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Books on the topic 'An instrument of estimation'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

Hahn, Jinyong. IV estimation with valid and invalid instruments. Massachusetts Institute of Technology, Dept. of Economics, 2003.

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2

West, Kenneth D. Instrumental variables estimation of heteroskedastic linear models using all lags of instruments. National Bureau of Economic Research, 2007.

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3

Gerard J. van den Berg. An economic analysis of exclusion restrictions for instrumental variable estimation. IZA, 2007.

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4

Kuersteiner, Guido M. Optimal instrumental variables estimation for ARMA models. Dept. of Economics, Massachusetts Institute of Technology, 1999.

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5

Daniel Távora de Queiroz Cobra. Estimation and correction of geometric distortions in side-scan sonar design. WHOI, 1990.

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6

Holly, Alberto. A note on instrumental variables and maximum likelihood estimation procedures. London School of Economics, 1986.

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7

Chang-Jin, Kim. Estimation of Markov regime-switching regression models with endogenous switching. Federal Reserve Bank of St. Louis, 2003.

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8

Toxics Link (Organization : India). Estimation of mercury usage and release from healthcare instruments in India. Toxics Link, 2011.

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9

G, Foote K., and International Council for the Exploration of the Sea., eds. Calibration of acoustic instruments for fish density estimation: A practical guide. International Council for the Exploration of the Sea, 1987.

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10

Inoue, Atsushi. Two-sample instrumental variables estimators. National Bureau of Economic Research, 2005.

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11

Becker, Bo. Estimating the effects of large shareholders using a geographic instrument. National Bureau of Economic Research, 2011.

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12

Henrik, Cronqvist, Fahlenbrach Rüdiger, and Harvard Business School, eds. Estimating the effects of large shareholders using a geographic instrument. Harvard Business School, 2009.

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13

Lewbel, Arthur. Semiparametric qualitative response model estimation with instrumental variables and unknown heteroscedasticity. University of Bristol, Department of Economics, 1998.

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14

Arellano, Manuel. Another look at the instrumental-variable estimation of error-components models. London School of Economics and Political Science, Centre for Economic Performance, 1990.

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15

Canada. Dept. of the Interior., ed. On the location and examination of magnetic ore deposits by magnetometric measurements. Dept. of the Interior, 1997.

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16

Hahn, Jinyong. Bias corrected instrumental variables estimation for dynamic panel models with fixed effects. Massachusetts Institute of Technology, Dept. of Economics, 2001.

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17

Dennis, Richard. Specifying and estimating new Keynesian models with instrument rules and optimal monetary policies. Federal Reserve Bank of San Francisco, 2004.

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18

Wickens, M. R. The estimation of linear models with future rational expectations by efficient and instrumental variable methods. Department of Economics, University of Southampton, 1985.

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19

Hildreth, Andrew K. G. Instruments and measurement error in the estimation of union wage effect for covered members and non-members in Great Britain. ESRC Research Centre on Micro-social Change, 1997.

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20

Dowdy, Penny. Estimation. Crabtree Pub., 2008.

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21

1949-, Gervais Paul, ed. Estimation. Beauchemin, 1997.

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22

Heijden, F. van der, R. P. W. Duin, D. de Ridder, and D. M. J. Tax. Classification, Parameter Estimation and State Estimation. John Wiley & Sons, Ltd, 2004. http://dx.doi.org/10.1002/0470090154.

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23

de Ridder, Dick, David M. J. Tax, Bangjun Lei, et al. Classification, Parameter Estimation and State Estimation. John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781119152484.

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24

Graham, Pat. Instrument. Chronicle Books, 2011.

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25

Ghosh, Malay, Nitis Mukhopadhyay, and Pranab K. Sen. Sequential Estimation. John Wiley & Sons, Inc., 1997. http://dx.doi.org/10.1002/9781118165928.

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26

Fourdrinier, Dominique, William E. Strawderman, and Martin T. Wells. Shrinkage Estimation. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02185-6.

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27

Mislick, Gregory K., and Daniel A. Nussbaum. Cost Estimation. John Wiley & Sons, Inc, 2015. http://dx.doi.org/10.1002/9781118802342.

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28

Ross, Gavin J. S. Nonlinear Estimation. Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4612-3412-8.

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29

Ross, Gavin J. S. Nonlinear estimation. Springer-Verlag, 1990.

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30

Ghosh, Malay. Sequential estimation. Wiley, 1997.

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31

Maruyama, Yuzo, Tatsuya Kubokawa, and William E. Strawderman. Stein Estimation. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-6077-4.

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32

Lochner, Lance. Estimating and testing non-linear models using instrumental variables. National Bureau of Economic Research, 2011.

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33

United States. National Aeronautics and Space Administration., ed. Satellite laser ranging and gravity field modeling accuracy. National Aeronautics and Space Administration, 1990.

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34

Lybeck, Johan A. Penningmarknadens instrument. Rabén & Sjögren, 1988.

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35

L, Taylor Richard. Instrument flying. 3rd ed. Macmillan, 1986.

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36

Instrument Variable Estimation of Misspecified Models. Creative Media Partners, LLC, 2023.

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37

Rotemberg, Julio, and Sloan School of Management. Instrument Variable Estimation of Misspecified Models. Creative Media Partners, LLC, 2018.

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38

Poskitt, D. S., and C. L. Skeels. Inference in the Presence of Weak Instruments: A Selected Survey. Now Publishers, 2013.

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39

Thompson, Jeffrey Ray. Estimation of Generalized simple measurement error models with instrumental variables. 2003.

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40

Effects of window size and shape on accuracy of subpixel centroid estimation of target images. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1993.

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41

Theoretical and experimental investigations of sensor location for optimal aeroelastic system state estimation. NASA Dryden Flight Research Center, 1985.

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42

Kenny, Paul D. Populism and Patronage. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198807872.003.0009.

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This chapter tests the theory through a quantitative analysis of populist electoral success. It conducts a statistical analysis of the performance of populist candidates in all democracies across Asia, Europe, the, and Australasia. This analysis shows that as subnational units gain autonomy, the electoral performance of populist politicians is enhanced in patronage democracies but not in non-patronage democracies. This finding suggests that there exists a pathway to populist success that is distinctive to patronage democracies. To deal with the high number of cases in which populists receive n

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43

Morozova, Katerina. Parameter Estimation on Hybrid Zenith Camera and Gravimeter Data for Integrated Gravity Field and Geoid Determination Based on Spherical-cap-harmonics Modelling. RTU Press, 2022. http://dx.doi.org/10.7250/9789934228179.

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The main objective of the Doctoral Thesis is to develop a new solution for the Earth gravity field determination based on spherical-cap-harmonic modelling, using both vertical deflection and gravimetric hybrid data. The values of vertical deflections caused by gravity field anomaly are computed using digital zenith camera. It is a new kind of astrogeodetic instrument employing recent advancements in several areas of technology. The intention is to use vertical deflections along with GNSS/levelling and gravity data to improve the local quasi-geoid model including both physical and geometrical d

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44

Almeida, Rita K., Lourenço S. Paz, and Jennifer P. Poole. Precarization or protection? The impact of trade and labour policies on informality. 47th ed. UNU-WIDER, 2021. http://dx.doi.org/10.35188/unu-wider/2021/985-3.

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Several episodes of market-oriented reforms in developing countries have been accompanied by a significant rise in work outside of the formal economy. This paper investigates whether the impact of increased exposure to trade on formal employment is mediated by the strength of labour regulations. We rely on data from the Brazilian Census which provides information on workers’ demographics and employment, including job formality status. Our estimation strategy exploits quasi-exogenous changes in industry-level real exchange rates to explore the likelihood of informality across employers exposed

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45

Lee, Christoph I. Decision Rules for Bone Densitometry Testing. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780190223700.003.0034.

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This chapter, found in the bone, joint, and extremity pain section of the book, provides a succinct synopsis of a key study examining the use of decision rules for bone densitometry testing to mitigate risks for fractures associated with osteoporosis. This summary outlines the study methodology and design, major results, limitations and criticisms, related studies and additional information, and clinical implications. Researchers found that the Osteoporosis Risk Assessment Instrument and Simple Calculated Osteoporosis Risk Estimation decision rules performed the best for targeting dual-energy

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46

VAUGHN, STECK. Estimation Grade 4 (Estimation). Steck Vaughn, 1999.

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47

VAUGHN, STECK. Estimation Grade 1 (Estimation). Steck Vaughn, 1999.

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48

VAUGHN, STECK. Estimation Grade 5 (Estimation). Steck Vaughn, 1999.

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49

VAUGHN, STECK. Estimation Grade 2 (Estimation). Steck Vaughn, 1999.

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50

Cheyne, Douglas O., and Andrew C. Papanicolaou. Magnetoencephalography and Magnetic Source Imaging. Edited by Andrew C. Papanicolaou. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199764228.013.6.

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This chapter focuses on magnetoencephalography (MEG) used in brain imaging and its use in localizing the brain sources of externally recorded spontaneous activity and stimulus and task –induced activation. The chapter first describes the instruments used for recording the magnetoencephalographic signals and the neurogenesis of these signals. It then considers proposed solutions for the “inverse” problem and describes approaches for MEG source estimation, including a method that specifies only one or many equivalent current dipoles. It also explains the signal source-localizing technique known

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