IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to follow this author

Ingmar R. Prucha

This is information that was supplied by Ingmar Prucha in registering through RePEc. If you are Ingmar R. Prucha, you may change this information at the RePEc Author Service. Or if you are not registered and would like to be listed as well, register at the RePEc Author Service. When you register or update your RePEc registration, you may identify the papers and articles you have authored.

Personal Details

First Name:Ingmar
Middle Name:R.
Last Name:Prucha
Suffix:
RePEc Short-ID:ppr355
[This author has chosen not to make the email address public]
http://econweb.umd.edu/~prucha/
College Park, Maryland (United States)
http://www.bsos.umd.edu/econ/

: 301-405-3266
301-405-3542
College Park, MD 20742
RePEc:edi:deumdus (more details at EDIRC)
in new window
  1. Guido M. Kuersteiner & Ingmar R. Prucha, 2015. "Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity," CESifo Working Paper Series 5445, CESifo Group Munich.
  2. Gianfranco Piras & Ingmar R. Prucha, 2014. "On the Finite Sample Properties of Pre-Test Estimators of Spatial Models," CESifo Working Paper Series 4725, CESifo Group Munich.
  3. Irani Arraiz & David M. Drukker & Harry H. Kelejian & Ingmar R. Prucha, 2008. "A Spatial Cliff-Ord-type Model with Heteroskedastic Innovations: Small and Large Sample Results," CESifo Working Paper Series 2485, CESifo Group Munich.
  4. Harry H. Kelejian & Ingmar R. Prucha, 2008. "Specification and Estimation of Spatial Autoregressive Models with Autoregressive and Heteroskedastic Disturbances," CESifo Working Paper Series 2448, CESifo Group Munich.
  5. Benedikt M. Pötscher & Ingmar R. Prucha, 1999. "Basic Elements of Asymptotic Theory," Electronic Working Papers 99-001, University of Maryland, Department of Economics.
  6. Harry H. Kelejian & Ingmar R. Prucha, 1999. "On the Asymptotic Distribution of the Moran I Test Statistic with Applications," Electronic Working Papers 99-002, University of Maryland, Department of Economics.
  7. M. Ishaq Nadiri & Ingmar R. Prucha, 1999. "Dynamic Factor Demand Models and Productivity Analysis," Electronic Working Papers 99-005, University of Maryland, Department of Economics.
  8. Harry H. Kelejian & Ingmar R. Prucha, 1997. "A Generalized Spatial Two Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances," Electronic Working Papers 97-002, University of Maryland, Department of Economics, revised Aug 1997.
  9. Harry H. Kelejian & Ingmar R. Prucha, 1997. "Estimation of Spatial Regression Models with Autoregressive Errors by Two Stage Least Squares Procedures: A Serious Problem," Electronic Working Papers 97-001, University of Maryland, Department of Economics.
  10. Prucha, Ingmar R., 1996. "Estimation of a variable rate of depreciation: A dummy variable approach," Discussion Papers, Series II 293, University of Konstanz, Collaborative Research Centre (SFB) 178 "Internationalization of the Economy".
  11. Harry H. Kelejian & Ingmar R. Prucha, 1995. "A Generalized Moments Estimator for the Autoregressive Parameter in a Spatial Model," Electronic Working Papers 95-001, University of Maryland, Department of Economics, revised Mar 1997.
  12. Benedikt M. Potscher & Ingmar R. Prucha, 1994. "On the Formulation of Uniform Laws of Large Numbers: A Truncation Approach," NBER Technical Working Papers 0085, National Bureau of Economic Research, Inc.
  13. M. Ishaq Nadiri & Ingmar R. Prucha, 1993. "Estimation of the Depreciation Rate of Physical and R&D Capital in the U.S. Total Manufacturing Sector," NBER Working Papers 4591, National Bureau of Economic Research, Inc.
  14. Prucha, Ingmar R. & Nadiri, M. Ishaq, 1991. "Endogenous Capital Utilization and Productivity Measurement in Dynamic Factor Demand Models: Theory and an Application to the U.S. Electrical Machinery Industry," Working Papers 91-04, C.V. Starr Center for Applied Economics, New York University.
  15. Ingmar R. Prucha & M. Ishaq Nadiri, 1991. "Endogenous Capital Utilization and Productivity Measurement in Dynamic Factor Demand Models: Theory and an Application to the U.S. Electrical..," NBER Working Papers 3680, National Bureau of Economic Research, Inc.
  16. Nadiri, M. Ishaq & Prucha, Ingmar R., 1989. "Dynamic Factor Demand Models, Productivity Measurement, And Rates Return: Theory And An Empirical Application To The U.S. Bell System," Working Papers 89-15, C.V. Starr Center for Applied Economics, New York University.
  17. M. Ishaq Nadiri & Ingmar R. Prucha, 1989. "Dynamic Factor Demand Models, Productivity Measurement, and Rates of Return: Theory and an Empirical Application to the U.S. Bell System," NBER Working Papers 3041, National Bureau of Economic Research, Inc.
  18. Madan, Dilip B. & Prucha, Ingmar R., 1987. "A Note on the Estimation of Non-Symmetric Dynamic Factor Demand Models," Working Papers 87-25, C.V. Starr Center for Applied Economics, New York University.
  19. Nadiri, M. Ishaq & Prucha, Ingmar R., 1987. "On the Computation of Estimators in Systems with Implicitly Defined Variables," Working Papers 87-40, C.V. Starr Center for Applied Economics, New York University.
  20. Potscher, Benedikt M. & Prucha, Ingmar R., 1987. "A Uniform Law of Large Numbers for Dependent and Heterogeneous Data Process," Working Papers 87-26, C.V. Starr Center for Applied Economics, New York University.
  21. M. Ishaq Nadiri & Ingmar R. Prucha, 1986. "Comparison and Analysis of Productivity Growth and R&D Investment in theElectrical Machinery Industries of the United States and Japan," NBER Working Papers 1850, National Bureau of Economic Research, Inc.
  22. Pierre A. Mohnen & M. Ishaq Nadiri & Ingmar R. Prucha, 1984. "R&D, Production Structure, and Productivity Growth in the U.S., Japaneseand German Manufacturing Sectors," NBER Working Papers 1264, National Bureau of Economic Research, Inc.
  23. Nadiri, M. Ishaq & Prucha, Ingmar R., 1982. "Formulation and Estimation of Dynamic Factor Demand Equations Under Non-Static Expectations: A Finite Horizon Model," Working Papers 82-22, C.V. Starr Center for Applied Economics, New York University.
  1. Guiseppe Arbia & Gianfranco Piras & Ingmar Prucha, 2014. "Special Issue on Spatial Econometrics: An Editorial Note," The Review of Regional Studies, Southern Regional Science Association, vol. 44(3), pages 221-222, Winter.
  2. Piras, Gianfranco & Prucha, Ingmar R., 2014. "On the finite sample properties of pre-test estimators of spatial models," Regional Science and Urban Economics, Elsevier, vol. 46(C), pages 103-115.
  3. David M. Drukker & Peter Egger & Ingmar R. Prucha, 2013. "On Two-Step Estimation of a Spatial Autoregressive Model with Autoregressive Disturbances and Endogenous Regressors," Econometric Reviews, Taylor & Francis Journals, vol. 32(5-6), pages 686-733, August.
  4. Kuersteiner, Guido M. & Prucha, Ingmar R., 2013. "Limit theory for panel data models with cross sectional dependence and sequential exogeneity," Journal of Econometrics, Elsevier, vol. 174(2), pages 107-126.
  5. David M. Drukker & Ingmar Prucha & Rafal Raciborski, 2013. "A command for estimating spatial-autoregressive models with spatial-autoregressive disturbances and additional endogenous variables," Stata Journal, StataCorp LP, vol. 13(2), pages 287-301, June.
  6. David M. Drukker & Ingmar Prucha & Rafal Raciborski, 2013. "Maximum likelihood and generalized spatial two-stage least-squares estimators for a spatial-autoregressive model with spatial-autoregressive disturbances," Stata Journal, StataCorp LP, vol. 13(2), pages 221-241, June.
  7. Giuseppe Arbia & Ingmar R. Prucha, 2013. "Editorial," Spatial Economic Analysis, Taylor & Francis Journals, vol. 8(3), pages 215-217, September.
  8. David M. Drukker & Hua Peng & Ingmar Prucha & Rafal Raciborski, 2013. "Creating and managing spatial-weighting matrices with the spmat command," Stata Journal, StataCorp LP, vol. 13(2), pages 242-286, June.
  9. David M. Drukker & Ingmar R. Prucha, 2013. "On the I -super-2( q ) Test Statistic for Spatial Dependence: Finite Sample Standardization and Properties," Spatial Economic Analysis, Taylor & Francis Journals, vol. 8(3), pages 271-292, September.
  10. Jenish, Nazgul & Prucha, Ingmar R., 2012. "On spatial processes and asymptotic inference under near-epoch dependence," Journal of Econometrics, Elsevier, vol. 170(1), pages 178-190.
  11. Harry Kelejian & Ingmar Prucha, 2010. "Spatial models with spatially lagged dependent variables and incomplete data," Journal of Geographical Systems, Springer, vol. 12(3), pages 241-257, September.
  12. Kelejian, Harry H. & Prucha, Ingmar R., 2010. "Specification and estimation of spatial autoregressive models with autoregressive and heteroskedastic disturbances," Journal of Econometrics, Elsevier, vol. 157(1), pages 53-67, July.
  13. Irani Arraiz & David M. Drukker & Harry H. Kelejian & Ingmar R. Prucha, 2010. "A Spatial Cliff-Ord-Type Model With Heteroskedastic Innovations: Small And Large Sample Results," Journal of Regional Science, Wiley Blackwell, vol. 50(2), pages 592-614.
  14. Jenish, Nazgul & Prucha, Ingmar R., 2009. "Central limit theorems and uniform laws of large numbers for arrays of random fields," Journal of Econometrics, Elsevier, vol. 150(1), pages 86-98, May.
  15. Kelejian, Harry H. & Prucha, Ingmar R., 2007. "HAC estimation in a spatial framework," Journal of Econometrics, Elsevier, vol. 140(1), pages 131-154, September.
  16. Baltagi, Badi H. & Kelejian, Harry H. & Prucha, Ingmar R., 2007. "Analysis of spatially dependent data," Journal of Econometrics, Elsevier, vol. 140(1), pages 1-4, September.
  17. Kelejian, Harry H. & Prucha, Ingmar R., 2007. "The relative efficiencies of various predictors in spatial econometric models containing spatial lags," Regional Science and Urban Economics, Elsevier, vol. 37(3), pages 363-374, May.
  18. Kapoor, Mudit & Kelejian, Harry H. & Prucha, Ingmar R., 2007. "Panel data models with spatially correlated error components," Journal of Econometrics, Elsevier, vol. 140(1), pages 97-130, September.
  19. Harry H. Kelejian & Ingmar R. Prucha & Yevgeny Yuzefovich, 2006. "Estimation Problems In Models With Spatial Weighting Matrices Which Have Blocks Of Equal Elements," Journal of Regional Science, Wiley Blackwell, vol. 46(3), pages 507-515.
  20. Potscher, Benedikt M. & Prucha, Ingmar R., 2004. "Contributions to econometrics, time-series analysis, and systems identification: a Festschrift in honor of Manfred Deistler," Journal of Econometrics, Elsevier, vol. 118(1-2), pages 1-5.
  21. Kelejian, Harry H. & Prucha, Ingmar R., 2004. "Estimation of simultaneous systems of spatially interrelated cross sectional equations," Journal of Econometrics, Elsevier, vol. 118(1-2), pages 27-50.
  22. Kelejian, Harry H. & Prucha, Ingmar R., 2002. "2SLS and OLS in a spatial autoregressive model with equal spatial weights," Regional Science and Urban Economics, Elsevier, vol. 32(6), pages 691-707, November.
  23. H. Kelejian, Harry & Prucha, Ingmar R., 2001. "On the asymptotic distribution of the Moran I test statistic with applications," Journal of Econometrics, Elsevier, vol. 104(2), pages 219-257, September.
  24. Kelejian, Harry H & Prucha, Ingmar R, 1999. "A Generalized Moments Estimator for the Autoregressive Parameter in a Spatial Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 40(2), pages 509-533, May.
  25. Kelejian, Harry H & Prucha, Ingmar R, 1998. "A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 99-121, July.
  26. Nadiri, M. Ishaq & Prucha, Ingmar R., 1997. "Sources of growth of output and convergence of productivity in major OECD countries," International Journal of Production Economics, Elsevier, vol. 52(1-2), pages 133-146, October.
  27. Prucha, Ingmar, 1997. "Estimation of a variable rate of depreciation: a dummy variable approach," Structural Change and Economic Dynamics, Elsevier, vol. 8(3), pages 319-325, August.
  28. Harry H. Kelejian & Ingmar R. Prucha, 1997. "Estimation of Spatial Regression Models with Autoregressive Errors by Two-Stage Least Squares Procedures: A Serious Problem," International Regional Science Review, SAGE Publishing, vol. 20(1-2), pages 103-111, April.
  29. Prucha, Ingmar R. & Nadiri, M. Ishaq, 1996. "Endogenous capital utilization and productivity measurement in dynamic factor demand models Theory and an application to the U.S. electrical machinery industry," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 343-379.
  30. Nadiri, M Ishaq & Prucha, Ingmar R, 1996. "Estimation of the Depreciation Rate of Physical and R&D Capital in the U.S. Total Manufacturing Sector," Economic Inquiry, Western Economic Association International, vol. 34(1), pages 43-56, January.
  31. Prucha, Ingmar R, 1995. "On the Econometric Estimation of a Constant Rate of Depreciation," Empirical Economics, Springer, vol. 20(2), pages 299-302.
  32. Potscher, Benedikt M. & Prucha, Ingmar R., 1994. "Generic uniform convergence and equicontinuity concepts for random functions : An exploration of the basic structure," Journal of Econometrics, Elsevier, vol. 60(1-2), pages 23-63.
  33. Prucha, Ingmar R. & Ishaq Nadiri, M., 1991. "On the specification of accelerator coefficients in dynamic factor demand models," Economics Letters, Elsevier, vol. 35(2), pages 123-129, February.
  34. Nadiri, M. Ishaq & Prucha, Ingmar R., 1990. "Dynamic factor demand models, productivity measurement, and rates of return: Theory and an empirical application to the US Bell System," Structural Change and Economic Dynamics, Elsevier, vol. 1(2), pages 263-289, December.
  35. Potscher, Benedikt M & Prucha, Ingmar R, 1989. "A Uniform Law of Large Numbers for Dependent and Heterogeneous Data Processes," Econometrica, Econometric Society, vol. 57(3), pages 675-683, May.
  36. Madan, Dilip B. & Prucha, Ingmar R., 1989. "A note on the estimation of nonsymmetric dynamic factor demand models," Journal of Econometrics, Elsevier, vol. 42(2), pages 275-283, October.
  37. Prucha, Ingmar R. & Nadiri, M. Ishaq, 1988. "On the computation of estimators in systems with implicity defined variables," Economics Letters, Elsevier, vol. 26(2), pages 141-145.
  38. Prucha, Ingmar R, 1987. "The Variance-Covariance Matrix of the Maximum Likelihood Estimator in Triangular Structural Systems: Consistent Estimation," Econometrica, Econometric Society, vol. 55(4), pages 977-978, July.
  39. Prucha, Ingmar R. & Nadiri, M. Ishaq, 1986. "A comparison of alternative methods for the estimation of dynamic factor demand models under non-static expectations," Journal of Econometrics, Elsevier, vol. 33(1-2), pages 187-211.
  40. Potscher, Benedikt M. & Prucha, Ingmar R., 1986. "A class of partially adaptive one-step m-estimators for the non-linear regression model with dependent observations," Journal of Econometrics, Elsevier, vol. 32(2), pages 219-251, July.
  41. Mohnen, Pierre A. & Nadiri, M. Ishaq & Prucha, Ingmar R., 1986. "R&D, production structure and rates of return in the U.S., Japanese and German manufacturing sectors: A non-separable dynamic factor demand model," European Economic Review, Elsevier, vol. 30(4), pages 749-771, August.
  42. Prucha, Ingmar R, 1985. "Maximum Likelihood and Instrumental Variable Estimation in Simultaneous Equation Systems with Error Components," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 26(2), pages 491-506, June.
  43. Kelejian, Harry H. & Prucha, Ingmar R., 1985. "Independent or uncorrelated disturbances in linear regression : An illustration of the difference," Economics Letters, Elsevier, vol. 19(1), pages 35-38.
  44. Prucha, Ingmar R & Kelejian, Harry H, 1984. "The Structure of Simultaneous Equation Estimators: A Generalization towards Nonnormal Disturbances," Econometrica, Econometric Society, vol. 52(3), pages 721-736, May.
  45. Prucha, Ingmar R, 1984. "On the Asymptotic Efficiency of Feasible Aitken Estimators for Seemingly Unrelated Regression Models with Error Components," Econometrica, Econometric Society, vol. 52(1), pages 203-207, January.
  46. Beaumont, P & Prucha, I & Filatov, V, 1979. "Performance of the LINK System: 1970 versus 1975 Base Year Trade Share Matrix," Empirical Economics, Springer, vol. 4(1), pages 11-41.
  1. David M. Drukker & Hua Peng & Ingmar Prucha & Rafal Raciborski, 2011. "SPPACK: Stata module for cross-section spatial-autoregressive models," Statistical Software Components S457245, Boston College Department of Economics, revised 11 Nov 2015.
  1. M. Ishaq Nadiri & Ingmar Prucha, 2001. "Dynamic Factor Demand Models and Productivity Analysis," NBER Chapters, in: New Developments in Productivity Analysis, pages 103-172 National Bureau of Economic Research, Inc.
  2. M. Ishaq Nadiri & Ingmar R. Prucha, 1991. "Comparison and Analysis of Productivity Growth and R&D Investment in the Electrical Machinery Industries of the United States and Japan," NBER Chapters, in: Productivity Growth in Japan and the United States, pages 109-133 National Bureau of Economic Research, Inc.
NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (1) 2014-09-25. Author is listed
  2. NEP-GEO: Economic Geography (1) 2014-09-25. Author is listed
  3. NEP-ORE: Operations Research (1) 2014-09-25. Author is listed
  4. NEP-URE: Urban & Real Estate Economics (1) 2014-09-25. Author is listed
This author is among the top 5% authors according to these criteria:
  1. Average Rank Score
  2. Number of Distinct Works, Weighted by Simple Impact Factor
  3. Number of Distinct Works, Weighted by Recursive Impact Factor
  4. Number of Distinct Works, Weighted by Number of Authors and Simple Impact Factors
  5. Number of Distinct Works, Weighted by Number of Authors and Recursive Impact Factors
  6. Number of Citations
  7. Number of Citations, Discounted by Citation Age
  8. Number of Citations, Weighted by Simple Impact Factor
  9. Number of Citations, Weighted by Simple Impact Factor, Discounted by Citation Age
  10. Number of Citations, Weighted by Recursive Impact Factor
  11. Number of Citations, Weighted by Recursive Impact Factor, Discounted by Citation Age
  12. Number of Citations, Weighted by Number of Authors
  13. Number of Citations, Weighted by Number of Authors, Discounted by Citation Age
  14. Number of Citations, Weighted by Number of Authors and Simple Impact Factors
  15. Number of Citations, Weighted by Number of Authors and Simple Impact Factors, Discounted by Citation Age
  16. Number of Citations, Weighted by Number of Authors and Recursive Impact Factors
  17. Number of Citations, Weighted by Number of Authors and Recursive Impact Factors, Discounted by Citation Age
  18. h-index
  19. Number of Registered Citing Authors
  20. Number of Registered Citing Authors, Weighted by Rank (Max. 1 per Author)
  21. Number of Journal Pages
  22. Number of Journal Pages, Weighted by Simple Impact Factor
  23. Number of Journal Pages, Weighted by Recursive Impact Factor
  24. Number of Journal Pages, Weighted by Number of Authors
  25. Number of Journal Pages, Weighted by Number of Authors and Simple Impact Factors
  26. Number of Journal Pages, Weighted by Number of Authors and Recursive Impact Factors
  27. Number of Abstract Views in RePEc Services over the past 12 months
  28. Closeness measure in co-authorship network
  29. Breadth of citations across fields
  30. Wu-Index
  31. Euclidian citation count

Most cited item

Most downloaded item (past 12 months)

Access and download statistics for all items

Co-authorship network on CollEc

For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Ingmar Prucha should log into the RePEc Author Service

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

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

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.