Institution
Boston College
Education•Boston, Massachusetts, United States•
About: Boston College is a education organization based out in Boston, Massachusetts, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 9749 authors who have published 25406 publications receiving 1105145 citations. The organization is also known as: BC.
Papers published on a yearly basis
Papers
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TL;DR: In this article, the authors aim to develop a stronger understanding of customer experience and the customer journey in this era of increasingly complex customer behavior by examining existing definitions and conceptualizations of customer experiences as a construct.
Abstract: Understanding customer experience and the customer journey over time is critical for firms. Customers now interact with firms through myriad touch points in multiple channels and media, and customer experiences are more social in nature. These changes require firms to integrate multiple business functions, and even external partners, in creating and delivering positive customer experiences. In this article, the authors aim to develop a stronger understanding of customer experience and the customer journey in this era of increasingly complex customer behavior. To achieve this goal, they examine existing definitions and conceptualizations of customer experience as a construct and provide a historical perspective of the roots of customer experience within marketing. Next, they attempt to bring together what is currently known about customer experience, customer journeys, and customer experience management. Finally, they identify critical areas for future research on this important topic.
2,514 citations
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TL;DR: In this article, the authors discuss instrumental variables (IV) estimation in the broader con- text of the generalized method of moments (GMM), and describe an extended IV estimation routine that provides GMM estimates as well as additional diagnostic tests.
Abstract: We discuss instrumental variables (IV) estimation in the broader con- text of the generalized method of moments (GMM), and describe an extended IV estimation routine that provides GMM estimates as well as additional diagnostic tests. Stand{alone test procedures for heteroskedasticity, overidentication, and endogeneity in the IV context are also described.
2,444 citations
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TL;DR: In this paper, the authors examine tests for cointegration which allow for the possibility of regime shifts and propose ADF, Z α, Z t and Z t-type tests designed to test the null of no co-integration against the alternative of cointegrations in the presence of a possible regime shift, where the intercept and/or slope coefficients have a single break of unknown timing.
2,438 citations
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TL;DR: This paper developed a general equilibrium model with sticky prices, credit constraints, nominal loans and asset prices, and found that monetary policy should not target asset prices as a means of reducing output and inflation volatility.
Abstract: I develop a general equilibrium model with sticky prices, credit constraints, nominal loans and asset prices. Changes in asset prices modify agents’ borrowing capacity through collateral value; changes in nominal prices affect real repayments through debt deflation. Monetary policy shocks move asset and nominal prices in the same direction, and are amplified and propagated over time. The “financial accelerator” is not constant across shocks: nominal debt stabilises supply shocks, making the economy less volatile when the central bank controls the interest rate. I discuss the role of equity, debt indexation and household and firm leverage in the propagation mechanism. Finally, I find that monetary policy should not target asset prices as a means of reducing output and inflation volatility.
2,382 citations
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TL;DR: In this paper, the authors developed some econometric theory for factor models of large dimensions and proposed some panel C(p) criteria and showed that the number of factors can be consistently estimated using the criteria.
Abstract: In this paper we develop some econometric theory for factor models of large dimensions The focus is the determination of the number of factors, which is an unresolved issue in the rapidly growing literature on multifactor models We propose some panel C(p) criteria and show that the number of factors can be consistently estimated using the criteria The theory is developed under the framework of large cross-sections (N) and large time dimensions (T) No restriction is imposed on the relation between N and T Simulations show that the proposed criteria yield almost precise estimates of the number of factors for configurations of the panel data encountered in practice
2,350 citations
Authors
Showing all 9922 results
Name | H-index | Papers | Citations |
---|---|---|---|
Eric J. Topol | 193 | 1373 | 151025 |
Gang Chen | 167 | 3372 | 149819 |
Wei Li | 158 | 1855 | 124748 |
Daniel L. Schacter | 149 | 592 | 90148 |
Asli Demirguc-Kunt | 137 | 429 | 78166 |
Stephen G. Ellis | 127 | 655 | 65073 |
James A. Russell | 124 | 1024 | 87929 |
Zhifeng Ren | 122 | 695 | 71212 |
Jeffrey J. Popma | 121 | 702 | 72455 |
Mike Clarke | 113 | 1037 | 164328 |
Kendall N. Houk | 112 | 997 | 54877 |
James M. Poterba | 107 | 487 | 44868 |
Gregory C. Fu | 106 | 381 | 32248 |
Myles Brown | 105 | 348 | 52423 |
Richard R. Schrock | 103 | 724 | 43919 |