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Books on the topic 'Error Correction Model (ECM)'

Author: Grafiati

Published: 4 June 2021

Last updated: 3 February 2022

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1

Harnett, I. R. An error correction model of US consumption expenditure. London: Bank of England, 1988.

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2

Thirtle, C. Testing the induced innovation hypothesis : an error correction model. Reading, England: University of Reading, Dept. of Economics, 1995.

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3

Salmon, Mark H. Error correction models, co-integration and the internal model principle. Coventry: University of Warwick Department of Economics, 1987.

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4

Salmon, Mark H. Error correction models, co-intergration and the internal model principle. Coventry: University of Warwick, Dept. of Economics, 1988.

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5

Liu, Ying. Modelling mortgage rate changes with a smooth transition error-correction model. [Ottawa]: Bank of Canada, 2001.

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6

Santis, Roberto De. An error correction monetary model explaining the inflationary process in Turkey. Coventry: Warwick University, Department of Economics, 1993.

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7

Makroökonometrische Anpassungsanalyse im Vector-Error-Correction-Model (VECM): Untersuchungen an ausgewählten Arbeitsmarkten. Frankfurt am Main: P. Lang, 2003.

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8

Cipollini, Andrea. Testing for government intertemporal solvency: A smooth transition error correction model approach. Bristol: University of Bristol, Department of Economics, 1998.

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9

Huang, Guobo. Money demand in China in the reform period: An error correction model. Kowloon, Hong Kong: City Polytechnic of Hong Kong, Department of Economics and Finance, 1993.

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10

Sarantis, Nicholas. Unobserved components in an error-correction model of consumption for Southern European countries. Kingston upon Thames: Kingston University, Faculty of Human Sciences, 1998.

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11

Galindo-Paliza, Luis Miguel. A long term consumption model for Mexico with cointegration and error correction, 1960-1988. [s.l.]: typescript, 1991.

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12

Easaw, Joshy. Government expenditure and electoral security: An error correction model of UK government expenditure, 1979-1992. Leicester: University of Leicester, Department of Economics, 1997.

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13

Okumu, Luke J. Fiscal policy and private investment in South Africa: An application of an error correction model approach. [s.l.]: typescript, 1996.

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14

Lo, Ingrid. A structural error-correction model of best prices and depths in the foreign exchange limit order market. Ottawa: Bank of Canada, 2006.

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15

Lo, Ingrid. A structural error-correction model of best prices and depths in the foreign exchange limit order market. Ottawa: Bank of Canada, 2006.

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16

Lloyd, Tim. Testing a capital pricing model of land values: Cointegration and error correction in a vector auto-regression. Nottingham: Department of Economics, University of Nottingham, 1992.

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17

Lo, Ingrid. A structural error-correction model of best prices and depths in the foreign exchange limit order market. Ottawa, Ont: Bank of Canada, 2006.

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18

Muscatelli, V. Anton. Demand and supply factors in the determination of nie exports: A simultaneous error-correction model for Hong Kong. Glasgow: University of Glasgow, Department of Political Economy, 1991.

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19

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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20

Lantarsih, Retno. Analisis permintaan dan penawaran beras di Indonesia dengan pendekatan error correction model: Laporan akhir kegiatan penelitian hibah disertasi doktor. Yogyakarta]: Lembaga Penelitian dan Pengabdian Kepada Masyarakat, Universitas Gadjah Mada, 2010.

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21

Kurniyati, Yuli. Alokasi dan distribusi anggaran pemerintah daerah Tingkat II untuk sektor pendidikan serta pengaruhnya terhadap pertumbuhan ekonomi regional: Aplikasi Vector Error Correction Model pada kabupaten dan kota di Propinsi Daerah Istimewa Yogyakarta, 1990-2006 : laporan penelitian dosen muda. Yogyakarta: Fakultas Ekonomi, Universitas Proklamasi 45, 2008.

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22

Pengembangan model dinamik Error Correction Model (ECM) untuk analisis ketahanan fiskal di Indonesia: Laporan hasil penelitian. Yogyakarta: Fakultas Ekonomi, Jurusan Ilmu Ekonomi dan Studi Pembangunan, Universitas Islam Indonesia, 2007.

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23

Pengaruh volume perdagangan dan return terhadap bid-ask spread dengan error correction model (ECM): Studi empiris di Bursa Efek Jakarta : penelitian dosen muda. [Yogyakarta]: Fakultas Ekonomi, Universitas Muhammadiyah Yogyakarta, 2006.

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24

Pevehouse, Jon, and Jason D. Brozek. Time‐Series Analysis. Edited by Janet M. Box-Steffensmeier, Henry E. Brady, and David Collier. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780199286546.003.0019.

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This article discusses time-series methods such as simple time-series regressions, ARIMA models, vector autoregression (VAR) models, and unit root and error correction models (ECM). It specifically presents a brief history of time-series analysis before moving to a review of the basic time-series model. It then describes the stationary models in univariate and multivariate analyses. The nonstationary models of each type are addressed. In addition, various issues regarding the analysis of time series including data aggregation and temporal stability are considered. Before concluding, the article briefly reports the time-series techniques in the context of panel data. In general, time-series analysis can help improve the understanding of the political world.

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25

Duho, Yao Hopeson. The demand for international reserves: An error correction model for Ghana. 1992.

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26

Fund, International Monetary, ed. Determinants of growth in an error-correction model for El Salvador. Washington, D.C: International Monetary Fund, 1998.

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27

Pudney, Stephen. The effect of under-reporting in statistical models of criminal activity: Estimation of an error correction model with measurement error. University of Leicester, Public Sector Economics Research Centre, 1997.

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28

Ola Kristensson, Per. Statistical Language Processing for Text Entry. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198799603.003.0003.

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In this chapter we explain how methods from statistical language processing serve as a foundation for the design of probabilistic text entry methods and error correction methods. We review concepts from information theory and language modelling and explain how to design a statistical decoder for text entry—a generative probabilistic model based on the token-passing paradigm. We then present five example applications of statistical language processing for text entry: correcting typing mistakes, enabling fast typing on a smartwatch, improving prediction in augmentative and alternative communication, enabling dwell-free eye-typing and intelligently supporting error correction of probabilistic text entry. We then discuss the limitations of the models presented in this chapter and highlight the importance of establishing solution principles based on engineering science and empirical research in order to guide the design of probabilistic text entry.

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29

Smith, Ronnie W., and D. Richard Hipp. Spoken Natural Language Dialog Systems. Oxford University Press, 1995. http://dx.doi.org/10.1093/oso/9780195091878.001.0001.

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As spoken natural language dialog systems technology continues to make great strides, numerous issues regarding dialog processing still need to be resolved. This book presents an exciting new dialog processing architecture that allows for a number of behaviors required for effective human-machine interactions, including: problem-solving to help the user carry out a task, coherent subdialog movement during the problem-solving process, user model usage, expectation usage for contextual interpretation and error correction, and variable initiative behavior for interacting with users of differing expertise. The book also details how different dialog problems in processing can be handled simultaneously, and provides instructions and in-depth result from pertinent experiments. Researchers and professionals in natural language systems will find this important new book an invaluable addition to their libraries.

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