Suchergebnisse

There is empirical evidence that investors' confidence is not only adversely affected by corruption but also by the lack of predictability and confidence that accompanies corrupt deals. However, the positive aspect of this lack of confidence is that it acts as a deterrent to corruption. Empirical data provided here on a cross–section of countries proves that confidence in corrupt deals enhances the further spread of corruption. This suggests that the adverse effects of corruption cannot be avoided by divesting it of its unpredictability.

This dissertation consists of three essays on empirical banking. They study how do information and political activeness affect banks' lending behavior, as well as the effect of lending relationship with banks on firms' stock performance during interbank liquidity crunch. The first essay looks at a type of mortgage application in which applicants reject loan offers from banks and explores which type of applicants reject banks more and which type of banks are more likely to be rejected by applicants. We find that local banks with information advantage are more likely to be rejected by risky applicants and less likely to be rejected by creditworthy applicants. Chapter 3 studies how are firms' stock performances affected by their lending relationships with banks that suffer liquidity crisis, using an event study of the interbank liquidity crunch in June 2013 in China. We find that firms that have lending relationships with banks outperform others in the stock market. Chapter 4 provides supporting evidence for the positive relationship between banks' political activeness and their involvements in lending to disaster counties.

Using panel data for 78 countries of origin we examine the impact of student flows to the United States on subsequent migration there over the period 1971-2001. What we find is that the stock of foreign students is an important predictor of subsequent migration. This holds true whether or not the lagged endogenous variable is included. The relationship is robust to the inclusion of time and country dummies, and remains when we account for outliers. The basic results also hold for a cross section of 36 countries of origin and 9 host countries. Our results have important policy implications which we discuss in the last section.

The empirical–normative distinction is taken by many political scientists to be exclusive and fundamental. Yet if the distinction is deep and exclusive then any theory, or any of its components, must be either empirical or normative but not simultaneously both. If this is the case then each theoretical statement will have as its central verb either an 'is' or an 'ought' (or some equivalent) and no statement taking an 'ought' as its central verb will be derivable from any statement taking an 'is' as its central verb. Correlatively no purely descriptive statement or conjunction of such statements will warrant any normative or evaluative conclusion.

Psychiatry presents an array of ethical questions. A major challenge is to approach psychiatry in a way that does justice to the real ethical issues. This book shows how ethics can engage more closely with the reality of psychiatric practice and how empirical methodologies from the social sciences can help foster this link.

An empirical generalisation is a relationship between two or more variables that has been observed across a range of conditions. By knowing that an observed relationship holds under a range of conditions (and that it does not hold under other conditions) it is possible to use knowledge of the relationship for practical purposes, such as making routine predictions and stating principles. It is also possible to start to theorise why the relationship occurs, and why it holds under some conditions and not others, thereby moving from empirical description to theory-building. The importance of this form of knowledge for marketing is examined. Practical measures are suggested to encourage the search for empirical generalisations.

During the last decade, international trade has witnessed a dramatic transition from a field dominated by theory to one dominated by empirics linked to theory. In this volume, Professor Bernhofen has selected an impressive range of critical papers by leading academics which have contributed significantly to making international trade an empirical science. The included topics are empirical studies on comparative advantage, the Heckscher-Ohlin model, monopolistic competition, gravity models, firms and plant trade and networks and institutions. The papers in this collection serve as an excellent introduction to the literature as well as an essential reference for research in empirical trade

The rapid advances in financial technology in the past decade have led to a commensurate increase in sophistication for modelling techniques needed by the researchers for the understanding of financial markets. The book aims at equipping graduate students, market analysts and others with a wide range of empirical techniques. It not only discusses the analytical structures behind such modelling approaches, but also explains how they are applied to actual data.Besides traditional elements of financial econometrics and statistical techniques commonly used in quantitative finance, the book covers: estimation of parametric and non-parametric models; advanced tools to deal with unobserved components; discrete time models of asset prices and of interest rates. Illustrations include speculative equity prices, equity and currency risk premium as well as real investment opportunity analysis and interest rate contingent claim valuation.

Recommended readings (Machine generated): 1. Richard Auster, Irving Leveson and Deborah Sarachek (1969), 'The Production of Health, an Exploratory Study', Journal of Human Resources, 4 (4), Autumn, 411-36 -- 2. Mark R. Rosenzweig and T. Paul Schultz (1983), 'Estimating a Household Production Function: Heterogenity, the Demand for Health Inputs, and Their Effects on Birth Weight', Journal of Political Economy, 91 (5), October, 723-46 -- 3. Gary S. Becker, Michael Grossman and Kevin M. Murphy (1994), 'An Empirical Analysis of Cigarette Addiction', American Economic Review, 84 (3), June, 396-418 -- 4. Donna B. Gilleskie (1998), 'A Dynamic Stochastic Model of Medical Care Use and Work Absence', Econometrica, 66 (1), January, 1-45 -- 5. Marcos Vera-Hernández (2003),'Structural Estimation of a Principal Agent Model: Moral Hazard in Medical Insurance', RAND Journal of Economics, 34 (4), Winter, 670-93 -- 6. Peter Arcidiacono, Holger Sieg and Frank Sloan (2007), 'Living Rationally Under the Volcano? An Empirical Analysis of Heavy Drinking and Smoking', International Economic Review, 48 (1), February, 37-65 -- 7. Naihua N. Duan, Willard G. Manning, Jr., Carl N. Morris and Joseph P. Newhouse (1983), 'A Comparison of Alternative Models for the Demand for Medical Care', Journal of Business and Economic Statistics, 1 (2), April, 115-26 -- 8. Williard G. Manning (1998),'The Logged Dependent Variable, Heteroscedasticity, and the Retransformation Problem', Journal of Health Economics, 17 (3), June, 283-95 -- 9. David K. Blough, Carolyn W. Madden, and Mark C. Hornbrook (1999), 'Modeling Risk Using Generalized Linear Models', Journal of Health Economics, 18 (2), April, 153-71 -- 10. Donna B. Gilleskie and Thomas A. Mroz (2004), 'A Flexible Approach for Estimating the Effects of Covariates on Health Expenditures', Journal of Health Economics, 23 (3), March, 391-418 -- 11. Anirban Basu and Paul J. Rathouz (2005),'Estimating Marginal and Incremental Effects on Health Outcomes Using Flexible Link and Variance Function Models', Biostatistics, 6 (1), January, 93-109 -- 12. Willard G. Manning, Anirban Basu and John Mullahy (2005), 'Generalized Modelling Approaches to Risk Adjustment of Skewed Outcomes Data' Journal of Health Economics, 24 (3), May, 465-88 -- 13. Andrew M. Jones, James Lomas and Nigel Rice (2015),' Healthcare Cost Regressions: Going Beyond the Mean to Estimate the Full Distribution', Health Economics, 24 (9), April, 1192-212 -- 14. John Mullahy (1986),'Specification and Testing of Some Modified Count Data Models', Journal of Econometrics, 33 (3), December, 341-65 -- 15. Bryan Dowd, Roger Feldman, Steven Cassou and Michael Finch (1991), 'Health Plan Choice and the Utilization of Health Care Services', Review of Economics and Statistics, 73 (1), February, 85-93 -- 16. Marcel Kerkhofs and Maarten Lindeboom (1995), 'Subjective Health Measures and State Dependent Reporting Errors', Health Economics, 4 (3), May-June, 221-35 -- 17. Winfried Pohlmeier and Volker Ulrich (1995), 'An Econometric Model of the Two-Part Decisonmaking Process in the Demand for Health Care', Journal of Human Resources, 30 (2), Spring, 339-61 -- 18. Partha Deb and Pravin K. Trivedi (1997),'Demand for Medical Care by the Elderly: A Finite Mixture Approach', Journal of Applied Econometrics, 12 (3), May/ June, 313-36 -- 19. David M. Zimmer and Pravin K. Trivedi (2006), 'Using Trivariate Copulas to Model Sample Selection and Treatment Effects: Application to Family Health Care Demand', Journal of Business and Economics Statistics, 24 (1), January, 63-76