Receipt from Rolph Smith Lithographers by Steam Power and Co. of Toronto

Receipt from Rolph Smith Lithographers by Steam Power and Co. of Toronto for a name plate, Aug. 23, 1886.

Flyer about the Dominion Power and Transmission Company bonds from R.W. Harris and Co. Bankers

Flyer (2 double sided pages, printed) about the Dominion Power and Transmission Company bonds from R.W. Harris and Co. Bankers, New York, n.d.

Ontario Hydro map of the St. Lawrence Power Project General Plan

Ontario Hydro map of the St. Lawrence Power Project General Plan, n.d.

Insurance Policy from the Quebec Fire Assurance Company to Mr. Joseph Power Bradley

Insurance Policy from the Quebec Fire Assurance Company to Mr. Joseph Power Bradley for his household furniture, linen wearing apparels, glass, earthenware and printed books in a house occupied as a dwelling and belonging to Joseph Legare Junt in the town of Quebec, Oct. 10, 1830

Muster roll (1 page, handwritten) of the Royal Quebec Volunteers of Company no. 3 with Captain W. Power

Muster roll (1 page, handwritten) of the Royal Quebec Volunteers of Company no. 3 with Captain W. Power, Lieutenant J.P. Bradley and Ensign C. Allegn, n.d.

Reservoirs for irrigation, water-power and domestic water- supply ; with an account of various types of dams and the...

UANL

The empire of Austria : its rise and present power

UANL

The Seemingly Unrelated Dynamic Cointegration Regression Model and Testing for Purching Power Parity.

This paper studies seemingly unrelated linear models with integrated regressors and stationary errors. By adding leads and lags of the first differences of the regressors and estimating this augmented dynamic regression model by feasible generalized least squares using the long-run covariance matrix, we obtain an efficient estimator of the cointegrating vector that has a limiting mixed normal distribution. Simulation results suggest that this new estimator compares favorably with others already proposed in the literature. We apply these new estimators to the testing of purchasing power parity (PPP) among the G-7 countries. The test based on the efficient estimates rejects the PPP hypothesis for most countries.

Simulation-Based Finite-Sample Tests for Heteroskedasticity and ARCH Effects.

A wide range of tests for heteroskedasticity have been proposed in the econometric and statistics literature. Although a few exact homoskedasticity tests are available, the commonly employed procedures are quite generally based on asymptotic approximations which may not provide good size control in finite samples. There has been a number of recent studies that seek to improve the reliability of common heteroskedasticity tests using Edgeworth, Bartlett, jackknife and bootstrap methods. Yet the latter remain approximate. In this paper, we describe a solution to the problem of controlling the size of homoskedasticity tests in linear regression contexts. We study procedures based on the standard test statistics [e.g., the Goldfeld-Quandt, Glejser, Bartlett, Cochran, Hartley, Breusch-Pagan-Godfrey, White and Szroeter criteria] as well as tests for autoregressive conditional heteroskedasticity (ARCH-type models). We also suggest several extensions of the existing procedures (sup-type of combined test statistics) to allow for unknown breakpoints in the error variance. We exploit the technique of Monte Carlo tests to obtain provably exact p-values, for both the standard and the new tests suggested. We show that the MC test procedure conveniently solves the intractable null distribution problem, in particular those raised by the sup-type and combined test statistics as well as (when relevant) unidentified nuisance parameter problems under the null hypothesis. The method proposed works in exactly the same way with both Gaussian and non-Gaussian disturbance distributions [such as heavy-tailed or stable distributions]. The performance of the procedures is examined by simulation. The Monte Carlo experiments conducted focus on : (1) ARCH, GARCH, and ARCH-in-mean alternatives; (2) the case where the variance increases monotonically with : (i) one exogenous variable, and (ii) the mean of the dependent variable; (3) grouped heteroskedasticity; (4) breaks in variance at unknown points. We find that the proposed tests achieve perfect size control and have good power.

Finite-Sample Inference Methods for Simultaneous Equations and Models with Unobserved and Generated Regressors

We propose finite sample tests and confidence sets for models with unobserved and generated regressors as well as various models estimated by instrumental variables methods. The validity of the procedures is unaffected by the presence of identification problems or \"weak instruments\", so no detection of such problems is required. We study two distinct approaches for various models considered by Pagan (1984). The first one is an instrument substitution method which generalizes an approach proposed by Anderson and Rubin (1949) and Fuller (1987) for different (although related) problems, while the second one is based on splitting the sample. The instrument substitution method uses the instruments directly, instead of generated regressors, in order to test hypotheses about the \"structural parameters\" of interest and build confidence sets. The second approach relies on \"generated regressors\", which allows a gain in degrees of freedom, and a sample split technique. For inference about general possibly nonlinear transformations of model parameters, projection techniques are proposed. A distributional theory is obtained under the assumptions of Gaussian errors and strictly exogenous regressors. We show that the various tests and confidence sets proposed are (locally) \"asymptotically valid\" under much weaker assumptions. The properties of the tests proposed are examined in simulation experiments. In general, they outperform the usual asymptotic inference methods in terms of both reliability and power. Finally, the techniques suggested are applied to a model of Tobin’s q and to a model of academic performance.

Testing Mean-Variance Efficiency in CAPM with Possibly Non-Gaussian Errors : An Exact Simulation-Based Approach

In this paper we propose exact likelihood-based mean-variance efficiency tests of the market portfolio in the context of Capital Asset Pricing Model (CAPM), allowing for a wide class of error distributions which include normality as a special case. These tests are developed in the frame-work of multivariate linear regressions (MLR). It is well known however that despite their simple statistical structure, standard asymptotically justified MLR-based tests are unreliable. In financial econometrics, exact tests have been proposed for a few specific hypotheses [Jobson and Korkie (Journal of Financial Economics, 1982), MacKinlay (Journal of Financial Economics, 1987), Gib-bons, Ross and Shanken (Econometrica, 1989), Zhou (Journal of Finance 1993)], most of which depend on normality. For the gaussian model, our tests correspond to Gibbons, Ross and Shanken’s mean-variance efficiency tests. In non-gaussian contexts, we reconsider mean-variance efficiency tests allowing for multivariate Student-t and gaussian mixture errors. Our framework allows to cast more evidence on whether the normality assumption is too restrictive when testing the CAPM. We also propose exact multivariate diagnostic checks (including tests for multivariate GARCH and mul-tivariate generalization of the well known variance ratio tests) and goodness of fit tests as well as a set estimate for the intervening nuisance parameters. Our results [over five-year subperiods] show the following: (i) multivariate normality is rejected in most subperiods, (ii) residual checks reveal no significant departures from the multivariate i.i.d. assumption, and (iii) mean-variance efficiency tests of the market portfolio is not rejected as frequently once it is allowed for the possibility of non-normal errors.

Testing for a Unit Root in Panels with Dynamic Factors

This paper studies testing for a unit root for large n and T panels in which the cross-sectional units are correlated. To model this cross-sectional correlation, we assume that the data is generated by an unknown number of unobservable common factors. We propose unit root tests in this environment and derive their (Gaussian) asymptotic distribution under the null hypothesis of a unit root and local alternatives. We show that these tests have significant asymptotic power when the model has no incidental trends. However, when there are incidental trends in the model and it is necessary to remove heterogeneous deterministic components, we show that these tests have no power against the same local alternatives. Through Monte Carlo simulations, we provide evidence on the finite sample properties of these new tests.

The Social Power of Bodin's 'Sovereignty' and International Law

The word ‘sovereignty’ provides a forceful example of the social power of language as an organic instrument playing a leading role in the continuous and continuing process of creating and transforming human reality. The paper examines a pivotal episode in the history of the word ‘sovereignty’ — its formal introduction in the 16th century by Jean Bodin in his Six Livres de la Republique. It focuses on the social effects ‘sovereignty’ has had on the shared consciousness of humanity, including that of the international community. The proposed metalogical inquiry adopts a method that draws from the hermeneutic school of historical knowledge. The argument is that Bodin used ‘sovereignty’ for the purpose of attributing to the ruler (the French king) supreme power in the hierarchical organisational structure of society. This idea of a pyramid of authority is found in different elements of the discourse in Six Livres de la Republique, which is examined in the immediate context of Bodin’s personal background as well as the extended social, political and intellectual context of 16th century France. The conclusion shows that Bodin’s work was the first seminal step in the development of contemporary ideas of ‘internal sovereignty’ and ‘external sovereignty’. It is thus part of the history of the true power that the word at hand has exercised in framing the international state system and hence the international legal system.

Arbitration and Judicial Power under the united States Constitution

Échange, dans le cadre des matinées constitutionnelles organisées par le CRDP, entre Peter Bowman Rutledge, Professeur agrégé à la Faculté de droit de la Catholic Universiy of America et Roderick MacDonald, titulaire de la Chaire F.R. Scott en droit public et constitutionnel à la Faculté de droit de l'Université de McGill. M. MacDonald est également, chercheur associé au CRDP.

The Power and Promise of Developmental Systems Theory

I argue that it is time for many feminists to rethink their attitudes towards evolutionary biology, not because feminists have been wrong to be deeply sceptical about many of its claims, both explicit and implicit, but because biology itself has changed. A new appreciation for the importance of development in biology has become mainstream and a new ontology, associated with developmental systems theory (DST), has been introduced over the last two decades. This turn challenges some of the features of evolutionary biology that have most troubled feminists. DST undermines the idea of biologicales sence and challenges both nature /nurture and nature/culture distinctions. Freed from these conceptual constraints, evolutionary biology no longer poses the problems that have justified feminist scepticism. Indeed, feminists have already found useful applications for DST and I argue that they should expand their use of DST to support more radical and wide-ranging political theories.