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'If You Knew the Conditions' examines the inadequacies of the healthcare provided to American Indians by the Indian Medical Service. DeJong argues that, while Congress and the Indian Service had a responsibility to provide meaningful and relevant medical services to American Indians, parsimonious appropriations and indifference to American Indian conceptions of well-being limited the effectiveness of Indian medical services.

The revised edition of the essential resource on macroeconometricsStructural Macroeconometrics provides a thorough overview and in-depth exploration of methodologies, models, and techniques used to analyze forces shaping national economies. In this thoroughly revised second edition, David DeJong and Chetan Dave emphasize time series econometrics and unite theoretical and empirical research, while taking into account important new advances in the field.The authors detail strategies for solving dynamic structural models and present the full range of methods for characterizing and evaluating empirical implications, including calibration exercises, method-of-moment procedures, and likelihood-based procedures, both classical and Bayesian. The authors look at recent strides that have been made to enhance numerical efficiency, consider the expanded applicability of dynamic factor models, and examine the use of alternative assumptions involving learning and rational inattention on the part of decision makers. The treatment of methodologies for obtaining nonlinear model representations has been expanded, and linear and nonlinear model representations are integrated throughout the text. The book offers a rich array of implementation algorithms, sample empirical applications, and supporting computer code.Structural Macroeconometrics is the ideal textbook for graduate students seeking an introduction to macroeconomics and econometrics, and for advanced students pursuing applied research in macroeconomics. The book's historical perspective, along with its broad presentation of alternative methodologies, makes it an indispensable resource for academics and professionals

We use a statistical model of commodity trade to measure the extent of integration between regional commodity markets within Russia. Monthly time‐series data on regional commodity prices spanning 1994 through 1999 indicate substantial fluctuations in integration over this period: an initial period of widespread integration gradually gave way to a period of disconnectedness in 1995 through 1997, which seems to have subsided by mid‐1998. These fluctuations exhibit strong statistical relationships with a host of aggregate variables; most notably, internal integration exhibits a strong negative relationship with international trade.