Questions tagged [econometrics]

Econometrics is the application of statistical methods to economic data for various purposes such as of testing hypotheses, infering causal relationships and forecasting future trends. Only use this tag for questions relating to the theoretical aspect of an econometric technique.

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How can I test for autoregressive residual terms in a fixed effects panel Poisson model?

I have panel data for counts of new firms in different regions for six years. I am estimating a static poisson regression with multiplicative fixed effects$^*$; I have also tried to estimate a dynamic ...
Matthijs's user avatar
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5 votes
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65 views

p-hacking vs. parameter calibration?

I'm currently tasked in my job to design a Prospect Theory (here CPT-)index as mentioned in Barberis, Mukherjee and Wang (2016): "Prospect Theory and Stock Returns: An Empirical Test", see ...
T123's user avatar
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4 votes
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Endogeneity in demand estimation using demand systems estimations

Assume I have quantities and prices for J products across M markets in T periods. I want to estimate their elasticities. I construct J regressions of this type: $$\log \left(q_{j m t}\right)=\alpha_{t}...
AverageGuy's user avatar
4 votes
0 answers
48 views

comparison of micro production functions

There are many different production function estimation methods, relevant for micro and firm data. For example Olley-Pakes, Levinsohn-Petrin, Ackerberg et al., Wooldridge etc. But does anyone know of ...
cel's user avatar
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Max Likelihood Estimators of a stable Gaussian VAR$(p)$ process. Are the Lutkepohl formulas correct?

In «New Introduction to Multiple Time Series», page 90, we have the following formulas for the ML estimators of a stable Gaussian VAR$(p)$ process: where $\tilde \alpha = vec(\tilde A_1,...,\tilde ...
An old man in the sea.'s user avatar
4 votes
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80 views

R reproducible example, restrictions on cointegrating equations

The code given below estimates a VEC model with 4 cointegrating vectors. It is a reproducible code, so just copy and paste into your R console (or script editor). ...
london's user avatar
  • 1,990
4 votes
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237 views

Explanation of paper's econometric assumptions

The authors of this paper (http://andrewleigh.org/pdf/GunBuyback_Panel.pdf) appear to be essentially regressing the change in the death rate to the change in guns from a gun buy back in Australia, at ...
B_Miner's user avatar
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Econometrics: Weights in regression that contains averages

Let's say I have a regression of the form: $$y_j=a_0+a_1*T_j+a_2*X_j+u_j$$ where $j$ stands for county, and $y$ and $X$ are averages over worker outcomes/characteristics for each county, and $T$ is ...
cheesecake's user avatar
4 votes
0 answers
60 views

Non parametric and parametric tests of martingale?

A martingale is a model in which the expectation for the next value is equal to the presently observed value, even given knowledge of prior values, ie $E(X_{n+1} |X_1, X_2, ..,X_n)=X_n$ What tests ...
user157623's user avatar
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3 votes
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Is there a labor vs leisure model with work experience?

I find the labor-leisure model with utility functions interesting, but I find it lacks the factor of work experience, which is very important in the real life labor market. This is a reason people why ...
Nicolas Torres's user avatar
3 votes
0 answers
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Orthogonality of two Subspaces

Note: This is a Linear Algebra Question. I'm posting here because I find this community more helpful than maths stack! And ofc linear algebra is fundamental to econometrics, as well! Martin Anthony ...
CormJack's user avatar
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Is it possible to run a regression discontinuity design (RDD) with different treatment intensities?

My question arises from an arbitrary assignment rule which gives monetary transfers to cities in Colombia with a population of less than 25,000 inhabitants. However, the transfer varies between cities ...
Luis Felipe Gaviria's user avatar
3 votes
0 answers
38 views

Do t-stats created with robust standard errors follow a t-distribution in finite samples?

I am creating econometrics notes and proved that, with normally distributed errors, homoskedasticity, and no serial correlation, t-stats based on baseline OLS standard errors do in fact follow a t-...
Michael Gmeiner's user avatar
3 votes
0 answers
86 views

How did econometricians justify the use of $EU$ instead of $EU^2$?

Consider the following two utility functions: $EU(p)=\sum_i u_ip_i$ $EU^2(p)=(\sum_i u_ip_i)^2$. In preference theory, $EU$ and $EU^2$ are equivalent because they represent the same preference. A ...
dodo's user avatar
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Structural Estimation, Simulations, and Initial Values

I want to estimate model parameters and fear about the impact of initial values of simulations. Short model overview Consider a firm producing a homogeneous output good whose output price, $P_t$, is $...
Alex's user avatar
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38 views

How to measure mental accounts of an individual?

I wonder whether its possible to identify mental accounts as defined by Richard Thaler https://www.jstor.org/stable/183904 given i observe consumption and/ or investment behavior of an individual? I ...
T123's user avatar
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How to combine labor market time series when there is a methodological change that creates a break?

Any suggestions on how to combine time series of labor market variables (such as, for example, labor force participation) when there is a methodological change in the way the variable is calculated by ...
night_owl89's user avatar
3 votes
0 answers
63 views

At what level should I cluster my standard errors and why?

I have a yearly panel data in which each observation is a pair of monitoring stations (stations measuring water quality in rivers) one located upstream and the other downstream, each station in the ...
Quinoba's user avatar
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3 votes
0 answers
94 views

GMM Estimation with HAC Weight Matrix in R

I am currently working on my econometrics assignment regarding a seminal paper of John Taylor (1993) and really got stuck during the last days with one specific question. I am supposed to set up a GMM ...
jotheta's user avatar
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3 votes
0 answers
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Weighted OLS with weights as a regressor

Suppose one estimates: $$y_i =\beta_0 +\beta_1 x_i +\varepsilon_i$$ with weighted least squares using $w_i$ as weights. If one were instead to estimate $$y_i =\beta_0 +\beta_1 x_i +\beta_2 w_i +\...
Michael Gmeiner's user avatar
3 votes
0 answers
767 views

Kleibergen Paap F-statistic

I have commonly seen references to a Kleibergen and Paap F-statistic. In their paper, I see a derivation of a chi-squared statistic, but don't see any references to the F-distribution or F-stat. In ...
Michael Gmeiner's user avatar
3 votes
0 answers
317 views

How to estimate an SUR model in R with fixed effects and clustered standard errors?

I want to estimate an SUR (Seemingly Unrelated Regressions) model. I tried using systemfit and its wrapper Zelig. But I am not ...
Anisha Garg's user avatar
3 votes
0 answers
57 views

AR(q) Strongly Stationary

Consider an AR(q) process, $u_t$. If the roots of a characteristic polynomial are outside of the unit circle, the AR(q) process is weakly stationary. I've seen this proof that proceeds by showing the ...
Michael Gmeiner's user avatar
3 votes
0 answers
41 views

Get empirical steady state moments for calibrating a DSGE model

I want to calibrate some parameters of my DSGE model so that in the steady state some variable ratios, that are present in data, are met. My question is, how do I get such ratios from time series ...
manifold's user avatar
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3 votes
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151 views

A doubt on summary statistic of post*treat variable of a paper using DID (Dong,2019)

Generalized DID or Staggered DID are DID using staggered treatment events. In Dong,2019's paper, he uses the framework as below: $Margin_{ikjt}$ = $\alpha$ + $\beta$ $(Leniency Law)_{kt}$ + $\delta$$...
Phil Nguyen's user avatar
  • 1,090
3 votes
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53 views

Which statstical method/model should I use with my study?

my dear fellows. I mainly do experimental research, so I run experiments in which participants play a game repeatedly (for 20 periods for example). The dataset I get after the experiments would be ...
Lin Jing's user avatar
  • 309
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0 answers
67 views

Question about using elasticities to compare difference rates but with different normalization

Lets say I am estimating a regression of a death rate per 100k people on an economic shock, so: $y = \beta_o + \beta_1 * X+ error$ where the dependent variable is the death rate, and x is the measure ...
Steve's user avatar
  • 125
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0 answers
27 views

Instrumental variable regression: How many interpretations?

I was reading Amemiya "Non-linear regression models" (1983) in which he says that This statement should not be construed as a criticism of Theil's interpretation. I know of at least six ...
kenxavierfractal's user avatar
3 votes
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30 views

Proof of Criteria for Local Identification in Rothenberg (1971)

My question is regarding Theorem 1 (page 579) of Rothenberg (1971). It is associated with four assumptions given on the same page. But, I only have a question about a single step of the proof, so I ...
Derby's user avatar
  • 31
3 votes
0 answers
101 views

What is the observable definition of "preference" by Frisch?

To make things weird, although Frisch was fully aware of the importance of random distribution in economics relations, he never mention the randomness in binary preference relations! How to define ...
High GPA's user avatar
  • 1,866
3 votes
0 answers
82 views

Continuous logit models - random utility with uncountable choice set

This question is about the mathematical foundations of the continuous logit model, as derived in McFadden (1976) (https://eml.berkeley.edu/reprints/mcfadden/math_theory.pdf) and Ben-Akiva et al (1985) ...
John's user avatar
  • 121
3 votes
0 answers
38 views

How reliable is ECB's financial derivatives data?

I am trying to use QSA financial derivatives data retrieved from the ECB's database (this is actually compiled by ECB and Eurostat). To be more specific, the data is: Financial derivatives held as ...
gicanzo's user avatar
  • 51
3 votes
1 answer
191 views

How to test if the effect of one regressor entirely comes from other regressors?

I have a regression model that includes IQ test scores as the dependent variable; my own education, my father's education and my mother's education as independent variables. Suppose I want to know ...
Alex Wang's user avatar
  • 340
3 votes
0 answers
312 views

Combining Difference-in-Differences with Matching Methods When Parallel Trends Are Met in Unmatched Data

I'm running a difference-in-differences (DID) regression on panel data as follows: $$ Y_{it} = \beta_{0} + \beta_{1}Treat_{i}\times Post_{t} + \mathbf{\Pi}\mathbf{X}_{it} + \tau_{i} + \gamma_{t} +\...
Amanda's user avatar
  • 31
3 votes
0 answers
31 views

Resources on the Rotterdam demand system

I've been doing some self study on the Almost Ideal Demand System, and have been hearing a lot about the Rotterdam demand system developed by Henri Theil. I've been looking for resources on google ...
EconJohn's user avatar
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3 votes
0 answers
23 views

Random effect Vs Fixed effect with the 10 CAN provs as cross sections

Im working on a model examining the effect of minimum wages on employment over the 10 provinces using a panel data set. I have used the Hausman test to decide to use RE or FE, in which it recommended ...
Cole's user avatar
  • 73
3 votes
0 answers
89 views

Econometrically estimating the Leontief cost function

in general the Leontief cost function is represented as: $$c(w,y)=y\sum_{i=1}^kw_ix_i$$ where: $$y=\min\left[{\frac{x_1}{\alpha_1},...,\frac{x_n}{\alpha_n}}\right]$$ How does one go about ...
EconJohn's user avatar
  • 8,295
3 votes
0 answers
75 views

What type of biases arise from DID estimation using aggregate data?

I'm considering using difference in difference techniques to write my last two undergraduate papers relating minimum wages and employment/poverty. I've been told issues arise with using aggregate data ...
Cole's user avatar
  • 73
3 votes
1 answer
494 views

Serial correlation and clustered correlation in FE and FD estimators

I'm running a regression on panel data, one time with Fixed Effects and one time with First Differences. The estimators are really different (the FE estimator is statistically significant and the FD ...
Neta_1990's user avatar
  • 333
3 votes
0 answers
462 views

Recursive assumption - Identifying exogenous monetary policy shocks

I am reading through "Monetary Policy Shocks: What Have we Learned and to What End?" and am hoping someone here can offer a bit of clarity about a claim made within about how measurement error in data ...
123's user avatar
  • 2,911
3 votes
0 answers
359 views

A theoretical/mathematical approach to cost-benefit analysis and cost-utility analysis in health economics

I am looking to get some resources looking at health economics from a pure mathematical point of view, ie developing models using partial differential equations or complex analysis. In particular, I ...
masfenix's user avatar
  • 131
3 votes
0 answers
57 views

GMM: Under What Conditions Does Adding a Seemingly Unrelated Moment Condition Increase Efficiency?

For simplicity, I'll offer the simplest of endogenous models. Suppose we have the following scalar model: $y=\beta x+u$ where $E[ux]\neq 0,\;E[uz]=0\; \text{and}\;E[u^2|z]=\sigma^2$ Clearly we can ...
DornerA's user avatar
  • 1,558
3 votes
0 answers
80 views

One-Step estimators for non-linear regression

Let's suppose I have $\sqrt{N}$-consistent estimate, $\beta^{*}$(vector, but couldn't put it in bold), then doing the Gauss-Newton Regression, i.e. $\mathbf{y}-\mathbf{x}(\beta^{*})=D_\mathbf{x}(\beta^...
An old man in the sea.'s user avatar
3 votes
0 answers
17 views

Help Finding Information on "Power Trends" or "Polynomial Trends"

I need to prove some facts about the asymptotic OLS estimator, $\hat{\delta}$ in model: $ y_t = \alpha_t + \delta \cdot t^b + \epsilon_t $ where $\epsilon_t \sim iid(0,\sigma^2)$. I've looked at ...
hipHopMetropolisHastings's user avatar
3 votes
0 answers
239 views

Systematic measurement error in explanatory variable

In the classical errors-in-variables problem, we are looking at the effect of $x^*_i$ on $y$, but $x^*_i$ is misreported. We have observations $x_i = x^*_i +u_i$, where $u_i$ has zero mean mean, ...
damson_jam's user avatar
3 votes
0 answers
248 views

SAS: How to do ARIMA procedure with structural break?

So it seems like my data has a structural break in it, using Box-Jenkins methodology and evaluation such as ADF test wont give appropriate forecasts/results if I do not correct for the structural ...
Dmitry's user avatar
  • 31
3 votes
0 answers
264 views

Forecast of ARMA-GARCH model in R

I managed to forecast a GARCH model yesterday and run a Monte Carlo simulation on R. Nevertheless, I can't do the same with an ARMA-GARCH. I tested 4 different method but without achieving an ARMA-...
Tom's user avatar
  • 31
3 votes
0 answers
141 views

Appropriate economic/econometric tools to analyze segmented promotion optimization problem

I'm trying to determine which micro-economic/econometrics concepts, models, and/or tools are appropriate for an analysis of promotions. Below I Describe the problem in general terms Give ...
Hack-R's user avatar
  • 380
3 votes
0 answers
224 views

Estimation technique: Independent variable (taxation) unknown

I am trying to estimate $\lambda$ from this equation: $(1+ t_t) = \left(\dfrac{C_t}{Y_t}\right)^{\frac{1-\lambda}{\lambda}}$ After taking logs and approximations, I get: $t_t \approx \left( \frac{1-...
Nafis S.'s user avatar
  • 171
3 votes
0 answers
1k views

How do I convert real gdp into chained-dollar real GDP?

I have quarterly data for real GDP from 1981-2015. I also have quarterly chained-dollar real GDP from 61-2012. I need to have them converted into one series. I've looked up several different formulas ...
Lee Sin's user avatar
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