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Lee C. Adkins

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. Lee C. Adkins & Melissa S. Waters & R. Carter Hill, 2015. "Collinearity Diagnostics in gretl," Economics Working Paper Series 1506, Oklahoma State University, Department of Economics and Legal Studies in Business.

    Cited by:

    1. Stanislav Zabojník & Dusan Steinhauser & Viktoria Pestova, 2023. "EU Decarbonisation: Do EU Electricity Costs Harm Export Competitiveness?," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 25(63), pages 522-522, April.

  2. Lee Adkins, 2014. "Using gretl for Principles of Econometrics, 4th Edition," Economics Working Paper Series 1412, Oklahoma State University, Department of Economics and Legal Studies in Business.

    Cited by:

    1. Joanna Olbrys, 2013. "Asymmetric impact of innovations on volatility in the case of the US and CEEC-3 markets: EGARCH based approach," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 13, pages 33-50.
    2. Wieland, Thomas, 2014. "Räumliches Einkaufsverhalten und Standortpolitik im Einzelhandel unter Berücksichtigung von Agglomerationseffekten: Theoretische Erklärungsansätze, modellanalytische Zugänge und eine empirisch-ökonome," MPRA Paper 77163, University Library of Munich, Germany.
    3. Suhaeniti & Sangyub Ryu, 2013. "Gender, Middle Manager Management, And Performance: Evidence From Indonesian Public Schools," Working Papers EMS_2013_08, Research Institute, International University of Japan.
    4. Joanna Olbry�, 2014. "Is illiquidity risk priced? The case of the Polish medium-size emerging stock market," Bank i Kredyt, Narodowy Bank Polski, vol. 45(6), pages 513�536-5.
    5. Riccardo Lucchetti, 2009. "Who uses gretl? An Analysis of the SourceForge Download Data," EHUCHAPS, in: Ignacio Díaz-Emparanza & Petr Mariel & María Victoria Esteban (ed.), Econometrics with gretl. Proceedings of the gretl Conference 2009, edition 1, chapter 3, pages 45-55, Universidad del País Vasco - Facultad de Ciencias Económicas y Empresariales.
    6. Sabina Nowak & Joanna Olbrys, 2015. "Day-of-the-Week Effects in Liquidity on the Warsaw Stock Exchange," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 15, pages 49-69.
    7. L. B. Sungatullina & E. I. Kadochnikova & G. R. Faizrahmanova, 2020. "Modeling the Effectiveness of Employee Compensation Based on Financial Resources," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 11(6), pages 63-72, December.
    8. Mihai Paunica, 2017. "Structural Analysis of the Final Consumption of Households: Evidence from Romania, Estonia and Latvia," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 7(3), pages 151-156, July.
    9. Joanna Olbrys, 2011. "ARCH Effect in Classical Market-Timing Models with Lagged Market Variable: the Case of Polish Market," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 11, pages 185-202.
    10. Joanna Olbrys & Elzbieta Majewska, 2016. "Crisis periods and contagion effects in the CEE stock markets: the influence of the 2007 US subprime crisis," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 6(2), pages 124-137.
    11. Oyewo Babajide Michael & Oyewole Oyedayo Sharon, 2014. "Financial System, Financial Inclusion and Economic development in Nigeria," International Journal of Management Sciences, Research Academy of Social Sciences, vol. 2(3), pages 139-148.
    12. Trenca Ioan & Cociuba Mihail Ioan, 2011. "Modeling Romanian Exchange Rate Evolution With Garch, Tgarch, Garch- In Mean Models," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(special), pages 299-305, July.
    13. Olbryś Joanna, 2012. "Arch Effects in Multifactor Market-Timing Models of Polish Mutual Funds," Folia Oeconomica Stetinensia, Sciendo, vol. 10(2), pages 60-80, January.
    14. Federico Lampis & Ignacio Díaz-Emparanza & Anindya Banerjee, 2015. "How to use SETAR models in gretl," Computational Economics, Springer;Society for Computational Economics, vol. 46(2), pages 231-241, August.
    15. Joanna Olbryś & Elżbieta Majewska, 2014. "Implications of market frictions: serial correlations in indexes on the emerging stock markets in Central and Eastern Europe," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 24(1), pages 51-70.
    16. Allin Cottrell, 2009. "Gretl: Retrospect, Design and Prospect," EHUCHAPS, in: Ignacio Díaz-Emparanza & Petr Mariel & María Victoria Esteban (ed.), Econometrics with gretl. Proceedings of the gretl Conference 2009, edition 1, chapter 1, pages 3-13, Universidad del País Vasco - Facultad de Ciencias Económicas y Empresariales.
    17. Olbryś Joanna & Majewska Elżbieta, 2015. "Testing Integration Effects Between the Cee and U.S. Stock Markets During the 2007–2009 Global Financial Crisis," Folia Oeconomica Stetinensia, Sciendo, vol. 15(1), pages 101-113, June.
    18. E. I. Kadochnikova* & L. F. Zulfakarova & Z. N. Zapparova & L. B. Sungatullina, 2018. "Comparative Assessment of Resource Productivity Factors in the Oil and Gas Companies," The Journal of Social Sciences Research, Academic Research Publishing Group, pages 75-79:5.
    19. Lee C. Adkins, 2011. "Monte Carlo Experiments Using gretl: A Primer," Economics Working Paper Series 1103, Oklahoma State University, Department of Economics and Legal Studies in Business.
    20. Zapodeanu Daniela Author & Cociuba Mihail-Ioan, 2010. "An Econometric model for the evolution of the Romanian Interbank Bid Rate (ROBID) in the context of the international financial crisis," Annals of University of Craiova - Economic Sciences Series, University of Craiova, Faculty of Economics and Business Administration, vol. 3(38), pages 449-456, May.
    21. Madanlo, Lalaine & Murcia, John Vianne & Tamayo, Adrian, 2016. "Simultaneity of Crime Incidence in Mindanao," MPRA Paper 72648, University Library of Munich, Germany, revised 20 Jul 2016.
    22. Pilar Fernández‐Ferrín & Belén Bande & Aitor Calvo‐Turrientes & M. Mercedes Galán‐Ladero, 2017. "The Choice of Local Food Products by Young Consumers: The Importance of Public and Private Attributes," Agribusiness, John Wiley & Sons, Ltd., vol. 33(1), pages 70-84, January.

  3. Lee C. Adkins, 2008. "Small Sample Performance of Instrumental Variables Probit Estimators: A Monte Carlo Investigation," Economics Working Paper Series 0807, Oklahoma State University, Department of Economics and Legal Studies in Business.

    Cited by:

    1. John Gilbert & Reza Oladi, 2011. "Net Campaign Contributions, Agricultural Interests, and Votes on Liberalizing Trade with China," Working Papers 2011-02, Utah State University, Department of Economics.
    2. Agnello, Luca & Schuknecht, Ludger, 2009. "Booms and busts in housing markets: determinants and implications," Working Paper Series 1071, European Central Bank.
    3. Eric Doviak & Sean MacDonald, 2012. "Who Defaults on their Home Mortgage?," New York Economic Review, New York State Economics Association (NYSEA), vol. 43(1), pages 75-98.
    4. Lee C. Adkins, 2009. "An Instrumental Variables Probit Estimator Using Gretl," EHUCHAPS, in: Ignacio Díaz-Emparanza & Petr Mariel & María Victoria Esteban (ed.), Econometrics with gretl. Proceedings of the gretl Conference 2009, edition 1, chapter 4, pages 59-74, Universidad del País Vasco - Facultad de Ciencias Económicas y Empresariales.
    5. Sarrias, Mauricio, 2021. "A two recursive equation model to correct for endogeneity in latent class binary probit models," Journal of choice modelling, Elsevier, vol. 40(C).
    6. Christine Siew-Pyng Chong & Suresh Narayanan, 2017. "The Size and Costs of Bribes in Malaysia: An Analysis Based on Convicted Bribe Givers," Asian Economic Papers, MIT Press, vol. 16(1), pages 66-84, Winter/Sp.

  4. Lee Adkins & R. Carter Hill, 2007. "Bootstrap Inferences in Heteroscedastic Sample Selection Models: A Monte Carlo Investigation," Economics Working Paper Series 0710, Oklahoma State University, Department of Economics and Legal Studies in Business.

    Cited by:

    1. El-Osta, Hisham S., 2011. "The Impact of Human Capital on Farm Operator Household Income," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 40(1), pages 1-21, April.
    2. Jose Ignacio Gimenez-Nadal & Miguel Lafuente & Jose Alberto Molina & Jorge Velilla, 2019. "Resampling and bootstrap algorithms to assess the relevance of variables: applications to cross section entrepreneurship data," Empirical Economics, Springer, vol. 56(1), pages 233-267, January.
    3. Hisham S. El-Osta, 2016. "Farmland Ownership and Its Impact on the Debt Servicing Capacity Among U.S. Married-Couple Farm Households," Applied Economics and Finance, Redfame publishing, vol. 3(4), pages 190-206, November.

Articles

  1. Naneida Regina Lazarte Alcala & Lee C. Adkins & Bidisha Lahiri & Andreas Savvides, 2014. "Remittances and income diversification in Bolivia's rural sector," Applied Economics, Taylor & Francis Journals, vol. 46(8), pages 848-858, March.

    Cited by:

    1. Mora-Rivera, Jorge & van Gameren, Edwin, 2021. "The impact of remittances on food insecurity: Evidence from Mexico," World Development, Elsevier, vol. 140(C).
    2. Sònia Parella & Javier Silvestre & Alisa Petroff, 2021. "A Mixed‐Method Analysis of Remittance Scripts Among Bolivian Immigrants in Spain," Journal of International Development, John Wiley & Sons, Ltd., vol. 33(1), pages 256-274, January.
    3. Lahiri, Bidisha & Daramola, Richard, 2023. "Effects of credit and labor constraints on microenterprises and the unintended impact of changes in household endowments: Use of threshold estimation to detect heterogeneity," The Quarterly Review of Economics and Finance, Elsevier, vol. 88(C), pages 21-38.
    4. López-Videla, Bruno & Machuca, Carlos Emilio, 2014. "The Effects of Remittances on Poverty at the Household Level in Bolivia: A Propensity Score Matching Approach," MPRA Paper 55201, University Library of Munich, Germany.

  2. Lee C. Adkins, 2011. "Using gretl for Monte Carlo experiments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(5), pages 880-885, August.

    Cited by:

    1. Błażejowski, Marcin & Kwiatkowski, Jacek, 2015. "Bayesian Model Averaging and Jointness Measures for gretl," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 68(i05).
    2. Lee Adkins, 2014. "Using gretl for Principles of Econometrics, 4th Edition," Economics Working Paper Series 1412, Oklahoma State University, Department of Economics and Legal Studies in Business.
    3. Yalta, A. Talha & Schreiber, Sven, 2012. "Random Number Generation in gretl," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 50(c01).

  3. Krehbiel, Tim & Adkins, Lee C., 2008. "Extreme daily changes in U.S. Dollar London inter-bank offer rates," International Review of Economics & Finance, Elsevier, vol. 17(3), pages 397-411.

    Cited by:

    1. Olson, Eric & Miller, Scott & Wohar, Mark E., 2012. "“Black Swans” before the “Black Swan” evidence from international LIBOR–OIS spreads," Journal of International Money and Finance, Elsevier, vol. 31(6), pages 1339-1357.
    2. Marco Rocco, 2011. "Extreme value theory for finance: a survey," Questioni di Economia e Finanza (Occasional Papers) 99, Bank of Italy, Economic Research and International Relations Area.
    3. Saralees Nadarajah & Bo Zhang & Stephen Chan, 2014. "Estimation methods for expected shortfall," Quantitative Finance, Taylor & Francis Journals, vol. 14(2), pages 271-291, February.

  4. Lee C. Adkins & David A. Carter & W. Gary Simpson, 2007. "Managerial Incentives And The Use Of Foreign‐Exchange Derivatives By Banks," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 30(3), pages 399-413, September.

    Cited by:

    1. Belkhir, Mohamed & Boubaker, Sabri, 2013. "CEO inside debt and hedging decisions: Lessons from the U.S. banking industry," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 24(C), pages 223-246.
    2. Akhigbe, Aigbe & Makar, Stephen & Wang, Li & Whyte, Ann Marie, 2018. "Interest rate derivatives use in banking: Market pricing implications of cash flow hedges," Journal of Banking & Finance, Elsevier, vol. 86(C), pages 113-126.
    3. Affaf Asghar Butt & Main Sajid Nazir & Hamera Arshad & Aamer Shahzad, 2018. "Corporate Derivatives and Ownership Concentration: Empirical Evidence of Non-Financial Firms Listed on Pakistan Stock Exchange," JRFM, MDPI, vol. 11(3), pages 1-15, June.
    4. Veliota Drakopoulou, 2016. "The Earnings Smoothing Management Philosophy of BHCs in the SFAS -133 Framework," Accounting and Finance Research, Sciedu Press, vol. 5(3), pages 1-64, August.
    5. Liu, Qi & Sun, Bo, 2015. "Managerial compensation under privately-observed hedging and earnings management," Economics Letters, Elsevier, vol. 137(C), pages 1-4.
    6. Benedetta Bianchi & Giovanna Bua, 2020. "Foreign exchange derivatives and currency mismatch in Irish investment funds," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Bridging measurement challenges and analytical needs of external statistics: evolution or revolution?, volume 52, Bank for International Settlements.
    7. Lee C. Adkins, 2008. "Small Sample Performance of Instrumental Variables Probit Estimators: A Monte Carlo Investigation," Economics Working Paper Series 0807, Oklahoma State University, Department of Economics and Legal Studies in Business.
    8. Deng, Saiying & Elyasiani, Elyas & Mao, Connie X., 2017. "Derivatives-hedging, risk allocation and the cost of debt: Evidence from bank holding companies," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 114-127.
    9. Nobuyuki Isagawa & Satoru Yamaguchi & Tadayasu Yamashita, 2010. "Debt Forgiveness And Stock Price Reaction Of Lending Banks: Theory And Evidence From Japan," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 33(3), pages 267-287, September.
    10. Yidi Sun & Bruce Morley, 2021. "The Dynamics of Foreign Exchange Derivative Use in China," JRFM, MDPI, vol. 14(7), pages 1-18, June.
    11. Dewally, Michaël & Shao, Yingying, 2013. "Financial derivatives, opacity, and crash risk: Evidence from large US banks," Journal of Financial Stability, Elsevier, vol. 9(4), pages 565-577.
    12. Mun, Kyung-Chun, 2016. "Hedging bank market risk with futures and forwards," The Quarterly Review of Economics and Finance, Elsevier, vol. 61(C), pages 112-125.
    13. Dawood Ashraf & Yener Altunbas & John Goddard, 2007. "Who Transfers Credit Risk? Determinants of the Use of Credit Derivatives by Large US Banks," The European Journal of Finance, Taylor & Francis Journals, vol. 13(5), pages 483-500.
    14. Lee C. Adkins, 2009. "An Instrumental Variables Probit Estimator Using Gretl," EHUCHAPS, in: Ignacio Díaz-Emparanza & Petr Mariel & María Victoria Esteban (ed.), Econometrics with gretl. Proceedings of the gretl Conference 2009, edition 1, chapter 4, pages 59-74, Universidad del País Vasco - Facultad de Ciencias Económicas y Empresariales.
    15. Liu, Hui-Hsuan & Chang, Ariana & Shiu, Yung-Ming, 2020. "Interest rate derivatives and risk exposure: Evidence from the life insurance industry," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    16. Merikas, Andreas & Merika, Anna & Penikas, Henry I. & Surkov, Mikhail A., 2020. "The Basel II internal ratings based (IRB) model and the transition impact on the listed Greek banks," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).
    17. Belkhir, Mohamed, 2013. "Do subordinated debt holders discipline bank risk-taking? Evidence from risk management decisions," Journal of Financial Stability, Elsevier, vol. 9(4), pages 705-719.
    18. Krapl, Alain A. & White, Reilly S., 2016. "Executive pensions, risk-shifting, and foreign exchange exposure," Research in International Business and Finance, Elsevier, vol. 38(C), pages 376-392.
    19. Al-Own, Bassam & Minhat, Marizah & Gao, Simon, 2018. "Stock options and credit default swaps in risk management," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 53(C), pages 200-214.
    20. Yulia Titova & Henry Penikas & Nikita Gomayun, 2020. "The impact of hedging and trading derivatives on value, performance and risk of European banks," Empirical Economics, Springer, vol. 58(2), pages 535-565, February.

  5. Tim Krehbiel & Lee C. Adkins, 2005. "Price risk in the NYMEX energy complex: An extreme value approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 25(4), pages 309-337, April.

    Cited by:

    1. Dissanayake, Pushpa & Flock, Teresa & Meier, Johanna & Sibbertsen, Philipp, 2021. "Modelling Short- and Long-Term Dependencies of Clustered High-Threshold Exceedances in Significant Wave Heights," Hannover Economic Papers (HEP) dp-690, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    2. Guo, Zi-Yi, 2017. "Models with Short-Term Variations and Long-Term Dynamics in Risk Management of Commodity Derivatives," EconStor Preprints 167619, ZBW - Leibniz Information Centre for Economics.
    3. Feng Ren & David E. Giles, 2007. "Extreme Value Analysis of Daily Canadian Crude Oil Prices," Econometrics Working Papers 0708, Department of Economics, University of Victoria.
    4. Gkillas, Konstantinos & Konstantatos, Christoforos & Papathanasiou, Spyros & Wohar, Mark, 2023. "Estimation of value at risk for copper," Journal of Commodity Markets, Elsevier, vol. 32(C).
    5. Wei Yang & Ai Han & Yongmiao Hong & Shouyang Wang, 2016. "Analysis of crisis impact on crude oil prices: a new approach with interval time series modelling," Quantitative Finance, Taylor & Francis Journals, vol. 16(12), pages 1917-1928, December.
    6. Laporta, Alessandro G. & Merlo, Luca & Petrella, Lea, 2018. "Selection of Value at Risk Models for Energy Commodities," Energy Economics, Elsevier, vol. 74(C), pages 628-643.
    7. Youssef, Manel & Belkacem, Lotfi & Mokni, Khaled, 2015. "Value-at-Risk estimation of energy commodities: A long-memory GARCH–EVT approach," Energy Economics, Elsevier, vol. 51(C), pages 99-110.
    8. Halkos, George E. & Tsirivis, Apostolos S., 2019. "Value-at-risk methodologies for effective energy portfolio risk management," Economic Analysis and Policy, Elsevier, vol. 62(C), pages 197-212.
    9. Herrera, Rodrigo & Rodriguez, Alejandro & Pino, Gabriel, 2017. "Modeling and forecasting extreme commodity prices: A Markov-Switching based extreme value model," Energy Economics, Elsevier, vol. 63(C), pages 129-143.
    10. Zi‐Yi Guo, 2020. "Stochastic multifactor models in risk management of energy futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(12), pages 1918-1934, December.
    11. Yuan, Ying & Zhuang, Xin-tian & Liu, Zhi-ying & Huang, Wei-qiang, 2012. "Time-clustering behavior of sharp fluctuation sequences in Chinese stock markets," Chaos, Solitons & Fractals, Elsevier, vol. 45(6), pages 838-845.
    12. Marco Rocco, 2011. "Extreme value theory for finance: a survey," Questioni di Economia e Finanza (Occasional Papers) 99, Bank of Italy, Economic Research and International Relations Area.
    13. Kostas Andriosopoulos & Nikos Nomikos, 2012. "Risk management in the energy markets and Value-at-Risk modelling: a Hybrid approach," RSCAS Working Papers 2012/47, European University Institute.
    14. Ra l De Jes s Guti rrez & Lidia E. Carvajal Guti rrez & Oswaldo Garcia Salgado, 2023. "Value at Risk and Expected Shortfall Estimation for Mexico s Isthmus Crude Oil Using Long-Memory GARCH-EVT Combined Approaches," International Journal of Energy Economics and Policy, Econjournals, vol. 13(4), pages 467-480, July.
    15. Park, Eunchun & Maples, Josh, 2018. "Extreme Events and Serial Dependence in Commodity Prices," 2018 Annual Meeting, August 5-7, Washington, D.C. 274469, Agricultural and Applied Economics Association.
    16. He, Angela W.W. & Kwok, Jerry T.K. & Wan, Alan T.K., 2010. "An empirical model of daily highs and lows of West Texas Intermediate crude oil prices," Energy Economics, Elsevier, vol. 32(6), pages 1499-1506, November.
    17. Park, Eunchun & Maples, Joshua, 2018. "Serially Dependent Extreme Events in Agricultural Commodity Futures Markets," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266626, Southern Agricultural Economics Association.
    18. Halkos, George & Tsirivis, Apostolos, 2019. "Using Value-at-Risk for effective energy portfolio risk management," MPRA Paper 91674, University Library of Munich, Germany.
    19. Nicolas Merener, 2016. "Concentrated Production and Conditional Heavy Tails in Commodity Returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(1), pages 46-65, January.
    20. Julia S. Mehlitz & Benjamin R. Auer, 2021. "Time‐varying dynamics of expected shortfall in commodity futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(6), pages 895-925, June.
    21. Abdul-Aziz Ibn Musah & Jianguo Du & Hira Salah Ud din Khan & Alhassan Alolo Abdul-Rasheed Akeji, 2018. "The Asymptotic Decision Scenarios of an Emerging Stock Exchange Market: Extreme Value Theory and Artificial Neural Network," Risks, MDPI, vol. 6(4), pages 1-24, November.
    22. Vêlayoudom Marimoutou & Bechir Raggad & Abdelwahed Trabelsi, 2006. "Extreme Value Theory and Value at Risk : Application to Oil Market," Working Papers halshs-00410746, HAL.
    23. Dariusz Gołȩbiewski & Tomasz Barszcz & Wioletta Skrodzka & Igor Wojnicki & Andrzej Bielecki, 2022. "A New Approach to Risk Management in the Power Industry Based on Systems Theory," Energies, MDPI, vol. 15(23), pages 1-19, November.

  6. Lee C. Adkins & Dan S. Rickman & Abid Hameed, 2003. "Bayesian Estimation of Regional Production for CGE Modeling," Journal of Regional Science, Wiley Blackwell, vol. 43(4), pages 641-661, November.

    Cited by:

    1. Luc Bauwens & Dimitris Korobilis, 2013. "Bayesian methods," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 16, pages 363-380, Edward Elgar Publishing.
    2. Mark Partridge & Dan Rickman, 2010. "Computable General Equilibrium (CGE) Modelling for Regional Economic Development Analysis," Regional Studies, Taylor & Francis Journals, vol. 44(10), pages 1311-1328.
    3. Michael R. Greenberg & Michael Lahr & Nancy Mantell, 2007. "Understanding the Economic Costs and Benefits of Catastrophes and Their Aftermath: A Review and Suggestions for the U.S. Federal Government," Risk Analysis, John Wiley & Sons, vol. 27(1), pages 83-96, February.
    4. Hendrik Wolff & Thomas Heckelei & Ron C. Mittelhammer, 2004. "Imposing Curvature and Monotonicity on Flexible Functional Forms: An Efficient Regional Approach," Econometric Society 2004 North American Summer Meetings 450, Econometric Society.
    5. Dan S. Rickman, 2010. "Modern Macroeconomics And Regional Economic Modeling," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 23-41, February.
    6. Euijune Kim & Geoffrey Hewings & Chowoon Hong, 2004. "An Application of an Integrated Transport Network- Multiregional CGE Model: a Framework for the Economic Analysis of Highway Projects," Economic Systems Research, Taylor & Francis Journals, vol. 16(3), pages 235-258.
    7. Lecca, Patrizio & Swales, Kim & Turner, Karen, 2011. "An investigation of issues relating to where energy should enter the production function," Economic Modelling, Elsevier, vol. 28(6), pages 2832-2841.
    8. Wolff, Hendrik & Heckelei, Thomas & Mittelhammer, Ronald C., 2004. "Imposing Monotonicity And Curvature On Flexible Functional Forms," 2004 Annual meeting, August 1-4, Denver, CO 20256, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    9. Ha, Soo Jung & Lange, Ian & Lecca, Patrizio & Turner, Karen, 2012. "Econometric estimation of nested production functions and testing in a computable general equilibrium analysis of economy-wide rebound effec ts," Stirling Economics Discussion Papers 2012-08, University of Stirling, Division of Economics.
    10. Qin Jin & Xiangzheng Deng & Zhan Wang & Chenchen Shi & Xing Li, 2014. "Analysis and Projection of the Relationship between Industrial Structure and Land Use Structure in China," Sustainability, MDPI, vol. 6(12), pages 1-28, December.

  7. Adkins, Lee C. & Moomaw, Ronald L., 2003. "The impact of local funding on the technical efficiency of Oklahoma schools," Economics Letters, Elsevier, vol. 81(1), pages 31-37, October.

    Cited by:

    1. Todd Nesbit & Joseph Palardy, 2007. "Traditional public schools versus charter schools: a comparison of technical efficiency," Economics Bulletin, AccessEcon, vol. 9(9), pages 1-10.
    2. Torberg Falch & Astrid Marie Jorde Sandsør & Bjarne Strøm, 2017. "Do Smaller Classes Always Improve Students’ Long-run Outcomes?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(5), pages 654-688, October.
    3. Bhaumik, Sumon K. & Dimova, Ralitza, 2011. "Good and Bad Institutions: Is the Debate Over? Cross-Country Firm-Level Evidence from the Textile Industry," IZA Discussion Papers 5471, Institute of Labor Economics (IZA).
    4. Pierre-Guillaume Méon & Laurent Weill, 2004. "Does better governance foster efficiency? An aggregate frontier analysis," Economics of Governance, Springer, vol. 6(1), pages 75-90, January.
    5. Millimet, Daniel L. & Collier, Trevor, 2008. "Efficiency in public schools: Does competition matter?," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 134-157, July.
    6. Joseph Palardy & Todd M. Nesbit & Kerry A. Adzima, 2015. "Charter versus traditional public schools: a panel study of the technical efficiency in Ohio," Education Economics, Taylor & Francis Journals, vol. 23(3), pages 278-295, June.
    7. B. Brorsen & Taeyoon Kim, 2013. "Data aggregation in stochastic frontier models: the closed skew normal distribution," Journal of Productivity Analysis, Springer, vol. 39(1), pages 27-34, February.

  8. Lee C. Adkins & Ronald L. Moomaw & Andreas Savvides, 2002. "Institutions, Freedom, and Technical Efficiency," Southern Economic Journal, John Wiley & Sons, vol. 69(1), pages 92-108, July.

    Cited by:

    1. Md. Hossain, 2016. "Foreign Direct Investment, Economic Freedom and Economic Growth: Evidence from Developing Countries," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(11), pages 200-200, November.
    2. Andrea Calef & Ifigenia Georgiou & Alfonsina Iona, 2022. "Credit Market Freedom and Corporate Decisions," University of East Anglia School of Economics Working Paper Series 2022-09, School of Economics, University of East Anglia, Norwich, UK..
    3. Méon, Pierre-Guillaume & Weill, Laurent, 2010. "Is Corruption an Efficient Grease?," World Development, Elsevier, vol. 38(3), pages 244-259, March.
    4. Nitin Arora & Ishfaq Ali Ganaie, 2023. "How Much Technically Efficient Is The South Asian Region? An Intra-Regional Comparison Among Its Affiliates," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 24(1), pages 20-40, March.
    5. Juan Cándido Gómez‐Gallego & María del Rocío Moreno‐Enguix & María Gómez‐Gallego, 2022. "The relation between the index of economic freedom and good governance with efficiency of the European Structural Funds," Papers in Regional Science, Wiley Blackwell, vol. 101(2), pages 327-349, April.
    6. Abdelaziz Hakimi & Helmi Hamdi & Mohamed Ali Khemiri, 2023. "Banking in the MENA region: the pro-active role of financial and economic freedom," Post-Print hal-04133788, HAL.
    7. Hunjra, Ahmed Imran & Islam, Faridul & Verhoeven, Peter & Hassan, M. Kabir, 2022. "The impact of a dual banking system on macroeconomic efficiency," Research in International Business and Finance, Elsevier, vol. 61(C).
    8. Koffi Délali Kpognon & Henri Atangana Ondoa & Mamadou Bah & Peter Asare-Nuamah, 2022. "Fostering Labour Productivity Growth for Productive and Decent Job Creation in Sub-Saharan African Countries: the Role of Institutional Quality," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(3), pages 1962-1992, September.
    9. Ndubuisi, Gideon & Otioma, Chuks & Owusu, Solomon & Tetteh, Godsway Korku, 2022. "ICTs quality and technical efficiency: An empirical analysis," Telecommunications Policy, Elsevier, vol. 46(10).

  9. Adkins, Lee C & Krehbiel, Timothy & Hill, R Carter, 2000. "Using Cointegration Restrictions to Improve Inference in Vector Autoregressive Systems," Review of Quantitative Finance and Accounting, Springer, vol. 14(2), pages 193-208, March.

    Cited by:

    1. Roland Füss & Denis Schweizer, 2012. "Short and long-term interactions between venture capital returns and the macroeconomy: evidence for the United States," Review of Quantitative Finance and Accounting, Springer, vol. 38(3), pages 391-410, April.

  10. Adkins, Lee C. & Krehbiel, Timothy, 1999. "Mean reversion and volatility of short-term London Interbank Offer Rates: An empirical comparison of competing models," International Review of Economics & Finance, Elsevier, vol. 8(1), pages 45-54, January.

    Cited by:

    1. Huang, J. & Kobayashi, M. & McAleer, M.J., 2011. "Testing the Box-Cox Parameter for an Integrated Process," Econometric Institute Research Papers EI 2010-77, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Huang, Jian & Kobayashi, Masahito & McAleer, Michael, 2012. "Testing for the Box–Cox parameter for an integrated process," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 83(C), pages 1-9.
    3. Jian Huang & Masahito Kobayashi & Michael McAleer, 2009. "Testing the Box-Cox Parameter in an Integrated Process," CIRJE F-Series CIRJE-F-661, CIRJE, Faculty of Economics, University of Tokyo.
    4. Nowman, Khalid Ben, 2010. "Modelling the UK and Euro yield curves using the Generalized Vasicek model: Empirical results from panel data for one and two factor models," International Review of Financial Analysis, Elsevier, vol. 19(5), pages 334-341, December.
    5. B. Stehlikova & D. Sevcovic, 2008. "On non-existence of a one factor interest rate model for volatility averaged generalized Fong-Vasicek term structures," Papers 0811.0473, arXiv.org.

  11. Tim Krehbiel & Lee C. Adkins, 1996. "Do systematic risk premiums persist in eurodollar futures prices?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 16(4), pages 389-403, June.

    Cited by:

    1. Adkins, Lee C & Krehbiel, Timothy & Hill, R Carter, 2000. "Using Cointegration Restrictions to Improve Inference in Vector Autoregressive Systems," Review of Quantitative Finance and Accounting, Springer, vol. 14(2), pages 193-208, March.

  12. Adkins, Lee C. & Eells, James B., 1995. "Improved estimators of energy models," Energy Economics, Elsevier, vol. 17(1), pages 15-25, January.

    Cited by:

    1. Zhang, Xinyu & Chen, Ti & Wan, Alan T.K. & Zou, Guohua, 2009. "Robustness of Stein-type estimators under a non-scalar error covariance structure," Journal of Multivariate Analysis, Elsevier, vol. 100(10), pages 2376-2388, November.
    2. Magnus, Jan R. & Wan, Alan T.K. & Zhang, Xinyu, 2011. "Weighted average least squares estimation with nonspherical disturbances and an application to the Hong Kong housing market," Computational Statistics & Data Analysis, Elsevier, vol. 55(3), pages 1331-1341, March.

  13. Tim Krehbiel & Lee C. Adkins, 1994. "Interest rate futures: Evidence on forecast power, expected premiums, and the unbiased expectations hypothesis," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 14(5), pages 531-543, August.

    Cited by:

    1. Kleimeier, Stefanie & Sander, Harald, 2006. "Expected versus unexpected monetary policy impulses and interest rate pass-through in euro-zone retail banking markets," Journal of Banking & Finance, Elsevier, vol. 30(7), pages 1839-1870, July.
    2. Adkins, Lee C & Krehbiel, Timothy & Hill, R Carter, 2000. "Using Cointegration Restrictions to Improve Inference in Vector Autoregressive Systems," Review of Quantitative Finance and Accounting, Springer, vol. 14(2), pages 193-208, March.
    3. Sander, H. & Kleimeier, S., 2004. "Expected versus unexpected monetary policy impulses and interest rate pass-through in eurozone retail banking," Research Memorandum 001, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    4. Kerstin Bernoth & Jürgen von Hagen, 2004. "The Euribor Futures Market: Efficiency and the Impact of ECB Policy Announcements," International Finance, Wiley Blackwell, vol. 7(1), pages 1-24, March.
    5. Bernoth, Kerstin & von Hagen, Jürgen, 2003. "The performance of the Euribor futures market: Effficiency and the impact of ECB policy announcements," ZEI Working Papers B 27-2003, University of Bonn, ZEI - Center for European Integration Studies.
    6. Yin-Wong Cheung & Hung-Gay Fung, 1997. "Information Flows Between Eurodollar Spot and Futures Markets," Multinational Finance Journal, Multinational Finance Journal, vol. 1(4), pages 255-271, December.

  14. Tim Krehbiel & Lee C. Adkins, 1993. "Cointegration tests of the unbiased expectations hypothesis in metals markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 13(7), pages 753-763, October.

    Cited by:

    1. An-Sing Chen & James Wuh Lin, 2004. "Cointegration and detectable linear and nonlinear causality: analysis using the London Metal Exchange lead contract," Applied Economics, Taylor & Francis Journals, vol. 36(11), pages 1157-1167.
    2. Nidhi Choudhary & Girish K. Nair & Harsh Purohit, 2015. "Volatility In Copper Prices In India," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 10(02), pages 1-26, December.
    3. Jerry Coakley & Jian Dollery & Neil Kellard, 2011. "Long memory and structural breaks in commodity futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 31(11), pages 1076-1113, November.
    4. Adkins, Lee C & Krehbiel, Timothy & Hill, R Carter, 2000. "Using Cointegration Restrictions to Improve Inference in Vector Autoregressive Systems," Review of Quantitative Finance and Accounting, Springer, vol. 14(2), pages 193-208, March.
    5. Jabir Ali & Kriti Bardhan Gupta, 2011. "Efficiency in agricultural commodity futures markets in India," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 71(2), pages 162-178, August.
    6. Bekiros, Stelios D. & Diks, Cees G.H., 2008. "The relationship between crude oil spot and futures prices: Cointegration, linear and nonlinear causality," Energy Economics, Elsevier, vol. 30(5), pages 2673-2685, September.
    7. Sepideh Dolatabadi & Morten Ørregaard Nielsen & Ke Xu, 2014. "A fractionally cointegrated VAR analysis of price discovery in commodity futures markets," CREATES Research Papers 2014-24, Department of Economics and Business Economics, Aarhus University.
    8. Snaith, S & Kellard, NM & Ahmad, N, 2015. "Open outcry versus electronic trading: tests of market efficiency on crude palm oil futures," Essex Finance Centre Working Papers 15373, University of Essex, Essex Business School.
    9. Aruga, Kentaka & Managi, Shunsuke, 2011. "Price Linkages in the Copper Futures, Primary, and Scrap Markets," MPRA Paper 36089, University Library of Munich, Germany.
    10. Yoon, Byung-Sam & Brorsen, B. Wade, 2000. "Rollover Hedging," 2000 Conference, April 17-18 2000, Chicago, Illinois 18938, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    11. Ibikunle, Gbenga & Gregoriou, Andros & Hoepner, Andreas G.F. & Rhodes, Mark, 2016. "Liquidity and market efficiency in the world's largest carbon market," The British Accounting Review, Elsevier, vol. 48(4), pages 431-447.
    12. Manolis Kavussanos & Ilias Visvikis & David Menachof, 2005. "The Unbiasedness Hypothesis in the Freight Forward Market: Evidence from Cointegration Tests," Review of Derivatives Research, Springer, vol. 7(3), pages 241-266, October.
    13. Richard Heaney, 1998. "A Test of the cost‐of‐carry relationship using the London Metal Exchange lead contract," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 18(2), pages 177-200, April.
    14. Clinton Watkins & Michael McAleer, 2003. "Pricing of Non-ferrous Metals Futures on the London Metal Exchange," CIRJE F-Series CIRJE-F-213, CIRJE, Faculty of Economics, University of Tokyo.
    15. Robert Czudaj & Joscha Beckmann, 2012. "Spot and futures commodity markets and the unbiasedness hypothesis - evidence from a novel panel unit root test," Economics Bulletin, AccessEcon, vol. 32(2), pages 1695-1707.
    16. Shashi Gupta & Himanshu Choudhary & D. R. Agarwal, 2018. "An Empirical Analysis of Market Efficiency and Price Discovery in Indian Commodity Market," Global Business Review, International Management Institute, vol. 19(3), pages 771-789, June.
    17. Joakim Westerlund & Paresh Narayan, 2013. "Testing the Efficient Market Hypothesis in Conditionally Heteroskedastic Futures Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(11), pages 1024-1045, November.
    18. Heaney, Richard, 2002. "Does knowledge of the cost of carry model improve commodity futures price forecasting ability?: A case study using the London Metal Exchange lead contract," International Journal of Forecasting, Elsevier, vol. 18(1), pages 45-65.
    19. Li, Jia & Hanrahan, Kevin F. & McErlean, Seamus, 2004. "The Efficiency Of The Futures Market For Agricultural Commodities In The Uk," 2004 Annual meeting, August 1-4, Denver, CO 20203, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    20. Clinton Watkins & Michael McAleer, 2004. "Econometric modelling of non‐ferrous metal prices," Journal of Economic Surveys, Wiley Blackwell, vol. 18(5), pages 651-701, December.
    21. Riza Emekter & Benjamas Jirasakuldech & Peter Went, 2012. "Rational speculative bubbles and commodities markets: application of duration dependence test," Applied Financial Economics, Taylor & Francis Journals, vol. 22(7), pages 581-596, April.
    22. Donald Lien & Keshab Shrestha, 2005. "Estimating the optimal hedge ratio with focus information criterion," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 25(10), pages 1011-1024, October.
    23. Ahmed A. A. Khalifa & Hong Miao & Sanjay Ramchander, 2011. "Return distributions and volatility forecasting in metal futures markets: Evidence from gold, silver, and copper," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 31(1), pages 55-80, January.
    24. Watkins, Clinton & McAleer, Michael, 2002. "Cointegration analysis of metals futures," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 59(1), pages 207-221.

  15. Lee C. Adkins & R. Carter Hill, 1990. "The RLS Positive-Part Stein Estimator," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(3), pages 727-730.

    Cited by:

    1. Arashi, M. & Kibria, B.M. Golam & Norouzirad, M. & Nadarajah, S., 2014. "Improved preliminary test and Stein-rule Liu estimators for the ill-conditioned elliptical linear regression model," Journal of Multivariate Analysis, Elsevier, vol. 126(C), pages 53-74.
    2. Lee C. Adkins, 2013. "The Restricted Least Squares Stein-Rule in gretl," Economics Working Paper Series 1305, Oklahoma State University, Department of Economics and Legal Studies in Business.
    3. Kazuhiro Ohtani, 1998. "An MSE comparison of the restricted Stein-rule and minimum mean squared error estimators in regression," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 7(2), pages 361-376, December.

  16. Adkins, Lee C. & Hill, R. Carter, 1989. "Risk characteristics of a stein-like estimator for the probit regression model," Economics Letters, Elsevier, vol. 30(1), pages 19-26.

    Cited by:

    1. Adkins, Lee C & Krehbiel, Timothy & Hill, R Carter, 2000. "Using Cointegration Restrictions to Improve Inference in Vector Autoregressive Systems," Review of Quantitative Finance and Accounting, Springer, vol. 14(2), pages 193-208, March.
    2. Adkins, Lee C. & Eells, James B., 1995. "Improved estimators of energy models," Energy Economics, Elsevier, vol. 17(1), pages 15-25, January.
    3. Kim, Minbo & CarterHill, R., 1995. "Shrinkage estimation in nonlinear regression The Box-Cox transformation," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 1-33.
    4. S. K. Sapra, 2003. "Pre-test estimation in Poisson regression model," Applied Economics Letters, Taylor & Francis Journals, vol. 10(9), pages 541-543.
    5. Ahmed, S. Ejaz & Nicol, Christopher J., 2012. "An application of shrinkage estimation to the nonlinear regression model," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3309-3321.

Chapters

  1. Lee C. Adkins, 2009. "An Instrumental Variables Probit Estimator Using Gretl," EHUCHAPS, in: Ignacio Díaz-Emparanza & Petr Mariel & María Victoria Esteban (ed.), Econometrics with gretl. Proceedings of the gretl Conference 2009, edition 1, chapter 4, pages 59-74, Universidad del País Vasco - Facultad de Ciencias Económicas y Empresariales.

    Cited by:

    1. Rieckmann, Johannes, 2015. "Determinants of drinking water treatment and hygiene habits in provincial towns in Yemen," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113183, Verein für Socialpolitik / German Economic Association.
    2. Eric Doviak & Sean MacDonald, 2012. "Who Defaults on their Home Mortgage?," New York Economic Review, New York State Economics Association (NYSEA), vol. 43(1), pages 75-98.
    3. Abayomi Samuel Oyekale, 2018. "Determinants of households’ involvement in waste separation and collection for recycling in South Africa," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(5), pages 2343-2371, October.
    4. Gurgul, Henryk & Lach, Łukasz, 2012. "Political instability and economic growth: Evidence from two decades of transition in CEE," MPRA Paper 37792, University Library of Munich, Germany.
    5. Barbara Gomez‐Aguinaga, 2021. "One Group, Two Worlds? Latino Perceptions of Policy Salience Among Mainstream and Spanish‐Language News Consumers," Social Science Quarterly, Southwestern Social Science Association, vol. 102(1), pages 238-258, January.

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