Search Results

SUCCESSES AND FAILURES IN REFORMS IMPLEMENTATION PROCESS IN THE REPUBLIC OF MOLDOVA,
Lilia Ghitiu, Zinovia Toaca and Zaharia Olarescu, in Contemporary Economy Journal (2018)
Keywords: labor productivity, labor cost, average wage

Crisis of US Capitalism or the Crisis of the US Wage and Salaried Worker?,
James Petras, in Entelequia. Revista Interdisciplinar (2007)
Keywords: Collapse of Capitalism Theory, Capitalist System, Crisis, United States, Wage, Salaried Work, Labour force

Unemployment, Labour Marginalisation, and Deprivation (in English),
Petr Mareš and Tomáš Sirovátka, in Czech Journal of Economics and Finance (Finance a uver) (2005)
Keywords: wage curve, wage flexibility, unemployment, panel data

Le travail des femmes en France: trente ans d'evolution des problematiques en sociologie (1970-2000),
M. Lurol, from Centre d'etudes de l'emploi (2001)
Keywords: TRAVAIL ; EMPLOI ; FEMMES ; FAMILLE

Wage Growth Implications in Romania,
Dragos Mihai Ungureanu, in International Conference on Economic Sciences and Business Administration (2019)
Keywords: wage growth, productivity, external competitiveness, private consumption.

Funzionamento del mercato del lavoro in presenza di informazione asimmetrica. Una rassegna della letteratura,
Claudia Canegallo, from Institute of Public Policy and Public Choice - POLIS (1999)

THE BENEFITS OF HAVING LARGE RESERVOIRS OF PETROLEUM,
Viorel Pop, in Law, Society & Organisations (2017)
Keywords: Petroleum, Energy, Economy, Competitiveness, Trade balance

Employment Equity: Issues, Approaches and Public Policy Framework,
M.L. Coates, from Queen's at Kingston - Sch. of Indus. Relat. Research and Current Issues Series (1986)
Keywords: EMPLOYMENT;SOCIAL JUSTICE;GOVERNMENT POLICY

Retrospectives: Ricardo on Machinery,
Samuel Hollander, in Journal of Economic Perspectives (2019)

The Determinants of the Macroeconomic Implications of Aging,
Louise Sheiner, in American Economic Review (2014)

Emprendimiento social en jóvenes: análisis de su relación con otras formas de participación social,
María Celeste Dávila, Anna Zlobina and Amparo Serrano Pascual, in REVESCO: Revista de estudios cooperativos (2021)
Keywords: Voluntariado; Activismo; Asociacionismo; Participación política; Desempleo juvenil.

Análise de convergência espacial dos repasses da Lei Robin Hood,
Noé Gonçalves Maranduba , in Revista Economia e Sociedade (2009)
Keywords: Robin Hood Act; Exploratory spatial data analysis; β convergence; Spatial econometrics.

Large Datasets Regression Coefficients and Spatial Homogeneity,
Andrew Siebert, in Journal of Economics and Econometrics (2019)
Keywords: Spatially clustered coefficient, Varying coefficient regression, Minimum spanning tree, Penalised least squares

Comparative Evaluation of the Performance of Commercial Banks in Russia Based on a Multidimensional Analysis of Financial Indicators,
Ilya I. Kornukov and Alexey Yu. Domnikov, in Journal of Applied Economic Research (2023)
Keywords: banking system; probabilistic assessment; cluster analysis; logistic regression; multidimensional analysis; separating hyperplane; financial stability

Analysis of the Exchange Rate and Pricing Foreign Currency Options on the Croatian Market: the NGARCH Model as an Alternative to the Black-Scholes Model,
Petra Posedel Šimović, in Financial Theory and Practice (2006)
Keywords: Black-Scholes model, NGARCH model, heteroscedasticity, volatility, risk premium, risk-neutral measure, no arbitrage, Monte Carlo simulations.

Russia's Trade Flows and WTO,
Sergey Kolesnikov and Olga Podkorytova, from European University at St. Petersburg, Department of Economics (2011)
Keywords: Russia, gravity model, trade flows, non-oil trade

Does Inequality in Landownership Contribute to Inequality in Education Attainment? Empirical Evidence From Kenya,
John Kamau Gathiaka, in Tanzanian Economic Review (2022)
Keywords: landownership; education attainment; inequality; county; household

Structural Equation Modelling of Relationship between Teachers’ Capacity Building and Students’ Academic Performance in Secondary Schools in Kwara State, Nigeria,
Yusuf Suleiman, Zahyah Bt Hanafi and Muhajir Bin Taslikhan, in Journal of Quantitative Methods (2017)
Keywords: Capacity Building; Workshop; Seminar; Teachers; Academic Performance

Comparing the Effects of Improving Economic and Political Institutions on per Capita Income in Oil-Exporting and Industrial Countries (in Persian),
Hasan Sobhani and Saeed Bayat, in The Journal of Planning and Budgeting (٠صلنامه برنامه ریزی و بودجه) (2014)
Keywords: Economic and Political Institutions, Per Capita Income, Cross-sectional Econometrics, Oil-Exporting Countries, G20 Countries

Optimizing the Number and Location of Warehouses in Logistics Networks Considering the Optimal Delivery Routes and Set Level of Reserve Stock,
Volodymyr V. Sysoiev, in Theory Methodology Practice (TMP) (2013)
Keywords: logistics network, warehouse, optimal warehouse location, logistics costs, optimaldelivery route

China's Provincial Growth Dynamics,
Jahangir Aziz and Christoph Duenwald, from University Library of Munich, Germany (2001)
Keywords: Provincial growth; convergence; twin peaks

Trade and Income Convergence in Selected South Asian Countries and Their Trading Partners,
Ahmed Nawaz Hakro and Bashir Fida, in Lahore Journal of Economics (2009)
Keywords: Intra-trade, income convergence, per capita income, South Asia.

Assessment of PISA 2012 Results With Quantile Regression Analysis Within The Context of Inequality In Educational Opportunity,
Sevda Gürsakal, Dilek Murat and Necmi Gürsakal, in Alphanumeric Journal (2016)
Keywords: Inequality of Educational Opportunity, Mathematics Score, PISA, Quantile Regression

Edgeworth expansions for semiparametric Whittle estimation of long memory,
Liudas Giraitis and Peter Robinson, from London School of Economics and Political Science, LSE Library (2002)
Keywords: Edgeworth expansion; long memory; semiparametric estimation

A study on spatial autocorrelation: Case of Russian regional inflation,
Andrew Kirillov, in Applied Econometrics (2021)
Keywords: regional inflation; consumer price index; spatial autocorrelation; APLE; Moran’s I; regions of Russia.

A research agenda on general-to-specific spatial model search,
Peter Burridge, in INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH (2011)
Keywords: General-to-Specific; Research Agenda; Nesting Spatial Regression Models; Heteroskedasticity

Improved quantile inference via fixed-smoothing asymptotics and Edgeworth expansion,
David Kaplan, in Journal of Econometrics (2015)
Keywords: Fixed-smoothing; High-order accuracy; Hypothesis testing; Testing-optimal smoothing parameter;

Fractional order statistic approximation for nonparametric conditional quantile inference,
Matt Goldman and David Kaplan, in Journal of Econometrics (2017)
Keywords: Dirichlet; High-order accuracy; Inference-optimal bandwidth; Kernel smoothing;

Comparing distributions by multiple testing across quantiles or CDF values,
Matt Goldman and David Kaplan, in Journal of Econometrics (2018)
Keywords: Dirichlet; Familywise error rate; Kolmogorov–Smirnov; Probability integral transform; Regression discontinuity;

Evolución geográfica del homicidio en Colombia,
Andres Sanchez, Jabba Ana Maria Diaz, Alejandro Pelaez, Omar Castelblanco, Johanna Tautiva, Cristina Gonzalez and Laura Angel, from Banco de la Republica de Colombia (2012)
Keywords: homicidio, Colombia, I de Moran, análisis espacial.

Comparison of Traditional and Modern Performance Instruments on Selected Companies from Pakistan,
Muhammad Imran Aslam and Ali Akbar Khan, in International Review of Management and Marketing (2015)
Keywords: Stock Exchange, Economic Value Added, Cross Sectional

Spatial econometrics for misaligned data,
Guillaume Allaire Pouliot, in Journal of Econometrics (2023)
Keywords: Spatial econometrics; Gaussian random fields; Large sample distributions; Kriging;

Nonparametric estimation of natural direct and indirect effects based on inverse probability weighting,
Yu-Chin Hsu, Martin Huber and Lai Tsung-Chih, in Journal of Econometric Methods (2019)
Keywords: causal channels, causal mechanisms, causal pathways, direct effects, indirect effects, inverse probability weighting, mediation analysis, nonparametric estimation, propensity score, series logit estimation

Disentangling policy effects into causal channels,
Martin Huber, in IZA World of Labor (2016)
Keywords: causal channels, causal mechanisms, mediation analysis, direct and indirect effects

Rethinking the null hypothesis in significant colocation pattern mining of spatial flows,
Mengjie Zhou, Mengjie Yang, Tinghua Ai, Jiannan Cai and Zhe Chen, in Journal of Geographical Systems (2024)
Keywords: Colocation pattern, Spatial flow, Statistical significance test, Null hypothesis, Random labeling

An Examination of the Relationship between Health and Economic Growth,
Garima Malik, from East Asian Bureau of Economic Research (2006)
Keywords: health, economic growth

Model selection strategies in a spatial context,
Jesus Mur and Ana Angulo, from Facultad de Ciencias Económicas y Empresariales, Universidad de Zaragoza (2005)
Keywords: Model selection, Spatial Econometrics, Cross-sectional dependence

Labor Participation of Married Women in Colombia,
Luis Arango Thomas and Carlos Posada, from Banco de la Republica (2005)
Keywords: married women,

On different approaches to obtaining partial effects in binary response models with endogenous regressors,
Wei Lin and Jeffrey Wooldridge, in Economics Letters (2015)
Keywords: Average index function; Average partial effect; Average structural function;

Neglected Heterogeneity, Simpson’s Paradox, and the Anatomy of Least Squares,
Winkelmann Rainer, in Journal of Econometric Methods (2024)
Keywords: average treatment effect, covariance-weighting, heterogeneity spillover, non-convex average

Insights from the co-authorship network of the Italian academic statisticians,
Silvia Bacci, Bruno Bertaccini and Alessandra Petrucci, in Scientometrics (2023)
Keywords: Bibliographic data source, Network analysis, Quantile regression model, Scientific collaboration

Spatial autoregressive models for scan statistic,
Mohamed-Salem Ahmed, Lionel Cucala and Michaël Genin, in Journal of Spatial Econometrics (2021)
Keywords: Spatial autoregressive models, Scan statistics, Cluster detection

Heterogeneous Treatment Effects in Impact Evaluation,
Eva Vivalt, in American Economic Review (2015)

Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence,
Michael Lechner, Michael Knaus and Anthony Strittmatter, from C.E.P.R. Discussion Papers (2018)
Keywords: Causal machine learning; Conditional average treatment effects; Selection-on-observables; Random forest; Causal forest; Lasso

How to control for many covariates? Reliable estimators based on the propensity score,
Martin Huber, Michael Lechner and Conny Wunsch, from Department of Economics, University of St. Gallen (2010)
Keywords: Propensity score matching, kernel matching, inverse probability weighting, selection on observables, empirical Monte Carlo study, finite sample properties

When Should You Adjust Standard Errors for Clustering?,
Alberto Abadie, Susan Athey, Guido Imbens and Jeffrey Wooldridge, from National Bureau of Economic Research, Inc (2017)

Local Polynomial Order in Regression Discontinuity Designs,
Zhuan Pei, David S. Lee, David Card and Andrea Weber, from National Bureau of Economic Research, Inc (2020)

Econometric Methods for Fractional Response Variables with an Application to 401(k) Plan Participation Rates,
Leslie Papke and Jeffrey Wooldridge, from National Bureau of Economic Research, Inc (1993)

Performance of Some Ridge Parameters for Probit Regression: with Application on Swedish Job Search Data,
Håkan Locking, Kristofer Månsson and Ghazi Shukur, from HUI Research (2012)
Keywords: probit regression; maximum likelihood; multicollinearity; ridge regression; MSE; job search

An Examination of the relationship between Health and Economic Growth,
Garima Malik, from Indian Council for Research on International Economic Relations, New Delhi, India (2006)
Keywords: Health, Economic Growth

Exogenous Treatment and Endogenous Factors: Vanishing of Omitted Variable Bias on the Interaction Term,
Olena Nizalova and Irina Murtazashvili, from Kyiv School of Economics (2011)
Keywords: treatment effect; heterogeneity; policy evaluation; random experiments; omitted variable bias

Evolución geográfica del homicidio en Colombia,
Andres Sanchez-Jabba, Alejandro Peláez Ana María Díaz, Johanna Tautiva Omar Castelblanco and Laura Ángel Cristina González, from Banco de la República, Economía Regional (2012)
Keywords: homicidio, Colombia, I de Moran, análisis espacial

The performance of estimators based on the propensity score,
Martin Huber, Michael Lechner and Conny Wunsch, in Journal of Econometrics (2013)
Keywords: Propensity score matching; Kernel matching; Inverse probability weighting; Inverse probability tilting; Selection on observables; Empirical Monte Carlo study; Finite sample properties;

Direct and Indirect Effects Based on Changes-in-Changes,
Martin Huber, Mark Schelker and Anthony Strittmatter, from CESifo (2019)
Keywords: direct effects, indirect effects, mediation analysis, changes-in-changes, causal mechanisms, treatment effects

Heterogeneous Treatment Effects: Instrumental Variables without Monotonicity?,
Tobias Klein, from Institute of Labor Economics (IZA) (2007)
Keywords: monotonicity, heterogeneity, identification, program evaluation, dummy endogenous variable, selection on unobservables, instrumental variables

Estimating Social Effects with Randomized and Observational Network Data,
Chan TszKin Julian, Estrada Juan, Kim Huynh, Jacho-Chávez David, Lam Chungsang Tom and Sánchez-Aragón Leonardo, in Journal of Econometric Methods (2024)
Keywords: social networks, instrumental variables, causal inference, ψ-dependence

Radius matching on the propensity score with bias adjustment: finite sample behaviour, tuning parameters and software implementation,
Martin Huber, Michael Lechner and Andreas Steinmayr, from University of St. Gallen, School of Economics and Political Science (2012)
Keywords: Propensity score matching, radius matching, selection on observables, empirical Monte Carlo study, finite sample properties

The finite sample performance of estimators for mediation analysis under sequential conditional independence,
Martin Huber, Giovanni Mellace and Michael Lechner, from University of St. Gallen, School of Economics and Political Science (2014)
Keywords: Causal mechanisms, direct effects, indirect effects, simulation, empirical Monte Carlo Study, causal channels, mediation analysis, causal pathways

The finite sample performance of inference methods for propensity score matching and weighting estimators,
Hugo Bodory, Lorenzo Camponovo, Martin Huber and Michael Lechner, from University of St. Gallen, School of Economics and Political Science (2016)
Keywords: Inference, variance estimation, treatment effects, matching, inverse probability weighting

Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence,
Michael Knaus, Michael Lechner and Anthony Strittmatter, from University of St. Gallen, School of Economics and Political Science (2018)
Keywords: Causal machine learning, conditional average treatment effects, selection-on-observables, Random Forest, Causal Forest, Lasso

Double Machine Learning based Program Evaluation under Unconfoundedness,
Michael Knaus, from University of St. Gallen, School of Economics and Political Science (2020)
Keywords: Causal machine learning, conditional average treatment effects, optimal policy learning, individualized treatment rules, multiple treatments

CULTURE OR NATURE: A SPACE-TIME ANALYSIS ON THE DETERMINANTS OF TOURISM DEMAND IN EUROPEAN REGIONS,
João Romão, from CIEO-Research Centre for Spatial and Organizational Dynamics, University of Algarve (2015)
Keywords: Space-time Model; Panel Data; Spatial Analysis; Tourism Demand

Is Workers' Compensation Covering Uninsured Medical Costs? Evidence from the 'Monday Effect',
David Card and Brian McCall, from Princeton University, Department of Economics, Industrial Relations Section. (1994)
Keywords: workers compensation, health insurance, CPS, Current Population Survey

Nonparametric Inference on Quantile Marginal Effects,
David Kaplan, from Department of Economics, University of Missouri (2014)
Keywords: fractional order statistics, high-order accuracy, nonseparable models

Fractional order statistic approximation for nonparametric conditional quantile inference,
David Kaplan and Matt Goldman, from Department of Economics, University of Missouri (2015)
Keywords: Dirichlet, high-order accuracy, inference-optimal bandwidth, kernel smoothing.

Nonparametric inference on conditional quantile differences and linear combinations, using L-statistics,
David Kaplan and Matt Goldman, from Department of Economics, University of Missouri (2015)
Keywords: Dirichlet distribution, fractional order statistics, high-order accuracy, inequality, quantile treatment effects

Nonparametric inference on conditional quantile differences and linear combinations, using L-statistics,
David Kaplan and Matt Goldman, from Department of Economics, University of Missouri (2016)
Keywords: Dirichlet distribution, fractional order statistics, high-order accuracy, inequality, quantile treatment effects

Interpreting Unconditional Quantile Regression with Conditional Independence,
David Kaplan, from Department of Economics, University of Missouri (2020)
Keywords: counterfactual, policy, unconfoundedness

High-order coverage of smoothed Bayesian bootstrap intervals for population quantiles,
David Kaplan and Lonnie Hofmann, from Department of Economics, University of Missouri (2020)
Keywords: continuity correction, credibility, high-order accuracy, smoothing

Assessing Policy Effects with Unconditional Quantile Regression,
David Kaplan, from Department of Economics, University of Missouri (2020)
Keywords: counterfactual, policy, unconfoundedness

High-order coverage of smoothed Bayesian bootstrap intervals for population quantiles,
David Kaplan and Lonnie Hofmann, from Department of Economics, University of Missouri (2020)
Keywords: continuity correction, credible intervals, fractional order statistics

Bias-Adjusted Treatment Effects Under Equal Selection,
Deepankar Basu, from University of Massachusetts Amherst, Department of Economics (2021)
Keywords: treatment effect, omitted variable bias

Bounding Sets for Treatment Effects with Proportional Selection,
Deepankar Basu, from University of Massachusetts Amherst, Department of Economics (2021)
Keywords: treatment effect, omitted variable bias

Another Look at the Identification at Infinity of Sample Selection Models,
Xavier D'Haultfoeuille and Arnaud Maurel, from Institute of Labor Economics (IZA) (2009)
Keywords: identification at infinity, sample selection model, Roy model

How to Control for Many Covariates? Reliable Estimators Based on the Propensity Score,
Martin Huber, Michael Lechner and Conny Wunsch, from Institute of Labor Economics (IZA) (2010)
Keywords: finite sample properties, empirical Monte Carlo study, propensity score matching, kernel matching, inverse probability weighting, selection on observables

The Finite Sample Performance of Semi- and Nonparametric Estimators for Treatment Effects and Policy Evaluation,
Markus Frölich, Martin Huber and Manuel Wiesenfarth, from Institute of Labor Economics (IZA) (2015)
Keywords: treatment effects, policy evaluation, simulation, empirical Monte Carlo study, propensity score, semi- and nonparametric estimation

The Finite Sample Performance of Inference Methods for Propensity Score Matching and Weighting Estimators,
Hugo Bodory, Lorenzo Camponovo, Martin Huber and Michael Lechner, from Institute of Labor Economics (IZA) (2016)
Keywords: matching, treatment effects, variance estimation, inference, inverse probability weighting

Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence,
Michael Knaus, Michael Lechner and Anthony Strittmatter, from Institute of Labor Economics (IZA) (2018)
Keywords: causal forest, causal machine learning, random forest, conditional average treatment effects, lasso, selection-on-observables

Double Machine Learning Based Program Evaluation under Unconfoundedness,
Michael Knaus, from Institute of Labor Economics (IZA) (2020)
Keywords: causal machine learning, individualized treatment rules, conditional average treatment effects, optimal policy learning, multiple treatments

Another Look at the Identification at Infinity of Sample Selection Models,
Arnaud Maurel and Xavier D'Haultfoeuille, from Duke University, Department of Economics (2011)
Keywords: Identification at infinity, sample selection model, Roy model

Bootstrap inference of matching estimators for average treatment effects,
Taisuke Otsu and Yoshiyasu Rai, from Suntory and Toyota International Centres for Economics and Related Disciplines, LSE (2015)
Keywords: Treatment effect, matching, bootstrap

A Robust Test of Exogeneity Based on Quantile Regressions,
Tae-Hwan Kim and Christophe Muller, from Aix-Marseille School of Economics, France (2017)
Keywords: regression quantile, endogeneity, Two-Stage Estimation, Hausman test

Neglected heterogeneity, Simpson’s paradox, and the anatomy of least squares,
Rainer Winkelmann, from Department of Economics - University of Zurich (2023)
Keywords: Covariance-weighting, heterogeneity spillover, non-convex average, average treatment effect

A test for endogeneity in conditional quantile models,
Tae-Hwan Kim and Christophe Muller, from Yonsei University, Yonsei Economics Research Institute (2012)
Keywords: regression quantile, endogeneity, two-stage estimation, Hausman test, Engel curve

Do Local Economic Development Programs Work? Evidence from the Federal Empowerment Zone Program,
Matias Busso and Patrick Kline, from Yale University, Department of Economics (2008)

The finite sample performance of semi- and nonparametric estimators for treatment effects and policy evaluation,
Markus Frölich, Martin Huber and Manuel Wiesenfarth, from Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland (2015)
Keywords: treatment effects; policy evaluation; simulation; empirical Monte Carlo study; propensity score; semi- and nonparametric estimation

The finite sample performance of inference methods for propensity score matching and weighting estimators,
Hugo Bodory, Martin Huber, Lorenzo Camponovo and Michael Lechner, from Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland (2016)
Keywords: inference; variance estimation; treatment effects; matching; inverse probability weighting

Nonparametric estimation of natural direct and indirect effects based on inverse probability weighting,
Yu-Chin Hsu, Martin Huber and Tsung Chih Lai, from Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland (2017)
Keywords: causal mechanisms; direct effects; indirect effects; causal channels; mediation analysis; causal pathways; series logit estimation; nonparametric estimation; inverse probability weighting; propensity score

The causalweight package for causal inference in R,
Hugo Bodory and Martin Huber, from Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland (2018)
Keywords: Treatment effect, selection on observables, sample selection, mediation analysis, instrumental variable, IPW

Direct and indirect effects of continuous treatments based on generalized propensity score weighting,
Yu-Chin Hsu, Martin Huber, Ying-Ying Lee and Layal Pipoz, from Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland (2018)
Keywords: Mediation; direct and indirect effects; continuous treatment; weighting; generalized propensity score