Relevant bibliographies by topics / Economics – Statistical models

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Economics – Statistical models'

Author: Grafiati
Published: 10 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Economics – Statistical models"

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de Paula, Áureo. "Econometric Models of Network Formation." Annual Review of Economics 12, no. 1 (2020): 775–99. http://dx.doi.org/10.1146/annurev-economics-093019-113859.

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This article provides a selective review of the recent literature on econometric models of network formation. I start with a brief exposition on basic concepts and tools for the statistical description of networks; then I offer a review of dyadic models, focusing on statistical models on pairs of nodes, and I describe several developments of interest to the econometrics literature. I also present a discussion of nondyadic models in which link formation might be influenced by the presence or absence of additional links, which themselves are subject to similar influences. This argument is relate
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Rajan, Uday, Amit Seru, and Vikrant Vig. "Statistical Default Models and Incentives." American Economic Review 100, no. 2 (2010): 506–10. http://dx.doi.org/10.1257/aer.100.2.506.

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Wolak, Frank A., and A. Ronald Gallant. "Nonlinear Statistical Models." Journal of Business & Economic Statistics 6, no. 4 (1988): 518. http://dx.doi.org/10.2307/1391473.

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Robinson, P. M., J. Pfanzagl, and W. Wefelmeyer. "Asymptotic Expansions for General Statistical Models." Economica 54, no. 214 (1987): 268. http://dx.doi.org/10.2307/2554408.

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Bayón, L., and R. García-Rubio. "New computational and statistical models in science and economics." International Journal of Computer Mathematics 92, no. 9 (2015): 1729–32. http://dx.doi.org/10.1080/00207160.2015.1049010.

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Canova, Fabio. "Statistical inference in calibrated models." Journal of Applied Econometrics 9, S1 (1994): S123—S144. http://dx.doi.org/10.1002/jae.3950090508.

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Dewey, M., D. Clayton, and M. Hills. "Statistical Models in Epidemiology." Journal of the Royal Statistical Society. Series A (Statistics in Society) 158, no. 2 (1995): 343. http://dx.doi.org/10.2307/2983301.

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Branch, William A., Bruce McGough, and Mei Zhu. "Statistical sunspots." Theoretical Economics 17, no. 1 (2022): 291–329. http://dx.doi.org/10.3982/te3752.

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This paper shows that belief‐driven economic fluctuations are a general feature of many determinate macroeconomic models. In environments with hidden state variables, forecast‐model misspecification can break the link between indeterminacy and sunspots by establishing the existence of “statistical sunspots” in models that have a unique rational expectations equilibrium. To form expectations, agents regress on a set of observables that can include serially correlated nonfundamental factors (e.g., sunspots, judgment, expectations shocks, etc.). In equilibrium, agents attribute, in a self‐fulfill
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Krebs, Tom. "Statistical Equilibrium in One-Step Forward Looking Economic Models." Journal of Economic Theory 73, no. 2 (1997): 365–94. http://dx.doi.org/10.1006/jeth.1996.2231.

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Consolo, Agostino, Carlo A. Favero, and Alessia Paccagnini. "On the statistical identification of DSGE models." Journal of Econometrics 150, no. 1 (2009): 99–115. http://dx.doi.org/10.1016/j.jeconom.2009.02.012.

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Dissertations / Theses on the topic "Economics – Statistical models"

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Tabri, Rami. "Emprical likelihood and constrained statistical inference for some moment inequality models." Thesis, McGill University, 2013. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=119408.

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The principal purpose of this thesis is to extend empirical likelihood (EL) based procedures to some statistical models defined by unconditional moment inequalities. We develop EL procedures for two such models in the thesis. In the first type of model, the underlying probability distribution is the (infinite-dimensional) parameter of interest, and is defined by a continuum of moment inequalities indexed by a general class of estimating functions. We develop the EL estimation theory using a feasible-value-function approach, and demonstrate the uniform consistency of the estimator over the set
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Chow, Fung-kiu, and 鄒鳳嬌. "Modeling the minority-seeking behavior in complex adaptive systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2003. http://hub.hku.hk/bib/B29367487.

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Cutugno, Carmen. "Statistical models for the corporate financial distress prediction." Thesis, Università degli Studi di Catania, 2011. http://hdl.handle.net/10761/283.

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Grayson, James M. (James Morris). "Economic Statistical Design of Inverse Gaussian Distribution Control Charts." Thesis, University of North Texas, 1990. https://digital.library.unt.edu/ark:/67531/metadc332397/.

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Statistical quality control (SQC) is one technique companies are using in the development of a Total Quality Management (TQM) culture. Shewhart control charts, a widely used SQC tool, rely on an underlying normal distribution of the data. Often data are skewed. The inverse Gaussian distribution is a probability distribution that is wellsuited to handling skewed data. This analysis develops models and a set of tools usable by practitioners for the constrained economic statistical design of control charts for inverse Gaussian distribution process centrality and process dispersion. The use of thi
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Valero, Rafael. "Essays on Sparse-Grids and Statistical-Learning Methods in Economics." Doctoral thesis, Universidad de Alicante, 2017. http://hdl.handle.net/10045/71368.

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Compuesta por tres capítulos: El primero es un estudio sobre la implementación the Sparse Grid métodos para es el estudio de modelos económicos con muchas dimensiones. Llevado a cabo mediante aplicaciones noveles del método de Smolyak con el objetivo de favorecer la tratabilidad y obtener resultados preciso. Los resultados muestran mejoras en la eficiencia de la implementación de modelos con múltiples agentes. El segundo capítulo introduce una nueva metodología para la evaluación de políticas económicas, llamada Synthetic Control with Statistical Learning, todo ello aplicado a políticas partic
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Donnelly, James P. "NFL Betting Market: Using Adjusted Statistics to Test Market Efficiency and Build a Betting Model." Scholarship @ Claremont, 2013. http://scholarship.claremont.edu/cmc_theses/721.

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The use of statistical analysis has been prevalent in the sports gambling industry for years. More recently, we have seen the emergence of "adjusted statistics", a more sophisticated way to examine each play and each result (further explanation below). And while adjusted statistics have become commonplace for professional and recreational bettors alike, little research has been done to justify their use. In this paper the effectiveness of this data is tested on the most heavily wagered sport in the world – the National Football League (NFL). The results are studied with two central questions i
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Putnam, Kyle J. "Two Essays in Financial Economics." ScholarWorks@UNO, 2015. http://scholarworks.uno.edu/td/2010.

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The following dissertation contains two distinct empirical essays which contribute to the overall field of Financial Economics. Chapter 1, entitled “The Determinants of Dynamic Dependence: An Analysis of Commodity Futures and Equity Markets,” examines the determinants of the dynamic equity-commodity return correlations between five commodity futures sub-sectors (energy, foods and fibers, grains and oilseeds, livestock, and precious metals) and a value-weighted equity market index (S&P 500). The study utilizes the traditional DCC model, as well as three time-varying copulas: (i) the normal copu
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Ekiz, Funda. "Cagan Type Rational Expectations Model on Time Scales with Their Applications to Economics." TopSCHOLAR®, 2011. http://digitalcommons.wku.edu/theses/1126.

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Rational expectations provide people or economic agents making future decision with available information and past experiences. The first approach to the idea of rational expectations was given approximately fifty years ago by John F. Muth. Many models in economics have been studied using the rational expectations idea. The most familiar one among them is the rational expectations version of the Cagans hyperination model where the expectation for tomorrow is formed using all the information available today. This model was reinterpreted by Thomas J. Sargent and Neil Wallace in 1973. After that
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Wang, Junyi. "A Normal Truncated Skewed-Laplace Model in Stochastic Frontier Analysis." TopSCHOLAR®, 2012. http://digitalcommons.wku.edu/theses/1177.

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Stochastic frontier analysis is an exciting method of economic production modeling that is relevant to hospitals, stock markets, manufacturing factories, and services. In this paper, we create a new model using the normal distribution and truncated skew-Laplace distribution, namely the normal-truncated skew-Laplace model. This is a generalized model of the normal-exponential case. Furthermore, we compute the true technical efficiency and estimated technical efficiency of the normal-truncated skewed-Laplace model. Also, we compare the technical efficiencies of normal-truncated skewed-Laplace mo
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Bury, Thomas. "Collective behaviours in the stock market: a maximum entropy approach." Doctoral thesis, Universite Libre de Bruxelles, 2014. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209341.

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Scale invariance, collective behaviours and structural reorganization are crucial for portfolio management (portfolio composition, hedging, alternative definition of risk, etc.). This lack of any characteristic scale and such elaborated behaviours find their origin in the theory of complex systems. There are several mechanisms which generate scale invariance but maximum entropy models are able to explain both scale invariance and collective behaviours.<p>The study of the structure and collective modes of financial markets attracts more and more attention. It has been shown that some agent base
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Books on the topic "Economics – Statistical models"

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1944-, Schofield Norman, ed. Advanced statistical methods in economics. Holt Rinehart and Winston, 1986.

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Norman, Schofield, ed. Advanced statistical methods in economics. Holt, Rinehart and Winston, 1986.

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Lewis, Margaret. Applied statistics for economists. Routledge, 2011.

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Urbain, Jean-Pierre. Exogeneity in error correction models. Springer-Verlag, 1993.

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Jean, Boivin. DSGE models in a data-rich environment. National Bureau of Economic Research, 2006.

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Fuente, Angel de la. Mathematical methods and models for economists. Cambridge University Press, 1999.

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L, Bajari Patrick, and National Bureau of Economic Research., eds. Estimating static models of strategic interaction. National Bureau of Economic Research, 2006.

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Myerson, Roger B. Probability models for economic decisions. Thomson/Brooke/Cole, 2005.

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author, Farcomeni Alessio, and Pennoni Fulvia author, eds. Latent Markov models for longitudinal data. CRC Press, 2013.

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N, Goh T., and Kuralmani V, eds. Statistical models and control charts for high-quality processes. Kluwer Academic Publishers, 2002.

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Book chapters on the topic "Economics – Statistical models"

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Yezer, Anthony M. "Statistical Problems in Testing Models of Crime." In Economics of Crime and Enforcement, 2nd ed. Routledge, 2025. https://doi.org/10.4324/9781003521594-15.

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Snijders, Tom, and Marijtje van Duijn. "Simulation for Statistical Inference in Dynamic Network Models." In Lecture Notes in Economics and Mathematical Systems. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-662-03366-1_38.

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Buckmann, Marcus, Andreas Joseph, and Helena Robertson. "Opening the Black Box: Machine Learning Interpretability and Inference Tools with an Application to Economic Forecasting." In Data Science for Economics and Finance. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66891-4_3.

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AbstractWe present a comprehensive comparative case study for the use of machine learning models for macroeconomics forecasting. We find that machine learning models mostly outperform conventional econometric approaches in forecasting changes in US unemployment on a 1-year horizon. To address the black box critique of machine learning models, we apply and compare two variables attribution methods: permutation importance and Shapley values. While the aggregate information derived from both approaches is broadly in line, Shapley values offer several advantages, such as the discovery of unknown f
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Lux, Thomas. "Masanao Aoki’s Solution to the Finite Size Effect of Behavioral Finance Models." In Complexity, Heterogeneity, and the Methods of Statistical Physics in Economics. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4806-2_4.

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Schnedler, Wendelin. "Statistical Model and Empirical Evidence." In Contributions to Economics. Physica-Verlag HD, 2004. http://dx.doi.org/10.1007/978-3-7908-2706-4_4.

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Vandin, Andrea, Daniele Giachini, Francesco Lamperti, and Francesca Chiaromonte. "MultiVeStA: Statistical Analysis of Economic Agent-Based Models by Statistical Model Checking." In From Data to Models and Back. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16011-0_1.

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Varriale, Roberta, Fabiana Rocci, and Orietta Luzi. "Total Process Error framework: an application to economic statistical registers." In Proceedings e report. Firenze University Press, 2021. http://dx.doi.org/10.36253/978-88-5518-461-8.28.

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In recent years, the Italian national institute of statistics (Istat), together with most National Statistical Institutes, is progressively moving from traditional production models based on the use of primary source of information - represented by direct surveys - to new production strategies based on the combined use of different primary and secondary sources of information. As result, new multisource statistical processes have been built, that guarantee a major improvement of both amount and quality of information about several phenomena of public interest. In this context, the Total Proces
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Price, Colin. "The Statistical Basis of Valuation: The Hedonic House Price Model." In Landscape Economics. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54873-9_12.

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Sarker, Mitalee, and Stefan Wesner. "Statistical Model Based Cloud Resource Management." In Economics of Grids, Clouds, Systems, and Services. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-13342-9_9.

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Nguyen, Bao Hoang, Robin C. Sickles, and Valentin Zelenyuk. "Efficiency Analysis with Stochastic Frontier Models Using Popular Statistical Softwares." In Advances in Economic Measurement. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2023-3_3.

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Conference papers on the topic "Economics – Statistical models"

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Hall, Russell K. "Evaluating Resource Plays with Statistical Models." In Hydrocarbon Economics and Evaluation Symposium. Society of Petroleum Engineers, 2007. http://dx.doi.org/10.2118/107435-ms.

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Stachová, Mária, and Pavol Kráľ. "Statistical Learning Methods in Corporate Financial Distress Prediction of Slovak Enterprises: Comparison of Alternative Models." In International Days of Statistics and Economics 2019. Libuše Macáková, MELANDRIUM, 2019. http://dx.doi.org/10.18267/pr.2019.los.186.144.

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Chuprov, S. V. "Digital Activation and Statistical Modeling of Effective Innovative Working of Industrial System." In International Conference on Finance, Economics, Management and IT Business (FEMIB 2024). Crossref, 2025. https://doi.org/10.63550/iceip.2025.67.33.001.

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Against the background of digital activation, the analytics of the effective functioning of the industrial system in the information and intellectual environment is based on the statistical concept of V.A. Trapeznikov on the dependence of the effect of the functioning of the controlled complex on the amount of control information entered into it and the logistic equation (the Verhulst and Redenour models). The state and prospects of digital transformation and maturity of Russian enterprises are revealed. The conclusions of the analysis of the logistic model presented in the article expand the
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Goldberg, Karin, and Lucas Goldberg Da Rosa. "APPLYING STATISTICAL ANALYSIS AND ECONOMICS MODELS TO UNSCRAMBLE THE DEPOSITIONAL SIGNALS FROM CHEMICAL PROXIES IN BLACK SHALES." In GSA Connects 2022 meeting in Denver, Colorado. Geological Society of America, 2022. http://dx.doi.org/10.1130/abs/2022am-378672.

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Samadi, Dr S. Yaser. "Enhancing Business and Financial Analysis through Reduced-Rank Envelope Vector Autoregressive Models." In 5th World Conference on Business, Management, Finance, Economics, and Marketing. Eurasia Conferences, 2024. http://dx.doi.org/10.62422/978-81-968539-6-9-018.

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Vector autoregressive (VAR) models have historically been favored for their adaptability and simplicity in modeling multivariate time series data. However, the VAR framework often encounters overparameterization issues, particularly in high-dimensional time series datasets, limiting the incorporation of variables and lags. Several statistical approaches have been proposed to address dimension reduction in VAR models, yet, they prove inefficient in extracting relevant information from complex datasets, as they fail to distinguish between information aligned with scientific objectives and are al
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Adámek, Pavel, and Lucie Meixnerová. "Changes and Adaptations of Business Models Caused by the Crisis Scenario." In Seventh International Scientific-Business Conference LIMEN Leadership, Innovation, Management and Economics: Integrated Politics of Research. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2021. http://dx.doi.org/10.31410/limen.s.p.2021.9.

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Due to the fast-changing environment caused by the impact of the pandemic, a response to companies’ behavior is inevitable. These pan­demic crisis scenario triggers searching for changes, adjustment, and adap­tation of business models to seek new opportunities for competitive advan­tage. Therefore, the paper aims to analyze, identify and evaluate the impact of a pandemic on a firm´s business model, specifically to changes in its busi­ness elements. The research methodology applies a statistical apparatus mainly the Mann-Whitney U test, using the econometric software EViews for identifying the
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Horák, Jakub, Petr Šuleř, and Jaromír Vrbka. "Comparison of neural networks and regression time series when predicting the export development from the USA to PRC." In Contemporary Issues in Business, Management and Economics Engineering. Vilnius Gediminas Technical University, 2019. http://dx.doi.org/10.3846/cibmee.2019.017.

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Purpose – artificial neural networks are compared with mixed conclusions in terms of forecasting performance. The most researches indicate that deep-learning models are better than traditional statistical or mathematical models. The purpose of the article is to compare the accuracy of equalizing time series by means of regression analysis and neural networks on the example of the USA export to China. The aim is to show the possible uses and advantages of neural networks in practice. Research methodology – the period for which the data (USA export to the PRC) are available is the monthly balanc
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Karagiannidis, Pavlos, and Nikolaos Themelis. "Data-Driven Ship Propulsion Modeling with Artificial Neural Networks." In SNAME 7th International Symposium on Ship Operations, Management and Economics. SNAME, 2021. http://dx.doi.org/10.5957/some-2021-011.

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The paper examines data-driven techniques for the modeling of ship propulsion that could support a strategy for the reduction of emissions and be utilized for the optimization of a fleet’s operations. A large, high-frequency and automated collected data set is exploited for producing models that estimate the required shaft power or main engine’s fuel consumption of a container ship sailing under arbitrary conditions. A variety of statistical calculations and algorithms for data processing are implemented and state-of-the-art techniques for training and optimizing Feed-Forward Neural Networks (
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Liodorova, Julija, and Irina Voronova. "Z-score and P-score for bankruptcy fraud detection: a case of the construction sector in Latvia." In Contemporary Issues in Business, Management and Economics Engineering. Vilnius Gediminas Technical University, 2019. http://dx.doi.org/10.3846/cibmee.2019.029.

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To protect investment and ensure repayment of payables, recent studies have focused on identifying the relationships between company bankruptcy and internal fraud. The P-score model that is based on the most popular Altman Z-score model has been developed to indicate the manipulation of financial statements. Purpose of the study is to determinate the accuracy and the feasibility of P-score and Z-score models to detect fraudulent bankruptcy in regional conditions, based on reports of the Latvian construction companies that failed due to fraud, and during the verification of other known data. Re
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Tonković Pražić, Ivana. "INFLUENCE OF PERSONAL VALUES ON CONSUMER CHOICE AND INTENTION TO BUY: A CASE OF CROATIAN AUTOMOBILE MARKET." In Fourth International Scientific Conference ITEMA Recent Advances in Information Technology, Tourism, Economics, Management and Agriculture. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2020. http://dx.doi.org/10.31410/itema.s.p.2020.117.

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This paper aimed to identify the factors and segments of car buyers based on their personal values and analyzing their relation to car buyers’ choice and intention to buy. A survey involving 561 participants was conducted using the PVQ scale and additional questions about car-buying behavior. Upon collecting the data, statistical analysis was conducted that allowed for nine value types to be successfully distinguished among car buyers: benevolence, universalism, self-direction, stimulation, hedonism, achievement, and power, security, conformity, and tradition. Additionally, based on the abovem
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Reports on the topic "Economics – Statistical models"

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Соловйов, Володимир Миколайович, and D. N. Chabanenko. Financial crisis phenomena: analysis, simulation and prediction. Econophysic’s approach. Гумбольдт-Клуб Україна, 2009. http://dx.doi.org/10.31812/0564/1138.

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With the beginning of the global financial crisis, which attracts the attention of the international community, the inability of existing methods to predict the events became obvious. Creation, testing, adaptation of the models to the concrete financial market segments for the purpose of monitoring, early prediction, prevention and notification of financial crises is gaining currency nowadays. Econophysics is an interdisciplinary research field, applying theories and methods originally developed by physicists in order to solve problems in economics, usually those including uncertainty or stoch
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Hlushak, Oksana M., Svetlana O. Semenyaka, Volodymyr V. Proshkin, Stanislav V. Sapozhnykov, and Oksana S. Lytvyn. The usage of digital technologies in the university training of future bachelors (having been based on the data of mathematical subjects). [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3860.

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This article demonstrates that mathematics in the system of higher education has outgrown the status of the general education subject and should become an integral part of the professional training of future bachelors, including economists, on the basis of intersubject connection with special subjects. Such aspects as the importance of improving the scientific and methodological support of mathematical training of students by means of digital technologies are revealed. It is specified that in order to implement the task of qualified training of students learning econometrics and economic and m
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Perfit, Janine, Mariko Russell, and Jorge E. Muñoz-Ayala. Improving the Quality of Statistics in Belize. Inter-American Development Bank, 2014. http://dx.doi.org/10.18235/0009236.

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In modern public management the use of statistics for decision making is essential. Evidence-based policy, as well as results-based public management, cannot operate effectively without reliable and timely data. Likewise, without more specialized, quality statistics, the achievement of development objectives cannot be appropriately monitored, or the effectiveness of development plans evaluated. In the specific context of Belize, the importance of a well-functioning statistical system is essential to the process of economic and social development of the country. Yet, according to the evidence c
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Соловйов, В. М., В. В. Соловйова та Д. М. Чабаненко. Динаміка параметрів α-стійкого процесу Леві для розподілів прибутковостей фінансових часових рядів. ФО-П Ткачук О. В., 2014. http://dx.doi.org/10.31812/0564/1336.

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Modem market economy of any country cannot successfully behave without the existence of the effective financial market. In the conditions of growing financial market, it is necessary to use modern risk-management methods, which take non-gaussian distributions into consideration. It is known, that financial and economic time series return’s distributions demonstrate so-called «heavy tails», which interrupts the modeling o f these processes with classical statistical methods. One o f the models, that is able to describe processes with «heavy tails», are the а -stable Levi processes. They can sli
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Sanchez-Jabba, Andres, Erick Villabon-Hinestroza, and Bernardo Romero-Torres. Inflation Expectations Measurement and its Effect on Inflation Dynamics in Colombia. Banco de la República, 2023. http://dx.doi.org/10.32468/be.1257.

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Accurate measurement of inflation expectations is crucial due to its significant impact on inflation dynamics and the potential for biased estimates when using different measurement methods. The main objective of this study is to determine whether the effect of inflation expectations on inflation dynamics in Colombia depends on the measurement method employed. We achieve this by estimating New-Keynesian Phillips Curves using various measurement methods for inflation expectations employing data from financial markets, economic surveys, and macroeconomic models. Our analysis focuses on any diffe
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Roldán-Ferrín, Felipe, and Julián A. Parra-Polania. ENHANCING INFLATION NOWCASTING WITH ONLINE SEARCH DATA: A RANDOM FOREST APPLICATION FOR COLOMBIA. Banco de la República, 2025. https://doi.org/10.32468/be.1318.

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This paper evaluates the predictive capacity of a machine learning model based on Random Forests (RF), combined with Google Trends (GT) data, for nowcasting monthly inflation in Colombia. The proposed RF-GT model is trained using historical inflation data, macroeconomic indicators, and internet search activity. After optimizing the model’s hyperparameters through time series cross-validation, we assess its out-of-sample performance over the period 2023–2024. The results are benchmarked against traditional approaches, including SARIMA, Ridge, and Lasso regressions, as well as professional forec
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Iurasova, Olga, and Jelena Dementjeva. Impact of Manufacturing Sector Development on Economic Growth. Vilnius Business College, 2024. https://doi.org/10.57005/ab.2024.3.3.

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This study presents a model of GDP development based on production sectors. Analysis of actual data reveals the presence of several oscillatory processes, which are associated with the heterogeneity of investments and the aggregation of various production processes with their unique characteristics in statistical data. Fluctuations in aggregated macroeconomic indicators result from the superposition of different oscillations and do not exhibit strictly defined periods, particularly for long-term fluctuations. The model indicates that these fluctuations are asymmetrical relative to extreme poin
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8

Bonilla, Claudio A., and Christian A. Cancino. The Impact of the Seed Capital Program of SERCOTEC in Chile. Inter-American Development Bank, 2011. http://dx.doi.org/10.18235/0011355.

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This paper seeks to measure the impact on small businesses in Chile of the Seed Capital Program implemented by Chile's Technical Cooperation Services (Servicio de Cooperación Técnica SERCOTEC). The results are mixed. On the one hand, the impact of sales is positive but its statistical significance depends on the model used. With regard to the number of employees, however, the results are positive and statistically significant regardless of the model used. The results also show that participating in the program has no incidence on the probability of later obtaining financing. This study highlig
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Liu, Jing, Channing Arndt, and Thomas Hertel. Parameter Estimation and Measures of Fit in A Global, General Equilibrium Model. GTAP Working Paper, 2003. http://dx.doi.org/10.21642/gtap.wp24.

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Computable General Equilibrium (CGE) models have been widely used for quantitative analysis of global economic issues. However, CGE models are frequently criticized for resting on weak empirical foundations. This paper builds on recent work in macro-econometric estimation, developing an approach to parameter estimation for a widely employed global CGE model, the Global Trade Analysis Project (GTAP) model. An approximate likelihood function is developed and the set of optimum elasticity values is obtained by maximizing this approximate likelihood function in the context of a back casting exerci
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Lemasson, Bertrand, Emily Russ, and Chanda Littles. A review of habitat modeling methods that can advance our ability to estimate the ecological cobenefits of dredge material placement. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49425.

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Beneficial use of dredged material (BUDM) has been a placement strategy within the US Army Corps of Engineers (USACE) for over 35 years, with applications that aim to reduce navigation costs, increase flood protection, and generate ecological benefits. However, the tools and approaches used for estimating ecological benefits are often limited in comparison with those available to evaluate costs and more traditional economic benefits when moving and placing dredged material. There are statistical and mechanistic models that can aid in quantifying habitat benefits within the context of BUDM proj
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