Specification Tests in Econometrics
Open accessAbstract
Using the result that under the null hypothesis of no misspecification an asymptotically efficient estimator must have zero asymptotic covariance with its difference from a consistent but asymptotically inefficient estimator, specification tests are devised for a number of model specifications in econometrics. Local power is calculated for small departures from the null hypothesis. An instrumental variable test as well as tests for a time series cross section model and the simultaneous equation model are presented. An empirical model provides evidence that unobserved individual factors are present which are not orthogonal to the included right-hand-side variable in a common econometric specification of an individual wage equation.
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The Hausman test confirmed that the PMG estimator is more efficient and consistent than the MG estimator.
“Table 7 above also shows that the Hausman test, which helps to determine whether there is a significant difference between MG and PMG estimators, confirmed that the PMG is more efficient and consistent compared to the MG (Hausman 1978).”
From Financial Inclusion and Economic Growth in Sub-Saharan Africa—A Panel ARDL and Granger Non-Causality Approach (2023) · cites this paper as Hausman 1978
The panel-data models and empirical example sections describe a Hausman specification test based on differences between estimators, supporting the methodological part of the citation. They compare fixed-effects and GLS estimators, not MG and PMG, and do not establish that PMG is more efficient and consistent than MG in the citing paper’s Table 7. The source also makes efficiency and consistency conditional on the specification. (LLM, conf=0.85)
Experimental — accuracy not yet measuredThe Hausman test was employed to determine the suitable model among MG, PMG, and DFE.
“In addition, we employed the Hausman test (Hausman 1978) to determine the suitable model to use between the mean group (MG), PMG, and the dynamic fixed effects (DFEs).”
From Financial inclusion, bank competition and economic growth in Africa (2021) · cites this paper as Hausman 1978
Hausman tests indicated that estimates would suffer mildly from omitted variables bias and that the fixed effects model was preferred.
“The results showed that the estimates would suffer, albeit only mildly, from omitted variables bias and that the use of fixed effects model was preferred.”
From Perceived Quality of the Mother–Adolescent and Father–Adolescent Attachment Relationship and Adolescents’ Self-Esteem (2019) · cites this paper as Hausman (1978)
A Hausman test was performed to test whether factors that differ across countries, such as differing strength of diabetes surveillance systems, would systematically affect the results, ensuring the available data were suitable to answer the research questions.
“First, a Hausman test [28] was performed to test whether factors that differ across countries such as the differing strength of diabetes surveillance systems would systematically affect our results, ensuring the available data were suitable to answer our research questions.”
From The relationship of sugar to population-level diabetes prevalence: an econometric analysis of repeated cross-sectional data (2013) · cites this paper as [28]
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Cites
On the Pooling of Time Series and Cross Section Data
Mundlak, Y. (1978) · Econometrica · doi:10.2307/1913646 · Cited by 5,412 · see citing works
The Estimation of Economic Relationships using Instrumental Variables
Sargan, J. D. (1958) · Econometrica · doi:10.2307/1907619 · Cited by 3,377 · see citing works
Searle, S. R., & Searle, S. R. (1971) · Cited by 3,229 · see citing works
Theory of Statistical Estimation
Fisher, R. A. (1925) · Mathematical Proceedings of the Cambridge Philosophical Society · doi:10.1017/s0305004100009580 · Cited by 2,684 · see citing works
Estimation of the Parameters of a Single Equation in a Complete System of Stochastic Equations
Anderson, T. W., & Rubin, H. (1949) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177730090 · Cited by 1,607 · see citing works
Iversen, G. R., & Norpoth, H. (1987) · Springer eBooks · doi:10.1007/978-3-642-04898-2_117 · Cited by 1,515 · see citing works
Alternative Tests of Independence between Stochastic Regressors and Disturbances
Wu, D.-M. (1973) · Econometrica · doi:10.2307/1914093 · Cited by 1,333 · see citing works
Silvey, S. D. (1976) · Routledge eBooks · doi:10.1201/9780203738641 · Cited by 559 · see citing works
The Use of Error Components Models in Combining Cross Section with Time Series Data
Wallace, T. D., & Hussain, A. (1969) · Econometrica · doi:10.2307/1909205 · Cited by 529 · see citing works
The Use of Variance Components Models in Pooling Cross Section and Time Series Data
Maddala, G. S. (1971) · Econometrica · doi:10.2307/1913349 · Cited by 522 · see citing works
A Generalized Classical Method of Linear Estimation of Coefficients in a Structural Equation
BASMANN, R. L. (1957) · Econometrica · doi:10.2307/1907743 · Cited by 433 · see citing works
Hausman, J. A. (1975) · Econometrica · doi:10.2307/1913081 · Cited by 230 · see citing works
Self-citationEfficient Estimation with A Priori Information.
Smith, R. P., & Rothenberg, T. J. (1974) · The Economic Journal · doi:10.2307/2231070 · Cited by 227 · see citing works
Efficient Estimation of Simultaneous Equations by Instrumental Variables
Brundy, J. M., & Jorgenson, D. W. (1971) · The Review of Economics and Statistics · doi:10.2307/1937965 · Cited by 183 · see citing works
A Note on Error-Components Models
Nerlove, M. (1972) · Econometrica · doi:10.2307/1909742 · Cited by 126 · see citing works
Multicollinearity and the Mean Square Error of Alternative Estimators
Feldstein, M. S. (1973) · Econometrica · doi:10.2307/1913493 · Cited by 42 · see citing works
A Simplified Structural Estimator for Large‐Scale Econometric Models1
Dkrymes, P. J. (1971) · Australian Journal of Statistics · doi:10.1111/j.1467-842x.1971.tb01258.x · Cited by 27 · see citing works
Testing for Misspecification in Econometric Systems Using Full Information
Byron, R. P. (1972) · International Economic Review · doi:10.2307/2525854 · Cited by 25 · see citing works
Flagged first, then by citations
Research works printed but not linked: 7
- Brundy J., Jorgenson D. W. (1971). Efficient estimation of simultaneous equation systems by instrumen- tal variables. Review of Economics and Statistics, 53 (2), 207-224.
- Byron R. P. (1974). Testing structural specification using the unrestricted reduced form. Econometrica, 42 (5), 869-883.
- Gordon R. (1976). Essays on the causes and equitable treatment of differences in earnings and ability. Massachusetts Institute of Technology, Ph. D. Thesis, June, 1976.
- by W. Hood and T. C. Koopmans. New Haven: Yale University Press, 1953, 113-199.
- Liviatan N. (1963). Tests of the permanent income hypothesis based on a re-interview savings study. In: Measurement in Economics, ed. by C. Christ. Stanford: Stanford University Press, 1963, 29-59.
- Ramsey J. B. (1974). Classical model selection through specification error tests. In: Frontiers of Econo- metrics, ed. by P. Zarembka. New York: Academic Press.
- Rao C. R. (1973). Linear statistical inference. New York: Wiley.
Cited by
Sorted by citations
Arellano, M., & Bond, S. (1991) · The Review of Economic Studies · doi:10.2307/2297968 · Cited by 33,272 · see citing works
(2001) · RePEc: Research Papers in Economics · Cited by 27,577 · see citing works
A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity
White, H. (1980) · Econometrica · doi:10.2307/1912934 · Cited by 25,861 · see citing works
Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches
Petersen, M. A. (2008) · Review of Financial Studies · doi:10.1093/rfs/hhn053 · Cited by 10,804 · see citing works
HUSELID, M. A. (1995) · Academy of Management Journal · doi:10.2307/256741 · Cited by 9,342 · see citing works
Discrete Choice Methods with Simulation
Train, K. E. (2001) · doi:10.1017/cbo9780511805271 · Cited by 7,784 · see citing works
Pooled Mean Group Estimation of Dynamic Heterogeneous Panels
Pesaran, M. H., Shin, Y., & Smith, R. P. (1999) · Journal of the American Statistical Association · doi:10.1080/01621459.1999.10474156 · Cited by 6,683 · see citing works
Testing slope homogeneity in large panels
Pesaran, M. H., & Yamagata, T. (2007) · Journal of Econometrics · doi:10.1016/j.jeconom.2007.05.010 · Cited by 6,048 · see citing works
Frankel, J. A., & Romer, D. (1999) · American Economic Review · doi:10.1257/aer.89.3.379 · Cited by 5,593 · see citing works
Reading Mendelian randomisation studies: a guide, glossary, and checklist for clinicians
Davies, N. M., Holmes, M. V., & Davey Smith, G. (2018) · BMJ · doi:10.1136/bmj.k601 · Cited by 4,404 · see citing works
Expected stock returns and volatility
French, K. R., Schwert, G. W., & Stambaugh, R. F. (1987) · Journal of Financial Economics · doi:10.1016/0304-405x(87)90026-2 · Cited by 4,151 · see citing works
The rise and fall of the Environmental Kuznets Curve
Stern, D. I. (2004) · World Development · doi:10.1016/j.worlddev.2004.03.004 · Cited by 4,013 · see citing works
Stock Market Prices Do Not Follow Random Walks: Evidence from a Simple Specification Test
Lo, A. W., & MacKinlay, A. C. (1988) · Review of Financial Studies · doi:10.1093/rfs/1.1.41 · Cited by 3,747 · see citing works
Maximum Likelihood Estimation of Misspecified Models
White, H. (1983) · Econometrica · doi:10.2307/1912004 · Cited by 3,702 · see citing works
Econometric Models for Count Data with an Application to the Patents-R & D Relationship
Hausman, J., Hall, B. H., & Griliches, Z. (1984) · Econometrica · doi:10.2307/1911191 · Cited by 3,393 · see citing works
Self-citationA Dynamic Process Model of Service Quality: From Expectations to Behavioral Intentions
Boulding, W., Kalra, A., Staelin, R., & Zeithaml, V. A. (1993) · Journal of Marketing Research · doi:10.1177/002224379303000102 · Cited by 3,718 · see citing works
Robust Standard Errors for Panel Regressions with Cross-Sectional Dependence
Hoechle, D. (2007) · The Stata Journal Promoting communications on statistics and Stata · doi:10.1177/1536867x0700700301 · Cited by 3,462 · see citing works
Galit Shmueli, A. (2010) · Statistical Science · doi:10.1214/10-sts330 · Cited by 3,121 · see citing works
Jaffe, A. B. (1986) · National Bureau of Economic Research · doi:10.3386/w1815 · Cited by 2,808 · see citing works
Corporate Disclosure Policy and Analyst Behavior.
Lang, M. H., & Lundholm, R. J. (1996) · The Accounting Review · doi:10.2308/tar-9611271989 · Cited by 2,745 · see citing works
High Wage Workers and High Wage Firms
Abowd, J. M., Kramarz, F., & Margolis, D. N. (1999) · Econometrica · doi:10.1111/1468-0262.00020 · Cited by 2,563 · see citing works
Instrumental Variables and GMM: Estimation and Testing
Baum, C. F., Schaffer, M. E., & Stillman, S. (2003) · The Stata Journal Promoting communications on statistics and Stata · doi:10.1177/1536867x0300300101 · Cited by 2,632 · see citing works
Does Compulsory School Attendance Affect Schooling and Earnings?
Angrist, J. D., & Krueger, A. B. (1991) · The Quarterly Journal of Economics · doi:10.2307/2937954 · Cited by 2,565 · see citing works
Estimating Standard Errors in Finance Panel Data Sets: Comparing ApproachesPreprint
Petersen, M. A. (2006) · SSRN Electronic Journal · doi:10.2139/ssrn.661481 · Cited by 2,561 · see citing works
Himmelberg, C. P., Hubbard, R. G., & Palia, D. N. (1999) · Journal of Financial Economics · doi:10.1016/s0304-405x(99)00025-2 · Cited by 2,502 · see citing works
Root-N-Consistent Semiparametric Regression
Robinson, P. M. (1988) · Econometrica · doi:10.2307/1912705 · Cited by 2,450 · see citing works
Accrual-Based and Real Earnings Management Activities Around Seasoned Equity Offerings
Cohen, D. A., & Zarowin, P. A. (2008) · Journal of Accounting and Economics · doi:10.1016/j.jacceco.2010.01.002 · Cited by 2,489 · see citing works
On making causal claims: A review and recommendations
Antonakis, J., Bendahan, S., Jacquart, P., & Lalive, R. (2010) · The Leadership Quarterly · doi:10.1016/j.leaqua.2010.10.010 · Cited by 2,441 · see citing works
On the use of instrumental variables in accounting research
Larcker, D. F., & Rusticus, T. O. (2009) · Journal of Accounting and Economics · doi:10.1016/j.jacceco.2009.11.004 · Cited by 2,340 · see citing works
Capital Structures in Developing Countries
Booth, L. D., Aivazian, V. A., Demirgüç‐Kunt, A., & Maksimovic, V. (2001) · The Journal of Finance · doi:10.1111/0022-1082.00320 · Cited by 2,336 · see citing works
The Effects of Board Composition and Direct Incentives on Firm Performance
Hermalin, B. E., & Weisbach, M. S. (1991) · Financial Management · doi:10.2307/3665716 · Cited by 2,313 · see citing works
Evidence on the Trade-Off between Real Activities Manipulation and Accrual-Based Earnings Management
Zang, A. Y. (2011) · The Accounting Review · doi:10.2308/accr-10196 · Cited by 2,298 · see citing works
Panel Data and Unobservable Individual Effects
Hausman, J. A., & Taylor, W. E. (1981) · Econometrica · doi:10.2307/1911406 · Cited by 2,264 · see citing works
Self-citationArellano, M. (2003) · doi:10.1093/0199245282.001.0001 · Cited by 2,104 · see citing works
The analysis of household surveys: A microeconometric approach to development policy
Deaton, A. (1997) · doi:10.1596/0-8018-5254-4 · Cited by 4,877 · see citing works
Al-Tuwaijri, S. A., Christensen, T. E., & Hughes, K. E. (2004) · Accounting, Organizations and Society · doi:10.1016/s0361-3682(03)00032-1 · Cited by 2,080 · see citing works
Berger, A. N., Miller, N. H., Petersen, M. A., Rajan, R. G., & Stein, J. C. (2005) · Journal of Financial Economics · doi:10.1016/j.jfineco.2004.06.003 · Cited by 1,888 · see citing works
Specification and testing of some modified count data models
Mullahy, J. (1986) · Journal of Econometrics · doi:10.1016/0304-4076(86)90002-3 · Cited by 1,876 · see citing works
Huselid, M. A., Jackson, S. E., & Schüler, R. S. (1997) · Academy of Management Journal · doi:10.2307/257025 · Cited by 1,825 · see citing works
Who Benefits from State and Local Economic Development Policies?
Bartik, T. J. (1991) · doi:10.17848/9780585223940 · Cited by 2,643 · see citing works
Chapter 36 Large sample estimation and hypothesis testing
Newey, W. K., & McFadden, D. (1994) · Handbook of Econometrics · doi:10.1016/s1573-4412(05)80005-4 · Cited by 1,743 · see citing works
Two-stage residual inclusion estimation: Addressing endogeneity in health econometric modeling
Terza, J. V., Basu, A., & Rathouz, P. J. (2008) · Journal of Health Economics · doi:10.1016/j.jhealeco.2007.09.009 · Cited by 1,728 · see citing works
Corporate Governance and Firm Performance
Bhagat, S., & Bolton, B. (2007) · Journal of Corporate Finance · doi:10.1016/j.jcorpfin.2008.03.006 · Cited by 1,749 · see citing works
Panel Data Models With Interactive Fixed Effects
(2009) · Econometrica · doi:10.3982/ecta6135 · Cited by 1,690 · see citing works
INDUSTRY SELF-REGULATION WITHOUT SANCTIONS: THE CHEMICAL INDUSTRY'S RESPONSIBLE CARE PROGRAM.
King, A. A., & Lenox, M. J. (2000) · Academy of Management Journal · doi:10.2307/1556362 · Cited by 1,673 · see citing works
Control Function Methods in Applied Econometrics
Wooldridge, J. M. (2015) · The Journal of Human Resources · doi:10.3368/jhr.50.2.420 · Cited by 1,652 · see citing works
Limited information estimators and exogeneity tests for simultaneous probit models
Rivers, D., & Vuong, Q. (1988) · Journal of Econometrics · doi:10.1016/0304-4076(88)90063-2 · Cited by 1,630 · see citing works
Hitt, L. M., & Brynjolfsson, E. (1996) · MIS Quarterly · doi:10.2307/249475 · Cited by 1,628 · see citing works
Errors in variables in panel data
Griliches, Z., & Hausman, J. A. (1986) · Journal of Econometrics · doi:10.1016/0304-4076(86)90058-8 · Cited by 1,627 · see citing works
Self-citationAn Econometric Analysis of Residential Electric Appliance Holdings and Consumption
Dubin, J. A., & McFadden, D. L. (1984) · Econometrica · doi:10.2307/1911493 · Cited by 1,625 · see citing works
Multivariate Analysis with Latent Variables: Causal Modeling
Bentler, P. M. (1980) · Annual Review of Psychology · doi:10.1146/annurev.ps.31.020180.002223 · Cited by 1,621 · see citing works
Political risk, institutions and foreign direct investment
Busse, M., & Hefeker, C. (2007) · European Journal of Political Economy · doi:10.1016/j.ejpoleco.2006.02.003 · Cited by 1,606 · see citing works
Acemoğlu, D., Johnson, S., Robinson, J. A., & Yared, P. (2005) · American Economic Review · doi:10.1257/aer.98.3.808 · Cited by 1,593 · see citing works
Coe, D. T., Helpman, E., & Hoffmaister, A. W. (1997) · The Economic Journal · doi:10.1111/1468-0297.00146 · Cited by 1,588 · see citing works
Production Frontiers and Panel Data
Schmidt, P. S., & Sickles, R. C. (1984) · Journal of Business and Economic Statistics · doi:10.1080/07350015.1984.10509410 · Cited by 1,585 · see citing works
Distance, Lending Relationships, and Competition
Degryse, H., & Ongena, S. R. G. (2005) · The Journal of Finance · doi:10.1111/j.1540-6261.2005.00729.x · Cited by 1,494 · see citing works
Amemiya, T. (1984) · Journal of Econometrics · doi:10.1016/0304-4076(84)90074-5 · Cited by 1,554 · see citing works
Explaining Fixed Effects: Random Effects Modeling of Time-Series Cross-Sectional and Panel Data
Bell, A., & Jones, K. (2014) · Political Science Research and Methods · doi:10.1017/psrm.2014.7 · Cited by 1,536 · see citing works
Firm characteristics and analyst following
Bhushan, R. (1989) · Journal of Accounting and Economics · doi:10.1016/0165-4101(89)90008-6 · Cited by 1,535 · see citing works
The economic burden of malaria.
Gallup, J., & Sachs, J. (2001) · American Journal of Tropical Medicine and Hygiene · doi:10.4269/ajtmh.2001.64.85 · Cited by 1,754 · see citing works
On the Specification and Estimation of the Production Function for Cognitive Achievement
Todd, P. E., & Wolpin, K. I. (2003) · The Economic Journal · doi:10.1111/1468-0297.00097 · Cited by 1,514 · see citing works
Darr, E. D., Argote, L., & Epple, D. N. (1995) · Management Science · doi:10.1287/mnsc.41.11.1750 · Cited by 1,455 · see citing works
Explaining the Diversification Discount
Campa, J. M., & Kedia, S. (2002) · The Journal of Finance · doi:10.1111/1540-6261.00476 · Cited by 1,373 · see citing works
Econometrics of Testing for Jumps in Financial Economics Using Bipower Variation
Barndorff-Nielsen, O. E. (2005) · Journal of Financial Econometrics · doi:10.1093/jjfinec/nbi022 · Cited by 1,347 · see citing works
Pritchett, L. H., & Summers, L. H. (1996) · The Journal of Human Resources · doi:10.2307/146149 · Cited by 1,326 · see citing works
Panel data methods for fractional response variables with an application to test pass rates
Papke, L. E., & Wooldridge, J. M. (2008) · Journal of Econometrics · doi:10.1016/j.jeconom.2008.05.009 · Cited by 1,322 · see citing works
Corruption, Political Allegiances, and Attitudes Toward Government in Contemporary Democracies
Anderson, C. J., & Tverdova, Y. V. (2003) · American Journal of Political Science · doi:10.1111/1540-5907.00007 · Cited by 1,311 · see citing works
The Choice Theory Approach to Market Research
McFadden, D. L. (1986) · Marketing Science · doi:10.1287/mksc.5.4.275 · Cited by 1,310 · see citing works
Using multiple genetic variants as instrumental variables for modifiable risk factors
Palmer, T. M., Lawlor, D. A., Harbord, R. M., Sheehan, N. A., Tobias, J. H., Timpson, N. J., Smith, G. D., & Sterne, J. A. (2012) · Statistical Methods in Medical Research · doi:10.1177/0962280210394459 · Cited by 1,289 · see citing works
Corporate Governance and Sustainability Performance: Analysis of Triple Bottom Line Performance
Hussain, N., Rigoni, U., & Orij, R. P. (2016) · Journal of Business Ethics · doi:10.1007/s10551-016-3099-5 · Cited by 1,346 · see citing works
US Valuation of the EQ-5D Health States
Shaw, J. W., Johnson, J. A., & Coons, S. J. (2005) · Medical Care · doi:10.1097/00005650-200503000-00003 · Cited by 1,271 · see citing works
Hult, G. T. M., Hair, J. F., Proksch, D., Sarstedt, M., Pinkwart, A., & Ringle, C. M. (2018) · Journal of International Marketing · doi:10.1509/jim.17.0151 · Cited by 1,302 · see citing works
Hope, O. (2003) · Journal of Accounting Research · doi:10.1111/1475-679x.00102 · Cited by 1,265 · see citing works
Least absolute deviations estimation for the censored regression model
Powell, J. L. (1984) · Journal of Econometrics · doi:10.1016/0304-4076(84)90004-6 · Cited by 1,256 · see citing works
Schilke, O. (2014) · Strategic Management Journal · doi:10.1002/smj.2099 · Cited by 1,264 · see citing works
Motives for Private Income Transfers
Cox, D. (1987) · Journal of Political Economy · doi:10.1086/261470 · Cited by 1,250 · see citing works
Demystifying the environmental Kuznets curve: turning a black box into a policy tool
PANAYOTOU, T. (1997) · Environment and Development Economics · doi:10.1017/s1355770x97000259 · Cited by 1,217 · see citing works
Hendry, D. F. (1995) · doi:10.1093/0198283164.001.0001 · Cited by 1,199 · see citing works
Bernheim, B. D., Shleifer, A., & Summers, L. H. (1986) · Journal of Labor Economics · doi:10.1086/298126 · Cited by 1,197 · see citing works
Handling Endogenous Regressors by Joint Estimation Using Copulas
Park, S., & Gupta, S. (2012) · Marketing Science · doi:10.1287/mksc.1120.0718 · Cited by 1,160 · see citing works
An Exogeneity Test for a Simultaneous Equation Tobit Model with an Application to Labor Supply
Smith, R. J., & Blundell, R. W. (1986) · Econometrica · doi:10.2307/1911314 · Cited by 1,158 · see citing works
Panel data analysis—advantages and challenges
Hsiao, C. (2007) · Test · doi:10.1007/s11749-007-0046-x · Cited by 1,155 · see citing works
Hall, P. A., & Gingerich, D. (2009) · British Journal of Political Science · doi:10.1017/s0007123409000672 · Cited by 1,133 · see citing works
The relation between implied and realized volatility
Christensen, B. J., & Prabhala, N. R. (1998) · Journal of Financial Economics · doi:10.1016/s0304-405x(98)00034-8 · Cited by 1,115 · see citing works
Fixed and random effects models: making an informed choice
Bell, A., Fairbrother, M., & Jones, K. (2019) · Quality & Quantity · doi:10.1007/s11135-018-0802-x · Cited by 1,085 · see citing works
A Control Function Approach to Endogeneity in Consumer Choice Models
Petrin, A., & Train, K. E. (2010) · Journal of Marketing Research · doi:10.1509/jmkr.47.1.3 · Cited by 1,100 · see citing works
CEO Hubris and Firm Risk Taking in China: The Moderating Role of Managerial Discretion
Li, J., & Tang, Y. (2010) · Academy of Management Journal · doi:10.5465/amj.2010.48036912 · Cited by 1,086 · see citing works
Analyst Coverage and Intangible Assets
Barth, M. E., Kasznik, R., & McNichols, M. F. (2001) · Journal of Accounting Research · doi:10.1111/1475-679x.00001 · Cited by 1,078 · see citing works
Local Capture: Evidence from a Central Government Transfer Program in Uganda
Reinikka, R., & Svensson, J. (2004) · The Quarterly Journal of Economics · doi:10.1162/0033553041382120 · Cited by 1,148 · see citing works
Asymmetric Least Squares Estimation and Testing
Newey, W. K., & Powell, J. L. (1987) · Econometrica · doi:10.2307/1911031 · Cited by 1,057 · see citing works
Family Firms and Social Responsibility: Preliminary Evidence from the S&P 500
Dyer, W. G., & Whetten, D. A. (2006) · Entrepreneurship Theory and Practice · doi:10.1111/j.1540-6520.2006.00151.x · Cited by 1,045 · see citing works
Impact of a Confounding Variable on a Regression Coefficient
Frank, K. A. (2000) · Sociological Methods & Research · doi:10.1177/0049124100029002001 · Cited by 1,042 · see citing works
Controlling for endogeneity with instrumental variables in strategic management research
Bascle, G. (2008) · Strategic Organization · doi:10.1177/1476127008094339 · Cited by 1,133 · see citing works
Gulati, R., & Sytch, M. (2007) · Administrative Science Quarterly · doi:10.2189/asqu.52.1.32 · Cited by 1,003 · see citing works
The Model-Free Implied Volatility and Its Information Content
Jiang, G. J., & Tian, Y. S. (2005) · Review of Financial Studies · doi:10.1093/rfs/hhi027 · Cited by 1,015 · see citing works
Estimating Models with Sample Selection Bias: A Survey
Vella, F. (1998) · The Journal of Human Resources · doi:10.2307/146317 · Cited by 1,010 · see citing works
Phelps, C. (2010) · Academy of Management Journal · doi:10.5465/amj.2010.52814627 · Cited by 96 · see citing works
Gilsing, V. A., Nooteboom, B., Vanhaverbeke, W. P. M., Duysters, G. M., & van den Oord, A. (2008) · Research Policy · doi:10.1016/j.respol.2008.08.010 · Cited by 1,008 · see citing works
Auditor choice and the cost of debt capital for newly public firms
PITTMAN, J. A., & Fortin, S. (2004) · Journal of Accounting and Economics · doi:10.1016/j.jacceco.2003.06.005 · Cited by 997 · see citing works
Building Dynamic Capabilities: Innovation Driven by Individual-, Firm-, and Network-Level Effects
Rothaermel, F. T., & Hess, A. M. (2007) · Organization Science · doi:10.1287/orsc.1070.0291 · Cited by 981 · see citing works
- Authors
- Hausman, J. A.
- Corresponding author
- Hausman, J. A.
- Venue
- Econometrica
- Publisher
- JSTOR
- Published
- 1978-11
- Volume
- 46
- Issue
- 6
- Pages
- 1251
- ISSN
- 0012-9682 (ISSN-L)
- OpenAlex
- W2112352537
- Cited by
- 18,820
- References
- 18
- Citations by year
- 2026: 1074 · 2025: 994 · 2024: 999 · 2023: 922 · 2022: 1010 · 2021: 1016 · 2020: 929 · 2019: 823 · 2018: 675 · 2017: 655 · 2016: 682 · 2015: 631 · 2014: 658 · 2013: 637 · 2012: 606
- FWCI
- 84.19
- Type
- journal article
- Language
- en
- Open access
- green
- pe.cemi.rssi.ru
- Locations
- Econometrica (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Spatial and Panel Data Analysis
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Statistical Methods and Models
- Keywords
- specification tests, model misspecification, asymptotic efficiency, local power, systems of equations, wage equation, consistent estimators
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