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1

Luzadis, Rebecca A. Explaining pension dynamics. Cambridge, MA: National Bureau of Economic Research, 1989.

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2

United States. Bureau of the Census and Survey of Income and Program Participation (Program), eds. Dynamics of economic well-being. Washington, DC: U.S. Dept. of Commerce, Economics and Statistics Administration, Bureau of the Census, 1995.

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3

Canada. Human Resources Development Canada. Applied Research Branch., ed. Low income (poverty) dynamics in Canada: Entry, exit, spell durations, and total time. Hull, Quebec: Applied Research Branch, Strategic Policy, Human Resources Development Canada, 2000.

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4

Gilleskie, Donna B. The behavioral dynamics of youth smoking. Cambridge, MA: National Bureau of Economic Research, 2000.

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5

Kryger, Tony. The Australian Longitudinal Survey, 1985 to 1988: Dynamics of the youth labour market. Canberra: Australian Govt. Pub. Service, 1990.

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6

Delelegn, Andinet. Informal risk sharing strategies and poverty dynamics in rural Ethiopia: Longitudinal analysis. Addis Ababa: Ethiopian Economic Policy Research Institute, 2007.

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7

Bennefield, Robert L. Dynamics of economic well-being: Health insurance, 1990 to 1992. Washington, D.C: U.S. Dept. of Commerce, Economics and Statistics Administration, 1994.

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8

Parsons, Donald O. Poverty dynamics among mature women: Evidence from the National Longitudinal Surveys, 1967-1989. [Washington, D.C.?]: U.S. Dept. of Labor, Bureau of Labor Statistics, 1995.

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9

Parsons, Donald O. Poverty dynamics among mature women: Evidence from the National Longitudinal Surveys 1967-1989. Washington, D.C: U.S. Department of Labor, Bureau of Labor Statistics, 1995.

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10

Parsons, Donald O. Poverty dynamics among mature women: Evidence from the National Longitudinal Surveys, 1967-1989. [Washington, D.C.?]: U.S. Dept. of Labor, Bureau of Labor Statistics, 1995.

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11

Rodrigues, Suzana Braga. The political and institutional dynamics of culture change in organizations: A longitudinal analysis. Birmingham: Birmingham Business School, 2003.

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12

M, Chikamata Davy, RamaRao Saumya, Zambia Central Statistical Office, and Population Council, eds. Lusaka impact study: Changes in contraceptive use dynamics after the introduction of Norplant® : results of the baseline data and first follow-up. [Lusaka]: Central Statistical Office, 1999.

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13

N, Morgan James. Panel study of income dynamics, 1968-1987: Validation study. Ann Arbor, Mich: Inter-university Consortium for Political and Social Research, 1990.

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14

Michael, Baker. Earnings dynamics and inequality among Canadian men, 1976-1992: Evidence from longitudinal income tax records. Ottawa, Ont: Analytical Studies Branch, Statistics Canada, 1999.

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15

Baker, Michael. Earnings dynamics and inequality among Canadian men, 1976-1992: Evidence from longitudinal income tax records. Ottawa, Ont: Analytical Studies Branch, Statistics Canada, 1999.

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16

Canada. Statistics Canada. Analytical Studies Branch. Earnings dynamics and inequality among Canadian men, 1972-1992: Evidence from longitudinal income tax records. Ottawa: Statistics Canada, 1999.

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17

Michael, Baker. Earnings dynamics and inequality among Canadian men, 1976-1992: Evidence from longitudinal income tax records. Cambridge, MA: National Bureau of Economic Research, 1999.

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18

Bennefield, Robert L. Dynamics of economic well-being: Health insurance, 1993 to 1995 : who loses coverage and for how long? [Washington, DC: U.S. Dept. of Commerce, Economics and Statistics Administration, 1998.

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19

United States. Bureau of the Census, ed. Dynamics of economic well-being: Health insurance, 1992 to 1993 : who loses coverage and for how long? [Washington, DC: U.S. Dept. of Commerce, Economics and Statistics Administration, Bureau of the Census, 1996.

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20

Holden, Karen C. The dynamics of poverty among the elderly: Income transitions at older stages of life. [Madison]: University of Wisconsin-Madison, 1985.

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21

Schömann, Klaus. The dynamics of labor earnings over the life course: A comparative and longitudinal analysis of Germany and Poland. Berlin: Max-Planck-Institut für Bildungsforschung, 1994.

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22

R, Baldwin John. The dynamics of industrial competition: A North American perspective. Cambridge: Cambridge University Press, 1995.

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23

Kiessling, Anders. Growth dynamics of rainbow trout (Oncorhynchus mykiss) epaxial muscle: Effects of feed ration in relation to age. Uppsala, Sweden: Departments of Aquaculture & Animal Nutrition and Management, Swedish University of Agricultural Sciences, 1990.

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24

O'Driscoll, Aidan. A longitudinal study of the nature and dynamics of marketing-related competence in the context of a company in the irish building materials industry. [s.l: The Author], 2003.

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25

Coleman, Kevin A. Estimates of the income and wealth of the elderly using the panel study of income dynamics and the survey of consumer finances and their implications for long-term care. Fairfax, Va: Lewin Group, 1996.

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26

Sutradhar, Brajendra C. Dynamic mixed models for familial longitudinal data. New York: Springer, 2011.

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27

Sutradhar, Brajendra C. Dynamic Mixed Models for Familial Longitudinal Data. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-8342-8.

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28

Weisshuhn, Gernot. "Mobility patterns and income dynamics of employees in the Federal Republic of Germany from the beginning of 1974 until the beginning of 1980": An empirical study based on longitudinal sample of German employees. Berlin: Technische Universitat, 1985.

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29

Haltiwanger, John C. Wages, productivity, and the dynamic interaction of businesses and workers. Cambridge, MA: National Bureau of Economic Research, 2000.

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30

A dynamic cascade model of the development of substance-use onset. Boston, Mass: Wiley-Blackwell, 2009.

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31

Chakraborty, Bibhas. Statistical methods for dynamic treatment regimes: Reinforcement learning, causal inference, and personalized medicine. New York, NY: Springer, 2013.

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32

Kudinov, Igor', Anton Eremin, Konstantin Trubicyn, Vitaliy Zhukov, and Vasiliy Tkachev. Vibrations of solids, liquids and gases taking into account local disequilibrium. ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1859642.

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The monograph presents the results of the development and research of new mathematical models of the processes of vibrations of solids, liquids and gases, taking into account local disequilibrium. To derive differential equations, the Navier—Stokes equations, Newton's second law and modified formulas of the classical empirical laws of Fourier, Hooke, Newton are used, which take into account the velocities and accelerations of the driving forces (gradients of the corresponding quantities) and their consequences (heat flow, normal and tangential stresses). The conditions for the occurrence of shock waves of stresses and displacements in dynamic thermoelasticity problems formulated taking into account relaxation phenomena in thermal and thermoelastic problems are investigated, new results are obtained in the study of longitudinal and transverse vibrations of rods, strings, liquids and gases, and the conditions for the excitation of gas self-oscillations arising from a time-constant heat source are determined. It is intended for scientific and technical workers specializing in mathematics, thermophysics, thermoelasticity, as well as teachers and students of technical universities.
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33

K, Schmidt D., and Langley Research Center, eds. Analysis of flexible aircraft longitudinal dynamics and handling qualities. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1985.

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34

The dynamics of Medicaid enrollment. [Rockville, Md.?]: U.S. Dept. of Health and Human Services, Public Health Service, National Center for Health Services Research and Health Care Technology Assessment, 1988.

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35

New Zealand. Statistics New Zealand., ed. A longitudinal survey of income, employment and family dynamics: Feasibility project final report. Wellington, N.Z: Statistics New Zealand, 2001.

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36

H, Elder Glen, and Social Science Research Council (U.S.), eds. Life course dynamics: Trajectories and transitions, 1968-1980. Ithaca: Cornell University Press, 1985.

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37

High-Tech Start-Ups and Industry Dynamics in Silicon Valley. Public Policy Institute of California, 2003.

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38

Life Course Dynamics: Trajectories and Transitions. Cornell University Press, 1985.

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39

Baulch, Bob. Economic Mobility and Poverty Dynamics in Developing Countries. Routledge, 2000.

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40

Economic Mobility and Poverty Dynamics in Developing Countries. Routledge, 2000.

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41

Sanjay, Garg, and United States. National Aeronautics and Space Administration., eds. Stable H(infinity) controller design for the longitudinal dynamics of an aircraft. [Washington, DC]: National Aeronautics and Space Administration, 1995.

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42

H, Cox Timothy, and NASA Dryden Flight Research Center., eds. A flying qualities study of longitudinal long-term dynamics of hypersonic planes. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1995.

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43

Director Interlocking & Firm Management: Longitudinal Studies of 1- & 3- Mode Network Dynamics. Stockholm Universitet, 2010.

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44

National Aeronautics and Space Administration (NASA) Staff. Stable H(infinity) Controller Design for the Longitudinal Dynamics of an Aircraft. Independently Published, 2018.

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45

Jr, Glen H. Elder. Life Course Dynamics: Trajectories and Transitions, 1968-1980. Cornell Univ Pr, 1985.

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46

Baseline Computational Fluid Dynamics Methodology for Longitudinal-Mode Liquid-Propellant Rocket Combustion Instability. Independently Published, 2020.

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47

G, Samavedam, United States. Federal Railroad Administration. Office of Research and Development., John A. Volpe National Transportation Systems Center (U.S.), and Foster-Miller, eds. Investigation on CWR longitudinal restraint behavior in winter rail break and summer destressing operations. Washington, D.C: U.S. Dept. of Transportation, Federal Railroad Administration, Office of Research and Development, 1997.

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48

The Effects of Elevator Rate Limiting and Stick Dynamics on Longitudinal Pilot-Induced Oscillations. Storming Media, 1997.

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49

C, Myers George, ed. Asset and health dynamics among the oldest old (AHEAD): Initial results from the longitudinal study. Danvers, MA: Gerontological Society of America, 1997.

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50

Snijders, Tom A. B., and Mark Pickup. Stochastic Actor Oriented Models for Network Dynamics. Edited by Jennifer Nicoll Victor, Alexander H. Montgomery, and Mark Lubell. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190228217.013.10.

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Stochastic Actor Oriented Models for Network Dynamics are used for the statistical analysis of longitudinal network data collected as a panel. The probability model defines an unobserved stochastic process of tie changes, where social actors add new ties or drop existing ties in response to the current network structure; the panel observations are snapshots of the resulting changing network. The statistical analysis is based on computer simulations of this process, which provides a great deal of flexibility in representing data constraints and dependence structures. In this Chapter we begin by defining the basic model. We then explicate a new model for nondirected ties, including several options for the specification of how pairs of actors coordinate tie changes. Next, we describe coevolution models. These can be used to model the dynamics of several interdependent sets of variables, such as the analysis of panel data on a network and the behavior of the actors in the network, or panel data on two or more networks. We finish by discussing the differences between Stochastic Actor Oriented Models and some other longitudinal network models. A major distinguishing feature is the treatment of time, which allows straightforward application of the model to panel data with different time lags between waves. We provide a variety of applications in political science throughout.
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