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Yao-Yu Chih

Personal Details

First Name:Yao-Yu
Middle Name:
Last Name:Chih
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RePEc Short-ID:pch1511
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Affiliation

Department of Finance and Economics
McCoy College of Business Administration
Texas State University

San Marcos, Texas (United States)
http://fin-eco.mccoy.txstate.edu/
RePEc:edi:detxsus (more details at EDIRC)

Research output

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Jump to: Working papers Articles

Working papers

  1. LeSage, James P. & Chih, Yao-Yu & Vance, Colin, 2018. "Markov chain Monte Carlo estimation of spatial dynamic panel models for large samples," Ruhr Economic Papers 769, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.

Articles

  1. Chih, Yao-Yu & Demir, Firat & Hu, Chenghao & Liu, Junyi & Shen, Hewei, 2023. "A spatial analysis of local corruption on foreign direct investment: Evidence from Chinese cities," European Journal of Political Economy, Elsevier, vol. 79(C).
  2. Yao‐Yu Chih & Ruby P. Kishan & Andrew Ojede, 2022. "Be good to thy neighbours: A spatial analysis of foreign direct investment and economic growth in sub‐Saharan Africa," The World Economy, Wiley Blackwell, vol. 45(3), pages 657-701, March.
  3. Alexeev, Michael & Chih, Yao-Yu, 2021. "Energy price shocks and economic growth in the US: A state-level analysis," Energy Economics, Elsevier, vol. 98(C).
  4. LeSage, James P. & Chih, Yao-Yu & Vance, Colin, 2019. "Markov Chain Monte Carlo estimation of spatial dynamic panel models for large samples," Computational Statistics & Data Analysis, Elsevier, vol. 138(C), pages 107-125.
  5. LeSage, James P. & Chih, Yao-Yu, 2018. "A Bayesian spatial panel model with heterogeneous coefficients," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 58-73.
  6. Yao-Yu Chih, 2018. "Status competition and benevolence in social networks," Oxford Economic Papers, Oxford University Press, vol. 70(1), pages 141-162.
  7. LeSage, James P. & Vance, Colin & Chih, Yao-Yu, 2017. "A Bayesian heterogeneous coefficients spatial autoregressive panel data model of retail fuel duopoly pricing," Regional Science and Urban Economics, Elsevier, vol. 62(C), pages 46-55.
  8. Chih, Yao-Yu, 2016. "Social network structure and government provision crowding-out on voluntary contributions," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 63(C), pages 83-90.
  9. James Charles Joni S. & Chih Yao-Yu, 2016. "Delinquency Reinforcement and Balance: Is Exposure to Delinquent Peers Always Risky?," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 16(4), pages 1-30, October.
  10. LeSage, James P. & Chih, Yao-Yu, 2016. "Interpreting heterogeneous coefficient spatial autoregressive panel models," Economics Letters, Elsevier, vol. 142(C), pages 1-5.
  11. Michael Alexeev & Yao‐Yu Chih, 2015. "Social network structure and status competition," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 48(1), pages 64-82, February.

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. LeSage, James P. & Chih, Yao-Yu & Vance, Colin, 2018. "Markov chain Monte Carlo estimation of spatial dynamic panel models for large samples," Ruhr Economic Papers 769, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.

    Cited by:

    1. Michele Aquaro & Natalia Bailey & M. Hashem Pesaran, 2019. "Estimation and inference for spatial models with heterogeneous coefficients: an application to U.S. house prices," CESifo Working Paper Series 7542, CESifo.
    2. Edoardo Baldoni & Roberto Esposti, 2021. "Agricultural Productivity in Space: an Econometric Assessment Based on Farm‐Level Data," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(4), pages 1525-1544, August.
    3. Manfred M. Fischer & James P. LeSage, 2020. "Network dependence in multi-indexed data on international trade flows," Journal of Spatial Econometrics, Springer, vol. 1(1), pages 1-26, December.
    4. Baltagi, Badi H. & Bresson, Georges & Chaturvedi, Anoop & Lacroix, Guy, 2022. "Robust Dynamic Space-Time Panel Data Models Using ?-Contamination: An Application to Crop Yields and Climate Change," IZA Discussion Papers 15815, Institute of Labor Economics (IZA).
    5. Meseret Chanieabate & Hai He & Chuyue Guo & Betelhem Abrahamgeremew & Yuanji Huang, 2023. "Examining the Relationship between Transportation Infrastructure, Urbanization Level and Rural-Urban Income Gap in China," Sustainability, MDPI, vol. 15(10), pages 1-20, May.
    6. Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi & Guy Lacroix, 2023. "Robust dynamic space–time panel data models using $$\varepsilon $$ ε -contamination: an application to crop yields and climate change," Empirical Economics, Springer, vol. 64(6), pages 2475-2509, June.
    7. Bergantino, Angela S. & Capozza, Claudia & Intini, Mario, 2020. "Empirical investigation of retail fuel pricing: The impact of spatial interaction, competition and territorial factors," Energy Economics, Elsevier, vol. 90(C).
    8. Burnett, J. Wesley & Lacombe, Donald J. & Wallander, Steven, . "Spatial and Temporal Spillovers in US Cropland Values," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 49(1).

Articles

  1. Chih, Yao-Yu & Demir, Firat & Hu, Chenghao & Liu, Junyi & Shen, Hewei, 2023. "A spatial analysis of local corruption on foreign direct investment: Evidence from Chinese cities," European Journal of Political Economy, Elsevier, vol. 79(C).

    Cited by:

    1. Yang, Li & Milanovic, Branko & Lin, Yaoqi, 2023. "Anti-Corruption Campaign in China: An Empirical Investigation," SocArXiv b3jze, Center for Open Science.
    2. Xuekelaiti Haiyirete & Jian Wang & Ayiguzhali Tuluhong & Hao Zhang, 2024. "Analysis of Multinational Builders’ Corruption Based on Evolutionary Game from the Perspective of International Reputation," Sustainability, MDPI, vol. 16(5), pages 1-17, February.

  2. Yao‐Yu Chih & Ruby P. Kishan & Andrew Ojede, 2022. "Be good to thy neighbours: A spatial analysis of foreign direct investment and economic growth in sub‐Saharan Africa," The World Economy, Wiley Blackwell, vol. 45(3), pages 657-701, March.

    Cited by:

    1. Nan, Shijing & Huo, Yuchen & You, Wanhai & Guo, Yawei, 2022. "Globalization spatial spillover effects and carbon emissions: What is the role of economic complexity?," Energy Economics, Elsevier, vol. 112(C).
    2. Vanessa da Silva Mariotto Onody & Ana Catarina Gandra de Carvalho & Eduardo Polloni-Silva & Guilherme Augusto Roiz & Enzo Barberio Mariano & Daisy Aparecida Nascimento Rebelatto & Herick Fernando Mora, 2022. "Corruption and FDI in Brazil: Contesting the “Sand” or “Grease” Hypotheses," Sustainability, MDPI, vol. 14(10), pages 1-18, May.

  3. Alexeev, Michael & Chih, Yao-Yu, 2021. "Energy price shocks and economic growth in the US: A state-level analysis," Energy Economics, Elsevier, vol. 98(C).

    Cited by:

    1. Khamdan Rifa'i, 2023. "The Economic Impact of the US Unconventional Monetary Policy, Global Commodity Shocks, and Oil Price Shocks on ASEAN 3," International Journal of Energy Economics and Policy, Econjournals, vol. 13(5), pages 616-624, September.
    2. Martin Enilov, 2024. "The predictive power of commodity prices for future economic growth: Evaluating the role of economic development," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(3), pages 3040-3062, July.
    3. Charles O. Manasseh & Nnah M. Iroha & Kingsley I. Okere & Ifeoma C. Nwakoby & Ogochukwu C. Okanya & Nnenna Nwonye & Onuselogu Odidi & Oliver I. Inyiama, 2022. "Application of Markov chain to share price movement in Nigeria (1985–2019)," Future Business Journal, Springer, vol. 8(1), pages 1-14, December.
    4. Dang, Tam Hoang-Nhat & Nguyen, Canh Phuc & Lee, Gabriel S. & Nguyen, Binh Quang & Le, Thuy Thu, 2023. "Measuring the energy-related uncertainty index," Energy Economics, Elsevier, vol. 124(C).
    5. Xiao, Jihong & Wang, Yudong, 2022. "Macroeconomic uncertainty, speculation, and energy futures returns: Evidence from a quantile regression," Energy, Elsevier, vol. 241(C).
    6. Zhao, Jun & Wang, Bo & Dong, Kangyin & Shahbaz, Muhammad & Ni, Guohua, 2023. "How do energy price shocks affect global economic stability? Reflection on geopolitical conflicts," Energy Economics, Elsevier, vol. 126(C).
    7. Rehman, Mobeen Ur & Vo, Xuan Vinh & McIver, Ron & Kang, Sang Hoon, 2022. "Sensitivity of US sectoral returns to energy commodities under different investment horizons and market conditions," Energy Economics, Elsevier, vol. 108(C).
    8. Duparc-Portier, Geoffroy & Figus, Gioele, 2024. "How should governments respond to energy price crises? A horse-race between fiscal policies," Energy Economics, Elsevier, vol. 130(C).
    9. Pham, Son Duy & Nguyen, Thao Thac Thanh & Do, Hung Xuan, 2023. "Natural gas and the utility sector nexus in the U.S.: Quantile connectedness and portfolio implications," Energy Economics, Elsevier, vol. 120(C).

  4. LeSage, James P. & Chih, Yao-Yu & Vance, Colin, 2019. "Markov Chain Monte Carlo estimation of spatial dynamic panel models for large samples," Computational Statistics & Data Analysis, Elsevier, vol. 138(C), pages 107-125.
    See citations under working paper version above.
  5. LeSage, James P. & Chih, Yao-Yu, 2018. "A Bayesian spatial panel model with heterogeneous coefficients," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 58-73.

    Cited by:

    1. Junyue Wu & Yasumasa Matsuda, 2021. "A threshold extension of spatial dynamic panel model with fixed effects," Journal of Spatial Econometrics, Springer, vol. 2(1), pages 1-30, December.
    2. Michele Aquaro & Natalia Bailey & M. Hashem Pesaran, 2019. "Estimation and inference for spatial models with heterogeneous coefficients: an application to U.S. house prices," CESifo Working Paper Series 7542, CESifo.
    3. Gianfranco Piras & Mauricio Sarrias, 2023. "Heterogeneous spatial models in R: spatial regimes models," Journal of Spatial Econometrics, Springer, vol. 4(1), pages 1-32, December.
    4. Tamás Krisztin & Philipp Piribauer, 2021. "A Bayesian Spatial Autoregressive Logit Model With An Empirical Application to European Regional FDI Flows," WIFO Working Papers 586, WIFO.
    5. Margaretic, Paula & Cifuentes, Rodrigo & Carreño, José Gabriel, 2021. "Banks’ interconnections and peer effects: Evidence from Chile," Research in International Business and Finance, Elsevier, vol. 58(C).
    6. Hou, Zhezhi & Jin, Man & Kumbhakar, Subal C., 2020. "Productivity spillovers and human capital: A semiparametric varying coefficient approach," European Journal of Operational Research, Elsevier, vol. 287(1), pages 317-330.
    7. Nicolas Debarsy & Cyrille Dossougoin & Cem Ertur & Jean-Yves Gnabo, 2018. "Measuring sovereign risk spillovers and assessing the role of transmission channels: A spatial econometrics approach," Post-Print hal-01744629, HAL.
    8. Gude, Alberto & Álvarez, Inmaculada C. & Orea, Luis, 2017. "Heterogeneous spillovers among Spanish provinces: A generalized spatial stochastic frontier model," Efficiency Series Papers 2017/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    9. Huang, Danyang & Hu, Wei & Jing, Bingyi & Zhang, Bo, 2023. "Grouped spatial autoregressive model," Computational Statistics & Data Analysis, Elsevier, vol. 178(C).
    10. Tamás Krisztin & Philipp Piribauer & Michael Wögerer, 2020. "The spatial econometrics of the coronavirus pandemic," Letters in Spatial and Resource Sciences, Springer, vol. 13(3), pages 209-218, December.
    11. Orea, Luis & Álvarez, Inmaculada C., 2019. "Spatial Production Economics," Efficiency Series Papers 2019/06, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    12. Mark J. Holmes & Jesús Otero, 2022. "The wage curve within and across regions: new insights from a pairwise view of US states," Empirical Economics, Springer, vol. 62(5), pages 2069-2089, May.
    13. Debarsy, Nicolas & Yang, Zhenlin, 2018. "Editorial for the special issue entitled: New advances in spatial econometrics: Interactions matter," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 1-5.
    14. Chen, Jia & Shin, Yongcheol & Zheng, Chaowen, 2022. "Estimation and inference in heterogeneous spatial panels with a multifactor error structure," Journal of Econometrics, Elsevier, vol. 229(1), pages 55-79.

  6. LeSage, James P. & Vance, Colin & Chih, Yao-Yu, 2017. "A Bayesian heterogeneous coefficients spatial autoregressive panel data model of retail fuel duopoly pricing," Regional Science and Urban Economics, Elsevier, vol. 62(C), pages 46-55.

    Cited by:

    1. Xu, Yuhong & Yang, Zhenlin, 2020. "Specification Tests for Temporal Heterogeneity in Spatial Panel Data Models with Fixed Effects," Regional Science and Urban Economics, Elsevier, vol. 81(C).
    2. Frondel, Manuel & Horvath, Marco & Vance, Colin & Kihm, Alexander, 2019. "Increased market transparency in Germany's gasoline market: What about rockets and feathers?," Ruhr Economic Papers 810, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    3. LeSage, James P. & Chih, Yao-Yu & Vance, Colin, 2018. "Markov chain Monte Carlo estimation of spatial dynamic panel models for large samples," Ruhr Economic Papers 769, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    4. Funashima, Yoshito & Ohtsuka, Yoshihiro, 2019. "Spatial crowding-out and crowding-in effects of government spending on the private sector in Japan," Regional Science and Urban Economics, Elsevier, vol. 75(C), pages 35-48.
    5. Horvath, Marco, 2019. "Germany's market transparency unit for fuels: Fostering collusion or competition?," Ruhr Economic Papers 836, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    6. Sommer, Stephan & Vance, Colin, 2021. "Do more chargers mean more electric cars?," Ruhr Economic Papers 893, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    7. Thomas Suesse, 2018. "Estimation of spatial autoregressive models with measurement error for large data sets," Computational Statistics, Springer, vol. 33(4), pages 1627-1648, December.
    8. Elhorst, Paul & Faems, Dries, 2021. "Evaluating proposals in innovation contests: Exploring negative scoring spillovers in the absence of a strict evaluation sequence," Research Policy, Elsevier, vol. 50(4).
    9. Bergantino, Angela S. & Capozza, Claudia & Intini, Mario, 2020. "Empirical investigation of retail fuel pricing: The impact of spatial interaction, competition and territorial factors," Energy Economics, Elsevier, vol. 90(C).
    10. Cornwall, Gary J. & Parent, Olivier, 2017. "Embracing heterogeneity: the spatial autoregressive mixture model," Regional Science and Urban Economics, Elsevier, vol. 64(C), pages 148-161.
    11. J. Paul Elhorst, 2022. "The dynamic general nesting spatial econometric model for spatial panels with common factors: Further raising the bar," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 42(3), pages 249-267, December.

  7. Chih, Yao-Yu, 2016. "Social network structure and government provision crowding-out on voluntary contributions," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 63(C), pages 83-90.

    Cited by:

    1. Heath Henderson & Arnob Alam, 2022. "The structure of risk-sharing networks," Empirical Economics, Springer, vol. 62(2), pages 853-886, February.

  8. LeSage, James P. & Chih, Yao-Yu, 2016. "Interpreting heterogeneous coefficient spatial autoregressive panel models," Economics Letters, Elsevier, vol. 142(C), pages 1-5.

    Cited by:

    1. Miranda, Karen & Martínez Ibáñez, Oscar & Manjón Antolín, Miguel C., 2016. "Estimating individual effects and their spatial spillovers in linear panel data models: Public capital spillovers after all?," Working Papers 2072/321479, Universitat Rovira i Virgili, Department of Economics.
    2. Michele Aquaro & Natalia Bailey & M. Hashem Pesaran, 2019. "Estimation and inference for spatial models with heterogeneous coefficients: an application to U.S. house prices," CESifo Working Paper Series 7542, CESifo.
    3. Ge, S., 2020. "Text-Based Linkages and Local Risk Spillovers in the Equity Market," Cambridge Working Papers in Economics 20115, Faculty of Economics, University of Cambridge.
    4. Camilla Mastromarco & Laura Serlenga & Yongcheol Shin, 2023. "Regional Productivity Network in the EU," CESifo Working Paper Series 10404, CESifo.
    5. Corinne Autant-Bernard & James P. Lesage, 2017. "A heterogeneous coefficient approach to the knowledge production function," Post-Print halshs-01661087, HAL.
    6. J. Paul Elhorst & Marco Gross & Eugen Tereanu, 2021. "Cross‐Sectional Dependence And Spillovers In Space And Time: Where Spatial Econometrics And Global Var Models Meet," Journal of Economic Surveys, Wiley Blackwell, vol. 35(1), pages 192-226, February.
    7. Gude, Alberto & Álvarez, Inmaculada C. & Orea, Luis, 2017. "Heterogeneous spillovers among Spanish provinces: A generalized spatial stochastic frontier model," Efficiency Series Papers 2017/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    8. Thomas-Agnan, Christine & Laurent, Thibault & Ruiz-Gazen, Anne, 2020. "Covariates impacts in spatial autoregressive models for compositional data," TSE Working Papers 20-1162, Toulouse School of Economics (TSE), revised Oct 2021.
    9. Isabel Proença & Ludgero Glórias, 2021. "Revisiting the Spatial Autoregressive Exponential Model for Counts and Other Nonnegative Variables, with Application to the Knowledge Production Function," Sustainability, MDPI, vol. 13(5), pages 1-22, March.
    10. Giuseppe Arbia & Anil K. Bera & Osman Doğan & Süleyman Taşpınar, 2020. "Testing Impact Measures in Spatial Autoregressive Models," International Regional Science Review, , vol. 43(1-2), pages 40-75, January.
    11. Niko Hauzenberger & Michael Pfarrhofer, 2021. "Bayesian State‐Space Modeling for Analyzing Heterogeneous Network Effects of US Monetary Policy," Scandinavian Journal of Economics, Wiley Blackwell, vol. 123(4), pages 1261-1291, October.
    12. Adolfo Maza & Paula Gutiérrez‐Portilla & José Villaverde, 2020. "On the drivers of UK direct investment in the Spanish regions: A spatial Durbin approach," Growth and Change, Wiley Blackwell, vol. 51(2), pages 646-675, June.
    13. Orea, Luis & Álvarez, Inmaculada C., 2019. "Spatial Production Economics," Efficiency Series Papers 2019/06, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    14. Michael Alexeev & Yao-Yu Chih, 2017. "Oil Price Shocks and Economic Growth in the Us," CAEPR Working Papers 2017-011, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    15. LeSage, James P. & Chih, Yao-Yu, 2018. "A Bayesian spatial panel model with heterogeneous coefficients," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 58-73.
    16. Elhorst, J. Paul & Emili, Silvia, 2022. "A spatial econometric multivariate model of Okun's law," Regional Science and Urban Economics, Elsevier, vol. 93(C).
    17. Edoardo Otranto & Massimo Mucciardi, 2019. "Clustering space-time series: FSTAR as a flexible STAR approach," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 13(1), pages 175-199, March.
    18. Yuxue Sheng & James Paul LeSage, 2021. "Interpreting spatial regression models with multiplicative interaction explanatory variables," Journal of Geographical Systems, Springer, vol. 23(3), pages 333-360, July.
    19. Debarsy, Nicolas & Yang, Zhenlin, 2018. "Editorial for the special issue entitled: New advances in spatial econometrics: Interactions matter," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 1-5.
    20. Miranda, Karen & Martínez Ibáñez, Oscar & Manjón Antolín, Miguel C., 2018. "A correlated random effects spatial Durbin model," Working Papers 2072/313840, Universitat Rovira i Virgili, Department of Economics.
    21. Yao‐Yu Chih & Ruby P. Kishan & Andrew Ojede, 2022. "Be good to thy neighbours: A spatial analysis of foreign direct investment and economic growth in sub‐Saharan Africa," The World Economy, Wiley Blackwell, vol. 45(3), pages 657-701, March.
    22. Zeno Adams & Kristian Blickle, 2018. "Immigration And The Displacement of Incumbent Households," Working Papers on Finance 1809, University of St. Gallen, School of Finance.
    23. Cornwall, Gary J. & Parent, Olivier, 2017. "Embracing heterogeneity: the spatial autoregressive mixture model," Regional Science and Urban Economics, Elsevier, vol. 64(C), pages 148-161.
    24. Chen, Jia & Shin, Yongcheol & Zheng, Chaowen, 2022. "Estimation and inference in heterogeneous spatial panels with a multifactor error structure," Journal of Econometrics, Elsevier, vol. 229(1), pages 55-79.
    25. E. Otranto & M. Mucciardi, 2017. "Clustering Space-Time Series: A Flexible STAR Approach," Working Paper CRENoS 201707, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.

  9. Michael Alexeev & Yao‐Yu Chih, 2015. "Social network structure and status competition," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 48(1), pages 64-82, February.

    Cited by:

    1. Yan, Eric & Feng, Qu & Ng, Yew-Kwang, 2021. "Do we need ramsey taxation? Our existing taxes are largely corrective," Economic Modelling, Elsevier, vol. 94(C), pages 526-538.
    2. Yao-Yu Chih, 2018. "Status competition and benevolence in social networks," Oxford Economic Papers, Oxford University Press, vol. 70(1), pages 141-162.
    3. Zhenhua Feng & Jaimie W. Lien & Jie Zheng, 2018. "Keeping up with the Neighbors: Social Interaction in a Production Economy," Mathematics, MDPI, vol. 6(9), pages 1-14, September.
    4. Zeng Lian & Jaimie W. Lien & Lin Lu & Jie Zheng, 2021. "International trade with social comparisons," Review of International Economics, Wiley Blackwell, vol. 29(3), pages 533-556, August.
    5. Huang, Shaoan & Lien, Jaimie W. & Yang, Siqun & Zheng, Jie, 2024. "Lump-sum tax or flat income tax? Welfare implications of taxation policy in the presence of social comparison," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 20-33.

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NEP Fields

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-DCM: Discrete Choice Models (1) 2019-01-28. Author is listed
  2. NEP-ECM: Econometrics (1) 2019-01-28. Author is listed
  3. NEP-ORE: Operations Research (1) 2019-01-28. Author is listed

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