86 research outputs found

    Understanding Interactions in Social Networks and Committees

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    While much of the literature on cross section dependence has fo?cused mainly on estimation of the regression coefficients in the under?lying model, estimation and inferences on the magnitude and strength of spill-overs and interactions has been largely ignored. At the same time, such inferences are important in many applications, not least because they have structural interpretations and provide useful inter?pretation and structural explanation for the strength of any interac?tions. In this paper we propose GMM methods designed to uncover underlying (hidden) interactions in social networks and committees. Special attention is paid to the interval censored regression model. Our methods are applied to a study of committee decision making within the Bank of England¡¯s monetary policy committee.Committee Decision Making, Social Networks, Cross Section and Spatial Interaction, Generalised Method of Moments, Censored Regression Model, Expectation-Maximisation Algorithm, Monetary Policy, Interest Rates.

    Prospective trends in design and operations of chemical processes: Heuristics, intensification, and digitization

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    Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Complex Fluid Processin

    THE MYTH OF FOREIGN DIRECT INVESTMENT ON PRODUCTIVITY: FIRM-LEVEL EVIDENCE FROM CHINA, 2000--2013

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    46 pagesTo examine the effect of Foreign Direct Investment on domestics firms' productivity, The thesis is constructed by two chapters: in the first chapter, the author examines whether firms' productivity is the determinant that attracts the foreign capital. The result shows that FDI's positive effects on TFP may simply reflect the endogeneity that the FDI invests in more productive firms. Firms with a mature export network. Based on the conclusion in the first chapter, the author estimates the pure FDI effects on firms' productivity with a multi- periods DID method. By comparing the originally domestically-invested, then Foreign- or Hong Kong, Macao, Taiwan- invested enterprises with consistently domestically-invested enterprises, the result shows that state- invested firms' productivity benefit more from FDI, particularly, the foreign investment. FDI positive effects for global integration and increases liquidity for private-invested firms

    Water supply development amidst growing scarcity: a case study of the Monterey Peninsula Water Supply Project

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    This thesis explores existing water conditions in California and, using economic valuation and policy analysis tools, examines whether desalination is a reasonable solution to growing water scarcity across the state. The author begins with an analysis of historical water development and the current structure of water law in California, which forms the foundation of the state’s ongoing water crises. In recent years, as easily accessible water supplies dried up and demand for water continued to surge, water conditions across the state became more contentious and water supply development became more important. The bulk of this thesis uses a case study, the Monterey Peninsula Water Supply Project, to analyze existing water policy and desalination as a solution to the service area’s growing water needs. Comparing farmers’ willingness to pay with the costs of water production in the Water Supply Project, this paper suggest that courts and the State Water Resources Control Board should re-evaluate and re-allocate existing water rights rather than facilitate investment in costly new water projects.Item withdrawn by Laura Spradlin ([email protected]) on 2014-12-05T14:17:10Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 2 Chintamaneni_Vaneeta.docx: 1433928 bytes, checksum: dcd3e15aa478ea0bc4e855870ebeeebe (MD5) Chintamaneni_Vaneeta.pdf: 1018845 bytes, checksum: 25bdd86ed481e83c3ee021ddb3b3a8d0 (MD5)Made available in DSpace on 2015-01-21T19:48:17Z (GMT). No. of bitstreams: 2 Vaneeta_Chintamaneni.pdf: 1019283 bytes, checksum: 850f6f0bc2f3791f844e2c9ac3afa6f4 (MD5) Chintamaneni_Vaneeta.docx: 1434102 bytes, checksum: f31c25b87e71ecae623d2d1d730e167f (MD5

    Advisory System for MDO Architecture Selection in the MDO System Formulation Stage

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    One of the challenges in executing an MDO system is the selection of the best performing MDO architecture in terms of computational effort for a given MDO problem. To address this, several comparative studies have been created, which analyze the relative performance of MDO architectures with respect to internal features of MDO problems, such as the number of design variables and nature of interdisciplinary coupling. However, the existing research is limited in applicability. An inclusive prediction model, that can recommend the best MDO architecture for any MDO problem is not found yet in literature. In this thesis, the intention is to conduct a thorough comparison of two commonly used MDO architectures with respect to a database of sequentially generated MDO problems, having a range of internal features. Following this, a prediction model of MDO architecture is to be developed by applying a suitable machine learning algorithm on the generated database.Aerospace Engineerin
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