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Nico Keilman

Personal Details

First Name:Nico
Middle Name:
Last Name:Keilman
Suffix:
RePEc Short-ID:pke156
http://www.sv.uio.no/econ/english/people/aca/keilman/index.html

Affiliation

Økonomisk institutt
Universitetet i Oslo

Oslo, Norway
http://www.oekonomi.uio.no/

: 22 85 51 27
22 85 50 35
Pb 1095, Blindern, 0317 Oslo
RePEc:edi:souiono (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Keilman, Nico & van Duin, Coen, 2014. "Stochastic Household Forecasts by Coherent Random Shares Predictions," Memorandum 10/2014, Oslo University, Department of Economics.
  2. Arkadiusz Wisniowski & Nico Keilman & Jakub Bijak & Solveig Christiansen & Jonathan J. Forster & Peter W.F Smith & James Raymer, 2012. "Augmenting migration statistics with expert knowledge," Norface Discussion Paper Series 2012005, Norface Research Programme on Migration, Department of Economics, University College London.
  3. Rebecca Graziani & Nico Keilman, 2011. "The sensitivity of the Scaled Model of Error with respect to the choice of the correlation parameters: A simulation study," Working Papers 037, "Carlo F. Dondena" Centre for Research on Social Dynamics (DONDENA), Università Commerciale Luigi Bocconi.
  4. Nico Keilman & Dinh Quang Pham, 2004. "Empirical errors and predicted errors in fertility, mortality and migration forecasts in the European Economic Area," Discussion Papers 386, Statistics Norway, Research Department.
  5. Keilman,N., 2000. "Demographic translation : from period to cohort perspective and back," Memorandum 06/2000, Oslo University, Department of Economics.

Articles

  1. Keilman, Nico, 2016. "Household forecasting: Preservation of age patterns," International Journal of Forecasting, Elsevier, vol. 32(3), pages 726-735.
  2. Bijak Jakub & Alberts Isabel & Alho Juha & Bryant John & Buettner Thomas & Falkingham Jane & Forster Jonathan J. & Gerland Patrick & King Thomas & Onorante Luca & Keilman Nico & O’Hagan Anthony & Owen, 2015. "Letter to the Editor," Journal of Official Statistics, De Gruyter Open, vol. 31(4), pages 537-544, December.
  3. Wiśniowski Arkadiusz & Bijak Jakub & Forster Jonathan J. & Raymer James & Smith Peter W.F. & Christiansen Solveig & Keilman Nico, 2013. "Utilising Expert Opinion to Improve the Measurement of International Migration in Europe," Journal of Official Statistics, De Gruyter Open, vol. 29(4), pages 583-607, December.
  4. Solveig Christiansen & Nico Keilman, 2013. "Probabilistic household forecasts based on register data- the case of Denmark and Finland," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(43), pages 1263-1302, June.
  5. Nico Keilman & Joshua Goldstein & Andrew Hinde, 2011. "An editorial on plagiarism," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 24(17), pages 407-407, March.
  6. Juha Alho & Nico Keilman, 2010. "On future household structure," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(1), pages 117-143.
  7. Nico Keilman, 2008. "European Demographic Forecasts Have Not Become More Accurate Over the Past 25 Years," Population and Development Review, The Population Council, Inc., vol. 34(1), pages 137-153.
  8. Nico Keilman & Dinh Quang Pham & Arve Hetland, 2002. "Why population forecasts should be probabilistic - illustrated by the case of Norway," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 6(15), pages 409-454, May.
  9. Evert Imhoff & Nico Keilman, 2000. "On the Quantum and Tempo of Fertility: Comment," Population and Development Review, The Population Council, Inc., vol. 26(3), pages 549-553.
  10. Alho, J., 1991. "Uncertainty in national population forecasting: Issues, backgrounds, analyses, recommendations : N.C. Keilman, (Swets & Zeitlinger, 1990) pp. 211," International Journal of Forecasting, Elsevier, vol. 7(3), pages 392-393, November.
  11. N W Keilman, 1985. "Internal and external consistency in multidimensional population projection models," Environment and Planning A, Pion Ltd, London, vol. 17(11), pages 1473-1498, November.

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.

Working papers

  1. Rebecca Graziani & Nico Keilman, 2011. "The sensitivity of the Scaled Model of Error with respect to the choice of the correlation parameters: A simulation study," Working Papers 037, "Carlo F. Dondena" Centre for Research on Social Dynamics (DONDENA), Università Commerciale Luigi Bocconi.

    Cited by:

    1. Gianni Corsetti & Marco Marsili, 2013. "Previsioni stocastiche della popolazione nell’ottica di un Istituto Nazionale di Statistica," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 15(2-3), pages 5-29.

  2. Nico Keilman & Dinh Quang Pham, 2004. "Empirical errors and predicted errors in fertility, mortality and migration forecasts in the European Economic Area," Discussion Papers 386, Statistics Norway, Research Department.

    Cited by:

    1. Lenny Stoeldraijer & Coen van Duin & Leo van Wissen & Fanny Janssen, 2013. "Impact of different mortality forecasting methods and explicit assumptions on projected future life expectancy: The case of the Netherlands," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 29(13), pages 323-354, August.
    2. Alho, Juha, 2008. "Aggregation across countries in stochastic population forecasts," International Journal of Forecasting, Elsevier, vol. 24(3), pages 343-353.
    3. Rob J Hyndman & Heather Booth, 2006. "Stochastic population forecasts using functional data models for mortality, fertility and migration," Monash Econometrics and Business Statistics Working Papers 14/06, Monash University, Department of Econometrics and Business Statistics.
    4. Anna Matysiak & Beata Nowok, 2007. "Stochastic forecast of the population of Poland, 2005-2050," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 17(11), pages 301-338, November.
    5. Bailey Fosdick & Adrian E. Raftery, 2014. "Regional probabilistic fertility forecasting by modeling between-country correlations," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 30(35), pages 1011-1034, April.
    6. Nico Keilman, 2008. "European Demographic Forecasts Have Not Become More Accurate Over the Past 25 Years," Population and Development Review, The Population Council, Inc., vol. 34(1), pages 137-153.
    7. Christina Bohk-Ewald & Marcus Ebeling & Roland Rau, 2017. "Lifespan Disparity as an Additional Indicator for Evaluating Mortality Forecasts," Demography, Springer;Population Association of America (PAA), vol. 54(4), pages 1559-1577, August.

  3. Keilman,N., 2000. "Demographic translation : from period to cohort perspective and back," Memorandum 06/2000, Oslo University, Department of Economics.

    Cited by:

    1. Tomáš Sobotka, 2003. "Tempo-quantum and period-cohort interplay in fertility changes in Europe," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 8(6), pages 151-214, April.
    2. Evert van Imhoff, 2001. "On the impossibility of inferring cohort fertility measures from period fertility measures," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 5(2), pages 23-64, September.
    3. Marc Luy, 2006. "Mortality tempo-adjustment," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 15(21), pages 561-590, December.

Articles

  1. Wiśniowski Arkadiusz & Bijak Jakub & Forster Jonathan J. & Raymer James & Smith Peter W.F. & Christiansen Solveig & Keilman Nico, 2013. "Utilising Expert Opinion to Improve the Measurement of International Migration in Europe," Journal of Official Statistics, De Gruyter Open, vol. 29(4), pages 583-607, December.

    Cited by:

    1. Jack DeWaard & Jasmine Trang Ha & James Raymer & Arkadiusz Wiśniowski, 2017. "Migration from New-Accession Countries and Duration Expectancy in the EU-15: 2002–2008," European Journal of Population, Springer;European Association for Population Studies, vol. 33(1), pages 33-53, February.

  2. Solveig Christiansen & Nico Keilman, 2013. "Probabilistic household forecasts based on register data- the case of Denmark and Finland," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(43), pages 1263-1302, June.

    Cited by:

    1. Gustavo De Santis & Mauro Maltagliati & Silvana Salvini, 2016. "A Measure of the Cultural Distance Between Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 126(3), pages 1065-1087, April.
    2. Massimo Mucciardi & Gustavo Santis, 2017. "Cultural Versus Objective Distances: The DBS-EM Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 130(3), pages 867-882, February.
    3. Solveig Glestad Christiansen, 2014. "Household and family development in the Nordic Countries: An overview," Nordic Journal of Political Economy, Nordic Journal of Political Economy, vol. 39, pages 1-2.
    4. Jukka Lassila & Tarmo Valkonen, 2014. "Health and Long-Term Care Expenditure in Finland When Living Alone Increases," Nordic Journal of Political Economy, Nordic Journal of Political Economy, vol. 39, pages 1-1.
    5. Gustavo De Santis & Mauro Maltagliati & Silvana Salvini, 2014. "How close? An attempt at measuring the cultural distance between countries," Working Papers 62, Institute of Statistics and Demography, Warsaw School of Economics.
    6. Alexander Sinelnikov, 2017. "Demographics in the “Marriage Market†of the Sverdlovsk Region," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 1164-1174.
    7. Keilman, Nico, 2016. "Household forecasting: Preservation of age patterns," International Journal of Forecasting, Elsevier, vol. 32(3), pages 726-735.

  3. Juha Alho & Nico Keilman, 2010. "On future household structure," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(1), pages 117-143.

    Cited by:

    1. Jacobsen, Rasmus Højbjerg & Jensen, Svend E. Hougaard, 2014. "Future changes in age and household patterns: Some implications for public finances," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1110-1119.
    2. Tom Wilson, 2013. "The sequential propensity household projection model," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(24), pages 681-712, April.
    3. Solveig Christiansen & Nico Keilman, 2013. "Probabilistic household forecasts based on register data- the case of Denmark and Finland," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(43), pages 1263-1302, June.
    4. Alho, Juha, 2014. "Nonparametric Estimation of Conditional Expectations for Sustainability Analyses," ETLA Reports 24, The Research Institute of the Finnish Economy.
    5. Rasmus Højbjerg Jacobsen & Svend E. Hougaard Jensen, 2014. "Changing Age and Household Patterns: Implications for Welfare Costs in Denmark 1982 – 2007," Nordic Journal of Political Economy, Nordic Journal of Political Economy, vol. 39, pages 1-4.

  4. Nico Keilman, 2008. "European Demographic Forecasts Have Not Become More Accurate Over the Past 25 Years," Population and Development Review, The Population Council, Inc., vol. 34(1), pages 137-153.

    Cited by:

    1. Armstrong, J. Scott & Green, Kesten C. & Graefe, Andreas, 2015. "Golden rule of forecasting: Be conservative," Journal of Business Research, Elsevier, vol. 68(8), pages 1717-1731.
    2. Lassila, Jukka & Valkonen, Tarmo & Alho, Juha M., 2014. "Demographic forecasts and fiscal policy rules," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1098-1109.
    3. Frank T Denton & Byron G. Spencer, 2011. "A Dynamic Extension of the Period Life Table," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 24(34), pages 831-854, June.
    4. Lassila, Jukka & Valkonen, Tarmo & Alho, Juha M., 2011. "Fiscal sustainability and policy rules under changing demographic forecasts," Discussion Papers 1265, The Research Institute of the Finnish Economy.
    5. F. Peters & J. P. Mackenbach & W. J. Nusselder, 2016. "Does the Impact of the Tobacco Epidemic Explain Structural Changes in the Decline of Mortality?," European Journal of Population, Springer;European Association for Population Studies, vol. 32(5), pages 687-702, December.

  5. Nico Keilman & Dinh Quang Pham & Arve Hetland, 2002. "Why population forecasts should be probabilistic - illustrated by the case of Norway," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 6(15), pages 409-454, May.

    Cited by:

    1. Gianni Corsetti & Marco Marsili, 2013. "Previsioni stocastiche della popolazione nell’ottica di un Istituto Nazionale di Statistica," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 15(2-3), pages 5-29.
    2. Booth, Heather, 2006. "Demographic forecasting: 1980 to 2005 in review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 547-581.
    3. Dag Kolsrud, 2015. "A Time‐Simultaneous Prediction Box for a Multivariate Time Series," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(8), pages 675-693, December.
    4. Dag Kolsrud, 2007. "Time-simultaneous prediction band for a time series," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(3), pages 171-188.
    5. Stefan Rayer & Stanley Smith & Jeff Tayman, 2009. "Empirical Prediction Intervals for County Population Forecasts," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 28(6), pages 773-793, December.
    6. Heinz Stefan, 2014. "Uncertainty quantification of world population growth: A self-similar PDF model," Monte Carlo Methods and Applications, De Gruyter, vol. 20(4), pages 261-277, December.
    7. Rob J Hyndman & Heather Booth, 2006. "Stochastic population forecasts using functional data models for mortality, fertility and migration," Monash Econometrics and Business Statistics Working Papers 14/06, Monash University, Department of Econometrics and Business Statistics.
    8. Hal Caswell & Nora Sánchez Gassen, 2015. "The sensitivity analysis of population projections," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 33(28), pages 801-840, October.
    9. Jeff Tayman & Stanley Smith & Jeffrey Lin, 2007. "Precision, bias, and uncertainty for state population forecasts: an exploratory analysis of time series models," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 26(3), pages 347-369, June.
    10. Alonso, Andrés M. & Peña, Daniel & Rodríguez, Julio, 2008. "A methodology for population projections: an application to Spain," DES - Working Papers. Statistics and Econometrics. WS ws084512, Universidad Carlos III de Madrid. Departamento de Estadística.
    11. Jeff Tayman, 2011. "Assessing Uncertainty in Small Area Forecasts: State of the Practice and Implementation Strategy," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 30(5), pages 781-800, October.
    12. Tom Wilson & Huw Brokensha & Francisco Rowe & Ludi Simpson, 2018. "Insights from the Evaluation of Past Local Area Population Forecasts," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 37(1), pages 137-155, February.
    13. Guy Abel & Jakub Bijak & Jonathan J. Forster & James Raymer & Peter W.F. Smith & Jackie S.T. Wong, 2013. "Integrating uncertainty in time series population forecasts: An illustration using a simple projection model," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 29(43), pages 1187-1226, December.
    14. Tom Wilson, 2016. "Visualising the demographic factors which shape population age structure," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 35(29), pages 867-890, September.
    15. Shang, Han Lin & Smith, Peter W.F. & Bijak, Jakub & Wiśniowski, Arkadiusz, 2016. "A multilevel functional data method for forecasting population, with an application to the United Kingdom," International Journal of Forecasting, Elsevier, vol. 32(3), pages 629-649.
    16. David Coleman, 2010. "Projections of the Ethnic Minority Populations of the United Kingdom 2006-2056," Population and Development Review, The Population Council, Inc., vol. 36(3), pages 441-486.
    17. Han Lin Shang & Rob J Hyndman & Heather Booth, 2010. "A comparison of ten principal component methods for forecasting mortality rates," Monash Econometrics and Business Statistics Working Papers 8/10, Monash University, Department of Econometrics and Business Statistics.
    18. Han Lin Shang & Heather Booth & Rob Hyndman, 2011. "Point and interval forecasts of mortality rates and life expectancy: A comparison of ten principal component methods," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 25(5), pages 173-214, July.

  6. Evert Imhoff & Nico Keilman, 2000. "On the Quantum and Tempo of Fertility: Comment," Population and Development Review, The Population Council, Inc., vol. 26(3), pages 549-553.

    Cited by:

    1. Robert Schoen, 2004. "Timing effects and the interpretation of period fertility," Demography, Springer;Population Association of America (PAA), vol. 41(4), pages 801-819, November.
    2. Zeng Yi & Kenneth Land, 2002. "Adjusting period tempo changes with an extension of ryder’s basic translation equation," Demography, Springer;Population Association of America (PAA), vol. 39(2), pages 269-285, May.
    3. Ralph Lattimore & Clinton Pobke, 2008. "Recent Trends in Australian Fertility," Staff Working Papers 0806, Productivity Commission, Government of Australia.
    4. Ewa Batyra, 2016. "Fertility and the changing pattern of the timing of childbearing in Colombia," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 35(46), pages 1343-1372, November.
    5. Keilman,N., 2000. "Demographic translation : from period to cohort perspective and back," Memorandum 06/2000, Oslo University, Department of Economics.
    6. Tomas Frejka & Jean-Paul Sardon, 2006. "First birth trends in developed countries: a cohort analysis," MPIDR Working Papers WP-2006-014, Max Planck Institute for Demographic Research, Rostock, Germany.
    7. Hans-Peter Kohler & José Antonio Ortega, 2004. "Old Insights and New Approaches: Fertility Analysis and Tempo Adjustment in the Age-Parity Model," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 2(1), pages 57-90.
    8. Francisca Nordfalk & Ulla A. Hvidtfeldt & Niels Keiding, 2015. "TFR for males in Denmark," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 32(52), pages 1421-1434, June.
    9. Griffith Feeney & John Bongaarts, 2006. "The Quantum and Tempo of Life-Cycle Events," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 4(1), pages 115-151.
    10. José A. Ortega & Hans-Peter Kohler, 2002. "Measuring low fertility: rethinking demographic methods," MPIDR Working Papers WP-2002-001, Max Planck Institute for Demographic Research, Rostock, Germany.
    11. Robert Schoen & Stefan H. Jonsson, 2003. "A diminishing population whose every cohort more than replaces itself," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 9(6), pages 111-118, October.
    12. Hans-Peter Kohler & Dimiter Philipov, 2001. "Variance effects in the bongaarts-feeney formula," Demography, Springer;Population Association of America (PAA), vol. 38(1), pages 1-16, February.
    13. Tomas Frejka & Jean-Paul Sardon, 2006. "First birth trends in developed countries," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 15(6), pages 147-180, September.
    14. Yi Zeng & Eric Stallard & Zhenglian Wang, 2003. "Estimating time-varying sex-age-specific o/e rates of marital status transitions in family household projection or simulation," MPIDR Working Papers WP-2003-024, Max Planck Institute for Demographic Research, Rostock, Germany.
    15. Yi Zeng & Eric Stallard & Zhenglian Wang, 2004. "Estimating time-varying sex-age-specific o/e rates of marital status transitions in family household projection or simulation," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 11(10), pages 263-304, December.
    16. Kenneth W. Wachter, 2005. "Tempo and its Tribulations," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 13(9), pages 201-222, November.
    17. Máire Ní Bhrolcháin, 2011. "Tempo and the TFR," Demography, Springer;Population Association of America (PAA), vol. 48(3), pages 841-861, August.
    18. Rueda, Cristina & Rodríguez, Pilar, 2010. "State space models for estimating and forecasting fertility," International Journal of Forecasting, Elsevier, vol. 26(4), pages 712-724, October.
    19. Evert van Imhoff, 2001. "On the impossibility of inferring cohort fertility measures from period fertility measures," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 5(2), pages 23-64, September.
    20. Tomás Sobotka, 2004. "Is Lowest-Low Fertility in Europe Explained by the Postponement of Childbearing?," Population and Development Review, The Population Council, Inc., vol. 30(2), pages 195-220.
    21. Marc Luy, 2006. "Mortality tempo-adjustment," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 15(21), pages 561-590, December.
    22. Kenneth Land, 2001. "A sensitivity analysis of the bongaarts-feeney method for adjusting bias in observed period total fertility rates," Demography, Springer;Population Association of America (PAA), vol. 38(1), pages 17-28, February.

  7. N W Keilman, 1985. "Internal and external consistency in multidimensional population projection models," Environment and Planning A, Pion Ltd, London, vol. 17(11), pages 1473-1498, November.

    Cited by:

    1. Karine Briard, 2009. "Un modèle de carrières types dynamiques pondérées pour le régime général d’assurance vieillesse : une application aux conséquences de la réforme de 2003," Économie et Prévision, Programme National Persée, vol. 187(1), pages 47-64.
    2. Dik Leering & Andries Hans De Jong, 2005. "Pearl - The New Regional Forecasting Model Of The Netherlands," ERSA conference papers ersa05p420, European Regional Science Association.
    3. Nijkamp, Peter & Van Wissen, Leo & Rima, Annemarie, 1993. "A household life cycle model for residential relocation behaviour," Socio-Economic Planning Sciences, Elsevier, vol. 27(1), pages 35-53, March.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 6 papers 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-FOR: Forecasting (3) 2011-01-30 2011-02-19 2015-01-03
  2. NEP-AGE: Economics of Ageing (1) 2015-01-03
  3. NEP-CIS: Confederation of Independent States (1) 2011-02-19
  4. NEP-CMP: Computational Economics (1) 2011-02-19
  5. NEP-ECM: Econometrics (1) 2011-01-30
  6. NEP-EUR: Microeconomic European Issues (1) 2012-01-25
  7. NEP-HEA: Health Economics (1) 2004-11-22
  8. NEP-MIG: Economics of Human Migration (1) 2012-01-25
  9. NEP-ORE: Operations Research (1) 2015-01-03

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