensive and extensive margins that include rules on subsidies and competition policy. This of Chinese state-owned enterprises’ trade. Rather than finding points to the need for commonly agreed multilateral containing state capitalism, regional trade agreements rules to regulate state owned enterprises. This paper is a product of the Development Research Group, Development Economics and the Macroeconomics, Trade and Investment Global Practice. It is part of a larger effort by the World Bank to provide open access to its research and make a contribution to development policy discussions around the world. Policy Research Working Papers are also posted on the Web at http://www.worldbank.org/prwp. The authors may be contacted at [email protected]; [email protected]; and [email protected]. -
Regional Integration and Spillovers
REGIONAL INTEGRATION AND SPILLOVERS Contents: East Asia and Pacific (China and Japan) Europe and Central Asia (Russia and Turkey) Latin America and Caribbean (Brazil and Mexico) Middle East & North Africa (Egypt and Turkey) South Asia (India) Sub-Saharan Africa (Nigeria and South Africa) REGIONAL INTEGRATION AND SPILLOVERS East Asia and Pacific G LOBAL ECONOMIC PROSPECTS | JANUARY 2016 EAST ASIA AND PACIFIC 73 BOX 2.1.1 Regional integration and spillovers: East Asia and Pacific Countries in East Asia and Pacific (EAP) are deeply integrated with the global economy and with each other. China has become the largest trading partner and source of FDI for the region, although Japan remains one of the largest sources of FDI for several economies. Reflecting this integration, a growth slowdown in China could result in sizeable spillovers to a large number of countries, while a slowdown in Japan would primarily affect Malaysia, Thailand, and Indonesia. Slowdowns in major advanced economies outside the region could also have sizeable spillovers. Introduction FIGURE 2.1.1.1 Cross-region comparisons EAP is characterized by deep regional and global The region is open to global trade and finance. integration through trade and investment flows.1 The region accounts for about 25 percent of global trade A. EAP: Share of global activity, trade and finance, 2014 (Figure 2.1.1.1), and its economies are among the most integrated into global value chains. Intra-regional trade and foreign direct investment (FDI) are substantial: in 2014, countries within the region accounted for 51 percent of the region’s trade and 44.1 percent of its FDI inflows. -
A Data-Driven Method for Reconstructing a Distribution from a Truncated Sample with an Application to Inferring Car-Sharing Demand
A data-driven method for reconstructing a distribution from a truncated sample with an application to inferring car-sharing demand Evan Fields1, Carolina Osorio1,2, and Tianli Zhou2 1Massachusetts Institute of Technology Operations Research Center 2Massachusetts Institute of Technology Civil and Environmental Engineering August 8, 2018 Abstract This paper proposes a method to recover an unknown probability distribution given a censored or truncated sample from that distribution. The proposed method is a novel and conceptually simple detruncation method based on sampling the observed data accord- ing to weights learned by solving a simulation-based optimization problem; this method is especially appropriate in cases where little analytic information is available but the truncation process can be simulated. The proposed method is compared to the ubiqui- tous maximum likelihood (MLE) method in a variety of synthetic validation experiments where it is found that the proposed method performs slightly worse than perfectly specified MLE and competitively with slight misspecified MLE . The practical application of this method is then demonstrated via a pair of case studies in which the proposed detruncation method is used alongside a car-sharing service simulator to estimate demand for round trip car-sharing services in the Boston and New York metropolitan areas. 1 Introduction Car-sharing is a transportation service in which travelers use cars that they do not own; the vehicles are thus shared between users of the car-sharing service. In this work, we focus on round-trip station-based car-sharing, which is one of the most common types of car-sharing worldwide (Barth and Shaheen 2002).