12,703 research outputs found

    COINTEGRATION, ERROR CORRECTION, AND THE MEASUREMENT OF OLIGOPSONY CONDUCT IN THE U.S. CATTLE MARKET

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    US cattle producers often claim that cattle prices are below competitive levels. In this paper, short-run and long-run oligopsony conduct is estimated by utilizing an oligopsony dynamic model. Results of time-series analysis indicate that the hypothesis of competitive conduct in the short-run and in the long-run cannot be rejected.Demand and Price Analysis,

    Improving likelihood-based inference in control rate regression

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    Control rate regression is a diffuse approach to account for heterogeneity among studies in meta-analysis by including information about the outcome risk of patients in the control condition. Correcting for the presence of measurement error affecting risk information in the treated and in the control group has been recognized as a necessary step to derive reliable inferential conclusions. Within this framework, the paper considers the problem of small sample size as an additional source of misleading inference about the slope of the control rate regression. Likelihood procedures relying on first-order approximations are shown to be substantially inaccurate, especially when dealing with increasing heterogeneity and correlated measurement errors. We suggest to address the problem by relying on higher-order asymptotics. In particular, we derive Skovgaard's statistic as an instrument to improve the accuracy of the approximation of the signed profile log-likelihood ratio statistic to the standard normal distribution. The proposal is shown to provide much more accurate results than standard likelihood solutions, with no appreciable computational effort. The advantages of Skovgaard's statistic in control rate regression are shown in a series of simulation experiments and illustrated in a real data example. R code for applying first- and second-order statistic for inference on the slope on the control rate regression is provided

    School accountability : (how) can we reward schools and avoid cream-skimming

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    Introducing school accountability may create incentives for efficiency. However, if the performance measure used does not correct for pupil characteristics, it will lead to an inequitable treatment of schools and create perverse incentives for cream-skimming. We apply the theory of fair allocation to show how to integrate empirical information about the educational production function in a coherent theoretical framework. The requirements of rewarding performance and correcting for pupil characteristics are incompatible if we want the funding scheme to be applicable for all educational production functions. However, we characterize an attractive subsidy scheme under specific restrictions on the educational production function. This subsidy scheme uses only information which can be controlled easily by the regulator. We show with Flemish data how the proposed funding scheme can be implemented. Correcting for pupil characteristics has a strong impact on the subsidies (and on the underlying performance ranking) of schools

    Does the interest differential explain future exchange rate return? a re-examination of the UIP hypothesis for the Turkish economy

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    Akyuz, Y. and Boratav, K. (2003). The making of the Turkish financial crisis, World Development, 31/9, 1549-1566. Alper, C.E. (2001). The Turkish liquidity crisis of 2000: What went wrong, Russian and East European Finance and Trade, 37/6, 51-71. Aslan, O. and Korap L. (2007). Structural VAR identification of the Turkish business cycles, International Research Journal of Finance and Economics, 9, 72-86. Baillie, R.T. and Bollerslev, T. (2000). The forward premium anomaly is not as bad as you think, Journal of International Money and Finance, 19, 471-488. Beyaert, A., García-Solanes, J., and Pérez-Castejón, J.J. (2007). Uncovered interest parity with switching regimes, Economic Modelling, 24, 189-202. Bhatti, R.H. and Moosa, I.A. (1995). An alternative approach to testing uncovered interest parity, Applied Economics Letters, 2, 478-481. Chinn, M.D. and Meredith, G. (2004). Monetary policy and long-horizon uncovered interest parity, IMF Staff Papers, 51/3, 409-430. DeJong, D. N., Nankervis, J. C., Savin, N. E. and Whiteman, C. H. (1989). Integration versus trend-stationarity in macroeconomic time-series, University of Iowa Working Paper Series, No. 89/31, December. Dickey, D. A., Jansen, D. W. and Thornton, D. L. (1991). A primer on cointegration with an application to money and income, The Federal Reserve Bank of St. Louis Review, March/April, 58-78. Dornbusch, R. (2001). A primer on emerging market crises, NBER Working Paper, 8326, June. Dulger, F. and Cin, M.F. (2002). Monetary approach to determining exchange rate dynamics in Turkey and a test for co-integration (in Turkish), METU Studies in Development, 29/1-2, 47-68. Eichengreen, B. (2001). Crisis preventation and management: Any new lessons from Argentina and Turkey?, Background Paper Written for the World Bank’s Global Development Finance 2002, University of California, Berkeley. Ekinci, N.K. and Erturk, K.A. (2007). Turkish currency crisis of 2000-2001, revisited, International Review of Applied Economics, 21/1, January, 29-41. Engle, R. F. and Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing, Econometrica, 55, 251-276. Ertugrul, A. and Yeldan, E. (2002). On the structural weakness of the post-1999 Turkish disinflation program, Turkish Studies Quarterly, 4/2, 53-67. Flood, R.P. and Rose, A.K. (2002). Uncovered interest parity in crisis, IMF Staff Papers, 49/2, 252-266. Granger, C. W. J. (1986). Developments in the study of cointegrated economic variables, Oxford Bulletin of Economics and Statistics, 48/3, 213-228. Granger, C.W.J. and Newbold, P. (1974). Spurious regressions in economics, Journal of Econometrics, 2/2, 111-120. Huisman, R., Koedijk, K., Kool, C., and Nissen, F. (1998). Extreme support for uncovered interest parity, Journal of International Money and Finance, 17, 211-228. Isard, P. (2006). Uncovered interest parity, IMF Working Paper, WP/06/96. Johansen, S. (1988). Statistical analysis of cointegration vectors, Journal of Economic Dynamics and Control, 12, 231-254. Johansen, S. and Juselius, K. (1990). Maximum likelihood estimation and inference on cointegration-with applications to the demand for money, Oxford Bulletin of Economics and Statistics, 52, 169-210. Kesriyeli, M. (1994). Policy regime changes and testing for the Fisher and UIP hypothesis: The Turkish experience, CBRT Research Department Discussion Paper, No. 9411, December. Kwiatkowski, D., Phillips, P.C.B., Schmidt, P. and Shin, Y. (1992). Testing the null hypothesis of stationary against the alternative of a unit root, Journal of Econometrics, 54, 159-178. Leigh, D. and Rossi, M. (2002). Exchange rate pass-through in Turkey, IMF Working Paper, WP/02/2004. MacKinnon, J.G. (1996). Numerical distribution functions for unit root and cointegration tests, Journal of Applied Econometrics, 11, 601-618. McCallum, B. T. (1994). A reconsideration of the uncovered interest parity relationship, Journal of Monetary Economics, 33, 105-132. Phillips, P. (1986). Understanding spurious regressions in econometrics, Journal of Econometrics, 33, 311-40. Sachsida, A., Ellery Jr., R. and Teixeira, J.R. (2001). Uncovered interest parity and the peso problem: The Brazilian case, Applied Economics Letters, 8, 179-181. Sul, D. (1999). Does ex-post uncovered interest differential reflect the degrees of capital mobility?, Applied Economics Letters, 6, 97-102. Uygur, E. (2001). From crisis to crisis in Turkey: 2000 November and 2001 February crises (in Turkish), Turkish Economic Association Discussion Paper, 2001/1.Exchange rates ; Interest differentials ; Uncovered interest parity ; Turkish economy ;

    Quality criteria for multimedia

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    The meaning of the term quality as used by multimedia workers in the field has become devalued. Almost every package is promoted by its developers as being of the ‘highest quality’. This paper draws on practical experience from a number of major projects to argue, from a quality‐assurance position, that multimedia materials should meet pre‐defined criteria relating to their objectives, content and incidence of errors
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