Relevant bibliographies by topics / Endogenous regressor

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

Academic literature on the topic 'Endogenous regressor'

Author: Grafiati
Published: 9 March 2023
Last updated: 10 March 2023

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Journal articles on the topic "Endogenous regressor"

1

Hu, Yingyao, and Ji-Liang Shiu. "NONPARAMETRIC IDENTIFICATION USING INSTRUMENTAL VARIABLES: SUFFICIENT CONDITIONS FOR COMPLETENESS." Econometric Theory 34, no. 3 (June 19, 2017): 659–93. http://dx.doi.org/10.1017/s0266466617000251.

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This paper provides sufficient conditions for the nonparametric identification of the regression function $m\left( \cdot \right)$ in a regression model with an endogenous regressor x and an instrumental variable z. It has been shown that the identification of the regression function from the conditional expectation of the dependent variable on the instrument relies on the completeness of the distribution of the endogenous regressor conditional on the instrument, i.e., $f\left( {x|z} \right)$. We show that (1) if the deviation of the conditional density $f\left( {x|{z_k}} \right)$ from a known complete sequence of functions is less than a sequence of values determined by the complete sequence in some distinct sequence $\left\{ {{z_k}:k = 1,2,3, \ldots } \right\}$ converging to ${z_0}$, then $f\left( {x|z} \right)$ itself is complete, and (2) if the conditional density $f\left( {x|z} \right)$ can form a linearly independent sequence $\{ f( \cdot |{z_k}):k = 1,2, \ldots \}$ in some distinct sequence $\left\{ {{z_k}:k = 1,2,3, \ldots } \right\}$ converging to ${z_0}$ and its relative deviation from a known complete sequence of functions under some norm is finite then $f\left( {x|z} \right)$ itself is complete. We use these general results to provide specific sufficient conditions for completeness in three different specifications of the relationship between the endogenous regressor x and the instrumental variable $z.$
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Romeu, Andrés, and Marcos Vera‐Hernández. "Counts with an endogenous binary regressor: A series expansion approach." Econometrics Journal 8, no. 1 (March 1, 2005): 1–22. http://dx.doi.org/10.1111/j.1368-423x.2005.00148.x.

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Choi, Jin-young, and Myoung-jae Lee. "Bounding endogenous regressor coefficients using moment inequalities and generalized instruments." Statistica Neerlandica 66, no. 2 (October 21, 2011): 161–82. http://dx.doi.org/10.1111/j.1467-9574.2011.00501.x.

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DiTraglia, Francis J., and Camilo García-Jimeno. "Identifying the effect of a mis-classified, binary, endogenous regressor." Journal of Econometrics 209, no. 2 (April 2019): 376–90. http://dx.doi.org/10.1016/j.jeconom.2019.01.007.

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Karayiannidis, Y., and Z. Doulgeri. "Regressor-free prescribed performance robot tracking." Robotica 31, no. 8 (May 29, 2013): 1229–38. http://dx.doi.org/10.1017/s0263574713000325.

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SUMMARYFast and robust tracking against unknown disturbances is required in many modern complex robotic structures and applications, for which knowledge of the full exact nonlinear system is unreasonable to assume. This paper proposes a regressor-free nonlinear controller of low complexity which ensures prescribed performance position error tracking subject to unknown endogenous and exogenous bounded dynamics assuming that joint position and velocity measurements are available. It is theoretically shown and demonstrated by a simulation study that the proposed controller can guarantee tracking of the desired joint position trajectory with a priori determined accuracy, overshoot and speed of response. Preliminary experimental results to a simplified system are promising for validating the controller to more complex structures.
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Lewbel, Arthur. "Using Heteroscedasticity to Identify and Estimate Mismeasured and Endogenous Regressor Models." Journal of Business & Economic Statistics 30, no. 1 (January 2012): 67–80. http://dx.doi.org/10.1080/07350015.2012.643126.

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Kawaguchi, Daiji, Yukitoshi Matsushita, and Hisahiro Naito. "Moment Estimation of the Probit Model with an Endogenous Continuous Regressor." Japanese Economic Review 68, no. 1 (May 18, 2016): 48–62. http://dx.doi.org/10.1111/jere.12091.

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Ebbes, Peter, Michel Wedel, and Ulf Böckenholt. "Frugal IV alternatives to identify the parameter for an endogenous regressor." Journal of Applied Econometrics 24, no. 3 (March 3, 2009): 446–68. http://dx.doi.org/10.1002/jae.1058.

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O'Sullivan, Timothy, Robert Saddawi-Konefka, and Jack Bui. "IL-17D mediated cancer rejection (162.26)." Journal of Immunology 188, no. 1_Supplement (May 1, 2012): 162.26. http://dx.doi.org/10.4049/jimmunol.188.supp.162.26.

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Abstract Immune system interaction with cancers can either enhance or prevent tumor formation. Cytokine secretion by immune infiltrates and tumor cells are important in regulating this process. IL-17A, a pro-inflammatory member of the IL-17 family, has been shown to have conflicting results in regards to cancer progression or regression. Other members of the IL-17 family, such as IL-17D, have no known roles in immune responses to cancer, or endogenous function. Our lab possesses matched methylcholanthrene (MCA)-induced tumor cell lines that will continuously grow (Progressors) or reject (Regressors) after transplantation into syngeneic WT mice. The regresssor cell lines can grow in immune-deficient RAG2-/- mice, indicating that their rejection in WT mice requires an intact immune system. Our lab has used these cell lines to identify differential cytokine expression profiles from microarray analysis. We have obtained data that shows IL-17D transcript and protein are significantly overexpressed in regressor cell lines when compared to progressor cell lines. Overexpression of IL-7D in progressor tumor cell lines leads to their rejection in WT mice in a NK cell dependent manner. We hypothesize that IL-17D expression in regressor cell lines leads to immune-mediated tumor rejection by recruiting NK cells that polarize M1 macrophages in the tumor microenvironment.
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Choi, Jaerim, and Shu Shen. "Two-sample instrumental-variables regression with potentially weak instruments." Stata Journal: Promoting communications on statistics and Stata 19, no. 3 (September 2019): 581–97. http://dx.doi.org/10.1177/1536867x19874235.

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We develop a command, weaktsiv, for two-sample instrumentalvariables regression models with one endogenous regressor and potentially weak instruments. weaktsiv includes the classic two-sample two-stage least-squares estimator whose inference is valid only under the assumption of strong instruments. It also includes statistical tests and confidence sets with correct size and coverage probabilities even when the instruments are weak.
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Dissertations / Theses on the topic "Endogenous regressor"

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Prono, Todd Andrew. "Garch-based identification of endogenous regressors." Thesis, Boston College, 2006. http://hdl.handle.net/2345/1810.

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The first chapter presents new methods for identifying the structural parameters of linear triangular systems, simultaneous systems, and structural vector autoregressions. The second chapter presents a new method for identifying an endogenous regressor in linear models of time series data
Thesis (PhD) — Boston College, 2006
Submitted to: Boston College. Graduate School of Arts and Sciences
Discipline: Economics
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2

LeSage, James P., and Manfred M. Fischer. "Spatial Regression-Based Model Specifications for Exogenous and Endogenous Spatial Interaction." WU Vienna University of Economics and Business, 2014. http://epub.wu.ac.at/4271/1/SSRN%2Did2420746.pdf.

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The focus here is on the log-normal version of the spatial interaction model. In this context, we consider spatial econometric specifications that can be used to accommodate two types of dependence scenarios, one involving endogenous interaction and the other exogenous interaction. These model specifications replace the conventional assumption of independence between origin-destination-flows with formal approaches that allow for two different types of spatial dependence in flow magnitudes. Endogenous interaction reflects situations where there is reaction to feedback regarding flow magnitudes from regions neighboring origin and destination regions. This type of interaction can be modeled using specifications proposed by LeSage and Pace (2008) who use spatial lags of the dependent variable to quantify the magnitude and extent of feedback effects, hence the term endogenous interaction. Exogenous interaction represents a situation where spillover arise from nearby (or perhaps even distant) regions, and these need to be taken into account when modeling observed variation in flows across the network of regions. In contrast to endogenous interaction, these contextual effects do not generate reaction to the spillovers, leading to a model specification that can be interpreted without considering changes in the long-run equilibrium state of the system of flows. We discuss issues pertaining to interpretation of estimates from these two types of model specification, and provide an empirical illustration. (authors' abstract)
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Weng, Huibin. "A Social Interaction Model with Endogenous Network Formation." University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin159317152899108.

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Silva, Marcus Vinícius Amaral e. "Dois ensaios em macroeconomia." Universidade Federal da Paraíba, 2014. http://tede.biblioteca.ufpb.br:8080/handle/tede/8113.

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This paper conducts tests for structural breaks in the reaction function of the Central Bank of Brazil to evaluate possible changes in the conduct of monetary policy in Brazil, taking into account the reaction function of the regressors are potentially endogenous variables. For this, we uses the methodology developed by Hall et al. (2012) who, using an extension of the framework developed by Bai and Perron (1998), develops a method capable of identifying multiple structural breaks at unknown periods. The main results indicate presence of structural breaks in the three reaction functions studied. Furthermore, the actions of monetary policy through interest rate Selic seem to suffer greater influence of deviations of inflation around its target, compared to changes in the output gap and the exchange rate.
Este estudo realiza testes de quebra estrutural na função de reação do Banco Central do Brasil para avaliar possíveis mudanças na condução da política monetária doméstica, levando-se em conta que os regressores da função de reação são potencialmente variáveis endógenas. Para isto, é utilizada a metodologia desenvolvida por Hall et al. (2012) que, utilizando uma extensão da estrutura desenvolvida por Bai e Perron (1998), elaboram um método capaz de identificar múltiplas quebras estruturais em períodos desconhecidos. Os principais resultados apontam para a presença de quebras estruturais nas três funções de reação estudadas. Além disso, as ações da política monetária, por meio da taxa de juros Selic, parecem sofrer maior influência dos desvios da inflação em torno de sua meta, comparativamente a variações no hiato do produto e na taxa de câmbio.
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Xiaojing, Li. "An Investigation on Balance Switching Behavior in Credit Card Market." The Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=osu1217986114.

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Medeiros, Gabriela Bezerra de. "Ensaios sobre política monetária e curva de Phillips no Brasil." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2014. http://hdl.handle.net/10183/109273.

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A presente tese é constituída de três ensaios que abordam duas relevantes questões que estão intrinsecamente relacionadas em macroeconomia: política monetária e inflação. No primeiro ensaio, nós procuramos averiguar não linearidades na função de reação do Banco Central do Brasil (BCB) através da estimação de regressões quantílicas inversa, sugerido por Wolters (2012) e proposto por Chernozhukov and Hansen (2005, 2006). Este método nos possibilitou detectar não linearidades na função de reação do BCB sem a necessidade de fazer suposições específicas acerca dos fatores que determinam essas não linearidades. Em específico, nós observamos que: i) a resposta da taxa de juros ao hiato da inflação corrente e esperada foi, em geral, mais forte na parte superior da distribuição condicional da taxa de juros Selic; ii) a resposta ao hiato do produto apresentou uma tendência crescente e significativa na parte inferior da distribuição condicional da taxa Selic; iii) a resposta do BCB à taxa de câmbio real foi positiva e mais elevada na cauda superior da distribuição condicional da taxa Selic. No segundo ensaio, nós investigamos a existência de não linearidades na função de reação do Banco Central do Brasil (BCB) decorrentes de incertezas desse policymaker acerca dos efeitos do hiato do produto sobre a inflação. Teoricamente, nós seguimos Tillmann (2011) para obter uma regra de política monetária ótima não linear que é robusta às incertezas acerca do trade-off produto-inflação na curva de Phillips. Além disso, nós realizamos testes de quebra estrutural para avaliar possíveis mudanças na condução da política monetária brasileira durante o regime de metas de inflação. Os resultados indicaram que: i) as incertezas acerca da inclinação na curva Phillips implicaram em não linearidades na função de reação do BCB; ii) não se pode rejeitar a hipótese de uma quebra estrutural nos parâmetros da regra monetária ocorrendo no terceiro trimestre de 2003; iii) houve um aumento na resposta da taxa Selic ao hiato do produto e uma redução da reação ao hiato da inflação corrente no regime Meirelles- Tombini; e iv) o BCB também tem reagido à taxa de câmbio durante o regime Meirelles- Tombini. No terceiro ensaio, nós procuramos analisar os determinantes da inflação no Brasil através da estimação da Curva de Phillips Novo-Keynesiana (CPNK) proposta por Blanchard e Galí (2007) e a versão padrão proposta por Galí e Gertler (1999). Além disso, realizamos testes de quebras estruturais para avaliar possíveis mudanças na dinâmica da inflação brasileira durante o período de 2002 a 2014. Os resultados indicaram que: i) os testes de quebra estrutural apontam a existência de pelo menos uma mudança estrutural nos coeficientes da CPNK; ii) o componente forward-looking da inflação é dominante, embora sua relevância tenha sido reduzida após 2004; iii) a taxa de desemprego tem afetado negativamente a inflação, embora seja observado uma redução desse impacto nos últimos anos; iv) as mudanças na taxa de câmbio apenas tiveram efeitos sobre a inflação na primeira subamostra e tem perdido relevância no período mais recente; v) o efeito do hiato do produto sobre a inflação corrente diminuiu nos anos recentes; vi) em geral, nós rejeitamos a hipótese nula de uma curva de Phillips vertical no longo prazo a um nível de significância de 5%, mas não a 1%.
This thesis is composed of three essays to address two important issues that are intricately related in macroeconomics: monetary policy and inflation. In the first essay, we seek to investigate nonlinearities in the reaction function of the Central Bank of Brazil (CBB) by estimating inverse quantile regressions (IVQR), suggested by Wolters (2012) and proposed by Chernozhukov and Hansen (2005, 2006). This method enabled us to detect nonlinearities in the CBB’s reaction function without the need to make specific assumptions about the factors that determine these nonlinearities. In particular, we observed that: i) the response of the interest rate to the current and expected inflation was, in general, stronger in the upper tail of the conditional interest rate distribution; ii) the response to the output gap showed a growing and significant trend in the lower tail of the conditional Selic rate distribution; iii) the response of the CBB to the real exchange rate was positive and higher in the upper tail of the conditional Selic rate distribution. In the second essay, we investigate the existence of nonlinearities in the reaction function of the Central Bank of Brazil (CBB) arising from this policymaker’s uncertainties about the effects of the output gap on inflation. Theoretically, we follow Tillmann (2011) to obtain a nonlinear optimal monetary policy rule that is robust to uncertainty about the output-inflation trade-off of the Phillips Curve In addition, we perform structural break tests to assess possible changes in the conduct of the Brazilian monetary policy during the inflation-targeting regime. The results indicate that: i) the uncertainties about the slope in the Phillips curve implied nonlinearities in the CBB’s reaction function; ii) we cannot reject the hypothesis of a structural break in the monetary rule parameters occurring in the third quarter of 2003; iii) there was an increase in the response of the Selic rate to output gap and a weaker response to the current inflation gap in Meirelles Tombini’s administration; and iv) the CBB has also reacted to the exchange rate in Meirelles-Tombini’s administration. In the third essay, we proposed to analyze the determinants of inflation in Brazil through the estimation of the new Keynesian Phillips curve (NKPC) proposed by Blanchard and Galí (2007) and the standard version proposed by Galí and Gertler (1999). In addition, we perform structural break tests to assess possible changes in the dynamics of inflation in Brazil during the period 2002 to 2014. The results indicated that: i) structural break tests indicate the existence of at least one structural change in the coefficients of NKPC ; ii) the forward-looking component of inflation is dominant, though its importance has been reduced after 2004; iii) the unemployment rate has negatively affected inflation, although a reduction of this impact has been observed in recent years; iv) changes in the rate of exchange only had effects on inflation in the first subsample and losing relevance in the most recent period; v) the effect of the output gap on the current inflation has declined in recent years; vi) overall, we reject the null hypothesis of a vertical Phillips curve in the long term at a significance level of 5%, but not 1%.
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Cheng, Xiangbin. "The dynamic relationships between public spending, economic growth and income inequality in China." Thesis, University of Hertfordshire, 2015. http://hdl.handle.net/2299/16543.

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China's economic development has performed spectacularly during the period of China's economic transition as a result of radical economic reform in the all markets. The country has also gone through extensive fiscal reforms in the last three decades. However, a number of problems have been associated with such rapid economic growth. One of these has been raising inequality. In both Keynesian and neoclassical endogenous growth theories, public spending can play an important role for economic growth and inequality. The majority of previous studies have focused on the relationship between public spending and economic growth, or between public spending and inequality separately. There is no doubt that public spending has an effect on both economic growth and equity simultaneously. In this respect, this thesis attempts to address the problems that have emerged during the period of China's fiscal reforms, and seeks to examine the effects of public spending on economic growth and equality in the same model. This thesis investigates the dynamic relationships among these three variables in China. For aggregate national data, vector error correction model (VECM) has been used. Analysis at the provincial level is based on the panel vector auto-regression (PVAR) model. These methods help to solve the endogeneity in estimations. The national level analysis indicates that total public spending shows a long term Granger causality with GDP per capita, which supports the positive growth effect of public spending in the Keynesian and endogenous growth model. Social public spending has a negative effect on real output per capita in both the short term and long term, but it also has a negative impact on income inequality. Moreover, we find that a higher level of real GDP per capita will increase the level of inequality, but a higher level of inequality has a negative effect on real GDP per capita in the long term. Furthermore, total provincial public spending and provincial social spending have either a non-significant effect on economic growth. On the other hand, the SOEs' investment has a significant, positive growth effect at both the national and provincial level. As for the redistributive role of the public spending, the provincial total public spending and social spending have played an important role on income distribution. Furthermore, the Gini coefficient has a positive effect on the per capita growth rate at the provincial level, but the economic growth has no significant impact on the Gini coefficient.
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Barbosa, Ana Luiza Neves de Holanda. "Ensaios sobre diferencial de salários e estimação de demanda no Brasil." reponame:Repositório Institucional do FGV, 2012. http://hdl.handle.net/10438/9365.

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This study investigates the wage gap between the public and private sectors in Brazil. The analysis is carried out with 2009 microdata from the Pesquisa Nacional por Amostra de Domicílios (PNAD) and it takes account its complex sample design. The main contribution of this study is the estimation of a switching endogenous regression model that corrects the selection bias in the choice of employment sector. This model allows for the identification of some factors that determine the entrance of the individual in the public sector labor market. The public-private wage gap is calculated by gender as labor supply varies significantly between women and men. The results show that public sector wages are higher than those in the private sector. In particular, the public-private wage gap for women is higher than for men.
A presente tese engloba três artigos sobre diferencial de salários e estimação de demanda no Brasil. O primeiro artigo investiga o diferencial de salários entre os trabalhadores dos setores público e privado. A principal contribuição deste estudo é a estimação de um modelo de regressão com mudança endógena (endogenous switching regression model), que corrige o viés de seleção no processo de escolha setorial realizada pelos trabalhadores e permite a identificação de fatores determinantes na entrada do trabalhador no mercado de trabalho do setor público. O objetivo do segundo trabalho é calcular a elasticidade-preço e a elasticidade-despesa de 25 produtos alimentares das famílias residentes nas áreas rurais e urbanas do Brasil. Para tanto, foram estimados dois sistemas de equações de demanda por alimentos, um referente às famílias residentes nas áreas rurais do país e o outro sistema associado às famílias residentes nas áreas urbanas. O terceiro artigo busca testar a validade do modelo unitário para solteiros(as) e a validade do modelo de racionalidade coletiva de Browning e Chiappori (1998) para casais no Brasil. Para tanto, foi estimado um sistema de demanda do consumo brasileiro com base no modelo QUAIDS, que apresenta uma estrutura de preferências flexível o suficiente para permitir curvas de Engel quadráticas.
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PIRIU, ANDREEA ALEXANDRA. "ESSAYS ON GLOBALISATION: EFFECTS AND IMPLICATIONS FOR INDIVIDUALS." Doctoral thesis, Università degli Studi di Milano, 2020. http://hdl.handle.net/2434/728739.

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This thesis studies the effects of import competition from China and Eastern Europe on the health and fertility decisions of German individuals working in manufacturing. Individuals are matched with separate measures of exposure to competition from China and Eastern Europe, respectively. To isolate exogenous supply shocks from the origin, instrumental variables for competition from each of China and Eastern Europe are constructed. Results in Chapter 1 suggest that higher import competition worsens individual health via job displacement, wage decline, shortened employment duration, increased reliance on welfare and less future orientation, with Chinese import competition affecting individuals twice as much. Health declines as individuals increase their visits to the doctor, exercise less frequently and have a higher probability of developing chronic illness. Also, there is some evidence that individuals do not tend to become disabled but may be slowly pushed into chronic illness. Findings in Chapter 2 show that import competition negatively affects the individual’s probability of having children via reduced earnings, lower satisfaction with personal income and shortened employment duration. The chapter then investigates effects of import exposure by gender. Results show that male and female fertility choices differ upon rising import competition. Higher import exposure lowers female earnings and job autonomy, which in turn generates a lower opportunity cost of work, to the point where having children would become a more rewarding alternative for female workers. By contrast, increased import exposure negatively affects male workers’ fertility through reduced earnings and employment duration.
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Shyu, Ming-Kuang, and 徐明洸. "The Impact of Retirement on Household Leisure Expenditures - Application with the Endogenous Switching Regression Model." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/u2vs6u.

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碩士
佛光大學
經濟學系
96
We derived the endogenous switching regression model (ESRM) to solve the independent variables which sample selection lead to a biased inference about we estimated the retired household of the leisure expenditure equation and near retired household of the leisure expenditure equation with the OLS, because of the household heads would have been evaluated between the differences of the retired or unretired situation on leisure expenditures. We used the data from the Academia Sinica Research Program Center Databases Resources one of the 2006 Survey of Family Income and Expenditure Consumer Expenditure. The empirical result shows that household head had been transferred to be a retiree which was decided by the criterion function and didn’t relate to education which was to be the symbol the social, but reference with the family income, characteristic family, home ownership, physical situation, the presence of a social security system, the effect of alternative policies on retirement behavior, the expected to lifetime etc. After the household heads retired which impacted on the leisure activities, have been differed from the unretired household, so they had to cut down the leisure expenditures. On the other hand, if the household heads doesn’t retire and still work in the job market, so they will spend more money on leisure expenditures for taking a vacation or going abroad. The household heads compared with the conditional of retired and near-retired who were to be a retiree and choice to engage in leisure activities and consume recreational goods, those will get the utility above the average level of expectation. The household heads transferred to be a retiree and will spend more money on leisure expenditures or be accomplished the planning of travel round the world who retired have above-average expected object from retirement. Alternatively, the near-retired household heads who have held the home ownership, unworried about their living, who could arrange the journey to take a vacation who unretired have above-average expected object from unretirement. This study provides the independent of the self-selection and the differentiate between the retired household and near-retired household, also provides information to researchers, policy makers, financial counselors, and business managers who focus on the leisure expenditures of retired and near-retired households.
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Books on the topic "Endogenous regressor"

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Chang-Jin, Kim. Estimation of Markov regime-switching regression models with endogenous switching. [St. Louis, Mo.]: Federal Reserve Bank of St. Louis, 2003.

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Frölich, Markus. A note on parametric and nonparametric regression in the presence of endogenous control variables. Bonn, Germany: IZA, 2006.

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Angrist, Joshua David. Estimation of limited-dependent variable models with dummy endogenous regressors: Simple strategies for empirical practice. Cambridge, Mass: Massachusetts Institute of Technology, Dept. of Economics, 1999.

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Calcagno, Juan Carlos. The impact of postsecondary remediation using a regression discontinuity approach: Addressing endogenous sorting and noncompliance. Cambridge, MA: National Bureau of Economic Research, 2008.

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Akpalu, Wisdom, and Xu Zhang. Fast-food consumption and child body mass index in China: Application of an endogenous switching regression model. UNU-WIDER, 2014. http://dx.doi.org/10.35188/unu-wider/2014/860-5.

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Murtazashvili, Irina, and John Giles. A Control Function Approach To Estimating Dynamic Probit Models With Endogenous Regressors, With An Application To The Study Of Poverty Persistence In China. The World Bank, 2010. http://dx.doi.org/10.1596/1813-9450-5400.

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Book chapters on the topic "Endogenous regressor"

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Balazsi, Laszlo, Maurice J. G. Bun, Felix Chan, and Mark N. Harris. "Models with Endogenous Regressors." In Advanced Studies in Theoretical and Applied Econometrics, 71–100. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60783-2_3.

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LeSage, James P., and Manfred M. Fischer. "Spatial Regression-Based Model Specifications for Exogenous and Endogenous Spatial Interaction." In Advances in Spatial Science, 15–36. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30196-9_2.

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Percy, Andrew J., and Christoph H. Borchers. "Detailed Method for Performing the ExSTA Approach in Quantitative Bottom-Up Plasma." In Methods in Molecular Biology, 353–84. New York, NY: Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1024-4_25.

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AbstractThe use of stable isotope-labeled standards (SIS) is an analytically valid means of quantifying proteins in biological samples. The nature of the labeled standards and their point of insertion in a bottom-up proteomic workflow can vary, with quantification methods utilizing curves in analytically sound practices. A promising quantification strategy for low sample amounts is external standard addition (ExSTA). In ExSTA, multipoint calibration curves are generated in buffer using serially diluted natural (NAT) peptides and a fixed concentration of SIS peptides. Equal concentrations of SIS peptides are spiked into experimental sample digests, with all digests (control and experimental) subjected to solid-phase extraction prior to liquid chromatography tandem mass spectrometry (LC-MS/MS) analysis. Endogenous peptide concentrations are then determined using the regression equation of the standard curves. Given the benefits of ExSTA in large-scale analysis, a detailed protocol is provided herein for quantifying a multiplexed panel of 125 high-to-moderate abundance proteins in undepleted and non-enriched human plasma samples. The procedural details and recommendations for successfully executing all phases of this quantification approach are described. As the proteins have been putatively correlated with various noncommunicable diseases, quantifying these by ExSTA in large-scale studies should help rapidly and precisely assess their true biomarker efficacy.
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Suzuki, Takahiro, and Masahide Horita. "How to Order the Alternatives, Rules, and the Rules to Choose Rules: When the Endogenous Procedural Choice Regresses." In Lecture Notes in Business Information Processing, 47–59. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19515-5_4.

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Nguyen, Hoa B. "Estimating a Fractional Response Model with a count endogenous regressor and an application to female labor supply." In Maximum Simulated Likelihood Methods and Applications, 253–98. Emerald Group Publishing Limited, 2010. http://dx.doi.org/10.1108/s0731-9053(2010)0000026012.

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"Endogenous regressors: the evaluation problem revisited." In Applied Econometrics for Health Economists, 49–56. CRC Press, 2007. http://dx.doi.org/10.1201/9781785230141-14.

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"Extensions of the Classical Linear Regression Model: The Case of Stochastic or Endogenous Regressors." In Linear Regression: A Mathematical Introduction, 111–44. 2455 Teller Road, Thousand Oaks California 91320: SAGE Publications, Inc, 2019. http://dx.doi.org/10.4135/9781071802571.n6.

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BHARGAVA, ALOK. "Identification and Panel Data Models with Endogenous Regressors." In Econometrics, Statistics and Computational Approaches in Food and Health Sciences, 49–60. WORLD SCIENTIFIC, 2006. http://dx.doi.org/10.1142/9789812773319_0003.

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Serrecchia, Michela, Irma Serrecchia, and Maurizio Martinelli. "ICT Adoption in Firms by Using Endogenous Metrics." In E-Procurement in Emerging Economies, 161–96. IGI Global, 2007. http://dx.doi.org/10.4018/978-1-59904-153-7.ch007.

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This chapter analyzes the digital divide in Italy and the factors contributing to this situation at both the regional and provincial levels. To do this, we used the registration of Internet domains under the “.it” Country Code Top Level Domain as a proxy. In particular, we analyzed domain names registered by firms. The analysis produced interesting results: The distribution of domains registered by firms in Italian provinces is more concentrated than the distribution related to income and the number of firms, suggesting a diffusive effect. Furthermore, in order to analyze the factors that may contribute to the presence of a digital divide at the regional level, a regression analysis was performed using demographic, social, economic, and infrastructure indicators. The results show that Internet technology, far from being an “equalizer,” follows and possibly intensifies existing differences in economic opportunity in industrialized countries like Italy.
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Lee, Jonathan, and Alex Lenkoski. "Incorporating Model Uncertainty in Market Response Models with Multiple Endogenous Variables by Bayesian Model Averaging." In Business, Management and Economics. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.108927.

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We develop a method to incorporate model uncertainty by model averaging in generalized linear models subject to multiple endogeneity and instrumentation. Our approach builds on a Gibbs sampler for the instrumental variable framework that incorporates model uncertainty in both outcome and instrumentation stages. Direct evaluation of model probabilities is intractable in this setting. However, we show that by nesting model moves inside the Gibbs sampler, a model comparison can be performed via conditional Bayes factors, leading to straightforward calculations. This new Gibbs sampler is slightly more involved than the original algorithm and exhibits no evidence of mixing difficulties. We further show how the same principle may be employed to evaluate the validity of instrumentation choices. We conclude with an empirical marketing study: estimating opening box office by three endogenous regressors (prerelease advertising, opening screens, and production budget).
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Conference papers on the topic "Endogenous regressor"

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Chen, Junmin, Nataliya Stoyanets, and Zetao Hu. "RESEARCH ON INFLUENCING FACTORS OF RURAL ENDOGENOUS DEVELOPMENT ABILITY BASED ON TOBIT MODEL." In 6th International Scientific Conference ERAZ - Knowledge Based Sustainable Development. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2020. http://dx.doi.org/10.31410/eraz.2020.231.

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Cultivating and digging the endogenous power of rural development is the basis of sustainable rural development. The article sets explanatory variables from the perspective of social network structure theory, and constructs a Tobit multiple regression empirical model that affect rural endogenous ability. The study found that the amount of social structural holes, the strength of weak ties, the role of village committees, and the quality of village cadres have a significant positive effect on the improvement of rural endogenous capabilities. Accordingly, it is recommended that Henan region creates market opportunities for various types of elites to serve the rural revitalization ; fully explore and use weak ties to fight for more resources for the rural revitalization ; further strengthen the collective economy, strengthen the village collective administrative power from the perspective of legislation, and optimize the control of the collective power of the village ; the formation of a cultural psychological structure that is conducive to the endogenous development of the village .
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Sha, Zhenghui, and Jitesh H. Panchal. "Estimating the Node-Level Behaviors in Complex Networks From Structural Datasets." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-12063.

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There is an emerging class of networks that evolve endogenously based on the local characteristics and behaviors of nodes. Examples of such networks include social, economic, and peer-to-peer communication networks. The node-level behaviors determine the overall structure and performance of these networks. This is in contrast to exogenously designed networks whose structures are directly determined by network designers. To influence the performance of endogenous networks, it is crucial to understand a) what kinds of local behaviors result in the observed network structures and b) how these local behaviors influence the overall performance. The focus in this paper is on the first aspect, where information about the structure of networks is available at different points in time and the goal is to estimate the behavior of nodes that resulted in the observed structures. We use three different approaches to estimate the node-level behaviors. The first approach is based on the generalized preferential attachment model of network evolution. In the second approach, statistical regression-based models are used to estimate the node-level behaviors from consecutive snapshots of the network structure. In the third approach, the nodes are modeled as rational decision-making agents who make linking decisions based on the maximization of their payoffs. Within the decision-making framework, the multinomial logit choice model is adopted to estimate the preferences of decision-making nodes. The autonomous system (AS) level Internet is used as an illustrative example to illustrate and compare the three approaches.
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Kuzichkin, Oleg. "REGRESSION ALGORITHMS ELIMINATE INTERFERENCE WITH THE ENDOGENOUS CHARACTER GEOECOLOGICAL MONITORING OF WATER RESOURCES." In 17th International Multidisciplinary Scientific GeoConference SGEM2017. Stef92 Technology, 2017. http://dx.doi.org/10.5593/sgem2017/52/s20.096.

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Wulandari, Sartika Ayu, Ismaini Zain, and Santi Puteri Rahayu. "Modeling the household milk consumption data by endogenous Bayesian Tobit Quantile (BTQ) regression in sidoarjo." In 2018 International Conference on Information and Communications Technology (ICOIACT). IEEE, 2018. http://dx.doi.org/10.1109/icoiact.2018.8350781.

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Chen, Xu, Linda K. Johnson, Jeffrey A. Knauf, and James A. Fagin. "Abstract 4290: The farnesyl transferase inhibitor SCH 66336 induces regression of Hras-driven tumors in mice with widespread endogenous expression of HrasG12V." In Proceedings: AACR 102nd Annual Meeting 2011‐‐ Apr 2‐6, 2011; Orlando, FL. American Association for Cancer Research, 2011. http://dx.doi.org/10.1158/1538-7445.am2011-4290.

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Yuan, Qing, and Jie Meng. "Study on the influece factors of rural landscape in cold regions based on qualitative analysis and SPSS analysis." In Post-Oil City Planning for Urban Green Deals Virtual Congress. ISOCARP, 2020. http://dx.doi.org/10.47472/mdhe8888.

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This paper is committed to improving the rural landscape in cold regions. Taking 619 samples of cold rural areas in China as the research object, this paper discusses the influence factors and the relationship of the rural landscape in cold regions. In this paper, the depth structure interview and field survey methods are used to analyze and refine the important influence factors of rural landscape in cold regions. Through the qualitative analysis of NVivo, this paper analyzes the hierarchical relationship of influence factors, and constructs the framework system of influence factors for rural landscape shaping. Then, through questionnaire survey, 619 rural samples are investigated and analyzed for the status of rural landscape impact factors, and the weight of the status quo influence factors is evaluated by SPSS multiple linear regression model. Through the comparative analysis of the results, it is found that exogenous factors play a significant role, endogenous factors lack of power; serious industrial homogenization, high landscape convergence; lack of cultural connotation, weak awareness of protection and inheritance; insufficient use of natural resources, not obvious characteristic climate advantage, and so on. According to the problems, the paper puts forward planning guidance suggestions, in order to make a beneficial contribution to the rural landscape construction in cold regions.
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Martínez Marín, Jesús Ezequiel, Andrea Trilles Segura, and Ivette Fuentes Molina. "The impact of covid-19 on shipping industry studying economic factors." In Maritime Transport Conference. Universitat Politècnica de Catalunya. Iniciativa Digital Politècnica, 2022. http://dx.doi.org/10.5821/mt.11012.

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The aim of this paper is to analyse the impact of COVID-19 on shipping industry using a multiple-regression econometric model based on Ordinary Least Squares. The model has considered Valencia Containerised Freight Index as the dependent variable. Several exogenous variables will be included in the model to estimate their partial effect, ceteris paribus on the endogenous one, such as economic and maritime casuistry. Coronavirus, known as a global pandemic, had a strong impact on world economies during 2020. As a result, this paper is focused on analysing COVID-19 impact on shipping industry. Therefore, it is going to be studied economic effects of pandemic for shipping companies in order to show how they managed this new scenario. On the other hand, human factor from maritime perspective will be mentioned in order to consider central effects on seafarers and how they felt during pandemic on board. As maritime transport represents 90% of global trade, this research wants to analyse why freight prices were constantly growing during months. Using quarterly cross- sectional database, we study three possible regressions, achieving an increase on goodness-of-fit statistic in each one. Despite of having a limited database, Spanish imports, Spanish E-commerce growth and Gross weight of goods handled in main Spanish ports have turned highly significant to explain rises on Valencian freight prices.
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WANG, HUCHENG, and WEILIN YANG. "DOES JOINING A FARMER'S PROFESSIONAL COOPERATIVE INCREASE THE WELFARE OF FARMERS?—BASED ON THE EVIDENCE OF FARMERS IN SOUTHWEST CHINA." In 2021 INTERNATIONAL CONFERENCE ON ADVANCED EDUCATION AND INFORMATION MANAGEMENT (AEIM 2021). Destech Publications, Inc., 2021. http://dx.doi.org/10.12783/dtssehs/aeim2021/35990.

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Abstract. Based on field survey data of 1448 households in 50 villages in Q area, this paper uses the endogenous transformation regression model (ESRM) to analyze the impact of farmers joining professional cooperatives on family welfare under counterfactual scenarios, and further examines its mechanism of action. The study found that: (1) Farmers’ participation in professional cooperatives produces spillover effects and promotes the increase of farmers’ welfare; (2) The welfare effects of joining farmers’ professional cooperatives are also related to the differences in the farmers’ own family endowments, with higher family knowledge and cultural levels and more labor, Farmers with a large number of migrant workers have higher welfare effects of participating in cooperatives, otherwise the welfare effects will be lower; (3) The number of patients in farm households, the number of farmers, the size of the family, the number of elderly people, whether to borrow money, education level, etc. Factors have a significant role in promoting the participation of farmers in the decision-making of farmers' professional cooperatives, while factors such as the number of laborers, the number of workers, and age have a significant inhibitory effect on farmers' participation in the decision-making of farmers' professional cooperatives; (4) The increase in the number of workers, the number of farmers and the decline in the number of laborers indicate The efficiency of cooperatives in this area is low, and there are unnecessary losses; therefore, farmers should be encouraged to participate in cooperative operations.
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Simeonovski, Kiril, Elena Naumovska, and Mihail Petkovski. "THE EFFECT OF BANK DENSITY ON FINANCIAL DEVELOPMENT AND ECONOMIC PERFORMANCE." In Economic and Business Trends Shaping the Future. Ss Cyril and Methodius University, Faculty of Economics-Skopje, 2020. http://dx.doi.org/10.47063/ebtsf.2020.0014.

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This paper provides evidence about the link between bank density as a form of financial deepening, and financial development and economic performance. We construct a panel of European countries and develop a dynamic regression model with GDP dynamics up to three lags and a full set of fixed effects to study the effect that the number of bank branches and automated teller machines per capita have on real GDP per capita. Our baseline estimates point out to a weak negative impact of the increased number of bank branches per capita on economic performance by around 0.3 per cent annually. We find similar results from the subsequent IV and GMM estimates as well as when swapping the population basis of the bank density measures with the area. The IV strategy reveals that our both measures are endogenous with the respect to the level of urbanisation and the share of Internet users up to three lags. We further include financial development as a covariate and find weaker negative impact of the number of bank branches and a weak positive impact of the number of automated teller machines by about 0.15 per cent annually. Our estimates with respect to financial development reveal that both bank measures can be considered significant drivers given the positive impact of about 0.8 to 1.2 percentage points obtained for the number of bank branches and about 0.6 to 0.7 percentage points for the number of automated teller machines. We do not find any significant differences between the countries with harmonised regulations and shared currency as a result of the EU and Eurozone membership.
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Humaran Nahed, Ivan, and Josep Roca Cladera. "Hacia una medida integrada del factor de localización en la valoración residencial: el caso de Mazatlán." In International Conference Virtual City and Territory. Mexicali: Universidad Autónoma de Baja California, 2010. http://dx.doi.org/10.5821/ctv.7628.

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El presente trabajo de investigación se centra en conformar el factor de localización, entendido como un parámetro integrador, en función de sus características particulares de ubicación, atributos constructivos y condiciones socioeconómicas de carácter local. Para ello se hace necesario medir los atributos endógenos-exógenos de mayor incidencia sobre el precio de los inmuebles, los cuales vienen a ser los elementos que dan forma a la distribución del mercado residencial de la ciudad. El trabajo se baso en un estudio econométrico del mercado residencial en la ciudad de Mazatlán, Sinaloa, para lo cual se requirió el uso de las metodologías de los preciso hedónicos, regresión lineal múltiple y geográficamente ponderada. Los resultados ratifican que la conformación del valor de la vivienda depende del binomio de elementos extrínsecos-intrínsecos de los inmuebles, cuya incidencia varia en el territorio, conformando zonas de valor, cuyo peso marginal puede ser interpretado con el factor de de localización encontrado, el cual representa una medida diferencial entre las distintas zonas de la ciudad. Este parámetro se puede utilizar en el cálculo del factor de homogenización por localización en el método de valoración por comparación de mercado. This research work focuses on shaping the location factor, seen as an integrative parameter, depending on their specific location, building attributes and local socioeconomic conditions. This is necessary to measure the endogenous-exogenous attributes most directly affect the price of the property, which come to be the elements that shape the distribution of city's residential market. The work was based on an econometric study of the residential market in the city of Mazatlan, Sinaloa, which is required for the use of hedonic precise methodologies, linear regression and geographically weighted. The results confirm that the conformation of the value of the home depends on the pairing of extrinsic-intrinsic elements of the buildings, whose incidence varies in the territory, forming areas of value, marginal weight of which can be used with the factor of location found, this represents a differentials measurement between diverse areas of the city. This parameter can be used in calculating the factor of homogenization of by location in the method of valuation by the market comparison.
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Reports on the topic "Endogenous regressor"

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DiTraglia, Francis, and Camilo García-Jimeno. Mis-classified, Binary, Endogenous Regressors: Identification and Inference. Cambridge, MA: National Bureau of Economic Research, September 2017. http://dx.doi.org/10.3386/w23814.

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Altonji, Joseph, and Rosa Matzkin. Panel Data Estimators for Nonseparable Models with Endogenous Regressors. Cambridge, MA: National Bureau of Economic Research, March 2001. http://dx.doi.org/10.3386/t0267.

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Kim, Chang-Jin, Jeremy M. Piger, and Richard Startz. Estimation of Markov Regime-Switching Regression Models with Endogenous Switching. Federal Reserve Bank of St. Louis, 2003. http://dx.doi.org/10.20955/wp.2003.015.

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Angrist, Joshua. Estimation of Limited-Dependent Variable Models with Dummy Endogenous Regressors: Simple Strategies for Empirical Practice. Cambridge, MA: National Bureau of Economic Research, January 2000. http://dx.doi.org/10.3386/t0248.

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Calcagno, Juan Carlos, and Bridget Terry Long. The Impact of Postsecondary Remediation Using a Regression Discontinuity Approach: Addressing Endogenous Sorting and Noncompliance. Cambridge, MA: National Bureau of Economic Research, July 2008. http://dx.doi.org/10.3386/w14194.

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Bajari, Patrick, Han Hong, Minjung Park, and Robert Town. Regression Discontinuity Designs with an Endogenous Forcing Variable and an Application to Contracting in Health Care. Cambridge, MA: National Bureau of Economic Research, December 2011. http://dx.doi.org/10.3386/w17643.

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