From Data to Causes I: Building A General Cross-Lagged Panel Model (GCLM)
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Kristopher J Preacher | P. Allison | E. Hamaker | K. Preacher | M. Zyphur | Zhen Zhang | Peter Koval | L. Tay | M. Voelkle | Dean C. Pierides | Ed Diener | A. Shamsollahi | Dean Pierides
[1] Badi H. Baltagi,et al. Dynamic Panel Data Models , 2021, Springer Texts in Business and Economics.
[2] J. Boehm,et al. Hedonic Adaptation , 2020, The Wiley Encyclopedia of Personality and Individual Differences.
[3] Neil Shephard,et al. Time Series Experiments and Causal Estimands: Exact Randomization Tests and Trading , 2017, Journal of the American Statistical Association.
[4] P. Allison,et al. Maximum Likelihood for Cross-lagged Panel Models with Fixed Effects , 2017, Panel Data Econometrics.
[5] D. Stone,et al. Causal Stories and the Formation of Policy Agendas , 1989, Anthologie Kulturpolitik.
[6] Bengt Muthén,et al. Dynamic Structural Equation Models , 2018 .
[7] James H. Stock,et al. Identification and Estimation of Dynamic Causal Effects in Macroeconomics Using External Instruments , 2018 .
[8] A. Deaton,et al. Understanding and Misunderstanding Randomized Controlled Trials , 2016, Social science & medicine.
[9] Richard Williams,et al. Linear Dynamic Panel-data Estimation Using Maximum Likelihood and Structural Equation Modeling , 2015, The Stata Journal: Promoting communications on statistics and Stata.
[10] Michael P. Clements,et al. Dynamic Factor Models , 2011, Financial Econometrics.
[11] Francis Tuerlinckx,et al. Changing Dynamics: Time-Varying Autoregressive Models Using Generalized Additive Modeling , 2017, Psychological methods.
[12] Louis Tay,et al. Introduction to Time Series Analysis for Organizational Research , 2017 .
[13] R. Califf,et al. Real-World Evidence - What Is It and What Can It Tell Us? , 2016, The New England journal of medicine.
[14] A. Chaturvedi. Analysis of Panel Data, 3rd edn C. Hsiao, 2014 Cambridge, Cambridge University Press 562 pp., $49.99 ISBN 978-1-107-03860-1 (hardbound), 978-1-107-65763-2 paperbound , 2016 .
[15] B. Muthén,et al. Structural Equation Models and Mixture Models With Continuous Nonnormal Skewed Distributions , 2016 .
[16] Lisa Werner,et al. Principles of forecasting: A handbook for researchers and practitioners , 2002 .
[17] Andreas Ritter,et al. Structural Equations With Latent Variables , 2016 .
[18] M. Weisz. Econometric Analysis Of Panel Data , 2016 .
[19] S. Carpenter,et al. Generic Indicators of Ecological Resilience: Inferring the Chance of a Critical Transition , 2015 .
[20] D. Mare,et al. The Oxford Handbook of Economic Forecasting , 2015, J. Oper. Res. Soc..
[21] Christian Dormann,et al. Optimal time lags in panel studies. , 2015, Psychological methods.
[22] D. Sgroi,et al. Happiness and Productivity , 2015, Journal of Labor Economics.
[23] Raissa M. D'Souza,et al. Anomalous critical and supercritical phenomena in explosive percolation , 2015, Nature Physics.
[24] Wei Wang,et al. Time series analysis for psychological research: examining and forecasting change , 2015, Front. Psychol..
[25] Christina Fang,et al. Perspective - Chance Explanations in the Management Sciences , 2015, Organ. Sci..
[26] Ellen L Hamaker,et al. A critique of the cross-lagged panel model. , 2015, Psychological methods.
[27] Ellen L. Hamaker,et al. UvA-DARE ( Digital Academic Repository ) To center or not to center ? Investigating inertia with a multilevel autoregressive model , 2014 .
[28] Bengt Muthén,et al. Causal Effects in Mediation Modeling: An Introduction With Applications to Latent Variables , 2015 .
[29] H. Lütkepohl. Forecasting Unpredictable Variables , 2015 .
[30] D. Peña,et al. Time Series Segmentation Procedures to Detect, Locate and Estimate Change-Points , 2015 .
[31] Robert Fildes,et al. Simple versus complex forecasting : The evidence , 2015 .
[32] Kesten C. Green,et al. Golden Rule of Forecasting: Be Conservative , 2015 .
[33] Badi H. Baltagi,et al. The Oxford Handbook of Panel Data , 2014 .
[34] Health and wealth: Short panel Granger causality tests for developing countries , 2014 .
[35] J. Mcardle,et al. Longitudinal Data Analysis Using Structural Equation Models , 2014 .
[36] F. Dominici,et al. Particulate Matter Matters , 2014, Science.
[37] I. Tannock,et al. Randomised controlled trials and population-based observational research: partners in the evolution of medical evidence , 2014, British Journal of Cancer.
[38] Petra Hendriks,et al. Understanding and Misunderstanding , 2014 .
[39] B. Muthén,et al. Using Mplus individual residual plots for diagnostics and model evaluation in SEM , 2014 .
[40] D. Borsboom,et al. Critical slowing down as early warning for the onset and termination of depression , 2013, Proceedings of the National Academy of Sciences.
[41] Ian J. Deary,et al. The Stability of Intelligence From Age 11 to Age 90 Years , 2013, Psychological science.
[42] Jushan Bai. Likelihood Approach to Dynamic Panel Models with Interactive Effects , 2013 .
[43] Alastair R. Hall,et al. Testing structural stability in macroeconometric models , 2013 .
[44] James Davidson,et al. Cointegration and error correction , 2013 .
[45] Enrique Moral-Benito,et al. Likelihood-Based Estimation of Dynamic Panels With Predetermined Regressors , 2013 .
[46] S. Kaneko,et al. Impulse response functions. , 2013 .
[47] Seung C. Ahn,et al. Panel Data Models with Multiple Time-Varying Individual Effects , 2013 .
[48] S. Winter. Habit, Deliberation, and Action: Strengthening the Microfoundations of Routines and Capabilities , 2013 .
[49] Vasilis Sarafidis,et al. Dynamic panel data models , 2013 .
[50] Paul E. Spector,et al. Reciprocal effects of work stressors and counterproductive work behavior: a five-wave longitudinal study. , 2013, The Journal of applied psychology.
[51] Shigehiro Oishi,et al. Rising income and the subjective well-being of nations. , 2013, Journal of personality and social psychology.
[52] Fabio Canova,et al. Panel Vector Autoregressive Models: A Survey , 2013, SSRN Electronic Journal.
[53] Mthuli Ncube,et al. Effects of Monetary Policy on Output , 2013 .
[54] J. Wolfers,et al. The New Stylized Facts About Income and Subjective Well-Being , 2012, Emotion.
[55] Nancy Cartwright. Presidential Address: Will This Policy Work for You? Predicting Effectiveness Better: How Philosophy Helps , 2012, Philosophy of Science.
[56] E. Diener. New findings and future directions for subjective well-being research. , 2012, The American psychologist.
[57] J. De Neve,et al. Estimating the influence of life satisfaction and positive affect on later income using sibling fixed effects , 2012, Proceedings of the National Academy of Sciences.
[58] Odd O Aalen,et al. Causality, mediation and time: a dynamic viewpoint , 2012, Journal of the Royal Statistical Society. Series A,.
[59] Nancy Cartwright,et al. Evidence-Based Policy: A Practical Guide to Doing It Better , 2012 .
[60] Fei Wang,et al. China’s life satisfaction, 1990–2010 , 2012, Proceedings of the National Academy of Sciences.
[61] Robinson Kruse,et al. Unit roots, nonlinearities and structural breaks , 2012 .
[62] M. Scheffer,et al. Robustness of variance and autocorrelation as indicators of critical slowing down. , 2012, Ecology.
[63] D. French. Causation between health and income: a need to panic , 2012 .
[64] Ellen L. Hamaker,et al. Why researchers should think "within-person": A paradigmatic rationale. , 2012 .
[65] Taehun Lee,et al. Disaggregating within-person and between-person effects in multilevel and structural equation growth models. , 2012 .
[66] Rick H. Hoyle,et al. Handbook of structural equation modeling , 2012 .
[67] C. Stein,et al. Structural equation modeling. , 2012, Methods in molecular biology.
[68] J. Armstrong,et al. Illusions in Regression Analysis , 2011 .
[69] Nancy Cartwright. Predicting what will happen when we act. What counts for warrant? , 2011, Preventive medicine.
[70] Patrick E. Shrout,et al. Commentary: Mediation Analysis, Causal Process, and Cross-Sectional Data , 2011, Multivariate behavioral research.
[71] Wanda J. Orlikowski,et al. Theorizing Practice and Practicing Theory , 2011, Organ. Sci..
[72] D. Rubin,et al. Causal Effects of Perceived Immutable Characteristics , 2011, Review of Economics and Statistics.
[73] J. Angrist,et al. Causal Effects of Monetary Shocks: Semiparametric Conditional Independence Tests with a Multinomial Propensity Score , 2011, Review of Economics and Statistics.
[74] S. Carpenter,et al. Early Warnings of Regime Shifts: A Whole-Ecosystem Experiment , 2011, Science.
[75] Robert E. Ployhart,et al. The “Quick Start Guide” for Conducting and Publishing Longitudinal Research , 2011 .
[76] Helmut Lütkepohl,et al. Vector Autoregressive Models , 2011, International Encyclopedia of Statistical Science.
[77] Daniel J. Bauer,et al. The disaggregation of within-person and between-person effects in longitudinal models of change. , 2011, Annual review of psychology.
[78] J. Wolfers,et al. Growth in Income and Subjective Well‐Being Over Time* , 2011 .
[79] M. Lechner. The Relation of Different Concepts of Causality Used in Time Series and Microeconometrics , 2010 .
[80] Alex Coad,et al. An Examination of the Dynamics of Well-Being and Life Events using Vector Autoregressions , 2010 .
[81] A. Oswald,et al. Journal of Economic Behavior & Organization Hedonic Capital, Adaptation and Resilience , 2022 .
[82] K. Bollen,et al. A General Panel Model with Random and Fixed Effects: A Structural Equations Approach , 2010, Social forces; a scientific medium of social study and interpretation.
[83] S. Carpenter,et al. Interacting regime shifts in ecosystems: implication for early warnings , 2010 .
[84] Derin B. Wysham,et al. Regime shifts in ecological systems can occur with no warning. , 2010, Ecology letters.
[85] Eileen Munro,et al. The limitations of randomized controlled trials in predicting effectiveness. , 2010, Journal of evaluation in clinical practice.
[86] Emery N. Brown,et al. A general statistical framework for assessing Granger causality , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.
[87] Guido M. Kuersteiner,et al. Granger-Sims causality , 2010 .
[88] N. Kocherlakota. Modern macroeconomic models as tools for economic policy , 2010 .
[89] S. Carpenter,et al. Early-warning signals for critical transitions , 2009, Nature.
[90] Alexa A. Perryman,et al. Effects of selection and training on unit-level performance over time: a latent growth modeling approach. , 2009, The Journal of applied psychology.
[91] J. Bai,et al. Panel Data Models With Interactive Fixed Effects , 2009 .
[92] R. Stawski,et al. Persons as Contexts: Evaluating Between-Person and Within-Person Effects in Longitudinal Analysis , 2009 .
[93] Jasjeet S. Sekhon,et al. Opiates for the Matches: Matching Methods for Causal Inference , 2009 .
[94] P. Allison. Fixed Effects Regression Models , 2009 .
[95] N. Cartwright. Causality, Invariance, and Policy , 2009 .
[96] I. Yetkiner,et al. The Granger-causality between health care expenditure and output: a panel data approach , 2009 .
[97] M. Withey,et al. The Strong Situation Hypothesis , 2009, Personality and social psychology review : an official journal of the Society for Personality and Social Psychology, Inc.
[98] H. Kincaid,et al. The Oxford Handbook of Philosophy of Economics , 2009 .
[99] Mark W. Watson,et al. Forecasting in dynamic factor models subject to structural instability , 2009 .
[100] T. Trull,et al. Analysis of affective instability in ecological momentary assessment: Indices using successive difference and group comparison via multilevel modeling. , 2008, Psychological methods.
[101] A. Hewison. Evidence-Based Policy , 2008, Policy, politics & nursing practice.
[102] Hua Liang,et al. A Note on Conditional AIC for Linear Mixed-Effects Models. , 2008, Biometrika.
[103] D. Rubin. For objective causal inference, design trumps analysis , 2008, 0811.1640.
[104] Edward A. Codling,et al. Random walk models in biology , 2008, Journal of The Royal Society Interface.
[105] George E. P. Box,et al. Time Series Analysis: Box/Time Series Analysis , 2008 .
[106] J. Bai,et al. Large Dimensional Factor Analysis , 2008 .
[107] L. Lima,et al. Further investigation of the uncertain trend in US GDP , 2008 .
[108] D. Zuroff,et al. Integrating dispositions, signatures, and the interpersonal domain. , 2008, Journal of personality and social psychology.
[109] A. Soest,et al. Health and Wealth of Elderly Couples: Causality Tests Using Dynamic Panel Data Models , 2004, Journal of health economics.
[110] B. Muthén,et al. Growth mixture modeling , 2008 .
[111] Jeffrey B Vancouver,et al. Self-efficacy and resource allocation: support for a nonmonotonic, discontinuous model. , 2008, The Journal of applied psychology.
[112] Howard Eisner,et al. Information Age , 2008, Wiley Encyclopedia of Computer Science and Engineering.
[113] L. Barsalou. Grounded cognition. , 2008, Annual review of psychology.
[114] Zhiyong Zhang,et al. Bayesian Estimation of Categorical Dynamic Factor Models , 2007 .
[115] Lesa Hoffman. Multilevel Models for Examining Individual Differences in Within-Person Variation and Covariation Over Time , 2007 .
[116] Robert Fildes,et al. Forecasting competitions - their role in improving forecasting practice and research , 2007 .
[117] Helmut Ltkepohl,et al. New Introduction to Multiple Time Series Analysis , 2007 .
[118] A. Clark,et al. Relative Income, Happiness and Utility: An Explanation for the Easterlin Paradox and Other Puzzles , 2007 .
[119] N. Cartwright,et al. Hunting Causes and Using Them: Approaches in Philosophy and Economics , 2007 .
[120] Herman Stekler,et al. The future of macroeconomic forecasting: Understanding the forecasting process , 2007 .
[121] J. Armstrong. Significance Tests Harm Progress in Forecasting , 2007 .
[122] C. Hsiao. Panel data analysis—advantages and challenges , 2007 .
[123] J. Neuhaus,et al. Fixed Effects Regression Methods for Longitudinal Data Using SAS , 2006 .
[124] David T. Neal,et al. Habits—A Repeat Performance , 2006 .
[125] Markus C. Becker,et al. Schumpeter, Winter, and the sources of novelty , 2006 .
[126] Helmut Lütkepohl,et al. Chapter 6 Forecasting with VARMA Models , 2006 .
[127] Kenneth A. Bollen,et al. Latent curve models: A structural equation perspective , 2005 .
[128] S. Lyubomirsky,et al. The Benefits of Frequent Positive Affect: Does Happiness Lead to Success? , 2005, Psychological bulletin.
[129] F. Vaida,et al. Conditional Akaike information for mixed-effects models , 2005 .
[130] J. Scott Armstrong,et al. The Forecasting Canon: Nine Generalizations to Improve Forecast Accuracy , 2005 .
[131] Pierre Perron,et al. Dealing with Structural Breaks , 2005 .
[132] John P. Haisken-DeNew,et al. The causal effect of income on health: evidence from German reunification. , 2005, Journal of health economics.
[133] H. Uhlig. What are the Effects of Monetary Policy on Output? : Results from an Agnostic Identification Procedure , 2005 .
[134] Ellen L. Hamaker,et al. Conditions for the Equivalence of the Autoregressive Latent Trajectory Model and a Latent Growth Curve Model With Autoregressive Disturbances , 2005 .
[135] Mikael Lindahl. Estimating the Effect of Income on Health and Mortality Using Lottery Prizes as an Exogenous Source of Variation in Income , 2002, The Journal of Human Resources.
[136] M. Pesaran,et al. ESTIMATION AND INFERENCE IN SHORT PANEL VECTOR AUTOREGRESSIONS WITH UNIT ROOTS AND COINTEGRATION , 2000, Econometric Theory.
[137] David R. Anderson,et al. Multimodel Inference , 2004 .
[138] P. Molenaar. A Manifesto on Psychology as Idiographic Science: Bringing the Person Back Into Scientific Psychology, This Time Forever , 2004 .
[139] D. Freedman. Graphical Models for Causation, and the Identification Problem , 2004 .
[140] C. Halaby,et al. Panel Models in Sociological Research: Theory into Practice , 2004 .
[141] Brendan McCabe,et al. Forecasting discrete valued low count time series , 2004 .
[142] P. Frijters,et al. How Important is Methodology for the Estimates of the Determinants of Happiness? , 2004 .
[143] W. Fleeson. Moving Personality Beyond the Person-Situation Debate , 2004 .
[144] Robert Fildes,et al. Levels, Differences and Ecms - Principles for Improved Econometric Forecasting , 2004 .
[145] Craig K. Enders,et al. Using an EM Covariance Matrix to Estimate Structural Equation Models With Missing Data: Choosing an Adjusted Sample Size to Improve the Accuracy of Inferences , 2004 .
[146] David F. Hendry,et al. Causality and Exogeneity in Non-stationary Economic Time Series , 2004 .
[147] Helmut Luetkepohl,et al. Forecasting with VARMA Models , 2004 .
[148] Bruno S. Frey,et al. Does Marriage Make People Happy, or Do Happy People Get Married? , 2005 .
[149] Jean Boivin,et al. Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach , 2003 .
[150] Denis Pelletier,et al. Short run and long run causality in time series: Inference , 2003 .
[151] P. Holland. CAUSATION AND RACE , 2003 .
[152] Peter C. B. Phillips,et al. Laws and Limits of Econometrics , 2003 .
[153] I. Deary,et al. Personality traits, 2nd ed. , 2003 .
[154] Jean-Marie Dufour,et al. Short run and long run causality in time series , 2003 .
[155] Clive W. J. Granger,et al. Some aspects of causal relationships , 2003 .
[156] Consistent estimation of dynamic panel data models with time-varying individual effects , 2003 .
[157] Bengt Muthén,et al. Modeling Interactions Between Latent and Observed Continuous Variables Using Maximum-Likelihood Estimation In Mplus , 2003 .
[158] M. Arellano. Panel Data Econometrics , 2002 .
[159] Serena Chen,et al. The relational self: an interpersonal social-cognitive theory. , 2002, Psychological review.
[160] J. Ord,et al. Principles of forecasting: A handbook for researchers and practitioners , 2002 .
[161] Peter C. M. Molenaar,et al. On the Nature of SEM Estimates of ARMA Parameters , 2002 .
[162] Stephen Bond,et al. Dynamic panel data models: a guide to micro data methods and practice , 2002 .
[163] Nobuhiro Kiyotaki,et al. Balance-Sheet Contagion , 2002 .
[164] A. Deaton. Policy implications of the gradient of health and wealth. , 2002, Health affairs.
[165] E. Diener,et al. Will Money Increase Subjective Well-Being? , 2002 .
[166] B. Muthén. BEYOND SEM: GENERAL LATENT VARIABLE MODELING , 2002 .
[167] David F. Hendry,et al. Forecasting in the Presence of Structural Breaks and Policy Regime Shifts , 2001 .
[168] P. Hansen,et al. Health care spending and economic output: Granger causality , 2001 .
[169] Michael P. Clements,et al. An Historical Perspective on Forecast Errors , 2001, National Institute Economic Review.
[170] R. Easterlin. Income and Happiness: Towards a Unified Theory , 2001 .
[171] Angus Deaton,et al. Health, Inequality, and Economic Development , 2001 .
[172] W. Fleeson. Toward a structure- and process-integrated view of personality: traits as density distribution of states. , 2001, Journal of personality and social psychology.
[173] Peter Schmidt,et al. GMM estimation of linear panel data models with time-varying individual effects , 2001 .
[174] Jack Strauss,et al. Panel Unit-Root Tests of OECD Stochastic Convergence , 2001 .
[175] Robert M. Kunst. Econometric Forecasting , 2007 .
[176] Clive W. J. Granger,et al. Some recent developments in a concept of causality , 2001 .
[177] Clive W. J. Granger,et al. Time series modeling and interpretation , 2001 .
[178] J. Ruiz Moreno. [Organizational learning]. , 2001, Revista de enfermeria.
[179] J. Armstrong,et al. Role Playing: a Method to Forecast Decisions , 2000 .
[180] Spyros Makridakis,et al. The M3-Competition: results, conclusions and implications , 2000 .
[181] Jonathan H. Wright. Confidence Intervals for Univariate Impulse Responses With a Near Unit Root , 2000 .
[182] P. Pierson. Increasing Returns, Path Dependence, and the Study of Politics , 2000, American Political Science Review.
[183] J. Mahoney. Path dependence in historical sociology , 2000 .
[184] B. Roberts,et al. The rank-order consistency of personality traits from childhood to old age: a quantitative review of longitudinal studies. , 2000, Psychological bulletin.
[185] Lutz Kilian,et al. Finite-Sample Properties of Percentile and Percentile-t Bootstrap Confidence Intervals for Impulse Responses , 1999, Review of Economics and Statistics.
[186] Christopher Winship,et al. THE ESTIMATION OF CAUSAL EFFECTS FROM OBSERVATIONAL DATA , 1999 .
[187] Bradley L. Kirkman,et al. Beyond Self-Management: Antecedents and Consequences of Team Empowerment , 1999 .
[188] J. Stock,et al. Chapter 1 Business cycle fluctuations in us macroeconomic time series , 1999 .
[189] P. Bentler,et al. Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .
[190] C. Sims,et al. Vector Autoregressions , 1999 .
[191] K. Weick,et al. Introductory Essay : Improvisation As a Mindset for Organizational Analysis , 1998 .
[192] J. Stock,et al. Business Cycle Fluctuations in U.S. Macroeconomic Time Series , 1998 .
[193] Lawrence J. Christiano,et al. Monetary Policy Shocks: What Have We Learned and to What End? , 1998 .
[194] K. Weick. Improvisation as a Mindset for Organizational Analysis , 1998 .
[195] P. Bentler,et al. Fit indices in covariance structure modeling : Sensitivity to underparameterized model misspecification , 1998 .
[196] David M. Raup,et al. How Nature Works: The Science of Self-Organized Criticality , 1997 .
[197] Norman R. Swanson,et al. Impulse Response Functions Based on a Causal Approach to Residual Orthogonalization in Vector Autoregressions , 1997 .
[198] Charles R. Nelson,et al. The Uncertain Trend in U.S. GDP , 1997 .
[199] Nobuhiro Kiyotaki,et al. Credit Cycles , 1995, Journal of Political Economy.
[200] Andrew Harvey,et al. Trends, Cycles and Autoregressions , 1997 .
[201] S. Ettner. New evidence on the relationship between income and health. , 1996, Journal of health economics.
[202] Per Bak,et al. How Nature Works , 1996 .
[203] Jean-Marie Dufour,et al. Short-Run and Long-Rub Causality in Time Series: Theory. , 1998 .
[204] B. Bernanke,et al. Measuring Monetary Policy , 1995 .
[205] R. Easterlin. Will raising the incomes of all increase the happiness of all , 1995 .
[206] W. Enders. Applied Econometric Time Series , 1994 .
[207] J. Stock,et al. Evidence on Structural Instability in Macroeconomic Time Series Relations , 1994 .
[208] J. Cochrane,et al. Shocks , 1994 .
[209] Helmut Lütkepohl,et al. Testing for Causation Between Two Variables in Higher-Dimensional VAR Models , 1993 .
[210] Jean-Marie Dufour,et al. On the relationship between impulse response analysis, innovation accounting and Granger causality , 1993 .
[211] C. Sims. Interpreting the macroeconomic time series facts: The effects of monetary policy☆ , 1992 .
[212] Dietmar Saupe,et al. Chaos and fractals - new frontiers of science , 1992 .
[213] Michael P. Clements,et al. Empirical analysis of macroeconomic time series : VAR and structural models , 1991 .
[214] M. Arellano,et al. Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations , 1991 .
[215] James J. Heckman,et al. Identifying the Hand of the Past: Distinguishing State Dependence from Heterogeneity , 1991 .
[216] C. Gersick,et al. Habitual routines in task-performing groups. , 1990, Organizational behavior and human decision processes.
[217] International Evidence on the Size of the Random Walk in Output , 1990, Journal of Political Economy.
[218] J. Stock,et al. INFERENCE IN LINEAR TIME SERIES MODELS WITH SOME UNIT ROOTS , 1990 .
[219] P. Ackerman,et al. Motivation and cognitive abilities: an integrative/aptitude-treatment interaction approach to skill acquisition , 1989 .
[220] R. P. McDonald,et al. Structural Equations with Latent Variables , 1989 .
[221] Johan P. Olsen,et al. Rediscovering institutions: The organizational basis of politics , 1989 .
[222] C. Granger. Some recent development in a concept of causality , 1988 .
[223] J. Stock,et al. Variable Trends in Economic Time Series , 1988 .
[224] B. Bernanke,et al. Credit, Money, and Aggregate Demand , 1988 .
[225] C. Hsiao. Analysis of Panel Data , 1989 .
[226] C. Granger. Statistics and Causal Inference: Comment , 1986 .
[227] C. Sims. Are forecasting models usable for policy analysis , 1986 .
[228] P. Holland. Statistics and Causal Inference , 1985 .
[229] D. G. Taylor. Linear Panel Analysis: Models of Quantitative Change.Ronald C. Kessler , David F. Greenberg , 1985 .
[230] D. Andrews,et al. Trends, random walks, and tests of the permanent income hypothesis , 1985 .
[231] Andrew Harvey,et al. Trends and Cycles in Macroeconomic Time Series , 1985 .
[232] John B. Willett,et al. Satisfying a Simplex Structure is Simpler than it should be , 1985 .
[233] Jeffrey K. Liker,et al. Panel Data and Models of Change: A Comparison of First Difference and Conventional Two-Wave Models , 1985 .
[234] Robert P. Abelson,et al. A Variance Explanation Paradox: When a Little is a Lot , 1985 .
[235] Adrian Pagan,et al. Chapter 18 Dynamic specification , 1984 .
[236] C. Hsiao. Autoregressive modeling and causal ordering of economic variables , 1982 .
[237] Stephen Nickell,et al. Biases in Dynamic Models with Fixed Effects , 1981 .
[238] Jerry A. Hausman,et al. Panel Data and Unobservable Individual Effects , 1981 .
[239] C. Sims. MACROECONOMICS AND REALITY , 1977 .
[240] C. Granger. Testing for causality: a personal viewpoint , 1980 .
[241] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[242] Clive W. J. Granger,et al. Time Series Modelling and Interpretation , 1976 .
[243] R. Lucas. Econometric policy evaluation: A critique , 1976 .
[244] C. Granger,et al. Spurious regressions in econometrics , 1974 .
[245] P. Young,et al. Time series analysis, forecasting and control , 1972, IEEE Transactions on Automatic Control.
[246] C. Granger. Investigating causal relations by econometric models and cross-spectral methods , 1969 .