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Terrence Kinal

Personal Details

First Name:Terrence
Middle Name:
Last Name:Kinal
Suffix:
RePEc Short-ID:pki266
http://www.albany.edu/~twk58/
Terminal Degree:1976 Department of Economics; University of Minnesota (from RePEc Genealogy)

Affiliation

Department of Economics
University at Albany, State University of New York (SUNY)

Albany, New York (United States)
http://www.albany.edu/econ/
RePEc:edi:dealbus (more details at EDIRC)

Research output

as
Jump to: Articles

Articles

  1. Kinal, Terrence W. & Knight, John L., 1994. "Some Exact Distribution Results for the Partially Restricted Reduced form Estimator," Econometric Theory, Cambridge University Press, vol. 10(1), pages 140-171, March.
  2. Kinal, T & Lahiri, K, 1993. "On the Estimation of Simultaneous-Equations Error-Components Models with an Application to a Model of Developing Country Foreign Trade," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(1), pages 81-92, Jan.-Marc.
  3. Kinal, Terrence, 1991. "A note on the existence of moments of k-class estimators when k is negative," Journal of Econometrics, Elsevier, vol. 48(3), pages 409-410, June.
  4. Kinal, Terrence & Lahiri, Kajal, 1990. "A computational algorithm for multiple equation models with panel data," Economics Letters, Elsevier, vol. 34(2), pages 143-146, October.
  5. Terrence Kinal & Jonathan Ratner, 1986. "A VAR Forecasting Model of a Regional Economy: Its Construction and Comparative Accuracy," International Regional Science Review, , vol. 10(2), pages 113-126, August.
  6. Kinal, Terrence & Lahiri, Kajal, 1985. "On the distribution function of various model selection criteria with stochastic regressors," Economics Letters, Elsevier, vol. 17(1-2), pages 97-101.
  7. Kinal, Terrence & Lahiri, Kajal, 1984. "A Note on "Selection of Regressors."," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 25(3), pages 625-629, October.
  8. Hillier, Grant H & Kinal, Terrence W & Srivastava, V K, 1984. "On the Moments of Ordinary Least Squares and Instrumental Variables Estimators in a General Structural Equation," Econometrica, Econometric Society, vol. 52(1), pages 185-202, January.
  9. Kinal, Terrence & Lahiri, Kajal, 1983. "Specification Error Analysis with Stochastic Regressors," Econometrica, Econometric Society, vol. 51(4), pages 1209-1219, July.
  10. Kinal, Terrence & Lahiri, Kajal, 1981. "Exact sampling distribution of the omitted variable estimator," Economics Letters, Elsevier, vol. 8(2), pages 121-127.
  11. Kinal, Terrence W, 1980. "The Existence of Moments of k-Class Estimators," Econometrica, Econometric Society, vol. 48(1), pages 241-249, January.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Kinal, T & Lahiri, K, 1993. "On the Estimation of Simultaneous-Equations Error-Components Models with an Application to a Model of Developing Country Foreign Trade," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(1), pages 81-92, Jan.-Marc.

    Mentioned in:

    1. On the estimation of simultaneous-equations error-components models with an application to a model of developing country foreign trade (Journal of Applied Econometrics 1993) in ReplicationWiki ()

Articles

  1. Kinal, Terrence W. & Knight, John L., 1994. "Some Exact Distribution Results for the Partially Restricted Reduced form Estimator," Econometric Theory, Cambridge University Press, vol. 10(1), pages 140-171, March.

    Cited by:

    1. Skeels, Christopher L. & Taylor, Larry W., 2014. "Prediction after IV estimation," Economics Letters, Elsevier, vol. 122(3), pages 420-422.

  2. Kinal, T & Lahiri, K, 1993. "On the Estimation of Simultaneous-Equations Error-Components Models with an Application to a Model of Developing Country Foreign Trade," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(1), pages 81-92, Jan.-Marc.

    Cited by:

    1. Margarita Katsimi & Thomas Moutos, 2006. "Inequality and the US Import Demand Function," CESifo Working Paper Series 1827, CESifo.
    2. Anderton, Robert & Skudelny, Frauke & Baltagi, Badi H. & Sousa, Nuno, 2005. "Intra- and extra-euro area import demand for manufactures," Working Paper Series 532, European Central Bank.
    3. Gopinath Munisamy & Pick Daniel & Li Yonghai, 2003. "Concentration and Innovation in the U.S. Food Industries," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 1(1), pages 1-23, August.
    4. Laura Magazzini & Fabio Pammolli & Nicola Carmine Salerno, 2006. "La spesa farmaceutica pubblica - Analisi degli ultimi anni e indicazioni per una nuova politica economica," Working Papers CERM 03-2006, Competitività, Regole, Mercati (CERM).
    5. Laszlo, Sonia, 2008. "Education, Labor Supply, and Market Development in Rural Peru," World Development, Elsevier, vol. 36(11), pages 2421-2439, November.
    6. Kajal Lahiri & Jianting Hu, 2021. "Productive efficiency in processing social security disability claims: a look back at the 1989–95 surge," Empirical Economics, Springer, vol. 60(1), pages 419-457, January.
    7. Sugata Ghosh & Iannis A. Mourmouras & Sarmistha Pal & Ivan Paya, 2003. "On Public Investment, the Real Exchange Rate and Growth: Some Empirical Evidence from the UK and the USA," Manchester School, University of Manchester, vol. 71(3), pages 242-264, June.
    8. Vickner, Steven S. & Davies, Stephen P., 1999. "Estimating Market Power And Pricing Conduct In A Product-Differentiated Oligopoly: The Case Of The Domestic Spaghetti Sauce Industry," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 31(1), pages 1-13, April.
    9. Nadezhda Ivanova, 2007. "Estimation of the Equilibrium Real Exchange Rate in Russia: Trade-Balance Approach," Working Papers w0102, New Economic School (NES).
    10. Sara Barcenilla-Visús & Carmen López-Pueyo, 2000. "Macroeconomic competitiveness in the Europe of the Twelve: An application to 1969–93," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 6(4), pages 597-618, November.
    11. Gopinath, Munisamy & Pick, Daniel H. & Li, Yonghai, 2002. "Does Industrial Concentration Raise Productivity In Food Industries?," 2002 Annual Meeting, July 28-31, 2002, Long Beach, California 36634, Western Agricultural Economics Association.
    12. Pinka Chatterji & Dohyung Kim & Kajal Lahiri, 2014. "Birth Weight And Academic Achievement In Childhood," Health Economics, John Wiley & Sons, Ltd., vol. 23(9), pages 1013-1035, September.
    13. Nadezhda Ivanova, 2007. "Estimation of the Equilibrium Real Exchange Rate in Russia: Trade-Balance Approach," Working Papers w0102, Center for Economic and Financial Research (CEFIR).
    14. Davies, Stephen P. & Erickson, Kenneth W. & Vickner, Steven S. & Hoag, Dana L. & Nehring, Richard F., 2005. "An Error-Components Three-Stage Least-Squares Model of Investment Allocation by Farm Households," 2005 Annual meeting, July 24-27, Providence, RI 19249, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    15. Fabio Pammolli & Nicola Carmine Salerno, 2008. "Occupazione, produttività e demografia: le sfide per la crescita del Mezzogiorno - Riforme strutturali per dare basi al federalismo," Working Papers CERM 02-2008, Competitività, Regole, Mercati (CERM).
    16. Mário Jorge Mendonça & Paulo R. A. Loureiro & Antônio Nascimento & Roberto Ellery, 2021. "Assessment of the effect of broadband expansion on the economy reviewed," Review of Development Economics, Wiley Blackwell, vol. 25(4), pages 2414-2432, November.
    17. Ghassan, Hassan B., 2001. "Estimation Robuste des Equations d’Importation à Contamination Ponctuelle [Robust estimation of the Equations of Punctual contaminated Imports]," MPRA Paper 56429, University Library of Munich, Germany, revised 28 Sep 2001.

  3. Kinal, Terrence & Lahiri, Kajal, 1990. "A computational algorithm for multiple equation models with panel data," Economics Letters, Elsevier, vol. 34(2), pages 143-146, October.

    Cited by:

    1. Badi H. Baltagi & Alain Pirotte, 2010. "Seemingly Unrelated Regressions with Spatial Error Components," Center for Policy Research Working Papers 125, Center for Policy Research, Maxwell School, Syracuse University.
    2. Mário Jorge Mendonça & Paulo R. A. Loureiro & Antônio Nascimento & Roberto Ellery, 2021. "Assessment of the effect of broadband expansion on the economy reviewed," Review of Development Economics, Wiley Blackwell, vol. 25(4), pages 2414-2432, November.

  4. Terrence Kinal & Jonathan Ratner, 1986. "A VAR Forecasting Model of a Regional Economy: Its Construction and Comparative Accuracy," International Regional Science Review, , vol. 10(2), pages 113-126, August.

    Cited by:

    1. Thomas B. Fomby & William C. Gruben & James G. Hoehn, 1984. "Some time series methods of forecasting the Texas economy," Working Papers 8402, Federal Reserve Bank of Dallas.
    2. Rangan Gupta & Sonali Das, 2008. "Spatial Bayesian Methods of Forecasting House Prices in Six Metropolitan Areas of South Africa," Working Papers 200813, University of Pretoria, Department of Economics.
    3. Jeff B. Cromwell & Michael J. Hannan, 1993. "The Utility of Impulse Response Functions in Regional Analysis: Some Critical Issues," International Regional Science Review, , vol. 15(2), pages 199-222, August.
    4. Susi Gorbey & Doug James & Jacques Poot, 1999. "Population Forecasting with Endogenous Migration: An Application to Trans-Tasman Migration," International Regional Science Review, , vol. 22(1), pages 69-101, April.
    5. Rangan Gupta, 2009. "Bayesian Methods Of Forecasting Inventory Investment," South African Journal of Economics, Economic Society of South Africa, vol. 77(1), pages 113-126, March.
    6. Pop, Raluca-Elena, 2017. "A small-scale DSGE-VAR model for the Romanian economy," Economic Modelling, Elsevier, vol. 67(C), pages 1-9.
    7. Fullerton, Thomas M., Jr. & Ceballos, Alejandro & Walke, Adam G., 2015. "Short-Term Forecasting Analysis for Municipal Water Demand," MPRA Paper 78259, University Library of Munich, Germany, revised 04 Aug 2015.
    8. John E. Connaughton & Ronald A. Madsen, 1990. "A Comparison of Regional Forecasting Techniques," The Review of Regional Studies, Southern Regional Science Association, vol. 20(3), pages 4-11, Fall.
    9. Won Lee Kyung & James Schmidt & George Rejda, 1999. "Unemployment Insurance and State Economic Activity," International Economic Journal, Taylor & Francis Journals, vol. 13(3), pages 77-95.
    10. Ashwin Madhou & Tayushma Sewak & Imad Moosa & Vikash Ramiah, 2017. "GDP nowcasting: application and constraints in a small open developing economy," Applied Economics, Taylor & Francis Journals, vol. 49(38), pages 3880-3890, August.
    11. Rangan Gupta & Sonali Das, 2008. "Predicting Downturns in the US Housing Market: A Bayesian Approach," Working Papers 200821, University of Pretoria, Department of Economics.
    12. John S. Gruidl & Glen C. Pulver, 1991. "A Dynamic Analysis Of Net Migration And State Employment Change," The Review of Regional Studies, Southern Regional Science Association, vol. 21(1), pages 21-38, Spring.
    13. Gary L. Shoesmith, 1990. "The Forecasting Accuracy of Regional Bayesian VAR Models with Alternative National Variable Choices," International Regional Science Review, , vol. 13(3), pages 257-269, December.
    14. Rangan Gupta & Alain Kabundi, 2008. "Forecasting Macroeconomic Variables in a Small Open Economy: A Comparison between Small- and Large-Scale Models," Working Papers 200830, University of Pretoria, Department of Economics.
    15. Carol Taylor West, 1995. "Regional Economic Forecasting: Keeping the Crystal Ball Rolling," International Regional Science Review, , vol. 18(2), pages 195-200, April.
    16. Richard M. Todd, 1984. "Improving economic forecasting with Bayesian vector autoregression," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 8(Fall).
    17. Sarantis, Nicholas & Swales, Caspar, 1999. "Modelling and forecasting regional service employment in Great Britain1," Economic Modelling, Elsevier, vol. 16(3), pages 429-453, August.

  5. Kinal, Terrence & Lahiri, Kajal, 1985. "On the distribution function of various model selection criteria with stochastic regressors," Economics Letters, Elsevier, vol. 17(1-2), pages 97-101.

    Cited by:

    1. Sin, Chor-Yiu & White, Halbert, 1996. "Information criteria for selecting possibly misspecified parametric models," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 207-225.

  6. Kinal, Terrence & Lahiri, Kajal, 1984. "A Note on "Selection of Regressors."," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 25(3), pages 625-629, October.

    Cited by:

    1. A. Girardi & R. Golinelli & C. Pappalardo, 2014. "The Role of Indicator Selection in Nowcasting Euro Area GDP in Pseudo Real Time," Working Papers wp919, Dipartimento Scienze Economiche, Universita' di Bologna.
    2. Lorenzo Bencivelli & Massimiliano Marcellino & Gianluca Moretti, 2017. "Forecasting economic activity by Bayesian bridge model averaging," Empirical Economics, Springer, vol. 53(1), pages 21-40, August.
    3. Luc Anselin, 1988. "Model Validation in Spatial Econometrics: A Review and Evaluation of Alternative Approaches," International Regional Science Review, , vol. 11(3), pages 279-316, December.
    4. Jeong, Jinook, 2006. "Bootstrap Tests Based on Goodness-of-Fit Measures for Nonnested Hypotheses in Regression Models," MPRA Paper 9789, University Library of Munich, Germany, revised Mar 2007.
    5. Larry W. Taylor, 2009. "Penalized‐R2 Criteria For Model Selection," Manchester School, University of Manchester, vol. 77(6), pages 699-717, December.

  7. Hillier, Grant H & Kinal, Terrence W & Srivastava, V K, 1984. "On the Moments of Ordinary Least Squares and Instrumental Variables Estimators in a General Structural Equation," Econometrica, Econometric Society, vol. 52(1), pages 185-202, January.

    Cited by:

    1. Poskitt, D.S. & Skeels, C.L., 2007. "Approximating the distribution of the two-stage least squares estimator when the concentration parameter is small," Journal of Econometrics, Elsevier, vol. 139(1), pages 217-236, July.
    2. Christopher L. Skeels & Frank Windmeijer, 2016. "On the Stock-Yogo Tables," Bristol Economics Discussion Papers 16/679, School of Economics, University of Bristol, UK, revised 25 Nov 2016.
    3. Yong Bao & Aman Ullah, 2021. "Analytical Finite Sample Econometrics: From A. L. Nagar to Now," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 17-37, December.
    4. John Chao & Norman R. Swanson, 2003. "Alternative Approximations of the Bias and MSE of the IV Estimator under Weak Identification with an Application to Bias Correction," Cowles Foundation Discussion Papers 1418, Cowles Foundation for Research in Economics, Yale University.
    5. Joe Hirschberg & Jenny Lye, 2017. "Alternative Graphical Representations of the Confidence Intervals for the Structural Coefficient from Exactly Identified Two-Stage Least Squares," Department of Economics - Working Papers Series 2026, The University of Melbourne.
    6. Grant Hillier & Raymond Kan & Xiaolu Wang, 2008. "Computationally efficient recursions for top-order invariant polynomials with applications," CeMMAP working papers CWP07/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Keisuke Hirano & Jack R. Porter, 2015. "Location Properties of Point Estimators in Linear Instrumental Variables and Related Models," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 720-733, December.
    8. Matthew C. Harding & Jerry Hausman & Christopher Palmer, 2015. "Finite sample bias corrected IV estimation for weak and many instruments," CeMMAP working papers CWP41/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    9. Fernanda Peixe & Alastair Hall & Kostas Kyriakoulis, 2006. "The Mean Squared Error of the Instrumental Variables Estimator When the Disturbance Has an Elliptical Distribution," Econometric Reviews, Taylor & Francis Journals, vol. 25(1), pages 117-138.
    10. Skeels, Christopher L. & Taylor, Larry W., 1995. "On a simultaneous equations pre-test estimator," Journal of Econometrics, Elsevier, vol. 68(2), pages 269-286, August.
    11. D. S. Poskitt & C. L. Skeels, 2004. "Approximating the Distribution of the Instrumental Variables Estimator when the Concentration Parameter is Small," Monash Econometrics and Business Statistics Working Papers 19/04, Monash University, Department of Econometrics and Business Statistics.
    12. John Chao, 2000. "On the Bias and MSE of the IV Estimator Under Weak Identification," Econometric Society World Congress 2000 Contributed Papers 1622, Econometric Society.
    13. Matthew C. Harding & Jerry Hausman & Christopher Palmer, 2015. "Finite sample bias corrected IV estimation for weak and many instruments," CeMMAP working papers 41/15, Institute for Fiscal Studies.

  8. Kinal, Terrence & Lahiri, Kajal, 1983. "Specification Error Analysis with Stochastic Regressors," Econometrica, Econometric Society, vol. 51(4), pages 1209-1219, July.

    Cited by:

    1. Terrence Kinal & Jonathan Ratner, 1986. "A VAR Forecasting Model of a Regional Economy: Its Construction and Comparative Accuracy," International Regional Science Review, , vol. 10(2), pages 113-126, August.
    2. A. Girardi & R. Golinelli & C. Pappalardo, 2014. "The Role of Indicator Selection in Nowcasting Euro Area GDP in Pseudo Real Time," Working Papers wp919, Dipartimento Scienze Economiche, Universita' di Bologna.
    3. Priscilla Avegliano & Jaime Simão Sichman, 2023. "Equation-Based Versus Agent-Based Models: Why Not Embrace Both for an Efficient Parameter Calibration?," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 26(4), pages 1-3.
    4. Giuseppe De Luca & Jan R. Magnus & Franco Peracchi, 2015. "On the ambiguous consequences of omitting variables," EIEF Working Papers Series 1505, Einaudi Institute for Economics and Finance (EIEF), revised May 2015.
    5. Giuseppe De Luca & Jan R. Magnus & Franco Peracchi, 2018. "Balanced Variable Addition In Linear Models," Journal of Economic Surveys, Wiley Blackwell, vol. 32(4), pages 1183-1200, September.
    6. Adrian C. Darnell, 1994. "A Dictionary Of Econometrics," Books, Edward Elgar Publishing, number 118.

  9. Kinal, Terrence W, 1980. "The Existence of Moments of k-Class Estimators," Econometrica, Econometric Society, vol. 48(1), pages 241-249, January.

    Cited by:

    1. Stinebrickner Ralph & Stinebrickner Todd R., 2008. "The Causal Effect of Studying on Academic Performance," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 8(1), pages 1-55, June.
    2. Russell Davidson & James MacKinnon, 2006. "Moments Of Iv And Jive Estimators," Departmental Working Papers 2006-22, McGill University, Department of Economics.
    3. Luciano de Castro & Antonio F. Galvao & David M. Kaplan & Xin Liu, 2017. "Smoothed GMM for quantile models," Papers 1707.03436, arXiv.org, revised Feb 2018.
    4. Kaplan, David M. & Sun, Yixiao, 2012. "Smoothed Estimating Equations For Instrumental Variables Quantile Regression," University of California at San Diego, Economics Working Paper Series qt888657tp, Department of Economics, UC San Diego.
    5. Patrik Guggenberger, 2005. "Monte-carlo evidence suggesting a no moment problem of the continuous updating estimator," Economics Bulletin, AccessEcon, vol. 3(13), pages 1-6.
    6. Jondeau, E. & Le Bihan, H., 2003. "ML vs GMM Estimates of Hybrid Macroeconomic Models (With an Application to the New Phillips Curve)," Working papers 103, Banque de France.
    7. Kim, Min Seong & Sun, Yixiao, 2013. "Heteroskedasticity and spatiotemporal dependence robust inference for linear panel models with fixed effects," Journal of Econometrics, Elsevier, vol. 177(1), pages 85-108.
    8. Ram Mudambi & Pietro Navarra & Andrew Delios, 2013. "Government regulation, corruption, and FDI," Asia Pacific Journal of Management, Springer, vol. 30(2), pages 487-511, June.
    9. Hao Hao & Bai Huang & Tae-Hwy Lee, 2022. "Model Averaging Estimation of Panel Data Models with Many Instruments and Boosting," Working Papers 202212, University of California at Riverside, Department of Economics.
    10. Iglesias, Emma M. & Phillips, Garry D.A., 2010. "The bias to order T-Â 2 for the general k-class estimator in a simultaneous equation model," Economics Letters, Elsevier, vol. 109(1), pages 42-45, October.
    11. Roodman, David, 2023. "Large-Scale Education Reform in General Equilibrium: Regression Discontinuity Evidence from India - Comment," I4R Discussion Paper Series 70, The Institute for Replication (I4R).
    12. Hadri, Kaddour & Phillips, Garry D. A., 1999. "The accuracy of the higher order bias approximation for the 2SLS estimator," Economics Letters, Elsevier, vol. 62(2), pages 167-174, February.
    13. Iglesias, Emma M. & Phillips, Garry D.A., 2011. "Almost Unbiased Estimation in Simultaneous Equations Models with Strong and / or Weak Instruments," Cardiff Economics Working Papers E2011/19, Cardiff University, Cardiff Business School, Economics Section.
    14. Poskitt, D.S. & Skeels, C.L., 2007. "Approximating the distribution of the two-stage least squares estimator when the concentration parameter is small," Journal of Econometrics, Elsevier, vol. 139(1), pages 217-236, July.
    15. Christopher L. Skeels & Frank Windmeijer, 2016. "On the Stock-Yogo Tables," Bristol Economics Discussion Papers 16/679, School of Economics, University of Bristol, UK, revised 25 Nov 2016.
    16. Daniel Wilhelm, 2014. "Optimal bandwidth selection for robust generalized method of moments estimation," CeMMAP working papers CWP15/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    17. Saman Banafti & Tae-Hwy Lee, 2022. "Inferential Theory for Granular Instrumental Variables in High Dimensions," Papers 2201.06605, arXiv.org, revised Sep 2023.
    18. Susan Chen & Le Wang, 2021. "SNAP participation, diet quality, and obesity: robust evidence with estimation techniques without external instrumental variables," Empirical Economics, Springer, vol. 61(3), pages 1641-1667, September.
    19. W. Robert Reed, 2014. "On the Practice of Lagging Variables To Avoid Simultaneity," Working Papers in Economics 14/18, University of Canterbury, Department of Economics and Finance.
    20. Auld, M. Christopher & Grootendorst, Paul, 2004. "An empirical analysis of milk addiction," Journal of Health Economics, Elsevier, vol. 23(6), pages 1117-1133, November.
    21. Yong Bao & Aman Ullah, 2021. "Analytical Finite Sample Econometrics: From A. L. Nagar to Now," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 17-37, December.
    22. Yuriy Gorodnichenko, 2007. "Using Firm Optimization to Evaluate and Estimate Returns to Scale," NBER Working Papers 13666, National Bureau of Economic Research, Inc.
    23. Liu-Evans, Gareth & Phillips, Garry D.A., 2018. "On the use of higher order bias approximations for 2SLS and k-class estimators with non-normal disturbances and many instruments," Econometrics and Statistics, Elsevier, vol. 6(C), pages 90-105.
    24. Fallaw Sowell & Nandana Sengupta, 2021. "Inference for the Linear IV Model Ridge Estimator Using Training and Test Samples," Stats, MDPI, vol. 4(3), pages 1-20, September.
    25. Young, Alwyn, 2022. "Consistency without inference: instrumental variables in practical application," LSE Research Online Documents on Economics 115011, London School of Economics and Political Science, LSE Library.
    26. Phillips, Garry D. A., 2000. "An alternative approach to obtaining Nagar-type moment approximations in simultaneous equation models," Journal of Econometrics, Elsevier, vol. 97(2), pages 345-364, August.
    27. Xin Liu, 2019. "Averaging estimation for instrumental variables quantile regression," Papers 1910.04245, arXiv.org.
    28. Amir Amel†Zadeh, 2011. "The Return of the Size Anomaly: Evidence from the German Stock Market," European Financial Management, European Financial Management Association, vol. 17(1), pages 145-182, January.
    29. David M. Kaplan, 2019. "Unbiased Estimation as a Public Good," Working Papers 1911, Department of Economics, University of Missouri.
    30. Burkhard Raunig, 2016. "Background Indicators," Working Papers 204, Oesterreichische Nationalbank (Austrian Central Bank).
    31. Jegadeesh, Narasimhan & Noh, Joonki & Pukthuanthong, Kuntara & Roll, Richard & Wang, Junbo, 2019. "Empirical tests of asset pricing models with individual assets: Resolving the errors-in-variables bias in risk premium estimation," Journal of Financial Economics, Elsevier, vol. 133(2), pages 273-298.
    32. Rault, Christophe, 2000. "Non-causality in VAR-ECM models with purely exogenous long-run paths," Economics Letters, Elsevier, vol. 66(1), pages 7-15, January.
    33. John C. Chao & Peter C.B. Phillips, 1996. "Bayesian Posterior Distributions in Limited Information Analysis of the Simultaneous Equations Model Using the Jeffreys Prior," Cowles Foundation Discussion Papers 1137, Cowles Foundation for Research in Economics, Yale University.
    34. Keisuke Hirano & Jack R. Porter, 2015. "Location Properties of Point Estimators in Linear Instrumental Variables and Related Models," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 720-733, December.
    35. McAvinchey, I. & McCausland, W.D., 2007. "The Euro, income disparity and monetary union," Journal of Policy Modeling, Elsevier, vol. 29(6), pages 869-877.
    36. Li, Haizheng & Zax, Jeffrey S., 2003. "Labor supply in urban China," Journal of Comparative Economics, Elsevier, vol. 31(4), pages 795-817, December.
    37. DiTraglia, Francis J., 2016. "Using invalid instruments on purpose: Focused moment selection and averaging for GMM," Journal of Econometrics, Elsevier, vol. 195(2), pages 187-208.
    38. Daniel Wilhelm, 2014. "Optimal bandwidth selection for robust generalized method of moments estimation," CeMMAP working papers 15/14, Institute for Fiscal Studies.
    39. Phillip, Garry & Xu, Yongdeng, 2016. "Almost Unbiased Variance Estimation in Simultaneous Equation Models," Cardiff Economics Working Papers E2016/10, Cardiff University, Cardiff Business School, Economics Section.
    40. Young, Alwyn, 2022. "Consistency without Inference: Instrumental Variables in Practical Application," European Economic Review, Elsevier, vol. 147(C).
    41. Patrik Guggenberger, 2006. "Finite-Sample Evidence Suggesting a Heavy Tail Problem of the Generalized Empirical Likelihood Estimator, accepted for publication, Econometric Reviews," UCLA Economics Online Papers 371, UCLA Department of Economics.
    42. Chao, J. C. & Phillips, P. C. B., 1998. "Posterior distributions in limited information analysis of the simultaneous equations model using the Jeffreys prior," Journal of Econometrics, Elsevier, vol. 87(1), pages 49-86, August.
    43. D. S. Poskitt & C. L. Skeels, 2004. "Approximating the Distribution of the Instrumental Variables Estimator when the Concentration Parameter is Small," Monash Econometrics and Business Statistics Working Papers 19/04, Monash University, Department of Econometrics and Business Statistics.
    44. Phillips, Garry D.A. & Liu-Evans, Gareth, 2016. "Approximating and reducing bias in 2SLS estimation of dynamic simultaneous equation models," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 734-762.
    45. Graham Elliott & Nikolay Kudrin & Kaspar Wuthrich, 2022. "The Power of Tests for Detecting $p$-Hacking," Papers 2205.07950, arXiv.org, revised Apr 2024.
    46. Phillips, Garry D.A. & Liu-Evans, Gareth, 2011. "The Robustness of the Higher-Order 2SLS and General k-Class Bias Approximations to Non-Normal Disturbances," Cardiff Economics Working Papers E2011/20, Cardiff University, Cardiff Business School, Economics Section.
    47. Luciano de Castro & Antonio F. Galvao & David M. Kaplan, 2017. "Smoothed instrumental variables quantile regression, with estimation of quantile Euler equations," Working Papers 1710, Department of Economics, University of Missouri, revised 28 Feb 2018.

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Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.