Books on the topic 'GMM, Panel Data Models'

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1

Xiao, Zheng. Random coefficient panel data models. Bonn, Germany: IZA, 2004.

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2

Massetti, Emanuele. Estimating Ricardian models with panel data. Cambridge, MA: National Bureau of Economic Research, 2011.

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3

Ncube, Mthuli. Modelling implied volatility with OLS and panel data models. London: London School of Economics, Financial Markets Group, 1994.

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4

Wooldridge, Jeffrey M. Distribution-free estimation of some nonlinear panel data models. Cambridge, Mass: Dept. of Economics, Massachusetts Institute of Technology, 1990.

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5

Anderson, Gordon. Alternative error covariance assumptions in dynamic panel data models. Toronto: Dept. of Economics and Institute for Policy Analysis, University of Toronto, 1988.

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6

Wooldridge, Jeffrey M. Multiplicative panel data models without the strict exogeneity assumption. Cambridge, Mass: Massachusetts Institute of Technology, 1991.

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7

Panel data econometrics: Methods-of-moments and limited dependent variables. San Diego: Academic Press, 2002.

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8

Hensher, David A. Issues in the pre-analysis of panel data. 's-Gravenhage: Ministerie van Verkeer en Waterstaat, Projectbureau Integrale Verkeers- en Vervoerstudies, 1985.

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9

Kahn, Barbara E. Measuring variety-seeking and reinforcement behaviors using panel data. West Lafayette, Ind: Institute for Research in the Behavioral, Economic, and Management Sciences, Krannert Graduate School of Management, Purdue University, 1986.

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10

Kahn, Barbara E. Measuring variety-seeking and reinforcement behaviors using panel data. West Lafayette, Ind: Institute for Research in the Behavioral, Economic, and Management Sciences, Krannert Graduate School of Management, Purdue University, 1985.

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11

Blundell, Richard. Initial conditions and efficient estimation in dynamic panel data models. London: University College, 1991.

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12

Machin, S. Dynamic models of employment based on firm level panel data. London: University College, 1991.

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13

Milopoulos, Christos. Investment behaviour under uncertainty: An econometric analysis of Swedish panel data. Gothenburg: Nationalekonomiska institutionen, Handelshögskolan vid Göteborgs universitet, 1993.

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14

Tibrewala, Vikas. Nonstationary conditional trend analysis: An application to scanner panel data. Fontainbleau: INSEAD, 1992.

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15

Denny, Kevin. Empirical models of firm-level profitability based on UK panel data. Dublin: University College Dublin, Department of Economics, 1993.

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16

Austria, Myrna S. Exports, technological progress, and growth: The use of panel data. Canberra, ACT, Australia: Economics Division, Research School of Pacific Studies, Australian National University, 1992.

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17

Habermeier, Karl Friedrich. Long-run exchange rate dynamics: A panel data study. [Washington, D.C.]: International Monetary Fund, Monetary and Exchange Affairs Department, 1999.

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18

Loayza, Norman. A test of the international convergence hypothesis using panel data. Washington, D.C: World Bank, Policy Research Dept., Macroeconomics and Growth Division, 1994.

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19

Aisen, Ari. Does political instability lead to higher inflation?: A panel data analysis. Washington, D.C: International Monetary Fund, Monetary and Financial Systems Dept., 2005.

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20

Bhattacharyya, Ranajoy. Does the gravity model explain India's direction of trade?: A panel data approach. Ahmedabad: Indian Institute of Management, 2006.

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21

Gavin, William T. A common model approach to macroeconomics: Using panel data to reduce sampling error. [St. Louis, Mo.]: Federal Reserve Bank of St. Louis, 2003.

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22

Auerbach, Alan J. Capital gains taxation and tax avoidance: New evidence from panel data. Cambridge, MA: National Bureau of Economic Research, 1998.

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23

Choi, Woon Gyu. Has inventory investment been liquidity-constrained?: Evidence from U.S. panel data. [Washington, D.C.]: International Monetary Fund, IMF Institute, 2001.

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24

Ncube, Mthuli. Option pricing with time-varying volatility: Using OLS and panel data models. [Harare]: Dept. of Economics, University of Zimbabwe, 1991.

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25

Mairesse, Jacques. Estimating the productivity of research and development: An exploration of GMM methods using data on French and United States manufacturing firms. Cambridge, MA: National Bureau of Economic Research, 1996.

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26

Eckstein, Zvi. Agricultural supply response using vector autoregressions (VAR) with panel data: Some evidence from India. [Tel Aviv]: David Horowitz Institute for the Research of Developing Countries, Tel-Aviv University, 1985.

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27

Michaud, Pierre-Carl. Health and wealth of elderly couples: Causality tests using dynamic panel data models. Bonn, Germany: IZA, 2004.

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28

Devereux, Michael B. Investment, financial factors and cash flow: Evidence from UK panel data. Cambridge, MA: National Bureau of Economic Research, 1989.

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29

Membership functions for fuzzy poverty measurement: An approach using German panel data. Frankfurt am Main: P. Lang, 1996.

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30

Kimura, Fukunari. Globalizing activities and the rate of survival: Panel data analysis on Japanese firms. Cambridge, MA: National Bureau of Economic Research, 2003.

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31

Cummins, Jason G. The tax sensitivity of foreign direct investment: Evidence from firm-level panel data. Cambridge, MA: National Bureau of Economic Research, 1994.

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32

Horioka, Charles. The determinants of household saving in China: A dynamic panel analysis of provincial data. Cambridge, Mass: National Bureau of Economic Research, 2006.

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33

Schiantarelli, Fabio. Form of ownership and financial contraints: Panel data evidence from leverage and investment equations. Washington, DC: World Bank, Policy Research Dept., Finance and Private Sector Development Division, 1996.

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34

Laeven, Luc. Financial liberalization and financing constraints: Evidence from panel data on emerging economies. Washington, D.C: World Bank, Financial Sector Strategy and Policy Dept., 2000.

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35

Fader, Peter S. Estimating models of promotion-induced non-compensatory choice behavior using UPC scanner panel data. Cambridge, Mass: Massachusetts Institute of Technology, Alfred P. Sloan School of Management, 1985.

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36

Gagnon, Joseph E. Markup adjustment and exchange rate fluctuations: Evidence from panel data on automobile exports. Cambridge, MA: National Bureau of Economic Research, 1992.

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37

Rajesh, Mehta. India's export by countries and commodities: On the estimation of a forecasting model using panel data. New Delhi: Research and Information System for the Non-aligned and Other Developing Countries, 2004.

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38

Heshmati, Almas. Estimating technical efficiency, productivity growth and selectivity bias using rotating panel data: An application to Swedish agriculture. Göteborg: [Göteborgs universitet], 1994.

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39

Hanisch, Jens Ulrich. Rounding of income data: An empirical analysis of the quality of income data with respect to rounded values and income brackets with data from the European Community Household Panel. Frankfurt am Main: Peter Lang, 2007.

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40

Jaramillo, Fidel. Capital market imperfections before and after financial liberalization: A Euler equation approach to panel data for Ecuadorian firms. Washington, DC (1818 H St. NW Washington 20433): Country Economics Dept., World Bank, 1993.

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41

Kraay, Aart. Product quality, productive efficiency, and international technology diffusion: Evidence from plant-level panel data. Washington, D.C: World Bank, Development Research Group, Macroeconomics and Growth, and, Trade., 2002.

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42

Allah, Aman. Semiparametric panel data estimation: An application to immigrants homelink effect on U.S. producer trade flows. Delhi: Centre for Development Economics, Delhi School of Economics, 2000.

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43

Lechner, Michael. Expected job loss in East and West Germany 1990/89: An econometric analysis using individual data of the socio-economic panel. Mannheim: Institut für Volkswirtschaftslehre und Statistik der Universität Mannheim, 1991.

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44

S, Madheswaran, and Institute for Social and Economic Change, eds. Casuality between energy consumption and output growth in Indian cement industry: An application of panel vector error correction model. Bangalore: Institute for Social and Economic Change, 2010.

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45

Orme, Chris. A note on adjusting the bias of maximum likelihood estimators in discrete panel data models with unobserved random effects. Loughborough: Loughborough University of Technology, Department of Economics, 1992.

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46

Kumar, Anil. Lifecycle consistent estimation of effect of taxes on female labor supply in the U.S.: Evidence from panel data. [Dallas, Tx.]: Federal Reserve Bank of Dallas, 2005.

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47

DiNardo, John E. The Phillips curve is back?: Using panel data to analyze the relationship between unemployment and inflation in an open economy. Cambridge, MA: National Bureau of Economic Research, 1999.

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48

Hayashi, Fumio. The relation between firm growth and Q with multiple capital goods: Theory and evidence from panel data on Japanese firms. Cambridge, MA: National Bureau of Economic Research, 1990.

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49

Meeting, COSPAR Plenary. Orbit determination and analysis: Proceedings of the PSD Meeting of the COSPAR Technical Panel on Satellite Dynamics which was held during the Thirtieth COSPAR Scientific Assembly, Hamburg, Germany, 11-21 July 1994. Oxford, England: Published for The Committee on Space Research [by] Pergamon, 1995.

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50

Byun, Jae-Woong. Estimation of discrete dynamic models from endogenously-sampled company panel data: An analysis of direct investmentby Korean firms in the European Union. Leicester: University of Leicester, Department of Economics, 1994.

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